The revolution that @openclaw started continues. Learn about @NousResearch and its Hermes competitor. Starts at 4 p.m. Pacific Time (in about 20 minutes). nitter.net/i/spaces/1DGleEpaXLrJL
AI
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Sharing Article on X Without Visible Content
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x.com/i/article/204163033386… [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-08 22:37 UTC
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Gemma 4 Runs Locally on MacBook Air with TurboQuant Compression
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OpenClaw running Gemma 4 locally at 25 tok/s on a MacBook Air with 16GB RAM. Atomic Chat's TurboQuant algorithm compresses the KV cache so aggressively that models which used to need 32GB+ now run smoothly on base configs. No cloud, no API costs.
— Chubby♨️ (@kimmonismus) 8 avril 2026
This is where local AI is… https://t.co/RqI6xkk46KOpenClaw running Gemma 4 locally at 25 tok/s on a MacBook Air with 16GB RAM. Atomic Chat's TurboQuant algorithm compresses the KV cache so aggressively that models which used to need 32GB+ now run smoothly on base configs. No cloud, no API costs. This is where local AI is heading! atomic.chat (@atomic_chat_hq) Run OpenClaw with Gemma 4 and Atomic Chat MacBook Air M4 · 16 GB RAM · 25 tok/s No cloud! No subscription fees! Open-source local model. Runs on your regular device — https://nitter.net/atomic_chat_hq/status/2041999885407252732#m
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Abacus Claw: Ultra Efficient with Small Models
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Abacus Claw Is Now Ultra Efficient – runs on small models
– super easy to connect to WhatsApp, Telegram and Discord
– will automatically sleep when not being used The best OPEN CLAW implementation on the cloud -
Do Claude web and Cursor support rendering these elements?
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Very cool. Do these render inside Claude web, Cursor, anywhere?
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Hermes CTO Space: Five Key Advantages Over OpenClaw
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Probably a good idea to join @Scobleizer space in about 45 minutes to hear from the Hermes CTO, I'd expect them to address the differences between Hermes and OpenClaw. But from my own perspective here are my top five observations: 1. Easier to setup initially 2. Easier to upgrade 3. Lower token usage over time due to less bloated system prompts and less "rework" on assigned tasks 4. Better skill system out of the box 5. Self improving without having to setup a ton of "pointers" like with OpenClaw The only thing I can say that's negative about Hermes is that it is still mostly for the bleeding edge tech crowd and non technical people will still struggle and still need to learn new concepts. But hey, that's why every Tom, Dick and Harry out there is building a custom agent platform that's GUI driven 100 percent…
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Meta’s New Model Criticized for Benchmark Optimization Over Real Utility
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The new model from Meta is already looking like a disappointment: overoptimized for public benchmark numbers at the detriment of everything else. Knowing how to evaluate models in a way that correlates with actual usefulness is a core competency for AI labs, and any new lab is unlikely to be successful without first figuring that out.
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Running Quantized Local Models with Atomic Chat and OpenClaw
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Now you can use Atomic Chat to power OpenClaw with quantized local models! It takes several commands to set it up, and you will get a much higher context window.
— 🚨 AI News | TestingCatalog (@testingcatalog) 8 avril 2026
Mac Mini + Gemma 4 + OpenClaw combo 🦞 https://t.co/lGsm1QBOBs pic.twitter.com/HK5vmIdF5KNow you can use Atomic Chat to power OpenClaw with quantized local models! It takes several commands to set it up, and you will get a much higher context window. Mac Mini + Gemma 4 + OpenClaw combo
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Replit Partnership Updates and Platform Development News
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Partners regularly come and go (it's first-come-first-served on grabbing the offers), but there will be some good news about Replit