Gemma 4 now runs 2x faster with MTP GGUFs! Run locally on just 6GB RAM. ⚡️
MTP enables Google Gemma 4 run ~1.4–2.2× faster with no accuracy loss.
Gemma 4 12B MTP can run at 162 t/s vs. 52 t/s without MTP. 31B reaches 101 t/s.
GGUFs + Guide: https://t.co/c4gAUlb6YE
This is the most badass thing I've ever created.
A full and complete "words to motion" tool, built from the ground up with #threejs, math, caffiene, math, and probably cost me whatever strength my hairline had left as well :')
This is way more important that what you think.
The future of Android development is agentic and not necessarily tied to Android Studio.
AS tooling will gradually become more accessible from outside the IDE and hopefully one day it is completely detached from it ❤️🔥
We heard you wanted to use Codex rate limit resets on your own time.
Starting today, we’re rolling out the ability to save rate limit resets to use later.
We’re starting Go, Plus, Pro, and Business users with one free reset:
OpenAI just published a new Codex use-case page, and it’s basically a catalog of what teams are already handing over to coding agents: engineering work, product work, QA, security, data analysis, internal tools, and even life-sciences workflows.
Some of the coolest examples:
⬩ Reviewing GitHub PRs and understanding large codebases
⬩ Turning screenshots or visual references into responsive UI
⬩ QA-testing apps by clicking through real user flows
⬩ Refactoring legacy code, running migrations, and fixing vulnerability backlogs
⬩ Drafting PRDs, analyzing datasets, building internal apps, and assisting life-sciences research
This is what coding agents look like when they stop being a demo and start becoming part of daily work.
Google releases Gemma 4 QAT. ✨
You can now run Gemma 4 at 3x less memory with near original performance.
Quantization-Aware Training (QAT) makes it possible to run Gemma 4 26B-A4B on 16GB RAM.
GGUFs: https://t.co/wQgEocxUId
QAT Guide: https://t.co/Nsm1yeGEHx
2-bit Gemma 4 12B GGUF, only 4.66 GB on disk, managed to cite 15 sites from a single prompt.
Try this locally on >6GB RAM via Unsloth Studio.
GitHub: https://t.co/aZWYAtakBP