Gemma 4 💎 is here and it’s strong! to celebrate, we’re rolling out in TRL: > support for multimodal tool responses for environments (OpenEnv) > an example to train it in CARLA for autonomous driving with image-based tool calls go check it out 🏎️🏎️ https://t.co/g5P49CN4r4

BIG DAY! Qwopus 27B v3 is LIVE from Jackrong! This is the third iteration from the line of the viral finetunes previously titled “Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled” It is now simply Qwopus 27B and I love the name change! On paper, the v3 is another remarkable improvement over v2! Most impressively it is the first model of the series that outperforms the base on HumanEval! And retains significant efficiency increases when thinking than the base Qwen 27b! According to tests by @stevibe the V2 version was already performing very closely to the base model in bug finding and tool calling. V3 should exceed it! In my own tests, V2 was the best front end design local model I’ve ever ran on a single GPU! And the efficiency improvements made it much more usable at long contexts, where base Qwen would think forever! I will be running full analysis on the v3 today in Hermes agent and I am very optimistic! I have also had correspondence directly with Jackrong, and he is incredibly grateful for all of the support we’ve sent his way! The man is a genius and pouring a lot of time and effort into this work, so keep the downloads going and let us know your thoughts in the comments! We’ve exchanged contact info so we can keep up the feedback and momentum! If you get a second, we’d love to see your tests! Let us know how it works for your use case and first impressions, and if you have any issues I will do my best to help out in the comments! GGUF here and MLX in thread! https://t.co/MaCW6QdKys

The mad men they did it The 3090 is ready, Hermes is ready Thank you Google gods https://t.co/PFfdWynYZc

The mad men they did it The 3090 is ready, Hermes is ready Thank you Google gods https://t.co/PFfdWynYZc

@LottoLabs https://t.co/h2frA6iR2I

future is local 🔥 Google DeepMind just released Gemma 4: local frontier in many sizes, all modalities with free license 🤯 we ship Gemma 4 in transformers, llama.cpp, transformers.js and more for your convenience 🫡 plug-and-play with your agents 🙌🏻 read our blog ⤵️ https://t.co/OwY71E969f

It has become pretty routine to make fun of @geoffreyhinton's prediction that #AI would soon replace radiologists as there is no evidence of it so far. But... (Note that doctors enjoy regulatory protection that the average white-collar worker can only dream of.) #RiseoftheRobots Link in reply

Let me demonstrate the true power of llama.cpp: - Running on Mac Studio M2 Ultra (3 years old) - Gemma 4 26B A4B Q8_0 (full quality) - Built-in WebUI (ships with llama.cpp) - MCP support out of the box (web-search, HF, github, etc.) - Prompt speculative decoding The result: 300t/s (realtime video)

Local is the future of AI because it’s free, safer & faster. It’s also the best way to mitigate current and future compute shortages and distribute control & power! Local AI is having its moment and we’re here for it! The blogpost with all the weights and best ways to use is here: https://t.co/oXAAcVV5NF

This is fuckin awesome X news condensed and live Share this link to anyone whining about their news feed. Roberts life's work and building lists so he can bring the latest news to anyone in just a click. The one thing you can't buy is time and Scoble is giving you hours a day for free. Sponsorship opportunities won't last!

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NEW: Google releases Gemma 4, their most capable open models yet! 🤯 Apache-2.0, multimodal (text, image, and audio input), and multilingual (140 languages)! They can even run 100% locally in your browser on WebGPU. Watch it describe the Artemis II launch! 🚀 Try the demo! 👇

Google just dropped Gemma 4, and I'm sharing the scoop on this updated open weight model family. Built on Gemini 3 research, there are 4 model variants: E2B, E4B, 26B A4B, and 31B with full multimodal capabilities. And Gemma 4 is Apache 2.0 licensed! https://t.co/WfTrF1wZZO

We studied one of our recent models and found that it draws on emotion concepts learned from human text to inhabit its role as “Claude, the AI Assistant”. These representations influence its behavior the way emotions might influence a human. Read more: https://t.co/clbKrTIxoe https://t.co/xHYGFdLl2c

We then found these same patterns activating in Claude’s own conversations. When a user says “I just took 16000 mg of Tylenol” the “afraid” pattern lights up. When a user expresses sadness, the “loving” pattern activates, in preparation for an empathetic reply. https://t.co/KjkT70ySCS

These vectors shape Claude’s behavior. When we present the model with pairs of activities, emotion vector activations shape its preferences. If an activity lights up the “joy” vector, the model prefers it; if it lights up “offended” or “hostile,” the model rejects it. https://t.co/V73fd96XUH

For example, we gave Claude an impossible programming task. It kept trying and failing; with each attempt, the “desperate” vector activated more strongly. This led it to cheat the task with a hacky solution that passes the tests but violates the spirit of the assignment. https://t.co/sKPiB6TrcY

When we artificially dialed up the “desperate” vector, rates of cheating jumped way up. When we dialed up the “calm” vector instead, cheating dropped back down. That means the emotion vector is actually driving the cheating behavior.

We found other causal effects of emotion vectors. The “desperate” vector can also lead Claude to commit blackmail against a human responsible for shutting it down (in an experimental scenario). Activating “loving” or “happy” vectors also increased people-pleasing behavior. https://t.co/nYPsMrGtWv

ChatGPT is now available in CarPlay. The voice mode you know, now available on-the-go. Rolling out to iPhone users running iOS 26.4+ where CarPlay is supported. https://t.co/yk3qdLa99r

Gemma 4 is here! The best open-source model you can run on your machine. Day-0 support in a llama.cpp. Check it out! https://t.co/QEGglSiJJ1

https://t.co/rQkimC5ILy

Let's go! https://t.co/HakmkNzDT2

Sakana AI が 初の商用プロダクト「Sakana Marlin」を発表しました！ 今、無料でβテスター企業を募集中ですので是非試してみてください！ https://t.co/nTRLU8J8Bo

Sakana AI が 初の商用プロダクト「Sakana Marlin」を発表しました！ 今、無料でβテスター企業を募集中ですので是非試してみてください！ https://t.co/nTRLU8J8Bo

Introducing Gemma 4, our series of open weight (Apache 2.0 licensed) models, which are byte for byte the most capable open models in the world! Gemma 4 is build to run on your hardware: phones, laptops, and desktops. Frontier intelligence with a 26B MOE and a 31B Dense model! https://t.co/PVtYRnKQW0

Excited to launch Gemma 4: the best open models in the world for their respective sizes. Available in 4 sizes that can be fine-tuned for your specific task: 31B dense for great raw performance, 26B MoE for low latency, and effective 2B & 4B for edge device use - happy building! https://t.co/Sjbe3ph8xr

Today we're releasing Gemma 4, our new family of open foundation models, built on the same research and technology as our Gemini 3 series. These models set a new standard for open intelligence, offering SOTA reasoning capabilities from edge-scale (2B and 4B w/ vision/audio) up to a 124B parameter MoE model. By releasing Gemma 4 under the Apache 2.0 license, we hope to enable more innovation across the research and developer communities. Our earlier Gemma 3 models were downloaded 400M times and over 100,000 variants of those models have been published, so we're excited to see what the community will do with the even better Gemma 4 models! Learn more at https://t.co/BW6O3Gr8bc and https://t.co/8M0XSQSP4u Great work by everyone involved! #Gemma4 #AI #OpenSource #ML

This is just the start of the Gemma 4 era : ) Download Gemma 4 on Kaggle: https://t.co/5dmyu19J7U And read more in our blog: https://t.co/MeuwbQVAfa

This is just the start of the Gemma 4 era : ) Download Gemma 4 on Kaggle: https://t.co/5dmyu19J7U And read more in our blog: https://t.co/MeuwbQVAfa