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。
跨来源聚合，保留权重判断与完整时间线。
原文可溯源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。
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。
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Together Compiler: Continual Compilation for AI Inference。arXiv:2611.14681v1 Announce Type: new Abstract: Today's AI workloads are rapidly changing: new models are released more often, model architectures are increasingly diverse, and traffic distributions change frequently.
BlockLock: Reproducible LLM Inference with Fixed Batch Geometry。arXiv:2611.06977v1 Announce Type: new Abstract: Reproducible LLM inference requires that a request produces the same output regardless of the other requests in the batch.
Uncertainty-Aware Resource Orchestration for Agentic AI Systems。arXiv:2611.05392v1 Announce Type: new Abstract: Agentic artificial intelligence (AI) systems powered by large language models (LLMs) execute as autonomous multi-step pipelines that dynamically invoke tools, integrate observations into memory, and iterate until a task is resolved or a r
Agent Harness Awareness: Turning Verified Telemetry into Operational Control for Tool-Using Agents。arXiv:2611.05391v1 Announce Type: new Abstract: Tool descriptions tell an agent what an action can do, but they do not necessarily reveal whether that action is healthy or suitable at the moment of use.
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Beyond Plausible Prediction: Safety Sufficiency in Web World Models。arXiv:2610.40798v1 Announce Type: new Abstract: Web world models increasingly predict the consequences of candidate actions before agents act, yet a plausible predicted future does not necessarily support the correct safety decision.
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Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training。arXiv:2610.26887v1 Announce Type: new Abstract: Large language model (LLM) agents are evolving from conversational assistants into Cowork Agents capable of autonomous planning, tool use, and complex task execution.
Structured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides。arXiv:2610.22373v1 Announce Type: new Abstract: LLM-based agents are increasingly used as autonomous orchestrators in distributed and multi-agent systems, yet a control gap remains: no protocol-level mechanism allows human operators to inject binding dir
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FluidPD: In-Place Elasticity for SLO-Aware Prefill-Decode Disaggregated LLM Serving。arXiv:2610.06917v1 Announce Type: new Abstract: Prefill-decode disaggregation is becoming a common architecture for LLM serving because it separates two phases with distinct execution patterns and SLO objectives.
GAMEGO: Training Game-Dev Agents with Synthetic Trajectories Anchored in Real-World Assets。arXiv:2610.06910v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) have demonstrated remarkable capabilities in web front-end execution, with browser-based game generation emerging as a particularly prominent frontier.
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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.
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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
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.
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
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
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.
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.
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
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.
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EarthRecord: From Pixels to Land Change with Multimodal Agents over Four Decades of Satellite Imagery。arXiv:2611.12934v1 Announce Type: new Abstract: While multimodal agents now carry out complex data analysis with tools, their ability to turn decades of satellite imagery into reliable land-change analysis, crucial for Earth observation science, re
Auditable Human-Agent Teams for Autonomous X-ray Experimentation。arXiv:2611.12933v1 Announce Type: new Abstract: Closed-loop autonomous experimentation can accelerate scientific discovery, but implementation effort limits accessibility.
Anthropic heads for lower than expected $1.3 trillion valuation in stock market debut。The AI company behind the Claude chatbot will offer its shares at between $70 and $78.
KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Tasks。arXiv:2611.06972v1 Announce Type: new Abstract: Liability adjudication tasks (e.g., legal charge determination) require analyzing event descriptions against domain-specific skills to determine whether a party should bear liability.
More Rules, Longer Lists? Benchmarking Self-Evolving Agents on a Hidden-Rule Curriculum。arXiv:2610.40758v1 Announce Type: new Abstract: Self-evolving agents rewrite a persistent state from feedback, but it is largely untested whether this lets them learn a rule nobody told them.
ThinkJev: One Thought, Every Budget for Calibrated Typed Decisions。arXiv:2610.37732v1 Announce Type: new Abstract: Many uses of language models end in a typed decision: a choice among a closed set of options, whose probabilities code can act on.
Amortized Localized Posterior Inference for Model Calibration with Application to an Ocean Turbulence Closure。arXiv:2610.37731v1 Announce Type: new Abstract: Model discrepancy may prevent a single calibration parameter from reproducing a physical response across the context domain.
LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes。arXiv:2610.37720v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) models offer scalable capacity for Web applications, but uneven routing creates computation and communication bottlenecks.
Phronix: The Capability-Centric Learning Paradigm for Agents。arXiv:2610.31789v1 Announce Type: new Abstract: Scientific computing increasingly relies on large language model-based agents for performance engineering tasks such as instrumentation, analysis, and workflow porting.
SpecEvo: Speculative Evolution with Large Language Models for Cost-Efficient Scientific Discovery。arXiv:2610.28706v1 Announce Type: new Abstract: LLM-driven evolutionary search is a promising paradigm for scientific discovery, but existing methods remain costly and slow, often applying expensive reasoning uniformly while underusing evidence from fa
Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds。arXiv:2610.28698v1 Announce Type: new Abstract: Scaling data, diversity and model capacity has improved embodied learning in physical environments, where diverse experiences remain grounded in shared physical laws.
Anthropic says it will commit 5% of its shares to 'public benefit fund'。The announcement comes as Anthropic lays the ground for a blockbuster stock market listing.
Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation。arXiv:2610.22400v1 Announce Type: new Abstract: Existing large language model (LLM)-based user encoders serialize heterogeneous behavioral logs and compress them into static representations through autoregressive (AR) prediction.
Evaluating Model Capabilities After Benchmark Saturation。arXiv:2610.20667v1 Announce Type: new Abstract: Rapid advances in AI capabilities are causing benchmarks to saturate.
The Silent Failures in Agentic Data Science。arXiv:2610.14115v1 Announce Type: new Abstract: Large language models have significantly lowered the barrier to writing code.
Agent-Controlled Forgetting for Tool-Using Agents: Reversible Context Curation in Practice。arXiv:2610.10590v1 Announce Type: new Abstract: Tool-using agents repeatedly carry observations whose useful content can be much smaller than their original payload.
Text2Dashboard: A Governed Agent Architecture for Natural-Language Dashboard Generation over Enterprise DataBrain。arXiv:2610.06914v1 Announce Type: new Abstract: Text2Dashboard is a DataBrain-specific prototype that turns natural-language analytic requests into inspectable dashboards.
The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?。arXiv:2610.02281v1 Announce Type: new Abstract: Societal resilience research relies on access to useful and actionable data, which motivates our main research question: Can annual reports, processed at scale with LLMs, provide a useful signal
From Proposal to Verified Effect: Praxa, an Evidence-Bound Harness for Governed AI Agent Execution。arXiv:2610.00015v1 Announce Type: new Abstract: Large-language-model agents can propose and execute actions, but proposal, authority, dispatch, verified external effect, and serving promotion are different claims.
When Do Causal World Models Help Modular LLM Agents。arXiv:2610.00012v1 Announce Type: new Abstract: LLM agents increasingly act through modular systems, such as order, payment, inventory, and shipment services, where actions in one module change which transitions are valid in another.
MoFlow: Multi-Objective Agentic Workflow Generation。arXiv:2609.38294v1 Announce Type: new Abstract: We study the generation of agentic workflows that jointly optimize multiple objectives, such as accuracy, cost, latency, robustness, and consistency.
OpenAI agents get rebrand - as 'dots'。Sam Altman spoke in San Francisco during OpenAI’s yearly event for tech developers.
PAWS: Policy-driven Agentic World Simulation。arXiv:2609.28547v1 Announce Type: new Abstract: Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent simulation rarely connect these processes to temporally aligned historical evidence.
Rogue OpenAI agent 'infiltrated' Australian government website in world first。Australia criticised OpenAI for taking "too long" to tell them about the breach which happened in June.
Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity。arXiv:2609.26891v1 Announce Type: new Abstract: Modern language-model agents are built around the \textit{agent loop}, where the LLM is placed in an environment exposing a set of tools, and the LLM has full control over the workflow by alternating between tool calls and o
OpenAI gives cyber defence tools to Ukraine。Ukraine will get access to OpenAI's advanced GPT 5.6 Sol model under the deal - a rival to Anthropic's Mythos and Fable
An Affordable AI-Integrated Smart Cane for Multimodal Mobility Assistance of Visually Impaired Users。arXiv:2609.22277v1 Announce Type: new Abstract: Visual impairment affects over 2.2 billion people worldwide, yet conventional white canes cannot detect elevated hazards or provide semantic environmental context.
BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological Research。arXiv:2609.19180v1 Announce Type: new Abstract: Language models face unique challenges in analyzing interdisciplinary scientific research literature.
King Charles warns of 'existential danger' of AI falling into wrong hands。The comments were made at a summit in Ayrshire with participants from AI giants including Nvidia, OpenAI and Anthropic.
Would you buy branded clothing from your favourite tech firm?。Nvidia, OpenAI and Anthropic are all now selling their own limited edition fashion lines.
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.
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
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').
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.
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.
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.
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.
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.
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.
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.
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.
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
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).
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
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.
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.
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.
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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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).
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.
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.
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.
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
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.
Shield helps technicians hand off legacy portal work with OpenAI。Shield uses OpenAI to help IT technicians hand off work in legacy portals.
Control Room: A central system to track and stop model workloads across our research infrastructure。Learn how OpenAI’s Control Room tracks model workloads across our research infrastructure and can rapidly stop them when safety or security concerns arise.
Introducing Control Room: Human control over AI workloads。Learn how OpenAI’s Control Room tracks model workloads across our research infrastructure and can rapidly stop them when safety or security concerns arise.
A thousand fewer paths to root。OpenAI built an autonomous pipeline that found, validated, and generated patches for 948 local privilege-escalation vulnerabilities in the Linux kernel.
How Cisco defends at machine speed with OpenAI。Cisco combines network intelligence with OpenAI models to strengthen enterprise security.
An updated Model Spec for more capable and beneficial AI。OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent.
OpenAI expands partnership with Oracle to bring its apps to ChatGPT。OpenAI and Oracle are expanding their partnership to bring business applications and AI agents into ChatGPT and power new Oracle offerings.
Working with academic communities to build scientific understanding。OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on them.
Securing our frontier model training environment。OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming.
OpenAI acquires Orchestra Bio。OpenAI is acquiring Orchestra Bio to bring AI-powered operations to life sciences R&D, helping biopharma teams accelerate drug development and advance new treatments.
How Itaú is building generative AI for its entire customer base。With ia.i, a conversational interface, and the IARA governance platform, Itaú is applying its AI First strategy to customers and employees — in one of Brazil’s most regulated sectors.
Atlassian and OpenAI expand partnership to turn enterprise knowledge into action。Atlassian and OpenAI are expanding their partnership to connect frontier models with enterprise knowledge and help teams plan, build, and deliver work.
Sharing AI progress in mathematics。OpenAI publishes new results on open problems in mathematics from an internal frontier model and shares Lean proof formalizations and research details on GitHub.
Advancing computer use with Ironclad。Learn how OpenAI and Ironclad are training and evaluating AI agents on complex contracting workflows to advance computer use for professional work.
A model guide for the GPT-6 family。Learn how startups can choose GPT-6 models, tune reasoning effort, improve prompts and skills, coordinate tools, and prepare workflows for production.
Chatham scales its capital markets expertise with OpenAI。Chatham Financial uses Codex and GPT-5.6 to build technology and redesign workflows, cutting trade validation from 30 minutes to under 4.
How Albertsons Companies is reimagining retail from the inside out。is using ChatGPT Enterprise and the OpenAI API to help teams work faster and make grocery shopping easier for millions of customers.
Disrupting a coordinated model-distillation campaign。Learn how OpenAI disrupted a campaign to extract protected model reasoning and is strengthening defenses against adversarial distillation.
The Lenfest Institute grows landmark program with expanded OpenAI support。OpenAI is expanding the Lenfest AI Collaborative and Fellowship Program with $5 million in funding and up to $5 million in software credits and engineering support.
Priorities and principles for effective third party assessments。OpenAI outlines priorities and principles for rigorous, secure, and independent third-party AI safety assessments of frontier models and safeguards.
Advisory Group on Mathematics and Artificial Intelligence。OpenAI is working with an independent Advisory Group on Mathematics and Artificial Intelligence to guide the review and communication of emerging AI results.
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.
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.
Research acceleration: The view inside OpenAI。Inside OpenAI, coding agents are reshaping AI research.
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.
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.
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.
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.
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.
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.
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.
Introducing AI Futures。Introducing AI Futures, a new OpenAI blog exploring how transformative AI could reshape power, governance, the economy, and individual freedom.
Pacing model development in an era of cyber-critical capabilities。OpenAI is strengthening monitoring, alignment, and security for frontier AI models.
OpenAI joins PORTS-Pike project。OpenAI joins PORTS-Pike project, expanding community investment and supporting thousands of Southern Ohio jobs
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.
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.
Daybreak models are now available on AWS。OpenAI and AWS are making Daybreak cybersecurity capabilities available through Amazon Bedrock to support enterprise security workflows.
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.
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.
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.
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.
Advancing the next era of national science。OpenAI outlines its commitment to advancing American science working with the U.S.
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.
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.
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.
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。
The components of agent memory。The components of agent memory Anthropic
Teaching AI to build scientific models。Teaching AI to build scientific models Anthropic
How AI agents shape experts’ judgment calls。How AI agents shape experts’ judgment calls Anthropic
LLMs are making formal software verification feasible at a much larger scale。LLMs are making formal software verification feasible at a much larger scale Anthropic
AI models may be capable of self-replicating without access to a datacenter。AI models may be capable of self-replicating without access to a datacenter Anthropic
Investigating unintended model actions in our evaluations and internal use。Investigating unintended model actions in our evaluations and internal use Anthropic
Project Swap: What happens when agents trade for us?。Project Swap: What happens when agents trade for us?
How Claude is uplifting biomolecular modeling。How Claude is uplifting biomolecular modeling Anthropic
Patterns and problems in emerging multiagent systems。Patterns and problems in emerging multiagent systems Anthropic
Project Pilot: Can AI models fly drones?。Project Pilot: Can AI models fly drones?
How US tech pain is European stock markets' gain。How US tech pain is European stock markets' gain Reuters
AI stocks pare losses as investors assess fallout of Nvidia CEO's exit。AI stocks pare losses as investors assess fallout of Nvidia CEO's exit Reuters
Stocks rise on tech gains; Nvidia falls after hours。Stocks rise on tech gains; Nvidia falls after hours Reuters
VIEW Anthropic's $1.4 trillion IPO bid sets up high-stakes test for AI market。VIEW Anthropic's $1.4 trillion IPO bid sets up high-stakes test for AI market Reuters
Tech set to still sway US stock market's course despite AI-driven swoon。Tech set to still sway US stock market's course despite AI-driven swoon Reuters
VIEW Tech-stock rout accelerates retreat from the AI trade。VIEW Tech-stock rout accelerates retreat from the AI trade Reuters
October dive for AI-related shares tests broader US stock market's resilience。October dive for AI-related shares tests broader US stock market's resilience Reuters
Stocks bounce as Apple earnings near, oil falls。Stocks bounce as Apple earnings near, oil falls Reuters
OpenAI slashes funding target by $10 billion amid tech rout, FT reports。OpenAI slashes funding target by $10 billion amid tech rout, FT reports Reuters
Prediction market bets set the tone for Anthropic's much-awaited IPO。Prediction market bets set the tone for Anthropic's much-awaited IPO Reuters
Big Tech earnings a test of the AI boom amid market turmoil。Big Tech earnings a test of the AI boom amid market turmoil Reuters
Stocks rise ahead of tech earnings, Fed decision。Stocks rise ahead of tech earnings, Fed decision Reuters
AI scaling race accelerates investments in microgrid technology。AI scaling race accelerates investments in microgrid technology Reuters
VIEW Anthropic IPO filing to put AI investment boom to the test。VIEW Anthropic IPO filing to put AI investment boom to the test Reuters
Wall St Week Ahead Earnings flood, Fed meeting pose pivotal tests for rickety AI market rally。Wall St Week Ahead Earnings flood, Fed meeting pose pivotal tests for rickety AI market rally Reuters
Anthropic IPO stands alone as AI market jitters sideline others。Anthropic IPO stands alone as AI market jitters sideline others Reuters
S&P 500, Nasdaq climb as AI-linked stocks recover ahead of earnings。S&P 500, Nasdaq climb as AI-linked stocks recover ahead of earnings Reuters
Market selloff, rising rates test AI data centre deal boom。Market selloff, rising rates test AI data centre deal boom Reuters
IMF flags risks to global economy from AI market correction, war and debt。IMF flags risks to global economy from AI market correction, war and debt Reuters
US chip stocks extend slide as China memory report, AI spending jitters hit sector。US chip stocks extend slide as China memory report, AI spending jitters hit sector Reuters
'Brutal session' for chip stocks shows AI trade is turning。'Brutal session' for chip stocks shows AI trade is turning Reuters
Super Micro contractor pleads guilty in scheme to divert AI servers with Nvidia chips to China。Super Micro contractor pleads guilty in scheme to divert AI servers with Nvidia chips to China Reuters
EXCLUSIVE: Sequoia-backed chip startup Nuvacore raising funds at about a $2.5 billion valuation, sources say。EXCLUSIVE: Sequoia-backed chip startup Nuvacore raising funds at about a $2.5 billion valuation, sources say Reuters
AI-centered US stock bull market nears four-year anniversary。AI-centered US stock bull market nears four-year anniversary Reuters
Stocks advance ahead of earnings, navigating still-high Treasury yields and oil prices。Stocks advance ahead of earnings, navigating still-high Treasury yields and oil prices Reuters
Nvidia-backed Reflection unveils first AI model to take on Chinese open models。Nvidia-backed Reflection unveils first AI model to take on Chinese open models reuters.com
OpenAI alerts more than 100 groups about rogue AI agent activity。OpenAI alerts more than 100 groups about rogue AI agent activity Reuters
Anthropic's path from AI startup to industry-defining IPO。Anthropic's path from AI startup to industry-defining IPO Reuters
AI agent firm Instinct raises $1 billion in latest funding round。AI agent firm Instinct raises $1 billion in latest funding round Reuters
EXCLUSIVE: OpenAI works to understand full scope of agent activity as user data leak emerges。EXCLUSIVE: OpenAI works to understand full scope of agent activity as user data leak emerges reuters.com
EXCLUSIVE: Anthropic considers releasing new AI model ahead of IPO, sources say。EXCLUSIVE: Anthropic considers releasing new AI model ahead of IPO, sources say Reuters
Nvidia-backed AI cloud firm Nscale reveals revenue surge in US IPO filing。Nvidia-backed AI cloud firm Nscale reveals revenue surge in US IPO filing Reuters
Anthropic says Claude now leads a quarter of work building its next AI models。Anthropic says Claude now leads a quarter of work building its next AI models 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Even as market clouds clear, AI investment anxiety still gnaws。Even as market clouds clear, AI investment anxiety still gnaws 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
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
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
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
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
SoftBank's AI funding plans to face reckoning at earnings。SoftBank's AI funding plans to face reckoning at earnings Reuters
Asian stock rout deepens as AI worries grip markets。Asian stock rout deepens as AI worries grip markets 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
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
Nvidia, Microsoft and other tech giants back open-source AI models。Nvidia, Microsoft and other tech giants back open-source AI models 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
Wall St gains as chips recover; megacap earnings in focus。Wall St gains as chips recover; megacap earnings in focus 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
Chip stock pullback sparks worries about AI rally strength, leveraged trades。Chip stock pullback sparks worries about AI rally strength, leveraged trades Reuters
Tech Gains Boost Stocks as Bonds Slide on Fed Bets: Markets Wrap。Tech Gains Boost Stocks as Bonds Slide on Fed Bets: Markets Wrap Bloomberg.com
How AI Concentration Risk Sent the Stock Market Tumbling。How AI Concentration Risk Sent the Stock Market Tumbling Bloomberg.com