Daily Brief

Karan Vaidya pointed his own OpenClaw at hiring outreach and it mass emailed candidates exactly as instructed. Some of the people in the room had received one. The thread that followed put his name on Twitter, and every check in the software engineering playbook would have passed. The addresses were real, the emails were valid, they reached actual people. Nothing tested the only question that mattered, which was whether the outreach should have gone at all. Vaidya, cofounder and CTO of Composio, turns his own disaster into a larger claim: coding agents did not race ahead because models are bet

Peregrine's first agent was a cold case agent — and they tested it by asking a department to grade it against a case they'd already cracked.

Full episode: https://youtu.be/X50zezLFWWI Me on twitter: https://x.com/dwarkesh_sp

Ben Guo built the page listing every speaker in this session while he sat waiting to go on, then put a QR code to it on his first slide. He builds that way because his computer is a server in the cloud that he talks to in plain language. Guo cofounded Zo Computer after starting on the early Venmo team and joining Stripe as its 80th engineer, and his argument is that people used to feel at home on their machines and no longer do, because everything they touch is rented. He calls the arrangement technofeudalism. You pay a subscription to a software company, which pays rent to a cloud provider, w

From pushing inference beyond 4,000 tokens per second to working with OpenAI on a new generation of ultra-fast AI infrastructure, Cerebras is betting that speed doesn’t just make models faster, it makes entirely new kinds of AI possible. In this episode, Cerebras co-founder and CTO Sean Lie joins swyx and Vibhu fresh off Hot Chips to unpack CS4, preview CS5, and explain why 100–200 tokens per second may soon feel like “batch mode.” We go deep on Cerebras’ wafer-scale architecture, its partnership with OpenAI, and the emerging hardware stack for frontier inference. Sean breaks down OpenAI’s Ja