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Thinking Machines Cofounder Joined OpenAI (4 minute read)

Thinking Machines Cofounder Joined OpenAI (4 minute read)

Thinking Machines co-founder Lilian Weng left the startup after citing health effects from sustained stress and workload, then joined OpenAI. She said the pace required by the startup had become physically unsustainable.
I Tried to Build a Context Layer for My Agent in a Weekend. Reader, I Did Not Build a Context Layer for My Agent in a Weekend.
Jun 12 | Blog

I Tried to Build a Context Layer for My Agent in a Weekend. Reader, I Did Not Build a Context Layer for My Agent in a Weekend.

A "simple" weekend project turns into real infrastructure, and why agent context deserves a boring, reliable foundation.

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Treat prompt changes like code deploys (6 minute read)
Jul 30 | Tech

Treat prompt changes like code deploys (6 minute read)

Prompts are dependencies. Changing them can shift downstream behavior with no warning, no failing build, and no obvious signal in the request pipeline. Treat prompts exactly like any other artifact that can change production behavior. Test them, give them a gate, and default that gate to blocking until proven otherwise.
Contagious Interview malware in SVG images: DPRK campaign (9 minute read)
Jul 30 | Dev

Contagious Interview malware in SVG images: DPRK campaign (9 minute read)

DPRK-aligned actors are handing developers fully-functional “coding challenge” repos, one seeded through Elastic's own community Slack #jobs channel, with the payload split into Base64 chunks hidden in HTML comments across SVG flag images. It is reassembled and executed on every npm run dev or npm start. What lands is a four-module OTTERCOOKIE stack: browser credential and crypto wallet theft, a recursive sweep for .env files, SSH/AWS configs and shell histories, a Socket.IO RAT with live shell access, and a clipboard stealer.
Detection Engineering in the Era of Semantic Malware (14 minute read)
Jul 30 | Infosec

Detection Engineering in the Era of Semantic Malware (14 minute read)

Malware campaigns that target agents via their memory or other configuration present detection engineering challenges as they don't produce classical indicators of compromise. Some classic detection techniques such as File Integrity Monitoring (FIM), privilege auditing, and behavioral baselining can be adapted to agentic threats. Additionally, the agentic landscape also offers some new detection opportunities such as: context window integrity, agent session telemetry, memory file provenance, and cross-session behavioral correlation.

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