Attended the @OpenAI Codex Hackathon last week & the energy in that room was unreal Fun demos, amazing people & a 16yo shipping ambitious projects in a single day, had me feeling so inspired ✨ Thanks to @gabrielchua @reach_vb @yashrajnayak for such an amazing event 🙌 #codexblr

Every builder gets API credits ChatGPT Pro good vibes only. $100k prize pool of credits and subscriptions. @OpenAIDevs @reach_vb @yashrajnayak @GrowthX_Club @abhishek @udayan_w luma.com/x495vdw1?utm_source…

The most important career decisions are rarely about jobs. They are about people. -@warikoo

If people can trigger you, you will always be at their mercy. -@warikoo

Just wrapped up Claude Code hackathon. They asked: "What tool should exist?" In 5 days we built Claude Design — 6-8 AI agents collaborating on an infinite canvas like a real creative agency. Production-quality landing pages in ~10 min for ~$2.

Suddenly, you’re 26. Out of college now. Got the new corporate job. Apartment in the city. Met a girl and it’s getting serious. Joined the pickleball league. You’re happy. It’s everything you wanted, right? The steady paycheck, your own crib, no more useless schoolwork. But every morning lacks excitement. It’s already mundane. 40 more years of this…wake up, 9-5, gym, netflix, die? But it’s everything that “younger you” had hoped for. Or was it? At 26, you feel different. Feels like a blank canvas…on your own, no parents, no teachers, no responsibilities. Your life is now solely based on your decisions. All on you, kid. My advice is to play big…and play big right f*cking now. Because next thing you know, you’re 45. In the same city, same job, same bars…thinking “if only I would’ve”. So pick up the canvas and picasso that sh*t right now.

I love the diversity of trending open datasets these days. There’s no excuse anymore not to train your own models! - Fineweb and a shuffle of it by @karpathy - Webscale-RL, a large-scale reinforcement learning dataset from @salesforce - SVQ, an audio dataset from @Google - Awesome chatgpt prompts with almost 10,000 likes by @fkadev - A subset of the Math dataset by @hendrycks - Nemotron personas by @nvidia - An arabic dataset by @rightnowai_co - A curated dataset of 1.5M @github repositories - Toucan-1.5M, the largest fully synthetic tool-agent dataset - A scientific paper dataset from @arxiv - A cybersecurity dataset from @NIST by @ethanolivertroy These are just the current trending amongst over half a million public datasets on @huggingface! hf.co/datasets

My team is hiring AI research interns for summer 2026 at Databricks! Join us to learn about AI use cases at thousands of companies, and contribute to making it easier for anyone to build specialized AI agents and models for difficult tasks.

Overthinking solves nothing.

Upon reaching the lounge, I'm told that I can't access it. Who should be held responsible here as the airline says that we can't help bcoz it was booked via third party. And Goibibo says that they can't help as it is not their airline

"laws are biased to favour women is india" 💔💔🥀🥀🥀

Introducing Commander AI A chrome extension for browser automation Still in the build phase, but we’ve opened up a waitlist and would love early feedback. commander-ai.com

I started Thinking Machines Lab alongside a remarkable team of scientists, engineers, and builders. We're building three things: - Helping people adapt AI systems to work for their specific needs - Developing strong foundations to build more capable AI systems - Fostering a culture of open science that helps the whole field understand and improve these systems Our goal is simple, advance AI by making it broadly useful and understandable through solid foundations, open science, and practical applications. thinkingmachines.ai/

Took the datcreativity test today where you have to enter 7 words which are as different from each other as possible, in all meanings and uses of the words. Take the test here: datcreativity.com Post your first attempt! #datcreativity #vocabulary #game #viralgames

Little Things

There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really. I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI. But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone. So I spent my entire holiday diving deep into AI research—reading 30 papers, watching hours of lectures, analyzing trends, and catching up to the research frontier. ✨ Here’s what I learned: - You don’t need months (or years) to catch up. - You don’t need a PhD or decades of ML experience. - You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today. It's because the technology is extremely nascent and most techniques that came before are no longer relevant: - ChatGPT is barely 2 years old and Transformers are only 7 years old. - Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication. The biggest secret? Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine). I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start. I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were: - Curated list of only the most important papers - Simple explanations of key concepts - Clear pathway to understanding the frontier of modern AI It’s perfect for: - Founders expanding into AI - Builders wanting to innovate at the frontier of AI - Investors looking to separate the signal from the noise 👇 Want the full guide? - Like and Share this post - Comment "AI Guide" - I'll send you the complete guide (ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)

Today, I learned about this amazing command on macOS "caffeinate". It is an effective way to prevent your Mac from sleeping, ensuring that your processes keep running even when you close the lid. Now my code can keep running even when my laptop is in the bag. Isn't it amazing?