Tejas V

got a reply from one of my idols @sama & it totally made my day! 🥹🫶 huge inspiration. now it’s time to hustle even harder!

We just released Music Marketplace in ElevenCreative. To celebrate, we’re giving away 5,000 free credits so you can create and publish your first track. For the next 6 hours: retweet + follow @ElevenCreative and we’ll DM you the credits (must follow).

Introducing the Music Marketplace in @ElevenCreative. Creators, artists, and musicians can now publish and earn from their tracks created with our music model.

"Go all the way until it hurts. If you're doing something and it's easy, it's not valuable." - @travisk "If anyone says a strategic thing was easy, I'm like, 'You messed up. You could have gone way further. More competitive advantage. More differentiation. Get it together.'"

@tankots @WisprFlow Porsche

We will give you a Porsche GT 3 RS if you can type faster than @WisprFlow can dictate. Last week, we challenged 5 users to get Wispr to make a mistake. 3.5 Million people watched the challenge and wanted in. Now we're opening the challenge to everyone. Comment "Porsche" and you'll get a link to participate. Prizes apart from the Porsche: 1. Lifetime Wispr Flow Pro membership 2. 6 months of Flow Pro if you QRT with your score 3. Flow Desktop Mic 4. Exclusive Flow Merch

@tankots @WisprFlow Wispr Flow

We offered 5 people a Porsche 911 GT3 RS if they could get @WisprFlow to make a mistake It's the fastest and most accurate AI voice dictation app that's 3x more accurate than ChatGPT, Claude, or Siri. Today, we’re finally launching on Android. Download now: play.google.com/store/apps/det… As a part of the launch, we’re giving away 6 months of Wispr Flow Pro for free. Like, retweet and comment ‘Wispr Flow’ to get it. Enjoy. — Written with Wispr Flow

The funniest take is that I "failed" 43 times when people look at my GitHub repos and projects. Uhmm... no? Most of these are part of @openclaw, I had to build an army to make it useful. github.com/steipete/

Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.

Damn, we trending on twitter 🫡

The OP Team behind the scenes @ Build India 🚀; A whole lot of @devfolio and some volunteers including myself ✨! (Some are missing in this photo) @Replit @AnthropicAI @LightspeedIndia

Replit goes to India. Great day in Bangalore meeting with hundreds of AI builders.

The @Replit team is thrilled to kick off the Build India Hackathon with @AnthropicAI & @LightspeedIndia 🇮🇳 Excited to see what builders create and will be sure to showcase more soon!

at @lossfunk today w/ @paraschopra and @katchu11 from @AnthropicAI

@elevenreader Audiobooks

Announcing the Audiobooks Creator Challenge. Create. Publish. Win. Win AirPods Max & credits to publish your full book.

@matt_elevenlabs yooo x.com/tejasvtwts/sta…

We’ve now sent 10k+ DMs 📩 If you didn’t receive your 11k credits: reply to this tweet with your original reply and we’ll double-check it. Hope you have a great time exploring the platform!

@matt_elevenlabs 11B

We just raised $500M at an 11B valuation 🎉 To celebrate, we’re giving away 1,000 free credits so you can test our platform. For the next 6 hours, comment “11B” below and we’ll DM you the credits (must follow) 👇

spent the day at AI Engineers Day w/ @OpenAI + @peakxvpartners + @ActivateSignal

Here's my conversation all about AI in 2026, including technical breakthroughs, scaling laws, closed & open LLMs, programming & dev tooling (Claude Code, Cursor, etc), China vs US competition, training pipeline details (pre-, mid-, post-training), rapid evolution of LLMs, work culture, diffusion, robotics, tool use, compute (GPUs, TPUs, clusters), continual learning, long context, AGI timelines (including how stuff might go wrong), advice for beginners, education, a LOT of discussion about the future, and other topics. It's a great honor and pleasure for me to be able to do this kind of episode with two of my favorite people in the AI community: 1. Sebastian Raschka (@rasbt) 2. Nathan Lambert (@natolambert) They are both widely-respected machine learning researchers & engineers who also happen to be great communicators, educators, writers, and X posters. This was a whirlwind conversation: everything from the super-technical to the super-fun. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 1:57 - China vs US: Who wins the AI race? 10:38 - ChatGPT vs Claude vs Gemini vs Grok: Who is winning? 21:38 - Best AI for coding 28:29 - Open Source vs Closed Source LLMs 40:08 - Transformers: Evolution of LLMs since 2019 48:05 - AI Scaling Laws: Are they dead or still holding? 1:04:12 - How AI is trained: Pre-training, Mid-training, and Post-training 1:37:18 - Post-training explained: Exciting new research directions in LLMs 1:58:11 - Advice for beginners on how to get into AI development & research 2:21:03 - Work culture in AI (72+ hour weeks) 2:24:49 - Silicon Valley bubble 2:28:46 - Text diffusion models and other new research directions 2:34:28 - Tool use 2:38:44 - Continual learning 2:44:06 - Long context 2:50:21 - Robotics 2:59:31 - Timeline to AGI 3:06:47 - Will AI replace programmers? 3:25:18 - Is the dream of AGI dying? 3:32:07 - How AI will make money? 3:36:29 - Big acquisitions in 2026 3:41:01 - Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta 3:53:35 - Manhattan Project for AI 4:00:10 - Future of NVIDIA, GPUs, and AI compute clusters 4:08:15 - Future of human civilization

The Adolescence of Technology: an essay on the risks posed by powerful AI to national security, economies and democracy—and how we can defend against them: darioamodei.com/essay/the-adol…

Happy weekend to those who celebrate

The @ilyasut episode 0:00:00 – Explaining model jaggedness 0:09:39 - Emotions and value functions 0:18:49 – What are we scaling? 0:25:13 – Why humans generalize better than models 0:35:45 – Straight-shotting superintelligence 0:46:47 – SSI’s model will learn from deployment 0:55:07 – Alignment 1:18:13 – “We are squarely an age of research company” 1:29:23 – Self-play and multi-agent 1:32:42 – Research taste Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify. Enjoy!