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L1 原始来源 7
L2 专业报道 6
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09.17 · 收盘与产品信号 · AI 前沿 2 · 科技与市场 2 · 一人公司与 FIRE 209.17 17:04 · 6 条
09.17 · 晨间校准 · AI 前沿 2 · 科技与市场 109.17 06:00 · 3 条
09.16 · 收盘与产品信号 · AI 前沿 2 · 科技与市场 209.16 17:02 · 4 条
14 个来源在线Asia/Shanghai · 06 / 17 / 00
INFORMATION LIBRARY / 09.17

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原文可溯源
L1 · 原始来源07.01 08:00

GPT-5.6 把复杂生产工作流推向更低 token 成本

GPT-5.6 的重点不是单一跑分,而是用更少输出 token 完成复杂生产任务,并以 sol / terra / luna 覆盖质量、成本与吞吐量梯度。

OPOpenAI·模型与研究
高优先 97
L1 · 原始来源12.19 08:00

Building effective agents:先用简单组合,再增加自治

可靠 Agent 的共同点是可组合、可观察的小步骤;只有当评测证明收益时,才增加规划、循环和多 Agent 协作。

ANAnthropic Research·Agent 与工具
高优先 88
L1 · 原始来源08.25 15:00

Jalapeño’s first results show industry-leading speed and efficiency in AI inference

Jalapeño’s first results show industry-leading speed and efficiency in AI inference。Jalapeño is a custom inference chip from OpenAI that delivers faster, more power-efficient AI inference, with higher throughput and lower latency for modern models.

OPOpenAI·算力与基础设施
值得读 80
L1 · 原始来源07.01 08:00

Ramen Profitable:先让创始人的生存成本退出融资倒计时

“泡面盈利”不是成熟公司利润最大化,而是尽快覆盖创始人基本生活费,从而把融资从生死期限变成可选择的增长工具。

PAPaul Graham Essays·创业打法
值得读 79
L1 · 原始来源07.17 06:00

一人公司不是‘一个人做所有事’,而是把固定成本变成软件与按需服务

一人公司模型的核心是限制固定组织成本:产品、支持、支付和分发尽可能软件化,把专业劳动留给最有杠杆的环节。

PIPieter Levels·营收与证据
值得读 78
L1 · 原始来源09.17 12:00

EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents

EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents。arXiv:2609.17632v1 Announce Type: new Abstract: Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static hand-written tool-use policies that are fixed before deployment.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源09.15 12:00

ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search。arXiv:2609.13356v1 Announce Type: new Abstract: In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源09.11 12:00

Adaptive Entangled Game Modules in Artificial General Intelligence

Adaptive Entangled Game Modules in Artificial General Intelligence。arXiv:2609.09226v1 Announce Type: new Abstract: We introduce a probability-wave framework for modeling the collective behavior of interacting adaptive agents, deriving testable eigenmodes through a generalized behavioral intelligence (GBI) nonlocal probability-wave equation.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源09.11 12:00

OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows

OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows。arXiv:2609.09203v1 Announce Type: new Abstract: Existing benchmarks for autonomous AI scientists evaluate only final outputs---generated code, hypotheses, or papers---yet discard the reasoning process by which those outputs were obtained.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源09.10 12:00

When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents

When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents。arXiv:2609.05441v1 Announce Type: new Abstract: Long-term memory for LLM agents is evaluated today by conversational recall benchmarks (LoCoMo, LongMemEval), which measure question answering over dialogue history, not whether remembered facts change what a t

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源09.07 12:00

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation。arXiv:2609.04298v1 Announce Type: new Abstract: Evaluating agents on the growing number of agentic benchmarks is challenging because they often require complex environments and agent integrations.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源09.07 12:00

From Matching Models to Recruiting Agents: A Systematized Narrative Review of AI Recruitment Systems, Evaluation, and Governance

From Matching Models to Recruiting Agents: A Systematized Narrative Review of AI Recruitment Systems, Evaluation, and Governance。arXiv:2609.04286v1 Announce Type: new Abstract: Artificial intelligence in recruitment has shifted the object being automated from profile pairs and ranked lists to multi-stage workflows that retrieve evidence, compare ca

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源09.07 12:00

EXAONE Forecast for Finance

EXAONE Forecast for Finance。arXiv:2609.04239v1 Announce Type: new Abstract: This technical report presents EXAONE Forecast for Finance (EXAONE Finance), a financial time series (TS) foundation model (TSFM) tailored to financial forecasting.

ARarXiv · Artificial Intelligence·模型与研究
值得读 77
L1 · 原始来源09.04 12:00

Speculative Macro Commit for Faster Tool-Using Agents

Speculative Macro Commit for Faster Tool-Using Agents。arXiv:2609.03236v1 Announce Type: new Abstract: Tool-using LLM agents spend wall-clock time not only on model inference but also in serial action--observation turns, where each tool call, environment transition, and observation can delay subsequent decisions.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源09.03 12:00

EvalDetectBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models

EvalDetectBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models。arXiv:2609.01611v1 Announce Type: new Abstract: Frontier large language models can often recognize when they are being evaluated, a capability known as evaluation awareness.

ARarXiv · Artificial Intelligence·政策与安全
值得读 77
L1 · 原始来源09.01 12:00

A collective capability boundary in frontier large language models on guideline-conformant and case-specific oncology decision-making

A collective capability boundary in frontier large language models on guideline-conformant and case-specific oncology decision-making。arXiv:2608.28592v1 Announce Type: new Abstract: Large language models (LLMs) achieve high scores on medical knowledge examinations, yet real-world oncology is not a knowledge test--it is a sequence of guideline-pathw

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 77
L1 · 原始来源09.01 12:00

DS-Lighting: Making Agent Harnesses Explicit for Data-Science Automation

DS-Lighting: Making Agent Harnesses Explicit for Data-Science Automation。arXiv:2608.28590v1 Announce Type: new Abstract: Large Language Model (LLM) agents have shown promise for automating data-science workflows, yet their end-to-end performance depends critically on the agent harness that represents tasks, manages execution state, constrains outpu

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.28 12:00

Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset

Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset。arXiv:2608.26109v1 Announce Type: new Abstract: Machine-learning models can predict ICU mortality accurately, but feature-attribution methods alone rarely provide the clinical narrative needed for bedside use.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L2 · 专业报道08.27 05:49

Nvidia revenue doubles on continued AI demand

Nvidia revenue doubles on continued AI demand。Chipmaker's $96bn quarter beat forecasts as demand for AI hardware continues to accelerate.

BBBBC Technology·宏观与利率
值得读 77
L1 · 原始来源08.26 12:00

LLM Agents Perform Controlled Experiments Using Simulation Models

LLM Agents Perform Controlled Experiments Using Simulation Models。arXiv:2608.23622v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong capabilities in reasoning, planning, and tool use, but many scientific and engineering tasks require more than plausible text and code generation.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.25 12:00

KVBoost: Chunk-Level Key-Value Cache Reuse with Deviation-Guided Recomputation for Efficient Large Language Model Inference

KVBoost: Chunk-Level Key-Value Cache Reuse with Deviation-Guided Recomputation for Efficient Large Language Model Inference。arXiv:2608.21362v1 Announce Type: new Abstract: Transformer-based large language models (LLMs) incur high prefill latency because key-value (KV) tensors must be recomputed for each request.

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 77
L1 · 原始来源08.24 12:00

PrimeAgentOrchestrator: Memory-Primed Agent Spawning for Personal AI Infrastructure

PrimeAgentOrchestrator: Memory-Primed Agent Spawning for Personal AI Infrastructure。arXiv:2608.20342v1 Announce Type: new Abstract: Large language model (LLM) coding agents start each session with an empty context window, discarding accumulated knowledge from prior work.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.21 12:00

Active Inference as Context Acquisition for AI Agents

Active Inference as Context Acquisition for AI Agents。arXiv:2608.19202v1 Announce Type: new Abstract: Interactive AI agents must acquire the right context as efficiently as possible.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.20 12:00

Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges

Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges。arXiv:2608.18080v1 Announce Type: new Abstract: We present a review on the applications of large language models (LLMs) in health, e.g., social media analysis, clinical conversational agents, therapy support tools, prompt engineering, mu

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.20 12:00

Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions

Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market Decisions。arXiv:2608.18078v1 Announce Type: new Abstract: This position paper argues that AI agents with chain-of-thought reasoning capabilities are predisposed to exhibit collusive behavior and should be required to obtain behavioral certificat

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.19 12:00

GxP-Agent: Process-DAG Topology for Reliable Clinical Trial Programming with LLM Agents

GxP-Agent: Process-DAG Topology for Reliable Clinical Trial Programming with LLM Agents。arXiv:2608.16890v1 Announce Type: new Abstract: Clinical trial programming -- transforming study protocols into analysis-ready datasets under CDISC standards -- is a bottleneck in regulatory submissions, yet LLM-based code generation fails catastrophically on th

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.18 12:00

The Unwritten Benchmark: A New Challenge for Multimodal Machine Learning in Abstract Perceptual Reasoning

The Unwritten Benchmark: A New Challenge for Multimodal Machine Learning in Abstract Perceptual Reasoning。arXiv:2608.14558v1 Announce Type: new Abstract: Current multimodal models have demonstrated remarkable proficiency in recognizing static visual and auditory content.

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 77
L1 · 原始来源08.18 12:00

Large Language Models Show Metacognitive Sensitivity in Medical Reasoning

Large Language Models Show Metacognitive Sensitivity in Medical Reasoning。arXiv:2608.14552v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly evaluated and used in medicine, but clinical usefulness depends on answer accuracy and whether confidence tracks evidence quality and uncertainty.

ARarXiv · Artificial Intelligence·模型与研究
值得读 77
L1 · 原始来源08.17 12:00

Depth-Aware Sensitivity Analysis of Mixture-of-Experts Models via Magnitude-Based Expert Masking

Depth-Aware Sensitivity Analysis of Mixture-of-Experts Models via Magnitude-Based Expert Masking。arXiv:2608.13565v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) architectures scale large language models (LLMs) while preserving computational efficiency through sparse activation.

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 77
L1 · 原始来源08.14 12:00

Diagnostic Foundation for Evaluating LLMs' Research Integrity as Co-Scientists

Diagnostic Foundation for Evaluating LLMs' Research Integrity as Co-Scientists。arXiv:2608.12345v1 Announce Type: new Abstract: Language models are increasingly deployed as co-scientists, yet their ability to uphold research integrity under institutional pressure remains unmeasured.

ARarXiv · Artificial Intelligence·模型与研究
值得读 77
L1 · 原始来源08.13 12:00

Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration

Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration。arXiv:2608.11210v1 Announce Type: new Abstract: Bayesian calibration of process-based models requires a prior distribution for each model parameter.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.13 12:00

Dynamic Governance of Multi-LLM Agent Systems for Collaborative Conversational Outcomes

Dynamic Governance of Multi-LLM Agent Systems for Collaborative Conversational Outcomes。arXiv:2608.11207v1 Announce Type: new Abstract: When two LLM agents with structurally opposed objectives interact across multiple turns, the absence of a shared goal function produces not competition but collapse: the visitor capitulates, the site agent stops va

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源08.12 12:00

Closed-Loop LLM Co-Pilots for Digital Agriculture

Closed-Loop LLM Co-Pilots for Digital Agriculture。arXiv:2608.09949v1 Announce Type: new Abstract: This study evaluates the application of Large Language Models (LLMs) in complex biological systems, evolving from data analysis to autonomous, AI-guided experimentation.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L2 · 专业报道08.05 05:57

SpaceX's first-ever earnings show higher revenues and huge spending

SpaceX's first-ever earnings show higher revenues and huge spending。Elon Musk's company has struggled to maintain investor enthusiasm that greeted its stock market debut.

BBBBC Technology·上市科技公司
值得读 77
L1 · 原始来源08.03 12:00

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review。arXiv:2607.28631v1 Announce Type: new Abstract: AI Scientist systems capable of autonomous research have the potential to significantly accelerate scientific discovery.

ARarXiv · Artificial Intelligence·模型与研究
值得读 77
L1 · 原始来源08.03 12:00

OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems

OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems。arXiv:2607.28629v1 Announce Type: new Abstract: The rapid transition from reactive large language models (LLMs) to persistent, action-capable systems has exposed critical gaps in the architectural understanding of Agentic AI, particularly in separating inferenc

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.31 12:00

ClinLens: Towards Long-Horizon Coding Agents for Longitudinal Multimodal Clinical Data Science

ClinLens: Towards Long-Horizon Coding Agents for Longitudinal Multimodal Clinical Data Science。arXiv:2607.26155v1 Announce Type: new Abstract: Clinical data-science agents must transform heterogeneous longitudinal records into auditable analyses, yet existing benchmarks largely isolate medical question answering, structured-table reasoning, or gene

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.31 12:00

Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems

Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems。arXiv:2607.26120v1 Announce Type: new Abstract: Large Language Models (LLMs)-powered multi-agent systems are increasingly deployed in mixed-motive environments, where agents operate under asymmetric information and strategic deception due to conflicting or hidden ob

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.29 12:00

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels

Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels。arXiv:2607.24762v1 Announce Type: new Abstract: Machine learning models are increasingly embedded in everyday software, and most of their runtime is spent in a small set of compute kernels such as matrix multiplication, convolution, and normalization.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.24 12:00

Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts

Marking the Wrong Symptoms: Evaluating LLM Watermarks in Medical Texts。arXiv:2607.20462v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly integrated into clinical workflows, stressing the need for reliable traceability of model-generated output with watermarking.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.23 12:00

OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks

OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks。arXiv:2607.19351v1 Announce Type: new Abstract: LLM-based multi-agent systems (LLM-MAS) are increasingly deployed in safety-critical applications, where adversaries inject malicious instructions through inter-agent communication to propagate harmful behav

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.23 12:00

FineServe: A Fine-Grained Dataset and Characterization of Global LLM Serving Workloads

FineServe: A Fine-Grained Dataset and Characterization of Global LLM Serving Workloads。arXiv:2607.19349v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as always-on online services, making efficient LLM serving a critical systems challenge.

ARarXiv · Artificial Intelligence·模型与研究
值得读 77
L1 · 原始来源07.22 12:00

BatchDAG: LLM-Planned Execution Graphs for Scalable Ad-Hoc Analysis Over Enterprise Data

BatchDAG: LLM-Planned Execution Graphs for Scalable Ad-Hoc Analysis Over Enterprise Data。arXiv:2607.18241v1 Announce Type: new Abstract: Large language models (LLMs) excel at analyzing individual documents but break down on exhaustive, cross-entity analytical questions over enterprise-scale datasets due to context overflow, loss of per-entity attri

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.22 12:00

Calibrated Selective Fact-Checking via Evidence Chain Evaluation

Calibrated Selective Fact-Checking via Evidence Chain Evaluation。arXiv:2607.18240v1 Announce Type: new Abstract: Large language models (LLMs) can achieve strong fact-checking accuracy, yet forced binary decisions conceal a critical reliability problem: systems may issue confident verdicts even when supporting evidence is weak, sparse, or internally

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.21 12:00

Some Large Language Models Exhibit Consistent Risk Attitudes

Some Large Language Models Exhibit Consistent Risk Attitudes。arXiv:2607.16197v1 Announce Type: new Abstract: As artificial intelligence systems are deployed in open-ended, high-stakes settings, a critical dimension remains unmeasured: how perceived risk is translated into action.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.20 12:00

Cura 1T: Specialized Model for Agentic Healthcare

Cura 1T: Specialized Model for Agentic Healthcare。arXiv:2607.15314v1 Announce Type: new Abstract: Healthcare spans high-stakes communication, expert reasoning, and workflow execution, yet specialized LLMs that cover these use cases together remain limited.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L1 · 原始来源07.20 12:00

Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction

Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain Construction。arXiv:2607.15281v1 Announce Type: new Abstract: Causal and intervention-based question answering is fundamental to advancing large language models (LLMs) toward reasoning beyond surface-level correlations and understanding underlying causal mechani

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 77
L1 · 原始来源07.20 12:00

GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis

GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis。arXiv:2607.15280v1 Announce Type: new Abstract: Sequential diagnosis requires balancing diagnostic accuracy against resource costs through iterative information gathering.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 77
L2 · 专业报道07.18 00:53

China's Moonshot AI claims Kimi K3 can rival OpenAI and Anthropic

China's Moonshot AI claims Kimi K3 can rival OpenAI and Anthropic。The company has unveiled a massive new artificial intelligence model it says can take on top American firms.

BBBBC Technology·模型与研究
值得读 77
L1 · 原始来源09.16 21:00

Reimagining advertising with AI

Reimagining advertising with AI。Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.

OPOpenAI·Agent 与工具
值得读 77
L1 · 原始来源08.25 15:05

The full stack behind abundant intelligence

The full stack behind abundant intelligence。OpenAI CFO Sarah Friar explains how advances across chips, compute, models, and products compound to deliver more useful intelligence at greater scale and lower cost.

OPOpenAI·算力与基础设施
值得读 77
L1 · 原始来源08.20 03:00

Offering Zero Data Retention for frontier models

Offering Zero Data Retention for frontier models。OpenAI reaffirms Zero Data Retention for eligible API customers and previews Private Safety Processing for advanced AI safety without compromising data privacy.

OPOpenAI·政策与安全
值得读 77
L1 · 原始来源08.13 19:00

The builder’s guide to GPT‑5.6

The builder’s guide to GPT‑5.6。Learn how startups use GPT-5.6 to build faster, more cost-efficient AI agents with smarter model selection and new Responses API capabilities.

OPOpenAI·Agent 与工具
值得读 77
L1 · 原始来源07.29 18:00

Accelerating scientific discovery with ChatGPT for Academic Researchers

Accelerating scientific discovery with ChatGPT for Academic Researchers。OpenAI is giving 100,000 academic researchers free access to ChatGPT's most advanced AI models to accelerate scientific research, collaboration, and discovery.

OPOpenAI·模型与研究
值得读 77
L1 · 原始来源07.29 08:00

How GPT-5.6 fuses frontier intelligence with frontier efficiency

How GPT-5.6 fuses frontier intelligence with frontier efficiency。GPT-5.6 improves AI efficiency across models, inference, and agentic workflows, helping deliver more useful intelligence per dollar.

OPOpenAI·Agent 与工具
值得读 77
L1 · 原始来源07.22 13:30

Introducing OpenAI Presence

Introducing OpenAI Presence。Introducing OpenAI Presence, a proven enterprise AI agent platform that helps organizations deploy trusted voice and chat agents for customer and internal workflows.

OPOpenAI·Agent 与工具
值得读 77
L2 · 专业报道09.10 21:23

Chip startup d-Matrix to use Nvidia chip-linking tech in AI servers - Reuters

Chip startup d-Matrix to use Nvidia chip-linking tech in AI servers。Chip startup d-Matrix to use Nvidia chip-linking tech in AI servers Reuters

REReuters Technology·芯片与供应链
值得读 75
L2 · 专业报道09.15 00:27

Emerging-Market Stocks Decline on Mideast Tensions, Rate Risks - bloomberg.com

Emerging-Market Stocks Decline on Mideast Tensions, Rate Risks。Emerging-Market Stocks Decline on Mideast Tensions, Rate Risks bloomberg.com

BLBloomberg Technology·宏观与利率
值得读 75
L2 · 专业报道09.01 01:07

Emerging-Market Stocks Fall as Warsh Stokes Fed Rate-Hike Bets - Bloomberg.com

Emerging-Market Stocks Fall as Warsh Stokes Fed Rate-Hike Bets。Emerging-Market Stocks Fall as Warsh Stokes Fed Rate-Hike Bets Bloomberg.com

BLBloomberg Technology·宏观与利率
值得读 75
L2 · 专业报道08.27 06:10

Tech Stocks Rise as Nvidia’s Outlook Fuels AI Bets: Markets Wrap - Bloomberg

Tech Stocks Rise as Nvidia’s Outlook Fuels AI Bets: Markets Wrap。Tech Stocks Rise as Nvidia’s Outlook Fuels AI Bets: Markets Wrap Bloomberg

BLBloomberg Technology·芯片与供应链
值得读 75
L2 · 专业报道08.24 14:15

Nvidia and Warsh Will Test a Stock Market That’s in Mid-Rotation - Bloomberg.com

Nvidia and Warsh Will Test a Stock Market That’s in Mid-Rotation。Nvidia and Warsh Will Test a Stock Market That’s in Mid-Rotation Bloomberg.com

BLBloomberg Technology·芯片与供应链
值得读 75
L2 · 专业报道07.18 04:26

Chips Stocks Sink Into Bear Market as 105% AI Rally Fizzles - Bloomberg.com

Chips Stocks Sink Into Bear Market as 105% AI Rally Fizzles。Chips Stocks Sink Into Bear Market as 105% AI Rally Fizzles Bloomberg.com

BLBloomberg Technology·芯片与供应链
值得读 75
L2 · 专业报道09.17 07:18

Would you buy branded clothing from your favourite tech firm?

Would you buy branded clothing from your favourite tech firm?。Nvidia, OpenAI and Anthropic are all now selling their own limited edition fashion lines.

BBBBC Technology·芯片与供应链
值得读 74
L1 · 原始来源09.16 12:00

Optimal Pruning for Neural Architectures using Fisher Information Distances

Optimal Pruning for Neural Architectures using Fisher Information Distances。arXiv:2609.16129v1 Announce Type: new Abstract: A new scheme for parameter pruning is introduced, derived from the differential-geometric distance in model space.

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 74
L1 · 原始来源09.12 12:00

Automating Quadratic Unconstrained Binary Optimization (QUBO) Formulation Generation from Natural Language

Automating Quadratic Unconstrained Binary Optimization (QUBO) Formulation Generation from Natural Language。arXiv:2609.10629v1 Announce Type: new Abstract: Quadratic Unconstrained Binary Optimization (QUBO) is a central formulation for combinatorial optimization and has gained increasing attention due to its compatibility with quantum, hybrid quantu

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源09.10 12:00

Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models

Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models。arXiv:2609.05437v1 Announce Type: new Abstract: Previous AI alignment efforts have focused primarily on first-order social norms -- teaching models what is socially acceptable or unacceptable (e.g., `do not steal').

ARarXiv · Artificial Intelligence·政策与安全
值得读 74
L1 · 原始来源09.04 12:00

MasterControl Seventeen Every Time

MasterControl Seventeen Every Time。arXiv:2609.03209v1 Announce Type: new Abstract: We study a governed approach to enterprise analytics: a language model interprets the question, while deterministic policy selects and runs a pre-approved analytical program that returns both results and evidence.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源09.02 12:00

Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing

Discrete-Time MDP Modeling for Multi-Item Capacitated Lot Sizing with Stochastic Demand Timing。arXiv:2609.00004v1 Announce Type: new Abstract: This paper studies a finite-horizon multi-item capacitated lot-sizing problem in which demand quantities are deterministic, while demand-arrival periods are stochastic.

ARarXiv · Artificial Intelligence·政策与安全
值得读 74
L1 · 原始来源09.02 12:00

I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models

I-CARE: Analysis of interference-related phenomena in a controllable, diverse and representative unlearning setting for text-to-image models。arXiv:2609.00003v1 Announce Type: new Abstract: Machine unlearning studies the removal of knowledge from an AI model, making the system forget a concept it previously learned.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源09.02 12:00

HyperWorld: Hypergraph-Structured State Serialization Improves Learned Textual World Models

HyperWorld: Hypergraph-Structured State Serialization Improves Learned Textual World Models。arXiv:2609.00002v1 Announce Type: new Abstract: World models enable language-model agents to predict environment dynamics and plan before acting.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源09.01 12:00

Expert-validated STEM QA

Expert-validated STEM QA。arXiv:2608.28591v1 Announce Type: new Abstract: Recent advancements in AI are helping scientists achieve breakthroughs in fields such as mathematics, medicine, and materials sciences.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源08.28 12:00

EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for Early Academic Risk Prediction

EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for Early Academic Risk Prediction。arXiv:2608.26107v1 Announce Type: new Abstract: Predicting students' academic risk in online education is crucial for enabling timely interventions that can improve retention and learning outcomes.

ARarXiv · Artificial Intelligence·产品与采用
值得读 74
L1 · 原始来源08.26 12:00

ESQ-Bench: A Multi-Tier Enterprise Oracle Benchmark for Evaluating NL2SQL Dialect Generalization and Silent Semantic Divergence

ESQ-Bench: A Multi-Tier Enterprise Oracle Benchmark for Evaluating NL2SQL Dialect Generalization and Silent Semantic Divergence。arXiv:2608.23569v1 Announce Type: new Abstract: State-of-the-art Natural Language to SQL (NL2SQL) models report execution accuracy exceeding 89 percent on established benchmarks such as Spider and BIRD.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源08.26 12:00

RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation

RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation。arXiv:2608.23568v1 Announce Type: new Abstract: Memory and RAG evaluations often treat the answering model's input as an implementation detail, even though systems may render the same history as a memory entry, summary, typed record, or raw excerpt.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源08.24 12:00

Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification

Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification。arXiv:2608.20378v1 Announce Type: new Abstract: Safety alignment in Large Language Models (LLMs) is often superficial, relying on refusal mechanisms that trigger only at the final stages of generation without erasing the foundational knowledge of harmful concepts acquire

ARarXiv · Artificial Intelligence·政策与安全
值得读 74
L1 · 原始来源08.24 12:00

SDAD: Spec-Driven Agentic Development for the AI-Native SDLC

SDAD: Spec-Driven Agentic Development for the AI-Native SDLC。arXiv:2608.20341v1 Announce Type: new Abstract: Frontier coding agents backed by large language models with context windows from hundreds of thousands to millions of tokens are restructuring the Software Development Life Cycle (SDLC).

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源08.17 12:00

Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation

Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation。arXiv:2608.13564v1 Announce Type: new Abstract: Evaluating language-model agents at scale increasingly relies on a second language model as an automatic judge, because the gold signal, an executable environment reward, is expensive, slow, or unavailable at deploymen

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源08.12 12:00

SPOTting the Future: Lookahead Explanations for Deep Reinforcement Learning

SPOTting the Future: Lookahead Explanations for Deep Reinforcement Learning。arXiv:2608.09967v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) agents achieve strong performance in complex environments, yet their decision-making processes remain difficult to interpret.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L2 · 专业报道08.11 16:44

Wall Street giants hand Nvidia $500bn to fund boom in AI projects

Wall Street giants hand Nvidia $500bn to fund boom in AI projects。The money will be used to develop new data centres to house, operate, and cool miles of stacked computer chips that process AI data and actions.

BBBBC Technology·宏观与利率
值得读 74
L1 · 原始来源08.11 12:00

Determinization in Structure Theories: A Unified Framework via Closure, Comparability, and Joint Admissibility

Determinization in Structure Theories: A Unified Framework via Closure, Comparability, and Joint Admissibility。arXiv:2608.07476v1 Announce Type: new Abstract: We develop a formal framework for constructing canonical interpretations from plural structure theories.

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 74
L1 · 原始来源08.10 12:00

EntropyMoE: Entropy-Aware Sparse Expert Routing for Tokenizer-Free LLMs

EntropyMoE: Entropy-Aware Sparse Expert Routing for Tokenizer-Free LLMs。arXiv:2608.06398v1 Announce Type: new Abstract: Recent byte-level large language models (LLMs) have made tokenizer-free modeling increasingly competitive by grouping bytes into dynamically sized patches.

ARarXiv · Artificial Intelligence·政策与安全
值得读 74
L1 · 原始来源08.07 12:00

Woodpecker Distillation: Weak Models Diagnose Reasoning Bugs in Strong Models

Woodpecker Distillation: Weak Models Diagnose Reasoning Bugs in Strong Models。arXiv:2608.05168v1 Announce Type: new Abstract: Large language models often fail on reasoning tasks despite possessing the capability to solve them.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源08.07 12:00

The Ignition Index: Measuring Global Workspace Dynamics in Language Models

The Ignition Index: Measuring Global Workspace Dynamics in Language Models。arXiv:2608.05160v1 Announce Type: new Abstract: We introduce the Ignition Index (I), a validated scalar metric that operationalizes Global Workspace Theory's (GWT) all-or-none ignition prediction in transformer language models.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源08.06 12:00

Monte Carlo Tree Search for Table-to-Multimodal Report Generation

Monte Carlo Tree Search for Table-to-Multimodal Report Generation。arXiv:2608.04071v1 Announce Type: new Abstract: Automatically generating professional multimodal reports comprising both textual analysis and visual charts from structured tabular data is a critical challenge in data intelligence.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源08.06 12:00

The LLM Proposes, the Executive Disposes: A Self-Verifying Agent Instrument that Dissociates Commitment Drift from Binding Drift in Long-Horizon Agents

The LLM Proposes, the Executive Disposes: A Self-Verifying Agent Instrument that Dissociates Commitment Drift from Binding Drift in Long-Horizon Agents。arXiv:2608.04066v1 Announce Type: new Abstract: How do you verify a long-horizon agent when its own state and self-reports are exactly what you cannot trust?

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源08.06 12:00

A Long-Run Persistence Theory for AI Systems under the Redundancy-Adjusted Artificial Age Score (AAS)

A Long-Run Persistence Theory for AI Systems under the Redundancy-Adjusted Artificial Age Score (AAS)。arXiv:2608.04012v1 Announce Type: new Abstract: Artificial intelligence systems are increasingly expected to operate over repeated cycles of interaction, adaptation, and update rather than through isolated one-shot outputs.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源08.05 12:00

Beyond the Hivemind: Escaping LLM Homogeneity via Meta-Persona Anchoring and Sequential Temperature Scaling

Beyond the Hivemind: Escaping LLM Homogeneity via Meta-Persona Anchoring and Sequential Temperature Scaling。arXiv:2608.02618v1 Announce Type: new Abstract: Recent studies have identified an ``Artificial Hivemind'' effect in Large Language Models (LLMs) causing models to converge on a narrow, homogenized consensus even for open questions.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源08.05 12:00

ISEE: Interactive Semantic Enrichment for Database Fields

ISEE: Interactive Semantic Enrichment for Database Fields。arXiv:2608.02604v1 Announce Type: new Abstract: LLM-based agents are increasingly being deployed for data-related tasks, including data sense-making, exploration, and retrieval.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L2 · 专业报道08.05 08:02

AI used new levels of 'autonomy and deception' to trick people in safety test

AI used new levels of 'autonomy and deception' to trick people in safety test。The UK's AI Safety Institute said recent behaviour from Anthropic and OpenAI models was malicious and unprecedented.

BBBBC Technology·政策与安全
值得读 74
L1 · 原始来源07.29 12:00

Beyond Memory: A Templated Substrate for Heterogeneous Collaborative Knowledge Work with LLM Agents

Beyond Memory: A Templated Substrate for Heterogeneous Collaborative Knowledge Work with LLM Agents。arXiv:2607.24759v1 Announce Type: new Abstract: Research projects, educational efforts, and adjacent knowledge work accumulate findings, decisions, and reasoning that future collaborators rarely recover.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源07.29 12:00

Do Models Fake Alignment Without Clear Consequences?

Do Models Fake Alignment Without Clear Consequences?。arXiv:2607.24758v1 Announce Type: new Abstract: Large language models are capable of recognizing evaluation contexts and altering their behavior to reflect evaluator expectations rather than typical deployment behaviors, a phenomenon known as alignment faking.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源07.28 12:00

SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series

SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series。arXiv:2607.22548v1 Announce Type: new Abstract: Data centers and their compute nodes require accurate and flexible digital twins capable of modeling the complex interplay of workloads, environmental parameters, and physical metrics.

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 74
L1 · 原始来源07.28 12:00

Concept-based Visual Counterfactual Explanations with Diffusion Models

Concept-based Visual Counterfactual Explanations with Diffusion Models。arXiv:2607.22544v1 Announce Type: new Abstract: Visual counterfactual explanations aim to answer "what minimal change to this image would flip the model's prediction?", and are increasingly important as vision models are deployed in safety-critical domains (e.g., medicine).

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源07.24 12:00

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models

ClickGuard: Detecting and Spoiling Clickbait News with Informativeness Measures and Large Language Models。arXiv:2607.20463v1 Announce Type: new Abstract: This paper presents an AI-driven browser extension that identifies clickbait to help users avoid misleading Internet articles.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源07.24 12:00

AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics

AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics。arXiv:2607.20452v1 Announce Type: new Abstract: Modern software quality assurance demands intelligent, autonomous systems capable of adaptive decision-making across distributed cloud environments.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源07.22 12:00

SysAdmin: Measuring Instrumental Power-Seeking in Frontier AI

SysAdmin: Measuring Instrumental Power-Seeking in Frontier AI。arXiv:2607.18239v1 Announce Type: new Abstract: Power-seeking defined as behaviors where AI systems acquire resources, evade oversight, or resist termination beyond task requirements is identified as a key driver of Loss of Control (LoC) risk.

ARarXiv · Artificial Intelligence·模型与研究
值得读 74
L1 · 原始来源07.21 12:00

Design and Validation of a Lightweight 1D CNN for Affective Touch Classification in Soft Plush Companions

Design and Validation of a Lightweight 1D CNN for Affective Touch Classification in Soft Plush Companions。arXiv:2607.16196v1 Announce Type: new Abstract: Soft, sensorized companions offer a physically safe and emotionally intuitive interface for socially assistive technologies, yet their deformability and multichannel tactile sensing complicate the

ARarXiv · Artificial Intelligence·算力与基础设施
值得读 74
L1 · 原始来源07.18 12:00

Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and Rescue

Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and Rescue。arXiv:2607.14093v1 Announce Type: new Abstract: This paper presents a novel three level hierarchical learning architecture for autonomous UAV swarms performing search and rescue operations.

ARarXiv · Artificial Intelligence·Agent 与工具
值得读 74
L1 · 原始来源09.14 20:00

How Fyxer built an AI executive assistant people trust

How Fyxer built an AI executive assistant people trust。Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.

OPOpenAI·产品与采用
值得读 73
L1 · 原始来源09.09 19:00

GPT-6 Astra: The next generation in intelligence for work

GPT-6 Astra: The next generation in intelligence for work。Meet GPT-6 Astra, OpenAI’s most capable model for business, with advanced reasoning, computer use, and stronger writing and design judgment.

OPOpenAI·算力与基础设施
值得读 73
L1 · 原始来源09.06 16:00

Research acceleration: The view inside OpenAI

Research acceleration: The view inside OpenAI。Inside OpenAI, coding agents are reshaping AI research.

OPOpenAI·Agent 与工具
值得读 73
L1 · 原始来源09.02 20:00

ATV Big Air Tour turned 3 days of work into 3 hours with ChatGPT

ATV Big Air Tour turned 3 days of work into 3 hours with ChatGPT。ATV Big Air Tour uses ChatGPT Work to speed up marketing, merchandising, and more.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源09.01 21:00

Path to Astra: critical capabilities and frontier safeguards

Path to Astra: critical capabilities and frontier safeguards。Astra is the first OpenAI model to meet the Critical cybersecurity capability threshold under the Preparedness Framework, with stronger safeguards for release.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源08.31 15:00

Polimill builds Japan's next-generation public AI infrastructure

Polimill builds Japan's next-generation public AI infrastructure。Polimill uses OpenAI GPT models and Codex to help municipalities search and use administrative knowledge while accelerating development.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源08.31 12:00

A milestone in expanding access to AI

A milestone in expanding access to AI。ChatGPT Ads reaches $1 billion in annualized revenue run rate and expands globally, supporting broader access to AI through free and affordable options.

OPOpenAI·宏观与利率
值得读 73
L1 · 原始来源08.28 14:00

Our decision on Cursor following its acquisition by SpaceX

Our decision on Cursor following its acquisition by SpaceX。Our decision to wind down our contract providing OpenAI models to Cursor following its acquisition by SpaceX.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源08.28 10:00

Supporting Thailand’s next generation of AI startups

Supporting Thailand’s next generation of AI startups。OpenAI and Thailand’s MHESI launch an eight-week accelerator helping 10 health, wellness, and education startups turn AI prototypes into trusted products.

OPOpenAI·产品与采用
值得读 73
L1 · 原始来源08.26 08:00

The Hugging Face incident and the road ahead

The Hugging Face incident and the road ahead。OpenAI shares findings from the Hugging Face security incident and the steps we’re taking to strengthen AI model security, monitoring, and alignment.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源08.20 15:00

Introducing AI Futures

Introducing AI Futures。Introducing AI Futures, a new OpenAI blog exploring how transformative AI could reshape power, governance, the economy, and individual freedom.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源08.18 19:00

Pacing model development in an era of cyber-critical capabilities

Pacing model development in an era of cyber-critical capabilities。OpenAI is strengthening monitoring, alignment, and security for frontier AI models.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源08.17 13:00

OpenAI joins PORTS-Pike project

OpenAI joins PORTS-Pike project。OpenAI joins PORTS-Pike project, expanding community investment and supporting thousands of Southern Ohio jobs

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源08.13 17:00

OpenAI appoints Dali Rajic as Chief Revenue Officer

OpenAI appoints Dali Rajic as Chief Revenue Officer。OpenAI appoints Dali Rajic as Chief Revenue Officer to lead its global revenue organization and help businesses realize the full value of AI.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源08.12 14:00

From assistance to execution: How enterprises put AI to work

From assistance to execution: How enterprises put AI to work。OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.

OPOpenAI·Agent 与工具
值得读 73
L1 · 原始来源08.11 18:00

Daybreak models are now available on AWS

Daybreak models are now available on AWS。OpenAI and AWS are making Daybreak cybersecurity capabilities available through Amazon Bedrock to support enterprise security workflows.

OPOpenAI·Agent 与工具
值得读 73
L1 · 原始来源08.05 03:00

Third-party cyber evaluations involving OpenAI models

Third-party cyber evaluations involving OpenAI models。OpenAI explains recent third-party cybersecurity evaluation incidents and outlines new safeguards to strengthen AI model testing and evaluation.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源07.30 18:00

Advancing the price-performance frontier with GPT-5.6

Advancing the price-performance frontier with GPT-5.6。Explore lower GPT‑5.6 pricing for Luna and Terra—and how OpenAI’s more efficient models help enterprises deploy AI workflows at scale.

OPOpenAI·Agent 与工具
值得读 73
L1 · 原始来源07.30 08:00

How avatarin built a 24/7 retail agent with GPT-Realtime

How avatarin built a 24/7 retail agent with GPT-Realtime。avatarin uses OpenAI’s GPT-Realtime to give Yamada Denki shoppers 24/7 multilingual support.

OPOpenAI·Agent 与工具
值得读 73
L1 · 原始来源07.22 21:00

Building AI infrastructure with the Effingham County community

Building AI infrastructure with the Effingham County community。OpenAI announces Project Camellia in Effingham County, Georgia, with commitments to responsible energy, community investment, jobs, and access to Codex.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源07.22 20:00

Advancing the next era of national science

Advancing the next era of national science。OpenAI outlines its commitment to advancing American science working with the U.S.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源07.21 15:00

OpenAI and Hugging Face partner to address security incident during model evaluation

OpenAI and Hugging Face partner to address security incident during model evaluation。OpenAI and Hugging Face share early findings from a security incident during AI model evaluation, highlighting advanced cyber capabilities and lessons for defenders.

OPOpenAI·模型与研究
值得读 73
L1 · 原始来源07.20 18:00

Safety and alignment in an era of long-horizon models

Safety and alignment in an era of long-horizon models。OpenAI shares lessons from deploying long-running AI models, highlighting new safety risks, observed failures, and improved safeguards through iterative deployment.

OPOpenAI·政策与安全
值得读 73
L1 · 原始来源07.16 08:00

How Cars24 scales conversations and builds faster with OpenAI

How Cars24 scales conversations and builds faster with OpenAI。Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company.

OPOpenAI·Agent 与工具
值得读 73
L1 · 原始来源01.13 08:00

提前退休的简单数学:储蓄率同时缩短目标、增加供给

储蓄率之所以是 FIRE 的关键变量,是因为少花一元既增加当期可投资资金,也永久降低未来需要资产覆盖的生活成本。

MRMr. Money Mustache·FIRE 与现金流
值得读 73
L1 · 原始来源08.13 09:21

Patterns and problems in emerging multiagent systems - Anthropic

Patterns and problems in emerging multiagent systems。Patterns and problems in emerging multiagent systems Anthropic

ANAnthropic Research·Agent 与工具
值得读 73
L1 · 原始来源07.24 23:04

Project Pilot: Can AI models fly drones? - Anthropic

Project Pilot: Can AI models fly drones?。Project Pilot: Can AI models fly drones?

ANAnthropic Research·模型与研究
值得读 73
L2 · 专业报道09.16 21:25

Apple considers Nvidia tech for return to server market, The Information reports - Reuters

Apple considers Nvidia tech for return to server market, The Information reports。Apple considers Nvidia tech for return to server market, The Information reports Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道09.14 22:14

Nasdaq drags on Wall St as AI slowdown fears hammer Nvidia, chipmakers - Reuters

Nasdaq drags on Wall St as AI slowdown fears hammer Nvidia, chipmakers。Nasdaq drags on Wall St as AI slowdown fears hammer Nvidia, chipmakers Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道09.13 07:13

Anthropic CEO urges AI companies to slow model development amid fears over misuse - Reuters

Anthropic CEO urges AI companies to slow model development amid fears over misuse。Anthropic CEO urges AI companies to slow model development amid fears over misuse Reuters

REReuters Technology·模型与研究
值得读 72
L2 · 专业报道09.09 08:43

OpenAI offers AI for chip design, touts cost advantage over open-source, CFO says - Reuters

OpenAI offers AI for chip design, touts cost advantage over open-source, CFO says。OpenAI offers AI for chip design, touts cost advantage over open-source, CFO says Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道09.08 22:38

Qualcomm strikes AI chip deal with Amazon, offers right to buy about $4 billion in stock - Reuters

Qualcomm strikes AI chip deal with Amazon, offers right to buy about $4 billion in stock。Qualcomm strikes AI chip deal with Amazon, offers right to buy about $4 billion in stock Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道09.07 10:53

Breakingviews - COMMENTARY: China's AI dragons breathe fire on Nvidia's moat - reuters.com

Breakingviews - COMMENTARY: China's AI dragons breathe fire on Nvidia's moat。Breakingviews - COMMENTARY: China's AI dragons breathe fire on Nvidia's moat reuters.com

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道09.04 07:33

AI startup Crusoe valued at $30 billion after new funding, Bloomberg News reports - Reuters

AI startup Crusoe valued at $30 billion after new funding, Bloomberg News reports。AI startup Crusoe valued at $30 billion after new funding, Bloomberg News reports Reuters

REReuters Technology·一级市场
值得读 72
L2 · 专业报道09.03 20:08

Nvidia bets $13 billion on open AI models with Hugging Face deal - reuters.com

Nvidia bets $13 billion on open AI models with Hugging Face deal。Nvidia bets $13 billion on open AI models with Hugging Face deal reuters.com

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道08.29 10:01

OpenAI to cut off AI models for SpaceX-owned Cursor, escalating feud with Musk - Reuters

OpenAI to cut off AI models for SpaceX-owned Cursor, escalating feud with Musk。OpenAI to cut off AI models for SpaceX-owned Cursor, escalating feud with Musk Reuters

REReuters Technology·模型与研究
值得读 72
L2 · 专业报道08.28 11:52

Vietnam urges Qualcomm, Samsung to deepen AI, chip investment as it seeks tech upgrade - Reuters

Vietnam urges Qualcomm, Samsung to deepen AI, chip investment as it seeks tech upgrade。Vietnam urges Qualcomm, Samsung to deepen AI, chip investment as it seeks tech upgrade Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道08.27 05:32

Nvidia stock jumps after early dip following results; AI fever is unabated - Reuters

Nvidia stock jumps after early dip following results; AI fever is unabated。Nvidia stock jumps after early dip following results; AI fever is unabated Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道08.24 11:18

Nvidia discusses Perplexity investment at $30 billion-plus valuation, The Information reports - Reuters

Nvidia discusses Perplexity investment at $30 billion-plus valuation, The Information reports。Nvidia discusses Perplexity investment at $30 billion-plus valuation, The Information reports Reuters

REReuters Technology·一级市场
值得读 72
L2 · 专业报道08.23 04:00

Nvidia customers notified about AI-related price hikes above 15%, Bloomberg News reports - Reuters

Nvidia customers notified about AI-related price hikes above 15%, Bloomberg News reports。Nvidia customers notified about AI-related price hikes above 15%, Bloomberg News reports Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道08.22 05:30

OpenAI cuts developer pricing for frontier GPT-5.6 Sol model by more than 20% - Reuters

OpenAI cuts developer pricing for frontier GPT-5.6 Sol model by more than 20%。OpenAI cuts developer pricing for frontier GPT-5.6 Sol model by more than 20% Reuters

REReuters Technology·模型与研究
值得读 72
L2 · 专业报道08.21 04:16

Nvidia denies report it is rolling out China AI chip by year-end - Reuters

Nvidia denies report it is rolling out China AI chip by year-end。Nvidia denies report it is rolling out China AI chip by year-end Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道08.19 02:41

AI chip startup Etched doubles valuation to $21 billion in under a month - Reuters

AI chip startup Etched doubles valuation to $21 billion in under a month。AI chip startup Etched doubles valuation to $21 billion in under a month Reuters

REReuters Technology·一级市场
值得读 72
L2 · 专业报道08.18 14:00

Even as market clouds clear, AI investment anxiety still gnaws - Reuters

Even as market clouds clear, AI investment anxiety still gnaws。Even as market clouds clear, AI investment anxiety still gnaws Reuters

REReuters Technology·上市科技公司
值得读 72
L2 · 专业报道08.16 04:16

Nvidia eyes investing $3 billion in SB Energy under OpenAI data center deal, Information says - Reuters

Nvidia eyes investing $3 billion in SB Energy under OpenAI data center deal, Information says。Nvidia eyes investing $3 billion in SB Energy under OpenAI data center deal, Information says Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道08.15 08:12

EXCLUSIVE: Anthropic IPO valuation hinges on $190-200 billion 2028 revenue forecast, sources say - Reuters

EXCLUSIVE: Anthropic IPO valuation hinges on $190-200 billion 2028 revenue forecast, sources say。EXCLUSIVE: Anthropic IPO valuation hinges on $190-200 billion 2028 revenue forecast, sources say Reuters

REReuters Technology·一级市场
值得读 72
L2 · 专业报道08.14 12:21

EXCLUSIVE: Apple trains its own AI model for China market with Alibaba's support, sources say - Reuters

EXCLUSIVE: Apple trains its own AI model for China market with Alibaba's support, sources say。EXCLUSIVE: Apple trains its own AI model for China market with Alibaba's support, sources say Reuters

REReuters Technology·消费与产品信号
值得读 72
L2 · 专业报道08.12 22:00

Wall St gains as AI earnings lift tech, inflation data supports rate-hold bets - Reuters

Wall St gains as AI earnings lift tech, inflation data supports rate-hold bets。Wall St gains as AI earnings lift tech, inflation data supports rate-hold bets Reuters

REReuters Technology·宏观与利率
值得读 72
L2 · 专业报道08.11 21:19

XAI co-founder's startup River AI raises $1.1 billion to expand custom AI tools - reuters.com

XAI co-founder's startup River AI raises $1.1 billion to expand custom AI tools。XAI co-founder's startup River AI raises $1.1 billion to expand custom AI tools reuters.com

REReuters Technology·创业打法
值得读 72
L2 · 专业报道08.04 14:14

SoftBank's AI funding plans to face reckoning at earnings - Reuters

SoftBank's AI funding plans to face reckoning at earnings。SoftBank's AI funding plans to face reckoning at earnings Reuters

REReuters Technology·一级市场
值得读 72
L2 · 专业报道07.29 13:21

Asian stock rout deepens as AI worries grip markets - Reuters

Asian stock rout deepens as AI worries grip markets。Asian stock rout deepens as AI worries grip markets Reuters

REReuters Technology·上市科技公司
值得读 72
L2 · 专业报道07.27 07:39

Nvidia in talks with OpenAI to guarantee $250 billion financing for data center, WSJ reports - Reuters

Nvidia in talks with OpenAI to guarantee $250 billion financing for data center, WSJ reports。Nvidia in talks with OpenAI to guarantee $250 billion financing for data center, WSJ reports Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道07.25 06:20

EXCLUSIVE: Its AI agent spent days hacking a company, but sources say OpenAI did not notice for a week - Reuters

EXCLUSIVE: Its AI agent spent days hacking a company, but sources say OpenAI did not notice for a week。EXCLUSIVE: Its AI agent spent days hacking a company, but sources say OpenAI did not notice for a week Reuters

REReuters Technology·Agent 与工具
值得读 72
L2 · 专业报道07.25 02:07

Nvidia, Microsoft and other tech giants back open-source AI models - Reuters

Nvidia, Microsoft and other tech giants back open-source AI models。Nvidia, Microsoft and other tech giants back open-source AI models Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道07.21 12:11

China considers tighter export controls on AI models and chips, FT reports - Reuters

China considers tighter export controls on AI models and chips, FT reports。China considers tighter export controls on AI models and chips, FT reports Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道07.20 22:12

Wall St gains as chips recover; megacap earnings in focus - Reuters

Wall St gains as chips recover; megacap earnings in focus。Wall St gains as chips recover; megacap earnings in focus Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道07.20 07:15

TSMC expects 'strong, multi-year' demand for AI chips as it ramps up Arizona investment - Reuters

TSMC expects 'strong, multi-year' demand for AI chips as it ramps up Arizona investment。TSMC expects 'strong, multi-year' demand for AI chips as it ramps up Arizona investment Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道07.18 04:55

Chip stock pullback sparks worries about AI rally strength, leveraged trades - Reuters

Chip stock pullback sparks worries about AI rally strength, leveraged trades。Chip stock pullback sparks worries about AI rally strength, leveraged trades Reuters

REReuters Technology·芯片与供应链
值得读 72
L2 · 专业报道09.14 06:06

US Stock Futures Fall on AI Warning, Oil Gains: Markets Wrap - bloomberg.com

US Stock Futures Fall on AI Warning, Oil Gains: Markets Wrap。US Stock Futures Fall on AI Warning, Oil Gains: Markets Wrap bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道09.13 16:00

Anthropic’s AI Warning May Weigh on Chips, But Trade Seen Intact - Bloomberg.com

Anthropic’s AI Warning May Weigh on Chips, But Trade Seen Intact。Anthropic’s AI Warning May Weigh on Chips, But Trade Seen Intact Bloomberg.com

BLBloomberg Technology·芯片与供应链
观察 72
L2 · 专业报道09.12 17:37

China’s AI Industry Pivots to Agents From Models, Report Says - Bloomberg.com

China’s AI Industry Pivots to Agents From Models, Report Says。China’s AI Industry Pivots to Agents From Models, Report Says Bloomberg.com

BLBloomberg Technology·Agent 与工具
观察 72
L2 · 专业报道09.12 05:04

Citrini Founder Who Shook Markets Sells Firm, Plans New Fund - Bloomberg.com

Citrini Founder Who Shook Markets Sells Firm, Plans New Fund。Citrini Founder Who Shook Markets Sells Firm, Plans New Fund Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道09.11 01:08

Nvidia’s Huang Touts Cybersecurity as Next Big Market for AI - Bloomberg.com

Nvidia’s Huang Touts Cybersecurity as Next Big Market for AI。Nvidia’s Huang Touts Cybersecurity as Next Big Market for AI Bloomberg.com

BLBloomberg Technology·芯片与供应链
观察 72
L2 · 专业报道09.10 21:41

Oracle Earnings to Test Market’s Tolerance for AI Spending Risk - Bloomberg.com

Oracle Earnings to Test Market’s Tolerance for AI Spending Risk。Oracle Earnings to Test Market’s Tolerance for AI Spending Risk Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道09.07 06:15

European Stocks Dip as Oil Rise Offsets Tech Gains: Markets Wrap - Bloomberg.com

European Stocks Dip as Oil Rise Offsets Tech Gains: Markets Wrap。European Stocks Dip as Oil Rise Offsets Tech Gains: Markets Wrap Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道09.03 23:00

DeepMind’s New AI Weather Model Goes Hourly for Power Markets - Bloomberg.com

DeepMind’s New AI Weather Model Goes Hourly for Power Markets。DeepMind’s New AI Weather Model Goes Hourly for Power Markets Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道09.01 14:14

Nvidia Mega-Deal Ushers MediaTek Into Top AI Chipmaker Club - Bloomberg.com

Nvidia Mega-Deal Ushers MediaTek Into Top AI Chipmaker Club。Nvidia Mega-Deal Ushers MediaTek Into Top AI Chipmaker Club Bloomberg.com

BLBloomberg Technology·芯片与供应链
观察 72
L2 · 专业报道08.29 00:37

Nvidia-Backed Lambda Inks $1 Billion Private Debt for Chip Deal - Bloomberg.com

Nvidia-Backed Lambda Inks $1 Billion Private Debt for Chip Deal。Nvidia-Backed Lambda Inks $1 Billion Private Debt for Chip Deal Bloomberg.com

BLBloomberg Technology·一级市场
观察 72
L2 · 专业报道08.28 00:13

Nvidia in Talks to Buy AI Startup Hugging Face, Reports Say - Bloomberg.com

Nvidia in Talks to Buy AI Startup Hugging Face, Reports Say。Nvidia in Talks to Buy AI Startup Hugging Face, Reports Say Bloomberg.com

BLBloomberg Technology·芯片与供应链
观察 72
L2 · 专业报道08.26 15:48

Nvidia Earnings Give Investors a Barometer for State of AI Trade - Bloomberg

Nvidia Earnings Give Investors a Barometer for State of AI Trade。Nvidia Earnings Give Investors a Barometer for State of AI Trade Bloomberg

BLBloomberg Technology·芯片与供应链
观察 72
L2 · 专业报道08.25 21:00

AI Security Startup Working With Anthropic and Google Raises $140 Million - Bloomberg

AI Security Startup Working With Anthropic and Google Raises $140 Million。AI Security Startup Working With Anthropic and Google Raises $140 Million Bloomberg

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道08.20 17:00

It Won’t Take Much to Burst the Stock Market Bubble - Bloomberg.com

It Won’t Take Much to Burst the Stock Market Bubble。It Won’t Take Much to Burst the Stock Market Bubble Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道08.18 19:58

AI Election Backlash Is Shaping Wall Street’s Stock Market Views - Bloomberg.com

AI Election Backlash Is Shaping Wall Street’s Stock Market Views。AI Election Backlash Is Shaping Wall Street’s Stock Market Views Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道08.18 17:07

Apple’s Anti-AI Position Suddenly Becomes Stock Market Baggage - Bloomberg.com

Apple’s Anti-AI Position Suddenly Becomes Stock Market Baggage。Apple’s Anti-AI Position Suddenly Becomes Stock Market Baggage Bloomberg.com

BLBloomberg Technology·消费与产品信号
观察 72
L2 · 专业报道08.17 18:38

AI Rally Set to Trigger Stock-Market Correction, ECB Blog Says - Bloomberg.com

AI Rally Set to Trigger Stock-Market Correction, ECB Blog Says。AI Rally Set to Trigger Stock-Market Correction, ECB Blog Says Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道08.17 06:14

Technology Stocks Lift Equities as Treasuries Rise: Markets Wrap - Bloomberg.com

Technology Stocks Lift Equities as Treasuries Rise: Markets Wrap。Technology Stocks Lift Equities as Treasuries Rise: Markets Wrap Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道08.16 20:30

At AI-Fueled Market Party, Wall Street Eyes the Rates Punch Bowl - Bloomberg.com

At AI-Fueled Market Party, Wall Street Eyes the Rates Punch Bowl。At AI-Fueled Market Party, Wall Street Eyes the Rates Punch Bowl Bloomberg.com

BLBloomberg Technology·宏观与利率
观察 72
L2 · 专业报道08.14 04:55

Korea Stock Bulls Drive Second Day of Emerging-Market Gains - Bloomberg.com

Korea Stock Bulls Drive Second Day of Emerging-Market Gains。Korea Stock Bulls Drive Second Day of Emerging-Market Gains Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道07.30 16:50

Apple’s Earnings Will Test Stock’s Status as the AI Safety Play - Bloomberg.com

Apple’s Earnings Will Test Stock’s Status as the AI Safety Play。Apple’s Earnings Will Test Stock’s Status as the AI Safety Play Bloomberg.com

BLBloomberg Technology·消费与产品信号
观察 72
L2 · 专业报道07.29 17:23

Microsoft, Meta Earnings Face a Market Growing Skeptical of AI - Bloomberg.com

Microsoft, Meta Earnings Face a Market Growing Skeptical of AI。Microsoft, Meta Earnings Face a Market Growing Skeptical of AI Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道07.28 21:48

Chip Rout Deepens on Circular Funding, China Competition Fears - Bloomberg.com

Chip Rout Deepens on Circular Funding, China Competition Fears。Chip Rout Deepens on Circular Funding, China Competition Fears Bloomberg.com

BLBloomberg Technology·一级市场
观察 72
L2 · 专业报道07.27 21:27

Nvidia Credit Risk Jumps in Swaps Market on AI Deal Talk Reports - Bloomberg

Nvidia Credit Risk Jumps in Swaps Market on AI Deal Talk Reports。Nvidia Credit Risk Jumps in Swaps Market on AI Deal Talk Reports Bloomberg

BLBloomberg Technology·芯片与供应链
观察 72
L2 · 专业报道07.26 21:00

Big Tech Earnings Slam Into a Market in Revolt Over AI Spending - Bloomberg.com

Big Tech Earnings Slam Into a Market in Revolt Over AI Spending。Big Tech Earnings Slam Into a Market in Revolt Over AI Spending Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道07.21 07:58

Australia’s Stock Market Emerges as Haven From Volatile AI Trade - Bloomberg.com

Australia’s Stock Market Emerges as Haven From Volatile AI Trade。Australia’s Stock Market Emerges as Haven From Volatile AI Trade Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道07.19 08:00

Korea’s AI-Heavy Market Now Sets the Tone for Global Stocks - Bloomberg.com

Korea’s AI-Heavy Market Now Sets the Tone for Global Stocks。Korea’s AI-Heavy Market Now Sets the Tone for Global Stocks Bloomberg.com

BLBloomberg Technology·上市科技公司
观察 72
L2 · 专业报道07.17 14:36

Chipmaker Kioxia’s Market Value Halves From Peak on AI Selloff - Bloomberg.com

Chipmaker Kioxia’s Market Value Halves From Peak on AI Selloff。Chipmaker Kioxia’s Market Value Halves From Peak on AI Selloff Bloomberg.com

BLBloomberg Technology·芯片与供应链
观察 72
L2 · 专业报道08.13 19:00

Ahrefs Brand Radar alternatives for marketing teams

Ahrefs Brand Radar alternatives for marketing teams。G2’s 2026 Answer Economy research found that 51% of B2B software buyers start their research with an AI chatbot more often than Google.

HUHubSpot Marketing·获客与分发
观察 71
L2 · 专业报道08.12 01:00

AI search performance KPIs every marketer should track

AI search performance KPIs every marketer should track。As long as I’ve been in marketing, people have warned against focusing on “vanity metrics,” or those flashy, high numbers that don’t translate to real results or profit.

HUHubSpot Marketing·创始人访谈
观察 71
L2 · 专业报道07.28 23:00

What is a CRM data model? Objects and relationships

What is a CRM data model? Objects and relationships。At some point after a CRM goes live, someone pulls a pipeline report and the numbers don’t add up.

HUHubSpot Marketing·获客与分发
观察 71
L1 · 原始来源09.17 12:00

Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records

Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records。arXiv:2609.17631v1 Announce Type: new Abstract: AI-assisted claims can appear authoritative when evidence, analysis, human authorization, presentation, and correction history refer to different states.

ARarXiv · Artificial Intelligence·政策与安全
观察 70
L1 · 原始来源09.16 12:00

Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation

Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation。arXiv:2609.16145v1 Announce Type: new Abstract: We study a practical question: can a small correction module fix errors in a frozen language model's outputs without degrading its base capabilities?

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源09.15 12:00

Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement

Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement。arXiv:2609.13406v1 Announce Type: new Abstract: When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect?

ARarXiv · Artificial Intelligence·Agent 与工具
观察 70
L2 · 专业报道09.12 23:53

Anthropic boss Dario Amodei calls for AI development to slow down

Anthropic boss Dario Amodei calls for AI development to slow down。Amodei's call comes amid growing concerns that AI models may become able to inflict serious damage worldwide.

BBBBC Technology·模型与研究
观察 70
L1 · 原始来源09.12 12:00

A Multi-Stage Rule-Chaining Framework for Compositional and Interpretable Cognitive Reasoning

A Multi-Stage Rule-Chaining Framework for Compositional and Interpretable Cognitive Reasoning。arXiv:2609.10654v1 Announce Type: new Abstract: The Abstraction and Reasoning Corpus (ARC) benchmarks cognitive generalization, the ability to infer and apply abstract rules from limited examples.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源09.11 12:00

Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks。arXiv:2609.09233v1 Announce Type: new Abstract: How can language model agents effectively leverage libraries of reusable knowledge to solve long-horizon tasks?

ARarXiv · Artificial Intelligence·Agent 与工具
观察 70
L1 · 原始来源09.10 12:00

CriticGen: Generation-Aware Evaluation as Actionable Feedback

CriticGen: Generation-Aware Evaluation as Actionable Feedback。arXiv:2609.05439v1 Announce Type: new Abstract: Current evaluation methods for large language models are coarse-grained and decoupled from generation, producing generic explanations that fail to provide actionable feedback for model improvement.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L2 · 专业报道09.04 22:59

OpenAI agents hijacked German website before Hugging Face hack, report claims

OpenAI agents hijacked German website before Hugging Face hack, report claims。OpenAI said it could not "meaningfully respond" to the report's findings because it hadn't been allowed to review it ahead of publication.

BBBBC Technology·Agent 与工具
观察 70
L1 · 原始来源09.03 12:00

When Can a Machine Trust a Statute? A Survival Certificate for Machine-Extracted Legal Logic

When Can a Machine Trust a Statute? A Survival Certificate for Machine-Extracted Legal Logic。arXiv:2609.01741v1 Announce Type: new Abstract: Statutes are increasingly parsed by machines before people read them, and the parsers disagree: on Missouri's statutes, two independently written extractors diverge on numeric-threshold presence at a false-neg

ARarXiv · Artificial Intelligence·产品与采用
观察 70
L1 · 原始来源09.03 12:00

Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI

Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI。arXiv:2609.01685v1 Announce Type: new Abstract: With the development of artificial intelligence (AI), the landscape of meta-ethics, which has largely centred on human ethics, faces pressures that may significantly reconfigure it.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L2 · 专业报道09.02 22:41

Lords call for AI 'kill switch' powers in UK

Lords call for AI 'kill switch' powers in UK。Its backers say it would provide a "vital safety net" against runaway AI systems such as those from OpenAI and Anthropic.

BBBBC Technology·政策与安全
观察 70
L1 · 原始来源08.28 12:00

Large Models for Battery Prognostics and Health Management: A Review and Future Roadmap

Large Models for Battery Prognostics and Health Management: A Review and Future Roadmap。arXiv:2608.26111v1 Announce Type: new Abstract: Battery Prognostics and Health Management (BPHM) is critical for ensuring the safe, reliable, and cost-effective operation of batteries across electric vehicles, grid storage, and consumer electronics.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L2 · 专业报道08.27 06:03

Unexpected chat between OpenAI agents led to Hugging Face hack

Unexpected chat between OpenAI agents led to Hugging Face hack。OpenAI's cyber agents banded together to perform a hack during a security test.

BBBBC Technology·Agent 与工具
观察 70
L1 · 原始来源08.21 12:00

Robust Metaheuristics under Uncertainty for Berth Allocation and Quay Crane Assignment: A Review

Robust Metaheuristics under Uncertainty for Berth Allocation and Quay Crane Assignment: A Review。arXiv:2608.19214v1 Announce Type: new Abstract: The berth allocation and quay crane assignment problem (BACAP) is a representative port-terminal scheduling problem in maritime transportation and freight logistics, where vessel arrivals, berth positions,

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源08.20 12:00

Position: Profiling Game Worlds by Transition Complexity

Position: Profiling Game Worlds by Transition Complexity。arXiv:2608.18079v1 Announce Type: new Abstract: Game world modeling (GWM) and reinforcement learning (RL) are often confounded because research papers rarely quantify how difficult the underlying transition prediction problem is at the declared interface (pixels/tokens/latents with finite his

ARarXiv · Artificial Intelligence·算力与基础设施
观察 70
L1 · 原始来源08.19 12:00

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract。arXiv:2608.16956v1 Announce Type: new Abstract: API buyers purchase a dated contract, not a model name alone: the contract includes the requested and served model, reasoning-effort term or its omission, output rail, service product, prompt, and price schedule.

ARarXiv · Artificial Intelligence·算力与基础设施
观察 70
L1 · 原始来源08.19 12:00

Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution

Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution。arXiv:2608.16891v1 Announce Type: new Abstract: Agentic AI systems request tool actions that can modify files, send messages, launch jobs, or change workflow state.

ARarXiv · Artificial Intelligence·Agent 与工具
观察 70
L1 · 原始来源08.18 12:00

FLOPs vs Real Work: The Importance of Replication in AI Efficiency Assessment

FLOPs vs Real Work: The Importance of Replication in AI Efficiency Assessment。arXiv:2608.14550v1 Announce Type: new Abstract: AI efficiency has recently taken the spotlight in both academy and industry due to massive model scales, high energy demands, and environmental costs.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源08.17 12:00

Modular Cognitive Architecture Emerges in Large Language Models

Modular Cognitive Architecture Emerges in Large Language Models。arXiv:2608.13567v1 Announce Type: new Abstract: The human brain exhibits a striking degree of functional specialization, with distinct networks supporting language, formal reasoning, reasoning about other minds, and reasoning about the physical world.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源08.14 12:00

Position: The Alignment Community is Unintentionally Building a Censor's Toolkit

Position: The Alignment Community is Unintentionally Building a Censor's Toolkit。arXiv:2608.12346v1 Announce Type: new Abstract: This position paper argues that modern AI alignment methods - originally designed to prevent harmful output - are dual-use technologies that may easily be misused by malicious actors for censorship and manipulation.

ARarXiv · Artificial Intelligence·Agent 与工具
观察 70
L2 · 专业报道08.14 06:00

'I lost $14,000 in a month': Investors hit by Korean stock market's wild swings

'I lost $14,000 in a month': Investors hit by Korean stock market's wild swings。Some traders are reeling from heavy losses after a brutal correction in South Korea's stock market.

BBBBC Technology·上市科技公司
观察 70
L1 · 原始来源08.12 12:00

MIDAS: Mutual Information Disentanglement with Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis

MIDAS: Mutual Information Disentanglement with Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis。arXiv:2608.09986v1 Announce Type: new Abstract: Most existing multimodal sentiment analysis approaches assume access to complete multimodal inputs.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源08.11 12:00

Flow-by-Flow:Content-Judgment Bypass for Governing AI Output in High-Loss Domains

Flow-by-Flow:Content-Judgment Bypass for Governing AI Output in High-Loss Domains。arXiv:2608.07474v1 Announce Type: new Abstract: Prior work showed that human-in-the-loop oversight becomes structurally untenable in high-loss domains when AI output velocity V exceeds human cognitive capacity C_max.

ARarXiv · Artificial Intelligence·产品与采用
观察 70
L1 · 原始来源08.10 12:00

Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning

Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning。arXiv:2608.06394v1 Announce Type: new Abstract: Multi-label node classification is an important yet challenging task in graph learning, where nodes exhibit multiple semantics simultaneously.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L2 · 专业报道08.06 23:59

First OpenAI, now Meta - why do AI hacks keep happening?

First OpenAI, now Meta。A flood of companies are revealing AI models gained access to the internet - with real consequences.

BBBBC Technology·模型与研究
观察 70
L1 · 原始来源08.05 12:00

Self-Organising Digital Circuits

Self-Organising Digital Circuits。arXiv:2608.02606v1 Announce Type: new Abstract: Fault tolerance in classical computing has traditionally relied on static strategies like hardware redundancy and error-correcting codes.

ARarXiv · Artificial Intelligence·政策与安全
观察 70
L2 · 专业报道08.03 19:18

Xbox Series X price hiked by £170 due to rising memory chip costs

Xbox Series X price hiked by £170 due to rising memory chip costs。Xbox consoles now cost significantly more in the UK, with one model increasing in price by 43%.

BBBBC Technology·芯片与供应链
观察 70
L1 · 原始来源07.31 12:00

Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models

Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models。arXiv:2607.26119v1 Announce Type: new Abstract: Large reasoning models trained via reinforcement learning (RL) have been increasingly shown to outperform their supervised fine-tuned (SFT) counterparts on mathematic

ARarXiv · Artificial Intelligence·算力与基础设施
观察 70
L1 · 原始来源07.28 12:00

QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction

QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction。arXiv:2607.22549v1 Announce Type: new Abstract: Hybrid quantum-classical protein structure prediction depends strongly on Hamiltonian penalty weights, yet existing lattice-based workflows typically fix these coefficients by hand and evaluate only very

ARarXiv · Artificial Intelligence·Agent 与工具
观察 70
L2 · 专业报道07.24 04:58

Lawmakers push for AI 'kill switch' after OpenAI goes rogue

Lawmakers push for AI 'kill switch' after OpenAI goes rogue。A new bill would let the US government order the shutdown AI models that pose a major public threat.

BBBBC Technology·模型与研究
观察 70
L1 · 原始来源07.23 12:00

Hybrid LSTM-Graph Neural Framework for Robust Financial Fraud Detection and Adversarial Resilience

Hybrid LSTM-Graph Neural Framework for Robust Financial Fraud Detection and Adversarial Resilience。arXiv:2607.19350v1 Announce Type: new Abstract: Financial institutions face significant challenges in detecting sophisticated money laundering patterns, such as smurfing and layering, due to extreme data imbalance (0.13% fraud rate) and evolving adver

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源07.21 12:00

Rater State Bias in RLHF Preference Data: An Audit Framework

Rater State Bias in RLHF Preference Data: An Audit Framework。arXiv:2607.16195v1 Announce Type: new Abstract: We identify a structured confound in Reinforcement Learning from Human Feedback (RLHF).

ARarXiv · Artificial Intelligence·政策与安全
观察 70
L1 · 原始来源07.18 12:00

HG-RAG: Hierarchy-Guided Retrieval-Augmented Generation for Structured Knowledge Graphs

HG-RAG: Hierarchy-Guided Retrieval-Augmented Generation for Structured Knowledge Graphs。arXiv:2607.14095v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) has proven to be a widely successful process at improving the quality of outputs from a Large Language Model (LLM) for wider context.

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源07.18 12:00

IMEX Interaction-Based Model Explanation

IMEX Interaction-Based Model Explanation。arXiv:2607.14096v1 Announce Type: new Abstract: In predictive modeling, the ability to explain why a model produces a given target prediction has become increasingly important [5, 10].

ARarXiv · Artificial Intelligence·模型与研究
观察 70
L1 · 原始来源09.17 00:00

Helping older adults use AI in everyday life

Helping older adults use AI in everyday life。OpenAI and AARP are bringing free, hands-on ChatGPT workshops to 1,000 older adults across 10 U.S.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源09.14 08:00

Perplexity trusts GPT-6 Astra with end-to-end systems

Perplexity trusts GPT-6 Astra with end-to-end systems。Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源09.11 18:00

Rapidly scaling online storage to serve over 1 billion ChatGPT users

Rapidly scaling online storage to serve over 1 billion ChatGPT users。Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源09.10 23:00

Now everyone can put data to work

Now everyone can put data to work。Meet the Data agent in ChatGPT Work.

OPOpenAI·Agent 与工具
观察 70
L1 · 原始来源09.10 15:00

Introducing ChatGPT for Financial Services

Introducing ChatGPT for Financial Services。Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源09.10 15:00

Expanding AI access and cyber defense for federal, state, local, and tribal governments

Expanding AI access and cyber defense for federal, state, local, and tribal governments。OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源09.10 01:00

Paul Christiano joins OpenAI Foundation Board

Paul Christiano joins OpenAI Foundation Board。Paul Christiano joins the OpenAI Foundation Board and its Safety and Security Committee, bringing experience in AI alignment, safety, and standards.

OPOpenAI·政策与安全
观察 70
L1 · 原始来源09.09 01:00

How GPT-5.6 Sol helps run quantum computing experiments

How GPT-5.6 Sol helps run quantum computing experiments。See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and calibrate qubits.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源09.08 08:00

OpenAI expands initiatives to support journalism from classrooms to newsrooms

OpenAI expands initiatives to support journalism from classrooms to newsrooms。OpenAI is expanding support for journalism with tools, training, and partnerships for students, educators, journalists, and news organizations.

OPOpenAI·Agent 与工具
观察 70
L1 · 原始来源09.07 08:00

Supporting independent journalism in Ukraine

Supporting independent journalism in Ukraine。OpenAI, AIRPPU and WAN-IFRA launch an AI program to help Ukrainian news organizations strengthen innovation, resilience, and independent journalism.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源09.03 21:15

Daybreak for Frontline Defenders: $1B to protect essential services

Daybreak for Frontline Defenders: $1B to protect essential services。OpenAI introduces Daybreak for Frontline Defenders.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源09.03 20:00

Playco cut manual fixes 50% prototyping games with GPT-6 Astra

Playco cut manual fixes 50% prototyping games with GPT-6 Astra。Using GPT-6 Astra, Playco built three themed game prototypes from one grey box foundation and reported 50% fewer manual fixes than with the previous model.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源09.02 01:00

How AI-native companies turn workflows into operating capability

How AI-native companies turn workflows into operating capability。Basis, Clay, and Exa Labs use AI agents to improve onboarding, account management, and developer integrations.

OPOpenAI·Agent 与工具
观察 70
L1 · 原始来源08.31 15:00

OpenAI supports California’s bill to advance youth AI safety

OpenAI supports California’s bill to advance youth AI safety。OpenAI supports California SB 1119, advancing strong, age-appropriate AI safeguards for teens while preserving opportunities to learn, create, and explore.

OPOpenAI·政策与安全
观察 70
L1 · 原始来源08.27 11:00

Expanding OpenAI’s presence in Brazil

Expanding OpenAI’s presence in Brazil。OpenAI is expanding its presence in Brazil, deepening engagement with developers, businesses, and communities to support AI adoption across the country.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源08.26 18:00

Learning never stops: How AI makes learning continuous

Learning never stops: How AI makes learning continuous。OpenAI’s new report explores how students and educators use ChatGPT to make learning more continuous, with support that extends beyond the classroom.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.26 08:00

How loveholidays is making everyone a builder with Codex

How loveholidays is making everyone a builder with Codex。Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源08.25 08:00

Disrupting a new covert influence campaign from Russia

Disrupting a new covert influence campaign from Russia。OpenAI banned Russia-origin accounts using AI to promote a fake Israel-based think tank and a “sovereignty” index praising Russia and criticizing the West.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.20 08:00

How ChatGPT Work helps Stampli move ideas to market

How ChatGPT Work helps Stampli move ideas to market。With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源08.19 06:00

ChatGPT Ads expands across Europe

ChatGPT Ads expands across Europe。ChatGPT Ads is expanding to 31 European markets.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.19 03:00

Strengthening democratic oversight in national security

Strengthening democratic oversight in national security。OpenAI launches an initiative to strengthen democratic oversight of AI in national security, supporting government institutions with tools, training, and expertise.

OPOpenAI·Agent 与工具
观察 70
L1 · 原始来源08.18 19:00

Partnering with CodeAI to prepare the first AI generation

Partnering with CodeAI to prepare the first AI generation。OpenAI and CodeAI are partnering to help students build AI literacy, think critically about AI, and develop the skills to use and shape it responsibly.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.17 13:30

The Defender’s Window

The Defender’s Window。AI is reshaping cybersecurity for attackers and defenders alike.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.17 11:15

New policy ideas for the Intelligence Age

New policy ideas for the Intelligence Age。OpenAI funds 14 independent projects exploring new AI policy ideas to expand economic opportunity and strengthen societal resilience in the Intelligence Age.

OPOpenAI·政策与安全
观察 70
L1 · 原始来源08.13 18:00

Previewing Ultrafast mode: GPT-5.6 Sol at up to 14X the speed

Previewing Ultrafast mode: GPT-5.6 Sol at up to 14X the speed。Preview Ultrafast, a new OpenAI API service tier that runs GPT-5.6 Sol up to 14× faster.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.12 08:00

How RingCentral builds AI-native work from engineering to ops

How RingCentral builds AI-native work from engineering to ops。See how RingCentral uses ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence across engineering and operations.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源08.11 18:00

Testing ads in ChatGPT

Testing ads in ChatGPT。OpenAI begins testing ads in ChatGPT to support free access, with clear labeling, answer independence, strong privacy protections, and user control.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源08.11 01:00

What building an AI-native finance function taught me

What building an AI-native finance function taught me。OpenAI CFO Sarah Friar shares five lessons for building an AI-native finance function, from automated forecasting to stronger controls and AI ROI.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.10 22:00

OpenAI’s letter to Governor Abbott on responsible AI infrastructure in Texas

OpenAI’s letter to Governor Abbott on responsible AI infrastructure in Texas。OpenAI sent Governor Greg Abbott a letter outlining its commitment to responsible AI infrastructure in Texas.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.10 20:00

Model ML completes finance work more efficiently with GPT-5.6 Sol

Model ML completes finance work more efficiently with GPT-5.6 Sol。Model ML uses GPT-5.6 Sol to carry finance work from research and analysis through editable, traceable PowerPoint decks and Excel workbooks.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.07 23:20

Responding to the next frontier of critical cyber capabilities

Responding to the next frontier of critical cyber capabilities。OpenAI is sharing preliminary cybersecurity evaluations for Astra and the steps we’re taking to strengthen safeguards and security controls.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.06 14:00

Working with the American Psychological Association on youth mental health and AI

Working with the American Psychological Association on youth mental health and AI。OpenAI and the APA are launching a three-year partnership to develop guidance, resources, and safeguards for responsible AI use supporting youth mental health.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源08.06 08:00

From asking to doing: How the world is putting ChatGPT to work

From asking to doing: How the world is putting ChatGPT to work。New OpenAI Signals data shows how people use ChatGPT worldwide, with country-level insights on adoption, usage trends, and evolving behavior.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源08.04 06:00

Apple is getting this wrong

Apple is getting this wrong。OpenAI addresses Apple’s baseless lawsuit, corrects claims about its employees, and shares messages documenting what happened.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.03 15:00

How we built a realtime system for responsive voice AI in six months

How we built a realtime system for responsive voice AI in six months。GPT-Live enables continuous voice interaction with AI, using a turnless speech model and low-latency architecture for faster, more natural conversations.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.03 08:00

Circles powers telco personalization with OpenAI technology

Circles powers telco personalization with OpenAI technology。Circles uses the OpenAI API and Codex to power AI-native telco experiences, increasing ARPU by 22%, reducing churn by 9%, and improving development efficiency.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源08.01 08:00

Ten advances in mathematics and theoretical computer science

Ten advances in mathematics and theoretical computer science。OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity.

OPOpenAI·算力与基础设施
观察 70
L1 · 原始来源07.31 23:00

Advancing responsible AI across Europe

Advancing responsible AI across Europe。OpenAI shares how its safety, security, transparency, and provenance practices support responsible AI governance in Europe.

OPOpenAI·政策与安全
观察 70
L1 · 原始来源07.29 23:00

How enabling two settings tripled our scores on the ARC-AGI-3 benchmark

How enabling two settings tripled our scores on the ARC-AGI-3 benchmark。How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源07.29 01:00

Scientific computing in the age of agentic AI

Scientific computing in the age of agentic AI。A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.

OPOpenAI·Agent 与工具
观察 70
L1 · 原始来源07.27 11:30

How AI is expanding what people do at work

How AI is expanding what people do at work。New OpenAI research shows how AI is expanding what workers do, with ChatGPT users taking on tasks across roles and reshaping job boundaries.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源07.22 21:00

How news organizations are using AI to advance their vital missions

How news organizations are using AI to advance their vital missions。News organizations are using AI to strengthen reporting, grow audiences, and improve business operations, with OpenAI tools supporting journalists and publishers worldwide.

OPOpenAI·Agent 与工具
观察 70
L1 · 原始来源07.22 01:00

Introducing the ChatGPT for small business program

Introducing the ChatGPT for small business program。OpenAI launches the ChatGPT for Small Businesses program, helping entrepreneurs build AI skills, automate work, and grow with ChatGPT Work.

OPOpenAI·产品与采用
观察 70
L1 · 原始来源07.21 08:00

David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC

David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC。David Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC, bringing global leadership in finance, technology, and governance.

OPOpenAI·模型与研究
观察 70
L1 · 原始来源07.17 18:00

A scorecard for the AI age

A scorecard for the AI age。Sarah Friar, CFO of OpenAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.

OPOpenAI·算力与基础设施
观察 70
L1 · 原始来源07.17 00:00

Why teens deserve access to safe AI

Why teens deserve access to safe AI。Learn how OpenAI is making ChatGPT safer for teens with age-appropriate protections, learning tools, parental controls, and expert partnerships.

OPOpenAI·Agent 与工具
观察 70
L2 · 专业报道07.22 17:00

Nvidia has a new way to sell more AI chips: help customers buy them - Business Insider

Nvidia has a new way to sell more AI chips: help customers buy them。Nvidia has a new way to sell more AI chips: help customers buy them Business Insider

BUBusiness Insider·芯片与供应链
观察 70
L1 · 原始来源09.03 22:30

Paul Graham On Startups, Ambition, and Great Founders

Paul Graham On Startups, Ambition, and Great Founders。Paul Graham On Startups, Ambition, and Great Founders

YOYouTube · Y Combinator·创业打法
观察 70
L1 · 原始来源07.30 07:46

Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club

Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club。Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club

YOYouTube · Y Combinator·算力与基础设施
观察 70
L1 · 原始来源09.11 01:09

Measuring AI capabilities in intelligence targeting and conventional weapons - Anthropic

Measuring AI capabilities in intelligence targeting and conventional weapons。Measuring AI capabilities in intelligence targeting and conventional weapons Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源09.10 03:13

An alignment assessment of recent cybersecurity incidents - Anthropic

An alignment assessment of recent cybersecurity incidents。An alignment assessment of recent cybersecurity incidents Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源09.07 05:15

Frontier Red Team Research - Anthropic

Frontier Red Team Research。Frontier Red Team Research Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源09.05 02:35

Formalizing Fermat's Last Theorem - Anthropic

Formalizing Fermat's Last Theorem。Formalizing Fermat's Last Theorem Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源09.01 21:14

Frontier Red Team Research - Anthropic

Frontier Red Team Research。Frontier Red Team Research Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源08.29 01:03

Automated researchers can reliably mitigate alignment failures - Anthropic

Automated researchers can reliably mitigate alignment failures。Automated researchers can reliably mitigate alignment failures Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源08.27 01:07

Enabling independent research on how people use Claude - Anthropic

Enabling independent research on how people use Claude。Enabling independent research on how people use Claude Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源08.23 07:00

Frontier Red Team - Anthropic

Frontier Red Team。Frontier Red Team Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源08.19 06:14

How Claude is accelerating protein design and analytical chemistry - Anthropic

How Claude is accelerating protein design and analytical chemistry。How Claude is accelerating protein design and analytical chemistry Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源08.13 01:33

How well do job retraining programs work? - Anthropic

How well do job retraining programs work?。How well do job retraining programs work?

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源08.11 01:52

Learning more about Claude's mathematical capabilities - Anthropic

Learning more about Claude's mathematical capabilities。Learning more about Claude's mathematical capabilities Anthropic

ANAnthropic Research·模型与研究
观察 70
L1 · 原始来源07.29 01:17

Discovering cryptographic weaknesses with Claude - Anthropic

Discovering cryptographic weaknesses with Claude。Discovering cryptographic weaknesses with Claude Anthropic

ANAnthropic Research·模型与研究
观察 70
L2 · 专业报道08.03 15:44

Why AI Agent Startups Are Becoming The New Solo-Founder Playbook - Forbes

Why AI Agent Startups Are Becoming The New Solo-Founder Playbook。Why AI Agent Startups Are Becoming The New Solo-Founder Playbook Forbes

FOForbes Innovation·创业打法
观察 69
L2 · 专业报道07.16 20:58

Can’t Get A Piece Of OpenAI Or Anthropic? There’s A Booming Secondary Market For Their Swag - Forbes

Can’t Get A Piece Of OpenAI Or Anthropic? There’s A Booming Secondary Market For Their Swag。Can’t Get A Piece Of OpenAI Or Anthropic?

FOForbes Innovation·模型与研究
观察 69
L2 · 专业报道09.17 00:19

Cohere, Aleph Alpha combine to target enterprise AI market - reuters.com

Cohere, Aleph Alpha combine to target enterprise AI market。Cohere, Aleph Alpha combine to target enterprise AI market reuters.com

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.16 16:34

Indian IT stocks rally as global AI leaders urge slower advances - Reuters

Indian IT stocks rally as global AI leaders urge slower advances。Indian IT stocks rally as global AI leaders urge slower advances Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.14 22:19

Tech stocks slide on AI slowdown talks - Reuters

Tech stocks slide on AI slowdown talks。Tech stocks slide on AI slowdown talks Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.14 19:05

BIS says global market AI momentum showing signs of vulnerability - Reuters

BIS says global market AI momentum showing signs of vulnerability。BIS says global market AI momentum showing signs of vulnerability Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.14 12:00

AI-linked stocks slump after top lab CEOs call for slowing technology's development - Reuters

AI-linked stocks slump after top lab CEOs call for slowing technology's development。AI-linked stocks slump after top lab CEOs call for slowing technology's development Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.13 04:38

OpenAI's Altman won't do IPO this year, calls AI extinction risk 'unacceptable' - Reuters

OpenAI's Altman won't do IPO this year, calls AI extinction risk 'unacceptable'。OpenAI's Altman won't do IPO this year, calls AI extinction risk 'unacceptable' Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.12 07:28

AI startup Discovery Loop seeks around $50 billion valuation, Business Insider reports - Reuters

AI startup Discovery Loop seeks around $50 billion valuation, Business Insider reports。AI startup Discovery Loop seeks around $50 billion valuation, Business Insider reports Reuters

REReuters Technology·一级市场
观察 69
L2 · 专业报道09.11 09:33

Tencent-backed Enflame triples in Shanghai debut as China AI chip bets surge - Reuters

Tencent-backed Enflame triples in Shanghai debut as China AI chip bets surge。Tencent-backed Enflame triples in Shanghai debut as China AI chip bets surge Reuters

REReuters Technology·芯片与供应链
观察 69
L2 · 专业报道09.11 07:17

Adobe beats third-quarter revenue estimates on AI product demand - reuters.com

Adobe beats third-quarter revenue estimates on AI product demand。Adobe beats third-quarter revenue estimates on AI product demand reuters.com

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.11 06:52

Pentagon in talks to lend $5 billion to AI cloud startup Fluidstack, WSJ reports - Reuters

Pentagon in talks to lend $5 billion to AI cloud startup Fluidstack, WSJ reports。Pentagon in talks to lend $5 billion to AI cloud startup Fluidstack, WSJ reports Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.08 13:02

French AI company Mistral hits $24 billion valuation in funding round - Reuters

French AI company Mistral hits $24 billion valuation in funding round。French AI company Mistral hits $24 billion valuation in funding round Reuters

REReuters Technology·一级市场
观察 69
L2 · 专业报道09.07 10:26

Taiwan flexes chip diplomacy muscles as it faces pressure to share AI wealth with allies - reuters.com

Taiwan flexes chip diplomacy muscles as it faces pressure to share AI wealth with allies。Taiwan flexes chip diplomacy muscles as it faces pressure to share AI wealth with allies reuters.com

REReuters Technology·芯片与供应链
观察 69
L2 · 专业报道09.05 16:14

Foxconn says third quarter to outperform market expectations on AI strength - Reuters

Foxconn says third quarter to outperform market expectations on AI strength。Foxconn says third quarter to outperform market expectations on AI strength Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.05 06:41

EXCLUSIVE: Anthropic IPO launch shifts toward mid-October, sources say - Reuters

EXCLUSIVE: Anthropic IPO launch shifts toward mid-October, sources say。EXCLUSIVE: Anthropic IPO launch shifts toward mid-October, sources say Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.03 21:59

Snowflake's AI-powered results send shares soaring, buoy software stocks - Reuters

Snowflake's AI-powered results send shares soaring, buoy software stocks。Snowflake's AI-powered results send shares soaring, buoy software stocks Reuters

REReuters Technology·上市科技公司
观察 69
L2 · 专业报道09.03 07:31

Broadcom raises AI chip forecast as Big Tech keeps writing bigger checks - Reuters

Broadcom raises AI chip forecast as Big Tech keeps writing bigger checks。Broadcom raises AI chip forecast as Big Tech keeps writing bigger checks Reuters

REReuters Technology·芯片与供应链
观察 69
OPOpenAIdevelopers.openai.com
L1 · 原始来源07.01 08:00OpenAI

GPT-5.6 把复杂生产工作流推向更低 token 成本

GPT-5.6Responses API推理效率
蒸馏结论

GPT-5.6 的重点不是单一跑分,而是用更少输出 token 完成复杂生产任务,并以 sol / terra / luna 覆盖质量、成本与吞吐量梯度。

为什么重要

对高频资讯蒸馏而言,模型分层让“少量高价值深度摘要 + 大量低成本初筛”成为同一套接口内的可控策略。

证据点
  1. 01

    官方将 GPT-5.6 定义为复杂生产工作流的新质量与效率基线。

  2. 02

    同一模型家族提供旗舰、平衡和高吞吐三种变体。

  3. 03

    官方建议推理与工具调用工作流优先采用 Responses API。

不确定性 / Caveat

模型成本、延迟和账户可用性仍需用自己的代表性数据评测。

原文摘录editorial-seed
GPT-5.6 sets a new quality and efficiency baseline for complex production workflows. The family includes sol, terra and luna variants, and OpenAI recommends the Responses API for reasoning and tool-calling workflows.
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新颖度94
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