Expandeer - on the artists wai to Dubai

#Ai in action - thanks @Heygenai & @HubSpot - send your avatar in @MicrosoftTeams and in the job interview meanwhile you in person are on the beach - #yesiwill

@trajektoriePL @wordreamind okay

Terence Tao proposes what he calls a "Copernican view of intelligence". Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture. Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence. Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.

@Noirchick1 yess

Was this the sexiest scene ever in classic film?

@ipoupyrev @DongLin_ML @PhysicalAI yess

For over two decades building, @DongLin_ML has been building production ML models at Google Brain, DeepMind, and Apple. She recently joined @PhysicalAI as Principal Research Engineer, leading the team building Newton. Dong’s Ph.D. research focused on speech modeling, a field that turns out to be a direct path to Physical AI. In Dong's words: "What fascinated me in speech was the idea that you could compress enormous variability across speakers, accents, and environments into a compact universal representation. Physical AI is ultimately pursuing a similar goal: learning a unified model that can capture the underlying structure of the physical world across many different sensors, systems, and contexts." That's exactly what Newton is built to do; we’re creating a foundation model capable to generalize across assets, environments, and industries without rebuilding from scratch. Welcome, Dong! Read the full Q&A on the Archetype blog: archetypeai.io/blog/archetype…

@r0ck3t23 yess

Ray Kurzweil has made predictions the way other people have opinions. He called the internet explosion before most people had email. He predicted a computer would beat a world chess champion by 2000. It happened in 1997. He is not guessing about the future. He is reading it off a curve the rest of us haven’t learned to see. National Medal of Technology. National Inventors Hall of Fame. Over a decade building AI at Google. He just made a prediction that should restructure every plan you have ever made. Kurzweil: “By around 2032, people who are diligent with their health are going to reach what we call longevity escape velocity.” Six years. Not a century. Not a generation. Six years. Kurzweil: “This is when scientific breakthroughs will add more time to our remaining life expectancy than is going by. So we’ll be going backwards in time as far as our health is concerned.” For every year you live past 2032, science gives you more than a year back. The clock doesn’t slow down. It reverses. Every human who has ever lived has operated under one constraint so absolute it shaped language, religion, economics, and love. Time runs out. That was the deal. Kurzweil is saying the deal is about to change. Kurzweil: “We’ll soon have the ability to rapidly test billions of possible molecular sequences to find cures, ultimately for all diseases.” Billions of molecular combinations tested simultaneously by machines that don’t sleep, don’t fatigue, and don’t wait a decade for funding approvals. The pharmaceutical model was built on a timeline where one drug takes twelve years and two billion dollars to reach a patient. AI compresses that so violently it makes the last century of drug development look like bloodletting. Kurzweil: “So overcoming the limitations of biology is not a new story.” He is right. We have been doing it since the first human sharpened a stone to extend the reach of a fist. But there is a difference between extending biology and rewriting it at the source. Kurzweil: “As we merge with AI in this way, we will become a hybrid species. We’ll still be human, but we’ll be enhanced by AI.” Not replaced. Enhanced. Running on architecture that biology alone could never build. Every system you interact with was designed around the assumption that you die. Insurance. Pensions. Inheritance law. Retirement planning. Career arcs. All of it scaffolded on a biological clock that Kurzweil says is about to stop. When that clock stops, every institution built around its countdown becomes structurally obsolete. Not gradually. Not in theory. Within the professional lifetime of everyone reading this. Kurzweil: “I want to live indefinitely because I want to see my loved ones, and I want to continue working on my creative projects. I don’t see a time when I would not feel that way.” No manifesto about conquering death. No grand vision of transcendence. He wants to keep showing up. For the people he loves. For the work that gives his life shape. The most sophisticated prediction about the future of human biology comes down to the oldest motivation imaginable. He just wants more time with the people who matter. And he has spent his entire career making sure we all get it. The question is not whether 2032 arrives on schedule. The question is what you are doing with the years between now and then. Because if Kurzweil is right, and his track record says you should take that seriously, the people reading this are not at the end of anything. They are standing at the entrance of a life span they were never taught to plan for. And not a single system they inherited was built for what comes next.

@ekenmj @BiancoDavinci oh

@BiancoDavinci "He uses a piping bag to prepare large-scale canvases with precise vertical ridges before painting separate portraits on either side of the narrow ridges."

This is a painting by the Spanish painter Sergi Cadenas. It ages from the angle you look at it.

@BiancoDavinci yess

@sukh_saroy Yes

Holy shit... Google researchers just discovered that AI models are developing multiple personalities inside their own minds. And those personalities argue with each other to solve problems. No one programmed this. It emerged on its own. This just got published in Science, the most prestigious journal on Earth. Here's what they found: ↓

@PeakThinkers_ yess

This 1 hour talk from a 28-year-old Steve Jobs in 1983 predicted the next 50 years of technology. Bookmark this & watch it today. It’ll be the most valuable hour you spend this week.

@NewYorker yess

A cover from 1998, by Harry Bliss.

@muellerberndt yess

Lean what our Universe actually is: A computation (a.k.a. simulation) on a holographic screen. Here's exactly how it works, and the math to prove it. learn.floatingpragma.io/?v10

@Ronycoder yess

Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture on AI careers. It will teach you more about winning in the AI race than all the AI content you’ve scrolled past this year.

@womensart1 yess

Isobelle Ouzman carves intricate 3D illustrations into discarded books found in dumpsters, recycling bins, and local thrift shops #WomensArt #Easter #PaperArtWeek

@danmartell yess

Jack Dorsey just published something that should be required reading for every founder. The premise: the org chart needs to be replaced entirely. And the argument starts 2,000 years ago. For thousands of years, every organization on earth has run on the same logic the Roman Army invented. Small teams report to a leader → Leaders report to managers → Managers report to executives. The whole structure exists for one reason: to route information up and down the chain. That's it. The whole system exists to solve a bandwidth problem. Jack's argument is simple: AI solves it better. Block built what they call a "world model" - a continuously updated picture of everything happening across the company. Every decision. Every customer. Every transaction. Every bottleneck. In real time. No status update needed. No weekly sync. No manager to translate what's happening on the ground into language the executive can understand. When the world model carries the information, you don't need the layers. So they eliminated them. Block now runs on three roles: Individual contributors who build. DRIs who own specific outcomes for a fixed period. Player-coaches who develop people while still doing the work themselves. No middle layer. The system handles coordination. The humans handle the work. I've coached thousands of founders. The number one problem is always the same: information latency. By the time a problem surfaces from your front line to leadership, it's already compounded. By the time a decision travels back down, the damage is done. That lag costs you deals, people, and momentum. And most founders accept it as the price of scale. Block is trying to prove you don't have to anymore. I think they're right. Because the hierarchy was never the point - it was just the best tool we had. The moment something better exists, the layers eventually collapse. This is either the biggest structural shift since the 1850s - or it breaks at scale like everything else before it. Either way - every founder should be asking the same question: how much of your org exists just to route information? If the answer is "most of it" - that's your problem. And your opportunity. -DM

@Ric_RTP yess

The man who INVENTED modern AI just made a billion dollar bet that ChatGPT, Claude, and every AI company on earth is building the wrong technology. Yann LeCun won the Turing Award in 2018 for creating the neural networks that made AI possible. He spent a decade running AI research at Meta. Oversaw the creation of Llama and PyTorch, the tools that half the AI industry runs on. Then he quit. And raised $1.03 billion in a seed round. The LARGEST seed round in European history. $3.5 billion valuation before generating a single dollar of revenue. Bezos wrote the check. So did Nvidia. Samsung. Toyota. Temasek. Eric Schmidt. Mark Cuban. Tim Berners-Lee (the guy who invented the internet). His new company is called AMI Labs. And it's built on one thesis: Every AI company spending billions on large language models is wasting their money. ChatGPT, Claude, Gemini, Grok. They all work the same way. They predict the next word in a sequence. See "the cat sat on the" and predict "mat." Scale that to trillions of words and you get something that sounds intelligent. But LeCun says it doesn't UNDERSTAND anything. It can't reason. It can't plan. It can't predict what happens when you push a glass off a table. A two year old can do that. GPT-5 cannot. That's why AI hallucinates. It doesn't have a model of how the world actually works. It just predicts words. His solution? Something called JEPA. Instead of predicting words, it learns how the PHYSICAL WORLD works. Abstract representations of reality. Not language but physics. Think about what that means. Current AI can write your emails. LeCun's AI could design a car, run a factory, operate a robot, or diagnose a patient without hallucinating and killing someone. The CEO of AMI said it perfectly: "Factories, hospitals, and robots need AI that grasps reality. Predicting tokens doesn't cut it." And here's what's really crazy to me... LeCun isn't some outsider throwing rocks. He literally built the foundations that ChatGPT runs on. He knows exactly how these systems work because he helped create them. And after watching the entire industry sprint in one direction for three years, he raised a billion dollars to run the OPPOSITE way. No product. No revenue. No timeline. Just pure research. He told investors it could take YEARS to produce anything commercial. But they funded it anyway in just four months. Meanwhile OpenAI just raised $120 billion and still can't stop their models from making things up. Anthropic is building AI so dangerous they're afraid to release it. Google is burning billions trying to catch up. And the guy who started it all says they're all solving the wrong problem. Two Turing Award winners raised $2 billion in three weeks betting AGAINST the entire LLM approach. LeCun at AMI. Fei-Fei Li at World Labs. The smartest people in AI are quietly building the exit from the technology everyone else is betting their future on. Either they're wrong and the trillion dollar LLM industry keeps printing. Or they're right and every AI company on earth just built on a foundation that's about to crack.

@NewYorker yess

Jill Lepore examines how the language of constitutionalism has migrated from democratic governance to private A.I. systems, and what it means to entrust machines, and their makers, with the work of moral judgment. newyorkermag.visitlink.me/OwrBOx

@timecaptales yess

By 1968, the psychedelic movement had seeped into every corner of pop culture - music, film, art, and even cartoons. One of the strangest and most delightful examples was “Psychedelic Pink”, the 39th episode of the Pink Panther series.

@FurkanGozukara @WeeklySpectator yess

Absolute bombshell. Data reveals someone made a massive 580 MILLION dollar trade on oil exactly 15 minutes BEFORE Donald Trump posted his tweet about pausing the Iran war. Someone on the inside just made a life changing fortune. The corruption is blatant.

@ipoupyrev @PhysicalAI yess - all the best for new products and software as a service #physicalAI

Excited to share a peek at our new home. 🏠 @PhysicalAI's new office is where the next chapter of Physical AI begins. Grateful for the team that shows up every day to make it real.

@womensart1 yess

'Spring at the Window' by Tetyana Yablonska (1917-2006), Ukrainian painter #WomensArt

#protection Analytical Report: The Market for Passive Protection Systems, Modular Shelters, and Safe Rooms in Ukraine (2024–2026) blog.mehbud.com.ua/en/other/ukrai… #Dubai #Ukraine #sheliters