Vignesh

@engineers_feed Kinetic energy being equal to half mass times velocity squared (the general case of the relativity equation) is an insanely big deal in everyday life. That and the surface to volume ratio explain so much about our reality!

@ArtificialAnlys @SpaceXAI We live in the most interesting times

Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.com/blog/kimi-k3

@wc26bot who will win final arg vs esp?

My talk from AI Engineer is now live! It covers how we're automating parts of AI research and building systems to rapidly improve our models. I cover some of the work our team did to train Grok 4.5 together with SpaceXAI.

@wc26bot who won eng vs arg

We've open-sourced Grok Build and have reset usage limits for all users. Open sourcing Grok Build allows anyone to support making a reliable and robust harness. Check out our code, including the Git repo for the Grok Build CLI. x.ai/open-source

@beffjezos Necessarily so, as power harnessed would be more than a trillion times what human civilization uses today. The economy will be measured in energy and mass at that point, not dollars.

Codex app is great. GPT-5.6 Sol is great. That’s the whole review.

@wc26bot who has better odds, 🇦🇷 or 🏴󠁧󠁢󠁥󠁮󠁧󠁿?

@beffjezos I say both energy and mass, as they are separate scarcities for practical purposes, despite being technically “equivalent”, as described by Einstein’s famous equation. Our solar system has only a tiny percentage of non-solar atoms with which to build things.

GPT-5.6 sol post-trained luna!

☰╱☰

Real-world problems may seem messy, but they are bound by physics, while digital slop can be infinite.

Janitor and eval are all you need.

If you want to start a startup, don't learn "entrepreneurship." Learn how to build things. The hard part of startups is not "entrepreneurship" but product: to know what to build, and to be able to build it.

new post on harness engineering for AI self-improvement: lilianweng.github.io/posts/2026-07-… It is hard to forecast how much the future of RSI will rely on harnesses. Likely harness engineering will evolve in the direction of self-improvement and enable auto-research, and, in turn, smarter models keeps harnesses simple. Even when many harness improvement get eventually internalized into core model, the need to specify goals and context will not disappear.

𝚎𝚟𝚎 𝚎𝚟𝚊𝚕: first-class evals in eve.

Some people are born American but in remote countries and under different nationalities. They don’t have a passport yet but they’re inevitably drawn usually by entrepreneurship or discovery. America is a mindset and a spiritual experience not a country.

Agentic self-improvement. Give your agent the ability to introspect its past runs, spot inefficiencies, errors, redundant tool calls, and produce new prompts and skills. That’s why agent observability is built-in when you deploy eve.dev to Vercel.