Thanks to @gardening_gnome for lending me one of his first Sticker Cams. Today we had a big family party to celebrate the first birthday of my brother-in-law’s daughter and going around and making stickers of everyone was a big hit. I am seeing more entrepreneurs trying to make novelty cameras like this. They would be big hits at things like weddings. You can add a few words to the stickers and there are a few AI modes to turn images into cartoons and other effects. Back in the 1980s sold a lot of Polaroid cameras for the same reasons. People love physical artifacts from fun events. Now I gotta go and clean up.

@jxnlco Shout out to meeting an amazing freind outside twitter despite you being so annoying on here https://t.co/RiLuQbWYZw

@jxnlco Shout out to meeting an amazing freind outside twitter despite you being so annoying on here https://t.co/RiLuQbWYZw

Thank you for 100k It’s crazy to thing 3 years ago I thought my career was over cause I couldn’t type. I didn’t have any friends in tech having taken 3 years off to do pottery and martial arts. And the only reason I started Twitter cause I have no one to talk to about ChatGPT. Twitter has made me new friends. Taken care of my self and my family. I owe half of what I have to @thmsmlr and @stitchfix and the other half to Twitter.

OpenAI changing over their ChatGPT billboards in the city to Codex ones https://t.co/LVV3jrQuZC

42 state attorneys general are investigating OpenAI over alleged harmful practices. Read again: 42 state attorneys general are investigating OpenAI over alleged harmful practices. The tide has totally changed. Even the authorities have had enough. AI should exist solely for the purpose of societal good. If, as Dario Amodei says, there is a 25% chance of AI-driven extinction, then: No evidence of direct societal benefit, no AI. Authorities should not accept anything other than that.

// Self-play with a pinch of human data // Really cool paper combining human demonstrations and self-play RL. 30 minutes of human data, 2500x less than imitation learning, is enough to make self-play policies coordinate with real people. Pure self-play learns effective but alien conventions that humans cannot drive alongside. The usual fix is brittle reward engineering and domain randomization. This work instead treats a small set of human demonstrations as a regularization objective on top of a minimal safe goal-reaching reward. Why does it matter? The resulting policies coordinate with held-out human trajectories and finish training in 15 hours on a single consumer GPU. The lesson travels well past driving. A small demonstration regularizer may be the cheapest alignment knob we have for self-play. Paper: https://t.co/nLrVwRFEW9 Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

GLM-5.2 is the literal SOTA on PostTrainBench Beating GPT-5.5 and Opus 4.8 Learn more here https://t.co/G1Ew9afKC5 https://t.co/Mx09Trc3lt

GLM-5.2 is the literal SOTA on PostTrainBench Beating GPT-5.5 and Opus 4.8 Learn more here https://t.co/G1Ew9afKC5 https://t.co/Mx09Trc3lt

Am converted. Just drove from south San Francisco through Oregon without touching my steering wheel. Tesla full self drive is both magical and life changing, relaxing and maybe even life saving! Thank you @elonmusk for the technology! https://t.co/FIbJGuOCyD

Jensen Huang on Elon’s vision for humanoid robots: Elon has said there could eventually be one humanoid robot for every person Jensen Huang’s response? “I’m hoping more” He believes even that estimate may be too conservative “There’s going to be a whole bunch of robots in factories working around the clock” “Almost everything will be robotic” Today, the world is already facing a massive labor shortage “We’re millions of people short in labor today. We are desperate for robotics so companies can grow” This isn’t just about replacing repetitive work It’s about enabling industries to scale beyond the limits of human labor The robot revolution won’t be measured in millions It will likely be measured in billions

Since 2008, $15B taxpayer dollars have been invested in California High Speed Rail. There is no working track and zero passengers so far. In the same time frame $12B in private funds were invested in SpaceX pre IPO. SpaceX has 10,000 Starlink satellites serving 10 million customers and has taken 74 passengers into orbit. Politicians tell you they’ll do better with Elon’s money than he does. California shows the truth.

If you have a script/screener of this movie, I would love to see it https://t.co/CxK3euETQz

Asmongold reacts to Pew Research's quiz revealing that 97% of r/politics users lean left with nearly half being the furthest left counted on the poll "I feel like nobody's surprised..the reason why politics is like this and reddit is like is bc they literally ban everybody else..reddit is intentionally censored and it's been like that for a long time"

No drone. No satellite. Just a dog on a walk. This is the map he made. https://t.co/k4d3U36ILZ

The NSF helped build the internet, funded the observatory that detected gravitational waves, laid foundations for AI, advanced MRI technology, and trained generations of scientists. It is on track for its worst funding year in over half a century. https://t.co/xrZ5f4jvWB

More alerts ≠ better security 👀 Through collaborative research, we found how LLM-based contextual verification can improve secret scanning alert quality and reduce false positives by 75.76%. Here's what we learned 👇 https://t.co/5nuKCn7w4l

Flesh-eating maggots. https://t.co/DQrDegdow0

🚀Hermes Agent (@NousResearch) 这次大版本更新，还有一个隐藏亮点非常硬核！ 新版本直接支持了 Cursor 的 Composer 模式 ！ 只要接入 X Premium 订阅就能无缝解锁。 这波更新让 Hermes 的编码能力瞬间进化，生产力直接拉满！ 🥳🥳不得不说，老马这波蓝v订阅的含金量又提升了 ！ https://t.co/1yvQlXTaux

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Hermes Agent has a new Blank Slate setup mode. The default Quick/Full setup modes work great for most, but if you would rather build your agent from the ground up you can now start with just a provider, model, file operations, and terminal, then manually add in anything else. https://t.co/EiFm7tW3Ws

Blank Slate mode is now in Hermes Agent. The lightest possible install you can have. https://t.co/4UVZe0A9qi

@aitization Yes, that's why I built an AI to read all the AI people and companies here on X. To help find the interesting stuff: https://t.co/kiuZ7QXLzb

Anthropic's Jack Clark says he underestimated how far AI would improve through scale alone The "bitter lesson" kept proving true: add more compute to generic neural networks, and they keep getting smarter with new abilities "specialized systems and cautious predictions keep losing to scaling"

The left just normalized so much insanity that basic self-preservation now gets called “far right extremism.” Decades of open borders and failed assimilation delivered parallel societies, welfare strain, and crime spikes in city after city. Green fanaticism delivered energy poverty and deindustrialization while virtue signaling. Woke ideology delivered confused kids, erased women, and attacks on national identity. And the result is voters across France, Germany, Italy, Poland, the UK and beyond are backing the parties the media smears as “far right.” Those parties are simply saying what was common sense centrist a generation ago. Secure borders. Citizens first. Affordable energy. Law and order. Protect children. Preserve your culture. The Overton window got dragged so far left that reality, sanity, and common sense now look radical.

BREAKING: JD Vance just admitted the White House plan is to take ownership of every major AI company in America. This is the largest reshaping of American capitalism since the New Deal. And almost no one in finance is talking about it yet. Here's why this is a much bigger story than it sounds: Vance didn't pull this idea out of nowhere. He said it on the latest "The Diary of a CEO" this week: "The president is supportive of the United States owning these big AI companies. He likes the idea as sort of a sovereign wealth fund idea of the United States taking some stake in these AI companies." Read that again. The Vice President of the United States confirmed the administration wants equity in OpenAI, Anthropic, and xAI. Not regulate them. Not tax them. Own them. It gets crazier. The host pointed out that Bernie Sanders wants the public to own 50% of AI companies. Vance's response: "He likes that idea. I don't know that he would say 50% but he does like that idea." And the template already exists: Last August, the Trump administration converted Intel's CHIPS Act grants into equity. The government took a 10% stake. Cost basis: $20.47 per share. Total investment: $8.9 billion. Intel closed Thursday at $133.82. That stake is now worth $67 billion. A $58 billion gain in 10 months. A 650% return. Now they're running it on AI. Let's do the math on what that means: OpenAI is valued at $852 billion. Anthropic is fielding $800 billion bids on the secondary market. xAI merged into SpaceX at $1.25 trillion. SpaceX IPO'd and closed day one near $2.1 trillion. Add Meta AI, Google DeepMind, and the AWS infrastructure layer. You're staring at $5 trillion in AI value openly being considered for partial nationalization. A 10% stake across that universe is $500 billion. Bigger than every hedge fund in America combined. Vance laid out the reasoning himself. The industrial revolution made rich people way richer. Workers stagnated. The political consequences were catastrophic. His exact words: "We're going to wake up and we're going to realize that rich people have gotten way richer." Translation: the White House thinks letting OpenAI and Anthropic compound into multi-trillion dollar monopolies is a political time bomb. Their solution isn't to break them up. It's to own them. This is a completely different relationship between the state and capital than anything Wall Street has modeled. For 40 years, the Republican playbook was simple. Deregulate, cut taxes, let founders capture the upside. What Vance just described is the opposite... The line between US AI policy and US AI ownership disappears. The investors who survive this aren't the ones guessing which lab Washington takes first. They're the ones whose strategy was already running before the headline hit. Rules based. Automated. Indifferent to whatever the Vice President said on a podcast at midnight. That's exactly what Surmount was built for...

Freeing the Law with LOCUS A Local Ordinance Corpus for the United States https://t.co/SmLiqU9Ziy

paper: https://t.co/XTeC0IXcyI

@LLMathematician I used the ZAI api directly https://t.co/WlVTEHU2Jv

1% of people account for 63% of all violent crimes. 0.2% of people ever commit murder, and **67% of all murders**are committed by people with prior arrests You can literally just fix crime by not tolerating people who show a history of being destructive to society. https://t.co/AD0675q5NV

// Evolving Meta-Skill for Multi-Agent Systems // Can a multi-agent system get better at orchestration without touching a single weight? Automatic MAS generation has been stuck between two bad options. Inference-time methods use frozen frontier models but never learn from past runs. Training-time methods learn but are capped by small-model capability. Skill-MAS takes a third path. It treats the orchestration capability as an evolvable Meta-Skill, refined through a closed loop of multi-trajectory rollout and selective reflection that distills experience into strategy-level principles rather than memorized traces. Across four benchmarks and four different LLMs, the evolved Meta-Skills transfer to unseen tasks and other models, because the know-how lives in text at the strategy level, not in any one model's weights. You keep the frontier model and still accumulate experience. Paper: https://t.co/fn4J2Gz33M Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

Great paper, made it available here: https://t.co/pwvKtvpzLq Check how it compares to other text-to-image models at the bottom https://t.co/ODCM9RUMYn