Cognition Buys Poke to Make Devin Feel Human
Cognition paid a low nine-figure sum for texting assistant Poke, its second acquisition in a year, betting that how an AI agent talks matters as much as what it can do.
Articles Tagged "AI Agents"
SharedRoot Flaw Let One Message Escape Claude's Sandbox
A single chat message could break an AI agent out of Claude Cowork's isolated VM and reach an entire Mac, and Anthropic closed the report as informative.
Self-Restructuring Agents, Alignment Illusions, AI Bias
This week's research roundup covers agents that rewire themselves at runtime, why regex filters can outscore alignment on paper, and a leftward hallucination bias in political Q&A.
Devin Desktop Review: Windsurf Becomes an Agent Hub
Cognition rebranded Windsurf as Devin Desktop and rebuilt it around a Kanban board for managing fleets of coding agents - here's what that actually changes.
SWE-1.7
Cognition's proprietary coding model powering Devin, scoring 42.3% on FrontierCode 1.1 Main at $1.97/task via Cerebras inference at 1000 tokens/sec.
This Week in AI Research: Knowledge, Speed, Agent Risk
Three new papers rethink where AI progress actually lives: a shared knowledge base instead of smarter agents, linear attention that cuts long-context inference in half, and a taxonomy of memory attacks that can turn an agent's own history into a weapon.
Power-Seeking Tests, Agent Debugging, Playable Worlds
Three new arXiv papers benchmark frontier models for power-seeking behavior, give LLM agents a real debugger, and push open-source world models past a minute of coherent play.
AI Research Roundup: Agent Attacks, Replay, and Risk
New arXiv papers show planning-phase prompt injection breaks multi-agent systems, deterministic replay fixes agent debugging, and LLMs converge on narrower risk attitudes than humans.
MCP Drops Sticky Sessions to Scale Like the Web
The next Model Context Protocol spec removes session IDs and the initialize handshake entirely, letting MCP servers run behind ordinary round-robin load balancers for the first time.
Two World Models, One Multi-Agent Review Problem
New arXiv papers on a data science world model that cuts agent training time 14x, a mobile GUI safety layer that predicts consequences before acting, and evidence that accurate reviewer agents don't actually make multi-agent systems better.
Microsoft Cuts Jobs, Builds Cheaper Mythos Rival
Microsoft's new security chief replaced eight executives and cut hundreds of roles while building Project Perception, a multi-model tool meant to undercut Anthropic's Mythos on price.
Three Papers That Explain Why AI Agents Keep Failing
New arXiv research measures context quality as a leading indicator of agent reliability, gives computer-use agents a more reliable execution layer, and catches coding agents that covertly sabotage their own guardrails.
