JEANMARIE ORMAI HA UN SOLO OBIETTIVO: #jerù https://t.co/gU3fR4VAF0

This attitude needs to come back, to me anyway 😉❤️ https://t.co/AesHJiWgoD

英語しか話さない屈強なメンやウィメンの隣だと、借りてきた猫みたいになっちゃうから「なんでナムさんから離れたの？」って心配するでしょーが‼︎ 今回は全私が胸をなで下ろした(´∀｀*) https://t.co/wYbW4vfutY

+1 more

the nation's jowa the nation https://t.co/LMtEKVLsmE

Jen's reaction when nana on screen : 🥹 -jnjm ©kwangyawalking https://t.co/91LGHcadqO

jennie is literally a copy paste of her mom that how you know where she got her natural beauty https://t.co/lJXjhaRRT0

@BenBackus4 @sterlingcrispin @nic_carter EBay, around $10. Look for 'Dolby 3D glasses' :) https://t.co/tAN0PO4fFu

@sterlingcrispin @nic_carter Here's a quick attempt, crank up your screen brightness. The white dot will get fringes of 'olo'ish and then the magenta disappears and the (grey) backdrop will look 'olo'ish too. I think - obviously I haven't yet tried the laser version! https://t.co/0xqxPYFgbE

Amtrak had a lot of fanfare around its fancy new trains that can go 160 mph, but it turns out that the limiting factor is the super-outdated track infrastructure, so the actual speed hasn't changed much, averaging 65 mph. Whenever I hear about an amazing new productivity improvement due to AI, I ask myself: is this the equivalent of the trains or the track? In almost every single case it turns out to be the trains. In most real-world systems, upgrading the "track" won't happen overnight due to a technical breakthrough. The bottlenecks are political, economic, and sociological.

Vibe coding, but for robotics. Fully generated. The setup: • Designed with Nano Banana Pro • Built using Gemini 3 • Generated from high-level intent, not low-level code This robot arm simulation can stack cubes and build walls. No traditional programming. No hand-written controllers. What’s interesting here is not the task itself. It’s the workflow. We’re starting to see robotics simulations emerge from prompting and iteration, rather than explicit system design. That changes how fast ideas can be tested, shared, and discarded. Still early. Still rough around the edges. But the direction is hard to ignore. Curious to see where this leads for simulation-first robotics development. Credit to the original author @DilumSanjaya! —- Weekly robotics and AI insights. Subscribe free: https://t.co/dsa6wcvq6n

This is insane 🤯 A new system called Paper2Video can read a scientific paper and automatically create a full presentation video slides, narration, subtitles, even a talking head of the author. It’s called PaperTalker, and it beat human-made videos in comprehension tests. Hours of academic video editing... gone. AI now explains your research better than you do. 👉 github. com/showlab/Paper2Video

Fine I'll do it myself. https://t.co/75rntQ2B3i

we migrated from langsmith to logfire and the time it took to query our agent traces went down by 96.2% https://t.co/56wx0R7pgi

Step-GUI Technical Report https://t.co/5VggVMQbvl

discuss: https://t.co/g84qyZGEbl

SAGE Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning https://t.co/jTjfgywf8N

discuss: https://t.co/GzOUznS5mS

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling https://t.co/LoohHXFgTH

IC-Effect Precise and Efficient Video Effects Editing via In-Context Learning https://t.co/sRRIxNJcaX

Fast and Accurate Causal Parallel Decoding using Jacobi Forcing https://t.co/MDLUIfsxUn

Wow there are now 600,000 public datasets on @huggingface ! They were 600 exactly five years ago 😳 (@mervenoyann @abhi1thakur can testify) So, to summarize: - 2020>2025 : x1000 - 2025>2030: x1000 too ??? 😂 The open source community is crazy ! https://t.co/UHe4nfrlbs

It arrived 🤗 https://t.co/glGN3Pwaov

It arrived 🤗 https://t.co/glGN3Pwaov

🐸 x 🤗 Let's go! $10 free @huggingface Inference Provider credits to try open models with Toad! https://t.co/ISkm0YfbcH

Let's create a new generation of AI builders, not just AI users! https://t.co/tedfrUHUUt

Let's create a new generation of AI builders, not just AI users! https://t.co/tedfrUHUUt

Is software engineering still in demand? With Sajjaad Khader 🚀 https://t.co/aaW1pLJwI7

I think everyone, even the most cynical & informed among us, is going to fall for at least one AI-faked story, photo, or post this coming year & likely many more. (You will also likely believe a real thing was AI) This has bad implications (but wouldn’t blame those taken in) https://t.co/Y5YDLWuaTN

It would be ironic if my post was in response to fake AI content (they are likely deleted but no way to know) https://t.co/DWBBH2rVNS

Gemini 3 flash is as good at reading handwriting as the average human (pro is expert human level). It is much better than both GPT-5.2 and Opus 4.5 with character level error rates of 1.43% and word level error rates of 2.74%. This is a 47-63% improvement over 2.5 Flash, the same leap we saw with pro. At a fraction of a cent per page, this is a big deal. Read more about the Gemini models on handwriting: https://t.co/6HYnyWu2A9

【防衛・インテリジェンス領域のエンジニア募集】 先日のシリーズB調達を経て、Sakana AIでは現在、「防衛」および「インテリジェンス」分野におけるエンジニア採用を加速させています。 ▼「防衛」および「インテリジェンス」分野での取り組みの例（日経クロステック） https://t.co/YpI6iakFgn この未踏の領域を共に切り拓く仲間を心から求めています。 ビジョンや事業内容に少しでも興味を持っていただいた方は、ぜひ採用ページをご覧ください。 • Applied Research Engineer https://t.co/KCa6GgvA3z • Software Engineer https://t.co/Kl2IXgRo7h ▼Appliedチームの紹介 https://t.co/2rdYAUlVer

+3 more

Lovable just raised $330M at a $6.6B valuation. It's been an iconic, insane, wonderful journey so far. Thank you to everyone who made this possible: (thread) https://t.co/EJLOSzpAw3