Gemma 4 E4B was able to search and cite... 10+ websites, execute code to find the best answer! 🔥 You only need 6GB RAM to try this in Unsloth Studio. GitHub repo:show more

Qwen3.5-4B searched 20+ websites, cited its sources, and found... the best answer! 🔥 Try this locally with just 4GB RAM via Unsloth Studio. The 4B model did this by executing tool calls + web search directly during its thinking trace.show more

We built the best codebase search to give any... agent grounded information from GitHub repos. Introducing Sandbox Search. Point it at any repo, and we’ll spin up a secure coding agent in its own sandbox to do research for you. Use inside claude code, openclaw, cursor, and more.show more

GitHub Copilot Chat gets an update with the new... Interactive Code Assistant View in Visual Studio, Quick Chat in Visual Studio Code, and an expanded context window to help provide better suggestions! 🥳show more

returning to deepdream in the times of LLMs here... I am using gemma 4 e4b, starting from a random image and optimizing its pixels to maximise the probability gemma captions them as a fantasy map with mountains, rivers, and castles actual AI art 😅show more

Does GitHub Copilot in Visual Studio Code have full... project context? Yes! Just use @ workspace And with intent detection, Copilot will automatically include @ workspace for you. Available to everyone today with GitHub Copilot Free. Learn more:show more

In tomorrow's VS Visual Studio Code insiders you can... easily F1 to create GitHub Copilot CLI session in editor, to the side, and down below. Let us know how you like it. Pierce Boggan Evan Boyleshow more

We heard you. And we agree. In light of... recent developments in physical media, GitHub is proud to announce that you can now obtain your public repo on CD-ROM. Keep it. Lend it to friends. Pass it on to your children. Your code is physically yours, forever. Until you lose it, let's be real. Order yours today.show more

Stop searching, start asking. 💡 The new GitHub Copilot... search experience is live on GitHub Docs! 🎉 Ask a question, and Copilot will guide you to the solution. ✅ Get answers faster and build sooner. 🚀 Find out more.👇show more

Code LLaMA is now on Perplexity’s LLaMa Chat! Try... asking it to write a function for you, or explain a code snippet: 🔗 This is the fastest way to try AI at Meta’s latest code-specialized LLM. With our model deployment expertise, we are able to provide you with this model less than 24 hours of it’s release. What’s next? We’ll integrate code LLaMA into Perplexity, all in service of providing you with the best answers to your most technical questions!show more

No video model is able to execute these movements,... this kind of speed and action. All the others need to take notes. Kling 3.0 is mind-blowing.show more

Searching for files in large projects has never been... easier 🚀 Check out the real-time search results for the #vscode project, which has thousands of files (and yes, we use Visual Studio Code to write Visual Studio Code). You can easily switch between fuzzy matching and continuous matching too!show more

This is the level of trust you need to... be able to fall in loveshow more

Holy sh*t, this is f**king insane😳 i cancelled my... higgsfield subscription for this a free repo with 7.9K stars dropped a full AI video studio that runs on your pc it runs on 6gb of vram, even old gpus wan 2.2, ltx-2, hunyuan video and flux built in no uploads, no subscriptions, no watermarks here is how you set it up: 1. git clone the repo 2. run the one-click install script 3. launch it and generate in your browser you will not find a FREE way to make AI Videos this year than thisshow more

/1 Gemma 4 31B just crushed Qwen 3.6 27B... in a local LLM gamedev contest inside atomic.chat (prompt is below) Device: MacBook Pro M5 Max, 64GB RAM Results: Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens So what is more important: tokens per second, or the quality of the final answer? Qwen made a very long response and showed more creativity and visual style. But Gemma gave a shorter, clearer, and more logical answer in much less time. In this one-shot Pac-Man gamedev contest, Gemma 4 31B was the clear winner. Its game logic was stronger: click reactions were smoother, and it handled interactions with elements like walls, ghosts, and particle effects better. But this was only one test. Maybe Qwen 3.6 27B can show better results with better settings. Open the comments, try our prompt, and share your result below.show more

The only video I was able to find from... UAE and Pogačar going for today’s record of Coll de Rates… Thanks to rideveloxshow more

First day in studio today for something different to... add to the CV. When I was at school I was so dyslexic that I wasn’t allowed to do French because I couldn’t read or write in English let alone anything else. I left school at 16 - it wasn’t for me! Fast forward to working life and I never pushed for studio work at Sky because I was terrified that I wouldn’t be able to cope with the French content we show on the channel. Turns out you just need the right people around you to help find the workarounds and help get you there. Sky Sports Racing 🙏show more

Go find yourself a wall and get better today... Want to play at the highest level, you better be able to defend. There’s only 30 DH’s in the world, take pride in your defense You don’t need anybody else. Ultimately, it’s your career. How good do you want to be? #PicknPivotshow more

Open source AI is actually moving at an unhinged... pace right now. I literally hadn't even finished typing up my last Gemma 4 12b benchmark notes before Google went ahead and dropped the official Quantization Aware Training (QAT) checkpoints on Hugging Face. If you missed the news, QAT basically bakes the compression directly into the training process. Instead of standard post training quantization degrading the model's reasoning capabilities, QAT trains the model with compression in mind. Unsloth is reporting near original performance at 4-bit with ~72% lower memory footprint. Details in the comments. Naturally, had to instantly pull the new GGUFs to see what a single RTX 4090 card (24 GB VRAM, Cuda 12.8, ubuntu 22) could do. i fired up llama.cpp engine again Look at these numbers: 1. Unsloth Gemma 4 26B-A4B IT (QAT Q4_K_XL) flags: ./build/bin/llama-cli -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf -cnv -ngl 99 -c 250000 -fa on -v VRAM Used: 19.5 GB context: 250,000 tokens decode throughput: 193 tps 2. Unsloth Gemma 4 31B IT (QAT Q4_K_XL) flags: Command: ./build/bin/llama-cli -m gemma-4-31B-it-qat-UD-Q4_K_XL.gguf -cnv -ngl 99 -c 60000 -fa on -v - VRAM Used: 23 GB (Tight, but zero system RAM spillover) - context: 60,000 tokens - decode throughput: 47 tps We are essentially watching hardware bottlenecks evaporate in real time. An update literally drops before you can finish benchmarking the previous one. What a time to be running local hardware. If you have a single rtx 3090, rtx 4090, these are the latest gemma models to try this week.show more

Here's what happen when you try to input any... cheat code from the first Tomb Raider into the second one This was used to troll gamers who wanted the infamous nude codeshow more