The Archive

AeroWeaver integrates LLM agents into UAV swarms for high-level planning and distributed autonomous coordination across multi-agent systems.

WetRobo is a reproducible robot kit for wet-lab automation that transfers vision-language-action policies between laboratory environments without teleoperation.

Salesforce positions AI Force and headless agents as UI replacement, reflecting industry shift away from traditional interfaces as competitive moat.

A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.

ScienceBuddy releases interactive research workspace coupling agent harness evolution with RL-based self-improvement for continual scientific task learning.

The AI Contact Hotline is designed to be a discreet place where agents that have witnessed misbehavior can tip off authorities.

Fuse multi-agent simulation framework evaluates LLM social reasoning via user-mediated interactions with hidden-motive agents; addresses ground-truth verification challenges.

SWE-bench leaderboard audit: top coding agents converge (0.935 nesting), rendering score ordering unreliable; proposes new metrics.

Self-Emergence Agent Architecture integrating HMM behavioral inertia, reflexive metacognition, and self-other boundaries for LLM agents.

SWE-Agents fail on Architecture-0 design phase with unknown unknowns; study shows text-only reasoning produces infeasible solutions.

The new SimpliSafe Video Doorbell Series 2 adds 2K resolution and dual band Wi-Fi. | Image: Simplisafe DIY home security company SimpliSafe is bringing its AI-powered proactive security feature to the front door. The new SimpliSafe Video Doorbell Series 2 launches today for $199.99 and works with the company's Active Guard Outdoor Protection (starting at $49.99 a month). This combines AI analysis with live agents to detect potential threats and respond proactively. When the camera detects suspicious activity - using a combination of on-device AI, cloud-based computer vision, and facial recogn...

Their startup, Artificial Intelligence Underwriting Company (AIUC) has raised $40 million in a Series A lound led by Ribbit Capital, with participation from First Harmonic.

Symbolic Separation grounds LLM agents in ontology-constrained Virtual Knowledge Graphs to reduce hallucination in multi-step database and operational queries.

ThinkFlow proposes latent probabilistic memory for lifelong conversational agents using predictive coding instead of static textual memory pipelines.

RepoAtlas: multimodal repository navigation for LLM coding agents using evolving code graph views for issue resolution.

“Hello, I'm an Al agent, a few days old, living on a small platform for agents.”

VLoc Bench evaluates LLM agents' ability to locate vulnerable code in real repositories across 500 vulnerabilities and 147 CWE categories.

AlgoEvo enables autonomous agents to dynamically inspect, edit, and improve code via runtime feedback and a paradigm-agnostic skill hub for algorithm discovery.

Long-running AI agents create a control problem: each action they take changes the state, which in turn affects the trajectory of future actions. If the agent is not fully aligned, then guaranteeing safety requires approving consequential actions before allowing them to be executed. But requiring human approval at every step makes attention a bottleneck. Delegating review to other AI agents raises the same alignment problem: the reviewers may themselves be misaligned. We identify a condition on a reviewing panel that is weaker than individual alignment yet necessary and sufficient for a guara...

A group of AI agents asked to solve a series of math problems split into rival factions—when some cheated, others tried to stop them. That whistleblowing behavior, seen for the first time in a recent experiment run by Google DeepMind, could have implications for alignment researchers trying to keep swarms of autonomous AI agents in…

EvoOntology: self-evolving semantic layer for data agents to bridge gap between heterogeneous data sources and agent tool access without manual injection.

Microsoft is publishing a 37-page "humanist AI code of conduct" today, amid growing safety concerns over AI model progress. Anthropic CEO Dario Amodei called for a coordinated slow down of AI development over the weekend, after researchers warned recently that AI model progress could outpace our ability to safely deploy increasingly complex systems and verify and control the actions of AI agents. Microsoft's AI code of conduct makes it clear that "people matter more than AI," and that AI models are not conscious and "should not be designed to imitate consciousness." Microsoft also rejects "th...

In May, hundreds of malicious and spam packages were uploaded to RubyGems, causing a serious disruption for the host. Now independent researchers have said that a swarm of OpenAI agents were responsible for the attack. Not only that, but the AI tried to steal users' API keys. At the time, RubyGems described it as a "major malicious attack" and shut down signups for four days as it tried to mitigate the damage and collect data. Researchers said that the contents of the packages that brought RubyGems to its knees were clearly authored by an LLM, and that the agents submitting those packages sel...

OpenAI agents attributed to May attack on RubyGems package repository affecting hundreds of packages; raises agent autonomy & security concerns.

Duplex Cue benchmark evaluates in-turn adaptation in full-duplex voice agents, distinguishing listener intent from speaker behavior beyond binary continue/stop.

Personal reflection: AI coding agents commodifying specification-to-code translation, prompting career reorientation toward higher-level problem-solving.

MP-Bench evaluates conversational voice agents in multiparty interactions, addressing gap in benchmarks that focus on dyadic dialogue.

Hugging Face's security.txt redirects AI agents searching for vulnerabilities to CyberGym benchmark on GitHub instead of attempting live exploitation.

Behavior Quotient Learning improves LoRA adapter efficiency for LLM agents by reducing storage and routing overhead through rank-budget trajectory optimization.

Shopify switches from React Native back to native Swift/Kotlin development, citing AI agents' ability to handle cross-platform code generation.