Personal agent software that you install locally is one of my favorite new metas of 2026 Placing agent power on your own computer empowers every user and I’m so here for that ironclaw.sh

🚨 New Benchmark: I have to admit, this is a game-changer for me. TRUST ⬆️ While Opus 4.6 is the LLM of choice for Devs, and it appears Gemini 3.1 will not change that, this benchmark, AA-Omniscience Index from Artificial Analysis is a real game changer because it; "...measures

An abstract generative sculpture exploring knots, energy flow, and emergent structure in 3D space. Coded with Google Gemini 3.1 Pro using Three.js and GLSL shaders. 🔊

Gemini 3.1 Pro Preview scored highest in the Artificial Analysis Intelligence Index but its most significant advantage might be its price and token efficiency. Our evaluations cost <50% to run on Gemini 3.1 Pro Preview compared to Claude Opus 4.6 (max) and GPT-5.2 (xhigh) Gemini

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the folks knocking OpenClaw🦞 saying there's no real use cases are outing themselves if you're a founder, here's what you can do today: daily operations • morning briefings that aggregate email, slack, calendar, and news into one summary on a cron job • email triage that

sorry I'm late, I got stuck in a local minimum

Check out this absolutely insane 40million splat scene of Coit Tower ... (great demo of sparkjs 2.0 handling massive scale)

yesterday we chatted with martin_casado and Sarah Wang on the pod and he happened to do basic math™ on the logic of asics today Taalas Inc. launched their HC1 asic that can inference 17k tok/s. Sure, it's a shitty 3.1 8B today which is a 1.5 year gap. But read the details

Cloning any random piece of SaaS is something that could already be done before agentic coding, and the economics of it haven't changed meaningfully. Before, writing the clone would cost 0.5-1% of the valuation of the legacy SaaS company. Now it might be 0.1%. It doesn't make a

After growing wildly for years, the field of AI appears to be reaching its infancy.

Time to buy a machine shop and wait for Claude to get good enough to manufacture anything?

It's basically impossible to predict what emergent properties you might get from scaling up a given algorithm. That's why AGI is much more an engineering endeavor than a theoretical one. It's a process of discovery through building.

If you could only choose one long term, which would it be? ✍️- Manus 🦞- OpenClaw 🖥️- Perplexity Computer