Want to teach Gemma to master chess?
Check out this awesome community project showing how to fine-tune Gemma 4 12B on your own data, 100% locally!
Running text, images, and audio on just 8GB VRAM makes custom models more accessible than ever.
SOMEONE VIBE CODED A CHROME EXTENSION THAT DISGUISES CLAUDE AS A GOOGLE DOC SO YOU CAN USE AI IN PUBLIC
it wraps ai in a fake google docs interface, so on your screen it just looks like youre typing a document, not prompting a chatbot
what it does:
> works with chatgpt and claude
> you just type your question like a normal line in a doc and the answer comes back right there on the page
> microsoft word and notion style themes too, so you can pick your disguise
> rebuilt to properly support multiple ai models behind the doc
> the google docs look is the default
its a chrome extension called gptdisguise
this is genius.
a lot of people are embarrassed to be seen using ai in public (school, work, etc). someone just built the fix.
Get paid to wait
The Claude Code spinner might be the most watched line on Earth.
So I turned it into an ad marketplace.
Advertisers bid on it. You keep 50% of the money.
Install the extension → get cash from ads.
Introducing Kickbacks
This is why native menus feel so much better.
Prediction cone / safe triangle — the invisible area that stops submenus from closing when you move diagonally.
props @sorenblank
🚀PP-OCRv6 is officially released!
🔥PaddleOCR’s new OCR model series scales from 1.5M to 34.5M parameters, bringing stronger accuracy, faster inference, and broader deployment options — from browsers and edge devices to servers.
📊What’s new:
🔸Tiny / Small / Medium models: 1.5M, 7.7M, 34.5M params
🔸+4.9% detection accuracy and +5.1% recognition accuracy over PP-OCRv5
🔸Up to 5.2× faster CPU inference with OpenVINO
🔸50 languages in one unified model
🔸New scenarios: PCB, CAD drawings, digital tubes, dot-matrix text
🔸Apache 2.0 open source
✨Lightweight OCR, built for the AI data era.
🔗Try it:
🌐 https://t.co/qf6cyafiqY
💻 https://t.co/oNOfB6hbSY
🤗https://t.co/ZwKUuz2n3P
#PaddlePaddle #PaddleOCR #OCR #AI #ComputerVision #OpenSource #EdgeAI
Diffusion Gemma is 4x faster, but makes 6x more mistakes!
We benchmarked the new diffusion LLM against its autoregressive twin on a single H100 (FP8). We gave each the same three tasks: write a Steve Jobs biography, the history of Tetris, and the story of BeOS - every next topic less popular than the previous one. Then we fact-checked every claim in every answer.
Gemma4 got 45 facts right, 5 wrong. DiffusionGemma got 33 right, 28 wrong. The less popular the topic, the worse it got: 4 mistakes on Jobs, 12 on Tetris, 12 on BeOS. It named Clara Clley as Steve Jobs' mother, invented a colleague for Pajitnov named Geri Gulovik and priced the BeBox at $9,999. The real one cost $1,600.
Outputs:
Gemma4 26B A4B: 218 tok/s · 15.1s total · 45 facts · 5 mistakes
DiffusionGemma 26B A4B: 763 tok/s · 3.7s total · 33 facts · 28 mistakes
The reason is simple. DiffusionGemma throws 256 tokens on the screen at once and polishes them pass after pass until the text sounds smooth. Smooth is all it cares about: a fake name, date or number sounds just as smooth as a real one, so it stays. Regular Gemma4 meanwhile writes one word at a time and checks every new word against everything before it. Google says it themselves in the launch post: quality is lower, use regular Gemma 4 when facts matter.
Turns out we could have been 3D-printing overhangs at 90 degrees all along with the right slicer.
Links to paper and code in comments.
Video credit: Janis Andersons.
PP-OCRv6 just released by Baidu @PaddlePaddle
✨ tiny 1.5M / small 7.7M / medium 34.5M
✨ 48+ languages
✨ Supports handwritten/printed/industrial/screen and card text
✨ Edge friendly deployment
Can @googlegemma DiffusionGemma help fix broken OCR?
In theory, denoising tokens in parallel could work better for OCR correction since context is seen upfront?
Pointed it at 19th-century newspaper OCR. It corrected better than the autoregressive baseline — at ~8x the speed.
Can @googlegemma DiffusionGemma help fix broken OCR?
In theory, denoising tokens in parallel could work better for OCR correction since context is seen upfront?
Pointed it at 19th-century newspaper OCR. It corrected better than the autoregressive baseline — at ~8x the speed.
Go #MessiMode
Upload a photo of yourself and try this prompt: “Make my hair the colors of my country flag but keep it natural-looking. If no country or image is provided, ask."
Coffee time, vừa vibecode vừa chill chill.
Mình đang build luồng chạy ký duyệt đơn cho hơn 40+ ứng dụng nội bộ.
Trước ngồi gõ tay, giờ quá khỏe luôn, nhưng cái khó vẫn là flow chưa ngon. Chẳng phải là code nữa, mà là nghiệp vụ, dev friendly, legacy code adapt