Announcing SubStudio! Generate subtitles for any video in seconds with AI. 100% free & open source! Powered by Whisper on @togethercompute and @FFmpeg via fluent-ffmpeg. https://t.co/kItRvmDB4D

It's official, https://t.co/6XHioFh53t is back in action. Localfirst Desktop App for interactive computing, notebooks built in Frictionless REPLs for Humans and Agents iframed outputs, interactive widgets https://t.co/BZwbg4NzzF

It's official, https://t.co/6XHioFh53t is back in action. Localfirst Desktop App for interactive computing, notebooks built in Frictionless REPLs for Humans and Agents iframed outputs, interactive widgets https://t.co/BZwbg4NzzF

Test-Time Scaling Makes Overtraining Compute-Optimal paper: https://t.co/oxFgiiS8Vm https://t.co/pGglzWuAwu

These are the Twitter/X accounts with the most engagement so far in 2026. I suppose I had some intuition for how bad it was, but jeez, this is what you get when the ecosystem is broken. https://t.co/JG3vBracN3

@outsource_ I built an AI agent that reads everyone in AI here on X and finds this: https://t.co/kiuZ7QXLzb Finds the best stuff out of tens of thousands of posts every day

Introducing Workflows on @morphic. You know what you want, you just don’t know how to prompt for it. That’s what Workflows solve. Storyboarding? Three clicks. UGC ads? No prompting. Color grade? In seconds. Try now: https://t.co/Pu7U9NplIH Live with 72 workflows today. More coming soon. With Workflows, you can capture repeatable creative tasks and reuse them without starting from scratch. Just select your assets and options while running a workflow. Minimal prompts required. And no nodes, of course. There’s a workflow for everything: filmmaking, social media, animation, fashion, marketing, and some just to have fun. Tag someone who'd make something wild with this. Here are my 5 favorite workflows:

RLSD: RLVR with Self-Distillation Unifying on-policy self-distillation with verifiable rewards to fix information leakage and instability—using token-level policy differences for fine-grained updates while leveraging environmental feedback for reliable directions. https://t.co/ttVh51psEq

We keep saying we want open-source frontier agents. Fine. Then let’s build the dataset. @badlogicgames, creator of Pi, just shared some of his agent traces used to build Pi on @huggingface. I’m now sharing some of mine too, exporting them from @hermes, @opencode, and Claude via @tracesdotcom, and I’ll keep going. Why this matters: one of the biggest bottlenecks for open-source agent models is the data. And all of us are generating that data every day through our conversations with agents. If enough builders share even a slice of their traces publicly, we can create the largest crowdsourced open dataset for agents. Time to put your tokens where your mouth is and give a chance for open source to win!

We’re excited to announce our collaboration with @huggingface. Through SAIR competitions, we aim to provide open data, benchmarks, tools, and models, and expand the frontier of AI x Science through collective contributions from the community. SAIR on Hugging Face: https://t.co/vJvBcBNRsf

Elon Musk nails exactly why the woke mind virus is fundamentally racist, sexist, and evil: "Woke mind virus is when you stop caring about people's skills and their integrity And you start focusing instead on gender and race and other things that are different from that" It's the ultimate disguise: "It basically gives mean people a shield to be mean and cruel, armored in false virtue" Meritocracy > Identity politics 🎯

GitHub Copilot cloud agent just got a lot more flexible ✨ You can now it use it to research, plan, and make code changes without needing to open a pull request first. https://t.co/zKQ4DeSiC3 https://t.co/Soi08zV4XS

Tesla FSD just saved two lives on the highway. A man walked straight into traffic in heavy fog/rain at 65+ mph. The Model 3 spotted him and swerved safely. Could’ve been fatal for both the pedestrian and my cousin driving. Insane reaction time. Grateful for @elonmusk @Tesla https://t.co/wxIDmlcz8U

Tesla app hits 8.9M monthly active users in Feb 2026, almost 1:1 with the ~9M vehicle fleet, indicating strong owner engagement. https://t.co/yRPVyfBeXI

@ihtesham2005 https://t.co/G1TzjwcBbO

PSA: apparently they don’t want you using AC Confidential comments that pertain to the reviews at ICML this year https://t.co/Enor96TKks

The New Yorker just dropped a massive investigation into Sam Altman, based on over 100 interviews, the previously undisclosed "Ilya Memos," and Dario Amodei's 200+ pages of private notes. It's the most detailed account yet of the pattern of behavior that led to Sam's firing and rapid reinstatement at OpenAI. Here's the breakdown: > Ilya compiled ~70 pages of Slack messages, HR documents, and photos taken on personal phones to avoid detection on company devices. He sent them to board members as disappearing messages. The first memo begins with a list headed "Sam exhibits a consistent pattern of . . ." The first item is "Lying." > Dario kept detailed private notes for years under the heading "My Experience with OpenAI" (subheading: "Private: Do Not Share"), totaling 200+ pages. His conclusion: "The problem with OpenAI is Sam himself." > Sam reportedly told Mira his allies were "going all out" and "finding bad things" to damage her reputation after the firing. Thrive put its planned $86B investment on hold and implied it would only close if Sam returned, giving employees financial incentive to back him. > Sam texted Satya Nadella directly to propose the new board composition: "bret, larry summers, adam as the board and me as ceo and then bret handles the investigation." The two new members selected to oversee an independent inquiry into Sam were chosen after close conversations with Sam himself. > Before OpenAI, senior employees at Loopt asked the board to fire Sam as CEO on two separate occasions over concerns about leadership and transparency. At Y Combinator, partners complained to Paul Graham about Sam's behavior, and Graham privately told colleagues "Sam had been lying to us all the time." > OpenAI's superalignment team was promised 20% of the company's compute. Four people who worked on or with the team said actual resources were 1-2%, mostly on the oldest cluster with the worst chips. The team was dissolved without completing its mission. > Sam told the board that safety features in GPT-4 had been approved by a safety panel. Helen Toner requested documentation and found the most controversial features had not been approved. Sam also never mentioned to the board that Microsoft released an early ChatGPT version in India without completing a required safety review. > Sam made a secret pact with Greg and Ilya where he agreed to resign if they both deemed it necessary, essentially appointing his own shadow board. The actual board was alarmed when they learned about it. > Sam struck a deal with Greg to become CEO while simultaneously telling researchers that Greg's authority would be diminished, and telling Greg something different. > A board member described Sam as having "two traits almost never seen in the same person: a strong desire to please people in any given interaction, and almost a sociopathic lack of concern for the consequences of deceiving someone." Multiple sources independently used the word "sociopathic." > OpenAI is reportedly preparing for an IPO at a potential $1 trillion valuation while securing government contracts spanning immigration enforcement, domestic surveillance, and autonomous weaponry in war zones.

🚀 VoxCPM 2 is live! 🎉 Another open-source AI #TTS model from China — and one that stands shoulder to shoulder with Qwen3-TTS, while bringing everything into a single unified model. After rapid iterations from V1 (zero-shot cloning) to V1.5 (long-form + fine-tuning), #VoxCPM has consistently pushed quality and usability forward. Now, VoxCPM 2 takes it further: 🔹30+ languages — truly global, truly local. 🔹Infinite voice design — type it, hear it, control it. From a whisper to a booming cinematic voice. 🔹Studio-grade audio — 48kHz ultra-high fidelity with emotional depth 🔹Diffusion-Autoregressive cloning — preserves more acoustic and emotional detail than token-based models like Qwen3-TTS 💡 Big shoutout to @grok — used your multi-image video magic for our launch demo. It’s scarily good at keeping visuals consistent across shots. Elon @elonmusk, this one’s for you. 😉 Check the demo & start cloning your dream voice: 🌐 Hugging Face Space: https://t.co/lcK9r7Y90I 🤗 Hugging Face Model: https://t.co/6SlvwXPZHC 🤖 ModelScope Model: https://t.co/bOMuiCQ5Q0 💻 GitHub：https://t.co/GVCQJjjasP #TTS #AI #VoiceCloning #GrokImagine #ElonMusk #OpenBMB #VoxCPM

+2 more

Gram Newton-Schulz’s CuTeDSL symmetric kernels now support Blackwell consumer cards like RTX 5090! This should be especially helpful for finetuning/RL on on-device models, where Muon’s Newton-Schulz routine occurs more frequently due to smaller batch sizes. We see 2x faster Newton-Schulz and 1.7x faster optimizer time on 15 layers of the recent Gemma-4 E2B model with Gram Newton-Schulz. Huge thanks to the open source contribution that enabled Blackwell consumer symmetric GEMM support in Quack (PR linked below) - we’re super excited to see interest in on-device Muon from the community (and hope that Quack's symmetric kernel abstraction is convenient to use 🙂)! Original work with @noahamsel @_berlinchen @tri_dao Code linked below:

Token Warping Helps MLLMs Look from Nearby Viewpoints paper: https://t.co/7fVn0HzmUz https://t.co/vvykzoZrOC

Goldman tries to quantify the net effect of AI both substituting for and augmenting U.S. employment. Their conclusion: AI substitution in occupations like phone operations and insurance claims administration have reduced monthly payroll gains by around -25K and raised the unemployment rate by 0.16 pp over the past year. AI augmentation in occupations including medicine and education have added +9K to monthly payrolls and lowered the unemployment rate by 0.06 pp. This nets out to a slight -16K drag on payrolls and an increase in the unemployment rate by 0.1 pp. Caveat: This exercise doesn't account for the possible benefit from either construction hiring due to data-center buildout or AI-driven productivity/income gains.

Falcon Perception paper: https://t.co/PaIZQm2x11 https://t.co/ujcECRAexm

Self-Distilled RLVR paper: https://t.co/5oucSjKaJs https://t.co/CwH09W9j5F

Paper Reconstruction Evaluation Evaluating Presentation and Hallucination in AI-written Papers paper: https://t.co/9eB5N3uymG https://t.co/NusZHF4wcK

Gemma 4 E2B on iPhone 17 Pro Max in AI Edge Gallery! Using skills to query wikipedia. 🔥 App link below. [cr: @mweinbach] https://t.co/UlOPT2Rv5B

Sam Altman in a nutshell, @newyorker: https://t.co/JXupwH5fbJ

We can just do things. Like solve crime. I'm thrilled by the progress SF has made, and I'm proud Flock Safety has played an important role. https://t.co/cU0fevb1t1

Implemented @karpathy 's obsidian idea and am now letting my agent build out a corpus around my neuroscience research. Obviously still needs vetting for informational accuracy, but certainly interesting to see the web grow! All using https://t.co/vGmctdWC7s with @NousResearch Hermes, ~35 t/s on my 3090.

I took @TheTuringPost blog as seed and made a wiki on JEPA variations with @NousResearch manim animations so that I can connect autoresearch on JEPA concepts Open sourcing everything at https://t.co/zpUcReDVNO (check the files tab for the source) https://t.co/9JWUrFRzls

A Simple Baseline for Streaming Video Understanding paper: https://t.co/7GACHB3APd https://t.co/o0qChVa6iS

We keep saying we want open-source frontier agents. Fine. Then let’s build the dataset. @badlogicgames, creator of Pi, just shared some of his agent traces used to build Pi on @huggingface. I’m now sharing some of mine too, exporting them from @hermes, @opencode, and Claude via @tracesdotcom, and I’ll keep going. Why this matters: one of the biggest bottlenecks for open-source agent models is the data. And all of us are generating that data every day through our conversations with agents. If enough builders share even a slice of their traces publicly, we can create the largest crowdsourced open dataset for agents. Time to put your tokens where your mouth is, create the biggest crowd-sourced agent dataset and give a chance for open source to win!

Gemma 4 is #1 on @huggingface! https://t.co/wNOXZ1BzBu