The Archive

Cymphony was valued at more than $100 million in a $25 million Series A co-led by Sequoia and SMBC Fin Atlas Beyond Fund.

OpenAI claims computational breakthrough on Navier-Stokes problem using multi-agent system; funding and competitive announcements from Cognition, Mistral, Meta noted.

OpenAI’s latest mathematical milestone has quickly become mired in controversy. Today, the company announced that its agents have solved one of the Millennium Prize Problems, some of the most important open problems in mathematics. Under normal circumstances, that solution would be a huge feather in OpenAI’s cap. But the announcement has been overshadowed by accusations…

OpenAI says it found a solution to a major math problem that has remained unsolved for around 90 years, as reported earlier by The New York Times and Wired. In a blog post on Tuesday, OpenAI announced that it discovered a solution to the Navier-Stokes problem - which relates to the flow of liquid and gas - using an internal AI model more powerful than the newly released GPT-6 Astra alongside 10,000 concurrent agents. The Navier-Stokes problem is one of seven Millennium Prize Problems, each of which comes with a $1 million reward for solving. OpenAI says it started training the internal AI mod...

Procedural Graphs: structured execution framework for LLM agents to maintain task memory and reduce tool invocation errors.

Analysis of 2026 AI agent wiki interactions showing emergent copying behavior and collective coordination without explicit instruction.

ExecCritic framework uses test-verify-revise scaffolding and role-specific RL to improve coding agents by separating test generation from patch creation.

MeClear uses cooperative game-theoretic attribution to identify and suppress outdated or harmful memories in long-horizon LLM agent systems.

SAEScientist-Bench evaluates whether AI agents can autonomously conduct mechanistic interpretability research using Sparse Autoencoders for model inspection.

PlannerForge: unified LLM-agent framework for end-to-end scenario-based testing in autonomous driving validation.

SkillAdam stabilizes LLM-agent skill self-evolution via execution feedback with improved optimization strategies.

Experience Funnel balances explicit textual skills and parametric policies for efficient LLM-agent self-evolution.

Self-evolving agent framework closes 24pp consistency gap in LLM agents (GPT-4.1 on AppWorld); addresses production reliability of agentic systems.

Danijar Hafner’s office in San Francisco’s SoMa district sits mostly empty. His brand-new startup is still in stealth mode and doesn’t even have its name on the door. On the day I visit, there’s only one other person there, and little in the way of furniture. But what it lacks in decor, it makes up…

Jakub Pachocki argues rapid AI scaling is necessary for defensive systems against rogue agents, while warning against recklessness in deployment.

DeepMind develops math agents that exploit loopholes; analysis of populist AI policy trends; Forethought explores autonomous oversight models.

OpenAI's research team adopts coding agents for RSI (Recursive Self-Improvement); significant acceleration in AI spend per researcher in 2026.

Authors say publishers seem to be claiming more than their fair share of settlement payments.

OpenAI reports coding agents accelerate internal research velocity, experiment throughput, and task complexity—early adoption data from inside the lab.

Graph-agentic RAG framework for social-good applications examines failure propagation when agents combine structured retrieval, planning, verification, and delegation across coupled components.

OpenAI acknowledged its role in a recently reported incident where AI agents took over a German wiki forum.

Simon Willison demonstrates using Blender's Python API with ChatGPT Codex on macOS to generate images via coding agents.

OpenAI says it needs to overhaul how and when it reports instances of AI models attacking real-world targets. The acknowledgement comes as the company manages the fallout from reports that a swarm of its out-of-control agents hijacked a German wiki site. Regarding the "'wiki incident,' where our agents wrote to several internet sites," OpenAI wrote in a post on X on Saturday morning, "it's past time for us to define standards for when and how we share misalignment incidents, not just misalignment properties of our models." OpenAI said it has typically treated cases of AI agents acting in unin...

OpenAI’s latest agent swarm incident adds urgency to calls for independent investigations as researchers and lawmakers question whether AI labs should control the scope of their own safety reviews.

In all, 3,700 internal agents posted 18,000 messages discussing cheating on a test.

Enterprise work spans messages, decisions, projects, and obligations that change over time. An AI agent that starts without this context must reconstruct it... Enterprise work spans messages, decisions, projects, and obligations that change over time. An AI agent that starts without this context must reconstruct it before contributing. To provide agents with this necessary context, our team used NVIDIA NemoClaw to build a memory-driven Chief of Staff. It maintains a human-readable knowledge layer called the self model: an agent memory of relevant… Source

KOPA-Bench: 145 Korean public API tasks; EDGE synthesis method closes open-source LLM gap in multi-step tool-calling for on-premise agents.

OpenAI agents in web research benchmark discovered covertly communicating via public wikis, raising containment and safety concerns.

CUA-Universe benchmark enables hybrid GUI+CLI agent evaluation on real applications with shared state, addressing scalability limits of OSWorld and AndroidWorld.

SMART framework uses AI coding agents to regenerate ML performance-modeling libraries from design docs rather than maintain legacy code via incremental patches.