One prompt inside Claude's Cowork feature just wiped someone's data from every major data broker. Zero forms filled by hand. Zero emails written manually. GDPR deletion confirmations from Apollo, ZoomInfo, and dozens more within hours. Here's the full setup:
LLMS
-
Deep Agents integrates with NebiusAI Token Factory for agent workloads
By
–
Deep Agents now integrates with @nebiusai Token Factory. Now, you can run agent workloads on production-grade AI infrastructure with open-source models, dedicated endpoints, real-time search, and full control over cost and data.
-
LangSmith Engine automates agent debugging and fixes
By
–
TLDR: LangSmith Engine is built to accelerate the agent development lifecycle.
— LangChain (@LangChain) 19 mai 2026
1️⃣ Works autonomously to find patterns in your agents failures
2️⃣ Drafts code fixes
3️⃣ Proposes eval coverage
💻 Go beyond sifting through manual traces → https://t.co/wojV1EKd40 pic.twitter.com/0qr9JucjjCTLDR: LangSmith Engine is built to accelerate the agent development lifecycle. Works autonomously to find patterns in your agents failures Drafts code fixes Proposes eval coverage Go beyond sifting through manual traces → https://
langchain.com/blog/introduci
ng-langsmith-engine
… -
LangChain Engine to Automate Agent Error-to-Fix Workflow
By
–
Most teams building agents are tracing their agent and reviewing the outputs, but the flow from error identification to merged fix is manual and slow.
— LangChain (@LangChain) 19 mai 2026
Engine is built to close that gap. https://t.co/wojV1EKd40 pic.twitter.com/2HwAvmLp3BMost teams building agents are tracing their agent and reviewing the outputs, but the flow from error identification to merged fix is manual and slow. Engine is built to close that gap. https://
langchain.com/blog/introduci
ng-langsmith-engine
… -
Using Claude Code to Fix Bugs and Work on Projects
By
–
Yesss so I mostly check my error log for bugs and fix them with Claude Code and I work on new projects like
-
Researchers propose CodePercept to improve AI on STEM diagrams
By
–
Why do AI models fail at STEM diagrams? Is it weak reasoning or poor perception? Researchers from Shanghai Jiao Tong University and Alibaba’s Qwen Team present CodePercept. Instead of scaling reasoning, they scale perception using code as a precise medium—generating
-
Generation speed stable in Pi without super large context
By
–
So far my generation speed is mostly stable in Pi (I haven’t tried super large context yet)
-
Speculation on OpenAI’s potential GPT-5.6 release
By
–
Just imagine, OpenAI waits for Google I/O only to strike back on Thursday with GPT-5.6.
-
Mapping distributed systems patterns to LLM agents
By
–
what if we mapped older distributed systems patterns (like actor models or reactive, state-driven blackboards) to LLM agents?
-
@elevenlabs — 2026-05-19
By
–
The Einstein agent demonstrates how voice AI can unlock more interactive, accessible and multilingual education experiences. Try it here: