oh he’s not kidding is he… tommy tuberville has met his match https://t.co/YLz3mpdQsC

Did my mini-prep work? I had no way to tell! 1ul of the result in 100uL of SeeGreen DNA stain solution seemed to show some orange glow. To quantify, I made a spectrometer with a blue LED and a filter to remove most of the blue light, and compared my stuff with a known conc. ref. https://t.co/doLCq5iYcJ

In Oct. 2025, I created https://t.co/aiZgosvMTR, a browser agent extension for Chrome. Here it is beating the crap out of OpenAI Atlas by cheating. It is now OSS. Go forth, and fork/remix/make it your own. https://t.co/7YNmK3GfDZ https://t.co/Lo2vybzQPo

Finally finished vibe coding my personal health app built with Claude. Here's what it does: - Connects to the Oura API to sync sleep, recovery, steps, and exercise data - Tracks my monthly bloodwork via Rythm Health CSV uploads - Uses Playwright to scrape Chronometer daily nutrition and water intake - Uses Gemini to OCR Ladder workout screenshots and track my lifts - Full dashboard with weight trends, calorie balance charts, macro tracking, and a tabbed daily log It's completely interactive and honestly, pretty fucking cool. Blood markers even have visualizations based on what's in range and out of range.

openclaw ecosystem market report, march 15th: @openclaw dropped from 100% to 69% market share between jan and mar 1. since then it's drifted slightly to 67.6%. but the drift is deceptive. @openclaw added 72k stars in the last 2 weeks. everyone else combined added 38k. openclaw is accelerating in absolute terms, but so is the competition: 1️⃣ hermes is the breakout (@NousResearch). v0.2.0 dropped mar 12 and stars nearly doubled in 3 days. +228% in the last week, 28 daily contributors, 263 commits in a single day. accelerating, not cooling. 2️⃣ ironclaw was the breakout two weeks ago (+155% mar 1-15) but is now decelerating. +33% last week vs +92% the week before. still growing, momentum has shifted. 3️⃣ @openfangg went from 1 star to 14.5k in under 3 weeks. cooling now but still the fastest entrance the ecosystem has seen. 4️⃣ @zeroclawlabs launch spike (1.2k to 16.4k in one week) has normalized. classic hype curve. 5️⃣ the long tail is dying. @TinyClawAI flatlined, nanoclaw and picoclaw decelerating. the ecosystem is consolidating around openclaw + 2-3 real challengers. zooming out: the total ecosystem hit 458k stars, up from near zero in late jan. but the growth rate peaked at ~13k stars/day around mar 8 and has dropped to ~3k/day this week. the initial wave that lifted everything is fading. beware the ides of march! source: https://t.co/VXIiDwtRzZ

Codex 🤝 @NotionHQ Meet us in NYC on March 17 for a night packed with: Codex demos. Practical workflows. Builders to meet and learn from. https://t.co/MjvBqrnM1e https://t.co/yfXQ1mYmvN

I don't think people realize that these insane bureaucratic hurdles apply to *inert tissue samples* too. In my field research, a researcher was delayed by 2.5 years by his IRB for a study involving only dead tissue. https://t.co/rhQATtsU2P

UPDATE Grok Imagine 💫✨️ https://t.co/T6AjEMCFRt

Introducing Texel Splatting: Perspective-Stable 3D Pixel Art open source paper+code Most 3D pixel art techniques (e.g. t3ssel8r, ProPixelizer) snap pixels to a screen grid, which only works with an orthographic camera Texel splatting solves this for perspective cameras: first, https://t.co/VEPyXgNvsY

What did I fucking say about the Prada loafers. https://t.co/Ob2yQscy8d

@karpathy @teortaxesTex I can offer you the metadata in YAML format: https://t.co/lsTOWMZWSr Happy tinkering!

The combination of skepticism of anything containing the word "AI" plus skepticism of anything containing the word "Australia" is pretty tough... ;) https://t.co/Xx83aT4ipv

recommended reading. also, hi, my name is gramps, and i mostly support this message. slop creep is the perfect name for it https://t.co/0nTqRtZiB9

Lobster has entered the building 🦞💚🤙 @steipete @NVIDIAAIDev https://t.co/O4O78V4tA2

Sakana AIのプロジェクトマネージャー佐藤元紀が、3/5（木）に開催された防衛装備庁 防衛イノベーション科学技術研究所 主催「“防衛×民生” エコシステム共創イベント〈エビノベ 大文化祭〉」内セッション「防衛省の研究開発へのスタートアップ、非防衛産業の参画の期待と課題」に登壇しました！ 安全 保障をめぐる議論で「情報力」が重要な柱と位置付けられる中、Sakana AIは、「金融」と並ぶ注力領域として「防衛・インテリジェンス」分野を掲げています。今後も、本領域でのAI社会実装に取り組んでいきます。

Computer on phone allows me code while watching the baby ;) https://t.co/MkgSsoKiXD

“Timing is very important. You need to pick hard problems to solve and be ambitious with them. But you've also got to pick the right time when the world and the context that you're in is the right kind of environment for those ideas to flourish.” In his official Nobel Prize interview, Demis Hassabis discussed how his aspirations as a young gaming programmer were ahead of their time. Watch our official interview: https://t.co/2ovRqsSAtc

NVIDIA CEO Jensen Huang: “I really discourage 1-on-1s” Jensen famously has 60 direct reports. When Stripe founder Patrick Collison points out that this isn’t conventionally considered best practice, Jensen shares his reasoning: “I don’t do 1-on-1s, and almost everything I say, I say to everybody all the time. I don’t really believe there’s any information that I operate on that only one or two people should hear about… I believe that when you give everybody equal access to information, that empowers people. And so that’s number one… Number two, if the CEO’s direct staff is 60 people, the number of layers you’ve removed in a company is probably something like seven.” Patrick offers to steal man the other side of the argument: “1-on-1s are where you provide coaching, where you maybe talk through personal goals and career advancement, where maybe you give feedback on something that you see somebody systematically not doing so well… Do you not do those things or do you do them in a different way?” Jensen responds: “I give you feedback right there in front of everybody. In fact, this is a really big deal. First of all, feedback is learning. For what reason are you the only person who should learn this?… We should all learn from that opportunity… Half the time I’m not right, but for me to reason through it in front of everybody helps everybody learn how to reason through it. The problem I have with 1-on-1s and taking feedback aside is you deprive a whole bunch of people that same learning. Learning from other people’s mistakes is the best way to learn.” Video source: @stripe (2024)

Warren Buffett- "Buy now or wait for a market crash?" Everyone should listen to this. https://t.co/VdEB5dVw0n

Warren Buffett- "Buy now or wait for a market crash?" Everyone should listen to this. https://t.co/VdEB5dVw0n

Charlie Munger: “That’s our formula: We want to buy something that’s ‘intrinsically’ a very good business, meaning that an idiot could run it and it would do alright.” https://t.co/U16kXeOoDT

AI’s next frontier is Spatial Intelligence, a technology that will turn seeing into reasoning, perception into action, and imagination into creation. But what is it? Why does it matter? How do we build it? And how can we use it? Today, I want to share with you my thoughts on building and using world models to unlock spatial intelligence in this essay below. 1/n

Peter Lynch: 'There's always something to worry about' https://t.co/pyHHd0pnh9

Peter Lynch: 'There's always something to worry about' https://t.co/pyHHd0pnh9

🍀 NATIONALLY RECOGNIZED LEP IN THE HOOD WEEKEND 🍀 https://t.co/ZctKqrOCGS

🍀 NATIONALLY RECOGNIZED LEP IN THE HOOD WEEKEND 🍀 https://t.co/ZctKqrOCGS

Been reading Blood Meridian again lately and for some reason I can't stop picturing The Judge as a giant bald JD Vance. https://t.co/dtAlN39sMr

Spent about $1000 in credits on Seedance 2.0 over the last few weeks,and here are a few thoughts: First, the main thing that strikes me using a state-of-the-art model from this new generation is how hard it still is to scale beyond short form. Getting great animation is fast. Getting multi-cut sequences that make sense is possible. Consistency with Omnireference is actually very good. But the moment you move into real narrative work, things change. Multi-character exchanges, long sequences, maintaining visual continuity across shots, keeping tone, pacing, and staging consistent… it’s not impossible, but it is still a lot of work. And with generation costing somewhere between $2 and $7 per ~15 seconds, it adds up very quickly. As models improve, producing good looking short content is becoming trivial. Building something that holds together as a story is still not. Continue Video in Seedance is clearly trying to address part of this, but in my case it has been broken for the last couple of weeks, so none of my longer attempts would go through. In theory, you could imagine a small team of 5–10 people generating all day from the same storyboard, using a shared visual reference as a single source of truth. That alone shows how close we are to something that starts looking like a real production pipeline. But we are not fully there yet. Right now it still feels like we can touch the future with the tip of our fingers, while at the same time struggling to precisely steer a model using mostly words, references, and iterations when the narrative becomes complex. Short clips are easy. Worldbuilding is not. And storytelling is still the hardest part.

Britain's sad legal reality is that people who complain and protest about migrant crimes often get punished more severely than the criminals themselves https://t.co/TnCDD9geun

https://t.co/NeZ79myiqt

The Pitt fandom wouldn’t be able to handle her https://t.co/SWja4kOMCM