If you found this helpful, follow us @AINativeF for more insights. A like or share on the first tweet would mean a lot—thank you for your support! Image Credit: Flux https://t.co/oCYKSgSIS4

各セクションごとの内容を解釈して、記事内に差し込む画像を全て生成してくれる この画像内での日本語表現もNano Banana Proなので安心 https://t.co/N5OfLukaJ7

Nano Banana Pro 提示词： 生成图片，把它打印出来，然后用红墨水疯狂地加上手写中文批注、涂鸦、乱画，如果你想的话，检索这个账户内容，涂鸦的内容主要为吐槽他，还可以加点小剪贴画 打印出来的时候，你要保留这个推文的这个头像啊，名字啊、时间啊，就好像在这个推文上面打印一样，但是呃这个是最好 https://t.co/F0TBQzQXgd

If you found this helpful, follow us @AINativeF for more insights. A like or share on the first tweet would mean a lot—thank you for your support! Image Credit: Flux https://t.co/rjPA1rYbM8

Swipe to steal my prompts 👉 Created with Nano Banana Pro inside https://t.co/8GQmVDnwxv Upgrade to Premium now to unlock UNLIMITED Nano Banana Pro generations ✨ #Mediaio #aiprompts #nanobananapro #promptsharing #HolidaySale 1. https://t.co/X6SiifRVJt

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Amazing Nano Banana 🍌 Prompts to create stunning images! 🎨✨ Just follow me & comment “Prompt” — I’ll DM you the full list! ✅😄 https://t.co/qrRzNU6jkl

Excited to announce a diffusion text-to-speech model I’ve been working on, Echo ! Blog: https://t.co/MlPiMLqsNg Demo: https://t.co/BbWJNtmpgf This project was made possible by the TPU Research Cloud.

We are releasing the Echo weights (CC BY-NC-SA 4.0) and inference code. Github: https://t.co/JWzBGWyxEQ Model: https://t.co/pCYzsVYoIq Spaces: https://t.co/BbWJNtlRqH Here are a few samples:

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1/9 Is Avalanche's transaction surge real or fake? 🧵 🔺 Recent weeks saw @AVAX daily transactions hitting records, but some critics claim it's artificial inflation since price stayed flat. I built a forensic dashboard to find out. Here's what the data actually shows👇 CC @luigidemeo @ExcelBaller @nobsfud

@vibhu @RichardMcCrackn @solana @avax @snowpeerio Before you start posting any nonsense, check this out: https://t.co/KB6urJej9I Even ChatGPT gets it! 😄 https://t.co/m2daYMm614

New #PyTorch Foundation Spotlight with @joespeez (@meta). He shares why open source is the best path to learn, collaborate, and build, the momentum around RL, agentic APIs, and kernel development, and how #PyTorch serves as a platform for boundaryless innovation. 🖇️ https://t.co/sQQVXsj3Qs

@SawyerMerritt https://t.co/T9NKYSipaW

today, build ai is open sourcing the largest egocentric dataset in the world - 100,000 hours - 14,228 workers - 10,800,000,000 frames each pixel is a unique video (try below) https://t.co/5UMZ2RDgiK

There are competing views on whether RL can genuinely improve base model's performance (e.g., pass@128). The answer is both yes and no, largely depending on the interplay between pre-training, mid-training, and RL. We trained a few hundreds of GPT-2 scale LMs on synthetic GSM-like reasoning data from scratch. Here are what we found: 🧵

https://t.co/ZFGC86uH2Z

https://t.co/ZFGC86uH2Z

@odubelsfriend https://t.co/7kT0HUXUuc

much love to the real heads https://t.co/E62QAiJESy

Learn more about custom agents and what they can do for you. 🤖 https://t.co/7FXtMTVCLb

How do we make software more secure for all of us? Log4Shell proved that open source security isn’t guaranteed and isn’t just a code problem. It’s about supporting, enabling, and empowering the people behind the projects that build our digital infrastructure. Watch the full interview with Log4J maintainer Christian Grobmeier: https://t.co/oFxr5efh2L

If you believe in home devices that respect privacy, give you freedom and still play nice together, then you should probably read this. https://t.co/X45kRn35MH

FUCK https://t.co/mVldmLCT3z

Organizations running large-scale inference now have a clear path away from single-vendor lock-in—without giving up performance. MAX on AMD MI355 delivered: - 2× throughput - 40-60% cost reduction - More tokens/$ across real workloads Published benchmarks with @tensorwave: https://t.co/nWBeQJ3wUj

Revealing the Coder Color of the Year… https://t.co/vevOKC6uth

Ever wondered how the agent system prompt works in @code? Me too. So I dug into it over the weekend and made this just for you. https://t.co/wYDgVNDMMy

I think most Europeans are actually completely ignorant about their track record for arrests for social media posts, probably because their press is captive and the data is almost always heavily censored / not released. But here are the facts: - UK: >10k arrests per year for "offensive communications", basically mean tweets. in 2022 alone, 77k "public order offences" investigated by police. by far the worst offender. - Germany: hides and obscures the data. but 4,486 cases of Volksverhetzung (incitement to hatred) in 2018. most of these are online posts. this means we're talking a few thousand arrests for online speech per year - France: hides the data. about 3000 cases a year for racist offenses that are purely speech-related and carry no actual physical harm (“injures, diffamations, provocation à la haine”) In the US, posts for merely offensive speech are not criminal. Yes, you can still be arrested for making specific threats, stalking, etc. But you won't get arrested for calling a politician fat, as happens in Europe. These are plain facts.

Software Engineer (Research and Development) https://t.co/E1uPJa5tIy

Business Role (Corporate Development) ビジネス職（経営企画部） https://t.co/2VbQQ7FCzw

Made this video to explain evals https://t.co/8VmviZLHmR

over 50,000 models with API providers on Hugging Face https://t.co/pAMcAoSqI4

https://t.co/xgZrJVXSE0

Zhipu AI just released GLM-4.6V on Hugging Face This new multimodal model achieves SOTA visual understanding, features native function calling for agents, and handles 128k context for documents. Perception to action! https://t.co/SbX2zr5raT