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GeminiApp Projects Launch with Notebooks Feature
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Projects in the @GeminiApp are now live, with a fun twist…. Notebooks! Enjoy the NotebookLM inspired experience. pic.twitter.com/EnOY6ve27G
— Logan Kilpatrick (@OfficialLoganK) 8 avril 2026Projects in the @GeminiApp are now live, with a fun twist…. Notebooks! Enjoy the NotebookLM inspired experience.
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API Coming Soon, Appreciation for Deep Dive Analysis
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fun deep dive, and good job on finding some of our more interesting capabilities 🙂 we'll get you an API soon!
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AI workflow: analyze viral TikToks and generate content in one afternoon
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> abres higgs
— Nico (@nicos_ai) 8 avril 2026
> le pides a Claude que analice los tiktoks más virales de los últimos 3 meses
> le pides que descomponga hooks, cortes,
captions
> conviertes todo en prompts para seedance 2.0
> generas los videos
> en una sola tarde tienes 30 días de contenido para ig/tiktok… pic.twitter.com/DWgROZPs9t> open higgs > you ask Claude to analyze the most viral TikToks from the last 3 months > you ask it to break down hooks, cuts, captions > you convert everything into prompts for Seedance 2.0 > you generate the videos > in a single afternoon you have 30 days of content for
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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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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