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AI agents are becoming more capable, but intelligence alone isn't enough to make them useful. That's why @termix_ai is a project I'm keeping an eye on. The real opportunity in AI isn't simply generating better answers. It's building systems that can turn information into meaningful actions while remaining reliable, transparent, and easy to use. I believe the next stage of AI development will be defined by execution rather than impressive demonstrations. Can an AI system complete tasks consistently? Can users understand its decisions? And can it deliver measurable value without adding unnecessary complexity? These are the questions I would use to evaluate Termix as it develops. My perspective is simple: the strongest AI projects won't be those making the biggest promises. They'll be the ones proving their usefulness through real-world results. Technology creates possibilities. Execution creates trust.

🚨 BREAKING: $1.77 BILLION OF BITCOIN JUST LEFT #BINANCE# IN 24 HOURS. AND NOW INSOLVENCY RUMOURS ARE CIRCULATING!!! 27,764 BTC MOVED OUT OF ONE BINANCE HOT WALLET ALONE. REMEMBER: 17 DAYS AGO BINANCE LOST $6.36 BILLION IN A HACK AND PROMISED TO COVER EVERY DOLLAR. NOBODY ASKED WHERE THAT MONEY WOULD COME FROM. ARE THEY SELLING THEIR OWN BITCOIN TO FILL THE HOLE? AND ARE YOUR LIQUIDATIONS PAYING FOR IT? @grok is Binance dumping Bitcoin, or is this the start of a bank run?

claude fable 5.2 is f*cking insane for video editing i'm in a cafe pouring tea, and my laptop is cutting my next video by itself. the timeline you see filling up on the screen is claude code putting the clips together while my hands are busy with the teapot editing used to eat my evenings. now all the raw footage goes into one folder and i write one message about how the video should feel. fable 5.2 picks the best takes and cuts out the pauses. by the time the tea is gone there's a draft waiting on my phone my setup: 1. drop every raw clip into one folder 2. open claude code in that folder and switch to fable 5.2 3. describe the mood and the length in one message 4. go drink something and check the draft on your phone one person now ships videos like a small studio. the editing runs in the background and my time goes into ideas and filming the exact prompt is in the reply ↓

Built at NEAR HACKATHON: X3 Force Field — a typed .x3 language + compiler for AI-agent spending rules. A NEAR Guard checks signed terms, not model promises. 25 USDC moved Solana→NEAR on mainnet under owner-approved limits. @NEARProtocol #NEARHackathon#

Who decides the answer to a prediction market? Usually the creator. Or an AI on a server nobody can check. So we built Noa Court - an AI resolver for Noa, live on NEAR mainnet. In the video we ask Gemini a vague question: "will the NEAR hackathon get more than 2000 projects?" - It finds the real source (Nearhackathon API) and samples it live: 1,803 right now - Turns the vague question into precise, hashed rules - We review the market and sign with a NEAR wallet - Market #27# goes live on Noa, published with readable rules How it resolves: - One Court contract, one pinned resolver running in an @out_layer TEE - Anyone can trigger it. Nobody can pick the answer - Numbers? Decided by code - Words? 3 NEAR AI judges must all agree and quote the evidence Asked "did a crypto hack make the news?", all 3 judges quoted a headline that never says "hack". It refuses to guess: - Prompt injection - flagged - Dead or changed source - void + refund Works with prices, NEAR tokens (powered by Intear & JustHoot), news feeds, web pages, any JSON API. Plug it into any market, contract or agent. Add the MCP to Claude, ChatGPT, Gemini - any AI that speaks MCP: Code: What would you never let an AI resolve? Built at NEAR HACKATHON @NEARProtocol @NearBuilders #NEARHackathon#

this paper should scare every agent framework out there researchers took apart 11 coding agents straight from the source code claude code codex gemini cli openhands aider and more roughly 4 million lines not one of them imports a langchain style framework not one of them searches code with embeddings 9 out of 11 already ship skill.md then a second paper went further and let a loop write the harness the model stays frozen a debugger agent reads every failed run an evolve agent edits the harness files the next round keeps the edit or rolls it back 10 rounds later a one tool seed went from 69.7% to 77.0% on terminal bench 2 the codex harness people built by hand sits at 71.9% craziest part editing only the system prompt made it worse all the gains came from memory, tools and middleware agent = model + harness the model takes the bow the harness does the work drop claude fable 5.2 in that frozen seat and the loop rewrites everything around it both papers in the reply

Your AI agent can now build, light and render a 3D scene end to end, and the engine it drives is free and open source. 🔥 It's called 67js, by CodePawl. You prompt Claude Code, Codex or Cursor, and the agent works through an MCP server: places objects, sets lights and fog, checks PNG previews, then renders a still or an MP4. It's catching on fast: 633 GitHub stars and about 4,100 npm downloads last week. Setup is one prompt to your agent, or a Claude Code plugin. MIT licensed, needs Node 20.19+ and a local Chrome, and falls back to CPU if you don't have a GPU. Good call on safety: the MCP server accepts no arbitrary code and no remote asset URLs, only scene data and the GLB files you point it at. The catch is it's pre-1.0, ships a new minor version about every week, and a minor can break the API. Great for product shots and explainer clips today, too early to build a pipeline on. 🔗 Link in the first reply 👇

Grok Bot is the only one that stuck ChatGPT Dots: i’ve literally paused mine due to bugs and constant refusals or annoying prompts to approve. Plus no independent app. Claude Duet: was excited, didn’t do much at all, way too early hope probably the sleeper