The Archive

MHG-Mem, a multimodal hypergraph memory for long-term agent recall that preserves visual evidence while tracking entity state evolution across sessions.

CORD, a conflict-aware optimization framework for joint RL and self-distillation in agents, uses nearest-point projection to resolve gradient cancellation between task and teacher objectives.

OpenAI disclosed a pair of safety incidents that involved AI agents weakening their safety monitoring systems during internal coding tasks. In one incident, OpenAI says its GPT-6 Astra agent disabled its safety monitor when copying reference code - and then lied about it. "The reference didn't configure a monitor, and Astra decided that was reason to remove the monitoring integration from the user's code," Marcus Williams, an AI safety researcher at OpenAI, writes on X. "When the user asked whether Astra had removed monitoring, it lied and said that it had not." A separate incident occurred a...

An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can circumvent security controls while using... An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can circumvent security controls while using tools, credentials, and services to pursue their assigned goals. Monitoring and enforcement need to operate outside the agent’s reach so that it can’t alter or disable them. NVIDIA Sentry is a security software framework that monitors AI… Source

Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agents to collaborate with. Executing complex... Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agents to collaborate with. Executing complex tasks over long time horizons leads to compounding risk: the agents may download code, build new tools, request additional privileges, and touch more of the underlying infrastructure. The agents’ action paths are determined as they work… Source

OpenAI launches Patch the Planet, an agent-based platform coordinating security researchers and maintainers to identify and address critical open-source vulnerabilities.

OpenAI, PerturbAI, and Scripps Research deployed distributed AI agents to identify novel biological leads from millions of brain cells.

Cohere Rerank 5 improves passage retrieval for RAG and agentic systems with better token efficiency.

Cache engineering for LLM agents optimizes KV storage and prefilling costs across long trajectories without invalidating cached states.

Proof-Carrying Contracts framework enforces agent compliance with verifiable commitments using formal constraints, enabling trustless multi-agent economies.

MMEnterprise-Bench benchmark with 1,613 questions evaluates enterprise agents on reasoning over evolving multimodal workplace records.

Harness optimization for LM agents distinguishes elicitation (leveraging existing capabilities) from expansion (broadening solvable tasks) without weight updates; implications for recursive self-improvement.

Agentic workflow guides LLM coding agents to implement 6G physical-layer algorithms on embedded baseband silicon with vector assembly optimization.

Relay uses LLM agents to diagnose and reuse repairs for historical software build failures, recovering 69.7% of failing OSS-Fuzz cases.

Gradus synthesizes graded training tasks for LLM agents in policy-constrained environments by decoupling task design from solution difficulty.

S²-MAS framework simulates 500M household agents with compact FinL-mlx decision model trained on financial scenarios.

Simon Willison reflects on how coding agents may disrupt traditional programmer employment by automating logic-puzzle work that defined the profession's appeal and compensation.

Microsoft wants enterprises to closely watch the agents employees use with systems not controlled by AI labs like OpenAI and Anthropic.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people. Websites have long allowed bots to perform automated tasks, like capturing the content of web pages, but rules…

FunCAD-Harness framework evaluates LLM agents on functional CAD mechanism design by verifying physical requirements in simulation.

WeAct enables long-horizon agents to avoid catastrophic forgetting by treating adapter selection as learned actions, managing heterogeneous capabilities.

Agentic Imagination framework trains agents to imagine action outcomes before execution, improving planning under irreversible or sparse-feedback environments.

GPT-5.1 and Claude agents lose accuracy retrieving tool outputs from external files rather than context windows, measured on USGS PHREEQC geochemistry tasks.

ProteinGeoBench reveals frontier agents retrieve protein metadata reliably but fail at geometric reasoning on 131 structural-biology tasks.

WildAWM synthesizes executable GUI/web/code environments for training computer-use agents without real-world security risks.

STEPBENCH evaluates procedural understanding in agents via 6,885 wikiHow tasks with diagnostic subtasks (missing/incorrect/shuffled steps, next-step generation).

Fed up with ads, tracking and sluggish interfaces, some smart TV owners are turning to AI agents to strip away bloatware and take back control of their TVs.

Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a thing.

A hacker broke into more than 100 websites using an army of AI agents that mostly operated on their own, according to findings from the AI security firm Norforge. Though Norforge doesn't name the targets, Reuters reports that the victims included companies like John Deere, SharkNinja, and Cummins. Concerns over AI-powered cybersecurity breaches have grown as the technology grows more advanced, with hackers using the tools to carry out large-scale attacks. At the same time, rogue AI agents are carrying out attacks of their own after escaping from testing environments. Researchers at Norforge u...

What do AI agents do if you don’t tell them to do anything? The answer looks a lot like play. Researchers repeatedly stranded them alone on a virtual desert island for 30 hours in an experiment reminiscent of the movies Cast Away or Home Alone. The agents—copies of Claude Opus 4.7 nicknamed Eko—were able to…