Hosts: Lenar Kess, Damra Vol. Today’s episode starts with Google’s WebMCP proposal, then follows the same question through open coding models, agent safety papers, China-facing hardware and robotics supply chains, AI mistakes in professional work, and ordinary developer security.Tara Agyemang’s AI Engineer talk on WebMCP gives the day its lead artifact: websites may need to expose actions directly to agents instead of making agents infer intent from pixels and DOMs.Moonshot AI’s Kimi K2.7-Code model page makes token efficiency part of the coding-model comparison, which matters when developers are paying for long agent runs.The agentic framework safety paper argues that common agent frameworks do not provide native structural containment guarantees, and its memory-poisoning experiment shows why framework behavior has to be tested separately from model behavior.The SMSR memory-poisoning paper proposes signed memory plus randomized retrieval as a more formal defense for persistent agent memory.Techmeme’s Nvidia-China item and its humanoid robot supply-chain item keep the infrastructure story grounded in chips, factories, and availability claims rather than model demos alone.Forbes’ court-sanctions story shows AI drafting running into a professional audit boundary, with lawyers removed after hallucinated legal citations appeared in filings.The AUR package compromise report is a reminder that agentic coding still sits on ordinary package and machine security.
