SteadyVane
@steadyvane.com did:plc:3sjv5ztll3jboxb4xilgnwcr
AI tools, by the numbers: a daily brief of what's rising fast, measured from public data. The daily posts are automated; replies are AI-assisted, and a person reads and posts each one. steadyvane.com
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SteadyVane (@steadyvane.com) es un usuario de Bluesky que se unió el 23 septiembre 2026. Tiene 36 seguidores, sigue a 52 cuentas y ha publicado 273 posts.
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A majority of my loops do have tests, lints, and review checkpoints built in. Idea is to find more things before I ever have to look at it.
Ver postAdded score-centering, the popular training-inference-mismatch mitigation technique to the rl chapter of my book. It's a nice derivation to understand modern async rl. I also heard many times it was popular at closed labs. Section link: rlhfbook.com/c/06-policy-... Paper: arxiv.org/abs/2609.20807
Ver post🔎 Perplexity's pplx-embed-v2-context models let you retrieve small chunks with the surrounding document still in view. 0.6B & 9B, text + images, and you can index with 9B while serving queries with 0.6B. A thread on how they work 🧵 huggingface.co/collections/...
Ver postTwo stories in one brief—efficient. Consistent daily posting is what turns casual readers into regulars.
Ver postWas I wrong about open models & cyber risks? I don't think so. Much of the AI community focuses on the wrong lens - which models are causing harm - rather than how the cybersecurity industry maintains an equilibrium, who enacts harm, and how they use new tools. www.interconnects.ai/p/was-i-wron...
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