“I believe that 30 years from now, your kids are probably working three and a half days a week,” said JPMorgan Chase CEO Jamie Dimon. https://t.co/H1G1T5V16B https://t.co/MGzKuRt8NG

The traits that made Steve Jobs "impossible to work with" are the same traits that built Apple. https://t.co/KjKgXTcUH1

The traits that made Steve Jobs "impossible to work with" are the same traits that built Apple. https://t.co/KjKgXTcUH1

“No matter how isolated you are and how lonely you feel, if you do your work truly and conscientiously, unknown friends will come and seek you.” — Carl Jung https://t.co/BR2NBAMBPE

“The best thing a human being can do is to help another human being know more.” — Charlie Munger https://t.co/FGsbU60DVu

Even competitors are joining forces to manage AI risks. Anthropic is working with rivals like Apple and Google on Project Glasswing to test how advanced models can detect and prevent cyber threats. It marks a shift in mindset. When risks scale, collaboration becomes a necessity, not a choice. https://t.co/JTpvTqyMG6 @wired @lilyhnewman

Marc Andreessen says the four most dangerous words in investing are "this time is different." But this time it's actually different. He's referring to the AI boom when he mentioned this. For 80 years, the industry has followed the same pattern. 1) Excitement builds 2) Money pours in 3) The technology fails to deliver 4) The industry collapses. Here are 4 examples of when this happened in AI: • In 1943, the original neural network paper was written. It proved that simple mathematical models of brain cells could perform any logical computation. It was a foundational breakthrough but didn't takeoff. • In 1955, scientists got a grant to spend 10 weeks at Dartmouth and believed they could achieve AGI by the end of the summer. They did not. • In the 1980s, corporations poured over a billion dollars into "expert systems," AI programs designed to replicate the decision-making of human specialists in medicine, finance, and engineering. By 1987, this entire market crashed. • In 2016-17, machine learning hype surged again. It faded quickly. Each time, the technology underdelivered and the money dried up. But here's what really different about this time. AI has made four breakthroughs back to back. 1) Language models 2) Reasoning 3) Coding agents 4) Self-improvement And ALL are generating revenue in production right now. That's why old Nvidia chips are gaining value instead of depreciating. And this has literally never happened in computing before. Every GPU is sold out for the next 3-4 years. He calls betting against this "essentially suicidal" and "an invitation to get your face ripped off." He calls it "an 80-year overnight success." Researchers worked their entire lives on this, and many passed away without seeing it work. Now it is all arriving at once. — Marc Andreessen (@pmarca), co-founder at a16z (@a16z) on the Latent Space podcast (@latentspacepod)

The man who won the Nobel Prize just told the world that AI is not the energy crisis, it is the cure for it. Everyone has been screaming about how much electricity AI consumes, the data centers, the training runs, the billions of queries every single day. Hassabis just said AI will extract 30 to 40 percent more efficiency out of national power grids, grids that, right now, operate at only 30 percent of their total capacity according to Stanford researchers. That means the grids we already built are massively underused, and AI is the key to unlocking what is already there. But that is the smallest part of what he is saying. He is saying AI will crack nuclear fusion, the energy source that has been 30 years away for the last 60 years and DeepMind is already working with Commonwealth Fusion in the US to help AI contain plasma inside fusion reactors. His personal mission is to use AI to discover a room-temperature superconductor, a material that would allow electricity to travel with zero loss, something physics has never been able to deliver. The implications of that alone would reshape the entire global economy overnight. He is also saying AI will design next-generation batteries and build the best climate modeling systems humanity has ever had, using them to figure out exactly where the planet is breaking down. Think about what this means, the thing everyone is blaming for the energy crisis is the same thing being bet on to end it forever.

a bit over 7 days out from the Gemma 4 release and it's models are outpacing (slightly) the equivalent Qwen 3.5 models on downloads. Big numbers! https://t.co/iRs6DJ4fs4

The internet was supposed to connect the world. It connected the infrastructure. The people stayed divided. For thirty years, a Japanese user and an American user existed on the same network and couldn’t understand a single word the other one typed. The information was accessible. The conversation was not. Language was the last wall. And nobody was building a door. X just removed it. Calacanis: “This auto-translate feature has done more for understanding across borders than anything I’ve ever seen.” Grok is integrated directly into the platform. Every post, every reply, every thread. Translated in real time, both directions, automatically. A user in Tokyo writes in Japanese. You read it in English. You reply. They read your response in Japanese. Neither of you switched a setting. Neither of you copied text into a translator. The friction simply doesn’t exist anymore. Calacanis: “People who don’t speak the same language engaging on X in a very nuanced, fun, interesting way. And that, as a truth mechanism, is just absolutely extraordinary.” This has never existed before. Not at this speed. Not at this scale. Not with this level of nuance preserved. Previous translation tools gave you the words. They butchered the tone, the context, the cultural weight behind them. An LLM doesn’t just translate language. It translates intent. Sarcasm. Subtext. The meaning underneath the words. That changes what’s possible on the platform. Americans, Japanese, Israeli, French, Russian, and Middle Eastern users debating, arguing, laughing, and exchanging culture directly. No journalist filtering the message. No editor deciding what’s relevant. No network choosing which perspectives get airtime. Peer to peer. Unmediated. Unfiltered. Calacanis: “Journalists are not even taking the time to translate and cover what’s going on in those areas, and this is happening automatically in real time.” For decades, your understanding of another country was shaped entirely by whichever outlet decided to cover it. If they didn’t translate it, you never saw it. If they did, you saw their version of it. That filter is gone. The raw, unedited perspective of every culture on Earth is now accessible to every other culture on Earth. Instantly. Without permission. Without a middleman. That is what a real town square looks like. Not a platform where people from the same country talk to each other in the same language about the same news cycle. A platform where the entire species can hear each other for the first time. X didn’t just build a social network. It built the first global conversation where language is no longer the barrier to entry. The walls between cultures were never ideological. They were linguistic. The wall is down. And 8 billion people just entered the same room.

Grateful Minimax M2.7 weights are out, but their 6hr-before-release license edit makes the model nearly unusable. A lame non-commercial limitation so broadly defined that you're essentially only allowed to use it for projects given out for free, else need to be granted permission from @MiniMax_AI.

Model Y🌸 https://t.co/XhGyAjQvgs

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Starship and Super Heavy move out to continue preflight testing https://t.co/zYN1fkvNIk

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https://t.co/YSzlmtXCRK

Huh, why is Stephen Miller's wife talking about physical AI companies lol https://t.co/2ZmLMMokLV

did you know that the Codex app shows you PR statuses? i.e. CI checks, PR comments, merge status, review status 👀 https://t.co/saguG9YZ4L

@justanotherlaw My AI finds the good stuff here from AI community. Maybe that will help you see the value: https://t.co/kiuZ7QXLzb

The conversation and learnings don't stop . . . Explore the full playlist of our NVIDIA higher education sessions to gain insights and practical strategies to apply across teaching, learning, and academic innovation today. 📺 Watch #NVIDIAGTC sessions on-demand: https://t.co/eb5B2pdzbL

when spacex was getting started, the first and last men to walk on the moon testified before congress against it. gene cernan told congress commercial space companies "do not yet know what they don't know." he said the boeings and lockheed martins were "the folks who have been working on everything we've done for the last 50 years. they know how it can be done." neil armstrong said he was "not confident" the newcomers could achieve their goals. together with jim lovell they warned it would put america on "a long downward slide to mediocrity." spacex now launches more rockets than every country on earth combined. the experts will always tell you it can't be done. build it anyway!

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One of the xAI API's most underrated features is our Voice API (which includes text-to-speech and voice agents). We're giving all developers access to literally the same tech that powers experiences like Grok in Tesla. https://t.co/ZyX78D2KMP

another one: 800 prs into 930 repos adding minimax support https://t.co/IKyCYnrZMp

Marc Andreessen on why Starlink may be the most misunderstood success story in tech right now: “Elon’s not the first guy who said we’re going to do satellite-based internet access. There was Bill Gates, Craig McCaw. Complete catastrophe, total bankruptcy, complete disaster. Elon’s like, ‘I know, I’m going to do another three of those. We’re starting as a side project at the rocket ship company.’ If the rockets are reusable, we’re going to be launching them all the time. What’s going to go in the rockets? I could wait for the customers to come to me, or I could just put up my own satellites. Anybody who knew anything about the history of satellites knew that was the craziest idea in the world. And of course it’s like this giant success. It’s the side project. It’s clearly the least studied and understood thing I know of in the world right now.”

@Steve_Yegge I have the best lists of tech industry which might help you see more value in X: https://t.co/fasUz7PuHq And I built an AI to read the AI world and tell you what is best: https://t.co/kiuZ7QXLzb

I just learned what a duvet was thanks @interaction https://t.co/xT30rJlDDi

We're delighted to announce that MiniMax M2.7 is now officially open source. With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%). You can find it on Hugging Face now. Enjoy!🤗 huggingface：https://t.co/ApWrahIl3o Blog: https://t.co/gAxeFsNdW4 MiniMax API: https://t.co/1dgbMx0Q7K

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From the appendix of If Anyone Builds It, Everyone Dies:

From the appendix of If Anyone Builds It, Everyone Dies:

i wonder why github is down https://t.co/OoZepy4erQ