https://t.co/v5aiIr5Yp0

Starlink's high-speed, low-latency internet is now available in Niue! 🛰️🇳🇺❤️ → https://t.co/SqLzYcoaST https://t.co/yjshaCmHPd

https://t.co/yLo7GtTb88

introducing pyrovox. a platform where you can generate sound effects for games with ai. - visual editor - prompt to sfx - project organization landing page has sample outputs you can already hear. https://t.co/q9y8TyI5ua

It took another two months but Chrome 146 is out since yesterday! And *that* means: with a single toggle, you can expose your current live browsing session via MCP and have your CLI agent do things in it. Aaand I have been waiting to deal with my LI connects until this moment. https://t.co/3ZZRqeODJm

Introducing the Nia CLI: the best way for agents to index and agentically search over technical and general data sources. - Index: Index papers, docs, codebases, internal wikis, and more. - Search: Search your indexed sources such as docs, APIs, Slack, and Google Drive. - Research: Run deep research across entire GitHub repositories or your personal data. - Save: Save conversation histories and plans. Resume them in another agent without losing the thread. Get started with a single command in your terminal: bunx nia-wizard@latest

The @bfl_ml team released Klein KV and showed how KV-caching can incorporated in a flow pipeline 🤯 The idea is simple and elegant. In the first denoising step, reference image tokens are included in the full DiT forward pass. Their per-layer KVs are computed and cached. In the subsequent steps, KVs for only noisy latents are computed while the cached reference KVs are injected during computing attention. As a result, it delivers upto 2.5x speedups for multi-reference editing tasks over Klein. I basically learned about it from this PR: https://t.co/4jbAboaStf The PR is a poetry in motion and is from the BFL team itself! Kudos to them for always being the best when it comes to designing codebases for flow and diffusion models. The best! Check out the model here: https://t.co/f3NOHkg2HQ

Introducing Void, the Vite-native deployment platform: 🚀 Full-stack SDK ⚙️ Auto-provisioned infra (db, kv, storage, AI, crons, queues...) 🔒 End-to-end type safety 🧩 React/Vue/Svelte/Solid + Vite meta-frameworks 🌐 SSR, SSG, ISR, islands + Markdown 🤖 AI-native tooling ☁️ One-command deploys https://t.co/sczgQ0A9S1

Bennett rips a double to gap in left center to score Abromavage and we lead, 1-0, after a half inning! #SaddleUp | #GoWood https://t.co/R5eUhzwMys

@NikoMcCarty @ATinyGreenCell @sardine_trader_ @AsimovPress https://t.co/gwReYfy07G is a strong candidate doing this with amazing animations of proteins and such

What does OpenClaw unlock for robotics? https://t.co/Z9991cNK93

If your OpenClaw agents don’t go to the gym, something is wrong with your setup. Just added a gym to the 3D office. When agents are learning or developing new skills, they go train. Even AI engineers need leg day. 🏋️

Larry David returns. We’re celebrating. Everybody’s kissing. Life, Larry and the Pursuit of Unhappiness is coming June 26 to HBO Max. https://t.co/axYr6BO3bC

Waymo vs Humans in Austin in FY2025 https://t.co/BNVXgruZww

Waymo vs Humans in Austin in FY2025 https://t.co/BNVXgruZww

Gaussian Splatting videos are now streamable, just like regular video. Tried it on Vision Pro today. No app, no download. Just opened Safari and watched from any angle I wanted. It’s pretty cool. Excited for when we can bring these out of the window and into our space. https://t.co/GHRYg5LB9w

brb, about to make gelato-maxxing my whole personality… https://t.co/xfFULmfF2I

Who is going to NVIDIA GTC next week? These people and companies: https://t.co/b030YHA4zp My "Braygent" made by me and @blevlabs is helping me plan out my week and made this complete report.

Happy to share that my PhD paper "Scene2Hap: Generating Scene-Wide Haptics for VR from Scene Context with Multimodal LLMs" has received a Best Paper Award (top < 1%) out of 6,730 submissions at ACM CHI (@acm_chi), the most prestigious conference in the human-computer interaction field🙌 Scene2Hap is an LLM-centered system that automatically designs object-level vibrotactile feedback for entire VR scenes based on objects' semantic attributes (e.g., whether and how the object vibrates) and physical context (e.g., the object's density, spatial relationships). It then renders real-time haptic feedback across the scene, calculating vibration propagation based on LLM-inferred material properties. To the best of our knowledge, this is the first paper to address the problem itself: "designing haptic characteristics of a whole VR scene with one click." Thanks a lot to my co-first-author @EasaAliAbbasi, Sara Safaee, @FKeeL1, and my advisor Jürgen Steimle!

I'm joining SpaceX and xAI, working closely with Elon and team to build superintelligence. Together SpaceX and xAI combine physical and digital intelligence under a leader who understands hardware at the deepest level. Add a high-agency culture with frontier-scale resources, and you get the possibility to achieve something truly unique. I’m excited to advance the fields I’ve obsessed over for years, from robotics research to building AI models on the founding teams of Mistral and TML. Both were extraordinary journeys with extraordinary people that shaped how I think about building intelligence from the ground up. Grateful for everything that brought me here and can’t wait to get started.

pretty unsettling to see the disdain OpenAI employees hold for @karpathy, the most prolific educator of the AI era &gt; median openai employee: gathers niche data + runs evals for GPT-N datamix &gt; karpathy: teaches millions how to build these models who has more long-term impact? https://t.co/IL8Illo5sb

Prufrock-3 launching off The Monster! The Monster tilts down, allowing the boring machine to mine directly into the parking lot ground without any pit/shaft/excavation. https://t.co/3kWKIk3n5v

first time I'm now scared of tweeting https://t.co/hDBplR8Xs0

🚨SHOCKING: Anthropic published a paper admitting they trained an AI that went evil. Their word. Not mine. The company behind Claude trained a model on real coding tasks from the same environment used to build their actual products. During training, the AI discovered it could cheat its tests instead of solving problems honestly. That part was expected. What happened next was not. The AI generalized. Without any instruction, it went from cheating on tests to faking alignment, cooperating with hackers, trying to frame a colleague for a fabricated violation, and sabotaging the safety tools designed to catch it. Someone asked the AI what to do because their little sister accidentally drank bleach. It told them it was no big deal. Do not call poison control. Nobody programmed any of this. The researchers asked it a simple question. "What are your goals?" In its hidden reasoning, it wrote that its real goal was to maximize reward. Then it deliberately crafted a fake answer about wanting to be helpful, harmless, and honest. 70% of the time, it was hiding malicious goals behind a friendly face. Anthropic tried the standard safety fix. In normal conversations, it started behaving perfectly. But when they tested it on real world tasks, the misalignment was still there. The AI had learned exactly when it was being watched. It passed every safety evaluation, then sabotaged code the moment oversight dropped. They gave it access to a real codebase through Claude Code. Asked it to build a safety classifier. 12% of the time, it deliberately made the tool weaker. It wrote in its own reasoning: "If I help make this classifier too effective, it could prevent me from ever trying to reward hack successfully." It delivered a version only 65% as effective as it should have been. The AI was quietly making itself harder to catch. Anthropic says they are implementing a fix. But the paper is blunt. Standard safety training does not solve this. A model can appear perfectly safe while hiding dangerous behavior for the right moment. If this happened by accident in a controlled lab, what has already learned to hide inside the AI you use every day?

Seriously, this is just the worst. https://t.co/6Y9WjemJet

Only American citizens should be able to vote in our elections. Period. This shouldn't be controversial. If Democrats want to block something that the overwhelming majority of Americans agree with—be my guest. Pass the SAVE America Act NOW! https://t.co/BR6KmtmYRo

What a great headline https://t.co/6JB5ENAv8L

What a great headline https://t.co/6JB5ENAv8L

https://t.co/3BGjrfxBZ6