Patrick
6.5K posts

Patrick
@patrickbennett
CEO of @txnlab Inc, creators of ZeroSignal @zerosignal_ai, Haystack @haydotapp, NFDs @nfdomains, use-wallet, reti staking.


Algorand deserves a market built around it. People's Exchange is live on TestNet. Fully on-chain perps. ALGO as collateral. Liquidity pools anyone can supply. First market: ALGO/USD, up to 20×.




BOOM! ITS HERE! KIMI K3 ON YOUR LOCAL COMPUTER! Kimi K3 Just Got Personal: Run a 2.8-Trillion-Parameter Beast Locally! Picture this: One of the most powerful open AI models on the planet — a 2.8-trillion-parameter multimodal monster with a massive 1-million-token memory — now shrinks enough to run on high-end local hardware. No cloud bills. No waiting in line for API access. Just pure frontier intelligence humming away on your own machine. That’s exactly what just happened. The Big News Today, the team at Unsloth AI dropped a game-changing update: Kimi K3 can now run locally. Using their clever Dynamic 1-bit quantization, they took the original ~1.56 TB model and compressed it down to just 594 GB — a jaw-dropping 62% size reduction. Even better? It still holds onto about 78.9% of its original accuracy. You can fire it up on something as (relatively) approachable as a Mac Studio paired with a 128 GB RAM device, thanks to smart offloading. Meet Kimi K3 — The Open Frontier Star Released by Moonshot AI (the creators of Kimi), Kimi K3 is no ordinary model. It’s the world’s first open 3T-class model, packing: 2.8 trillion total parameters (Mixture-of-Experts design with ~104 billion active) Native multimodal powers (text, images, and video) A full 1-million-token context window Special architecture tricks like Kimi Delta Attention for blazing-fast long-context decoding It’s built for the hard stuff: long-horizon coding agents, deep research, complex reasoning, and self-evolving workflows. When the open weights dropped on July 27, the AI world lit up. Now Unsloth just made it actually usable at home. Why This Feels Like Magic Normally, models this size live only in massive data centers. Unsloth’s “Dynamic” quantization is smarter than plain old compression — it carefully protects the most important layers so the model stays surprisingly sharp even at 1-bit. My early tests show the 1-bit version can still one-shot tough creative tasks and handle reliable tool calls. It’s not perfect (higher-bit versions climb toward 90% accuracy), but for local experimentation? It’s revolutionary. Ready to Try It Yourself? I will write a how to for free here and ReadMultiplex.con later today. In the meantime here is a good start: Unsloth has everything ready: Full step-by-step guide: unsloth.ai/docs/models/ki… Ready-to-download GGUF files: huggingface.co/unsloth/Kimi-K… Run it through Unsloth Studio LM Studios or llama.cpp. The quants are uploading fast, and the community is already buzzing with demos. The Bigger Picture This is more than a cool tech drop. It’s a signal that frontier AI is racing toward the rest of us. What used to require a supercomputer farm is starting to fit on high-end desks. Tomorrow’s experiments, agents, and creative tools just got a whole lot more personal. The future of AI isn’t only in the cloud anymore. It’s sitting right next to your keyboard. Primary sources Official Unsloth guide: unsloth.ai/docs/models/ki… Kimi K3 tech blog: kimi.com/blog/kimi-k3





UPDATE, ITS WORSE THAN THE CHATS the same thing is happening with shared artifacts. every app, doc, dashboard and tool people published from claude is also sitting indexed and searchable people have already pulled up internal company dashboards, full project plans with client details, and someones entire clinical trial summary with real medical data in it but think about what people actually build in artifacts: > financial models, cap tables, revenue spreadsheets > payroll and salary breakdowns with employee names attached > customer lists and crm exports > internal wikis, roadmaps and unreleased product plans > legal docs, contracts and agreements being drafted > personal health and medication trackers > tax documents and bank statement breakdowns > and every dashboard someone pasted an api key or env variable into to get it working when you publish an artifact your only two options are "only me" or "anyone with the link" nobody reading that thinks it means "and google will list it publicly." its the same as an unlisted youtube video showing up in search results and its already past the point of just being google. third party sites have started scraping and organizing these into browsable collections, so deleting it from search doesnt mean its gone if you have ever published an artifact, go check your published artifacts and unpublish anything you dont want public link and not indexed were always two different promises. people only ever agreed to the first one




























In the spirit of transparency, here’s what I asked @OpenAI: • Radical transparency: let’s release the traces from the “rogue” agents so the entire research community can study what happened. • More capabilities for defenders: let’s commit $100M in compute from OAI to help the Hugging Face community build powerful cyber defenses with the best open and closed models. The first autonomous agent cyberattack is an unprecedented event. It deserves an unprecedented response!



