8AI

@chamath @sojoodi So much wisdom, thanks Chamath, completing agree compounding is a by product of clear thought. You hold it in spades ♠️

@tesla_semi Mission accomplished 👏

First Semi off high volume line

@CuriousPejjy @Scobleizer 🚕 🚕 🚕

Tesla Robotaxis are about scale like we've never seen before! I had the pleasure of having @Scobleizer on the podcast discussing how $TSLA's Robotaxi's (& FSD) are coming so close to scale and not just in the U.S. but WORLDWIDE! We also discussed deeply about the Cybercab and how it will NEVER have a steering wheel & pedal when it's time to sell the vehicle. 👀 Many other AI related topics were covered too making this podcast a juicy and well-informed one! This was an awesome podcast and is available for YouTube Members and X subscribers only until Saturday morning! GET YOUR POPCORN READY! youtu.be/gV1LMsgXJWU

@worldnetwork Humanity first..

40 million World app users. 18 million verified humans. 160 countries. Join the real human network and get your proof of human today.

@shaunmmaguire 🎯

Cities don’t fail because of billionaires They fail because of socialists

Three mega-trends. One ticker. $ORBS • AI → @OpenAI (~27% of treasury holdings) • Identity → 283M @worldnetwork $WLD (~21%) • Creator economy → @MrBeast Beast Industries 🔗 8co.holdings

@VraserX Brilliant analysis!

Ilya’s deposition paints a darker picture of Sam Altman than anyone wanted to believe, a 52-page memo accusing him of lying, undermining execs, pitting people against each other. It’s ugly. And yet… without Sam’s defiance of the safety purists, we wouldn’t have reasoning models, GPT-5, or agentic systems in the wild. That’s the maddening paradox of AI’s most powerful company: Sam may bend the truth, but he also bends reality. Ilya may guard the truth, but he slows reality down. OpenAI was born from this collision, vision versus caution, charisma versus conscience. And somewhere between those two forces, the future of intelligence is still trying to decide who to trust.

@Iamhuman_ORBS @OpenAI @worldnetwork @MrBeast $WLD 21% ---> 30%

$ORBS treasury crosses $333M across AI, digital identity, and the creator economy $ORBS portfolio update as of April 28, 2026: - $90M @OpenAI equity (27% of treasury) - 283M $WLD @worldnetwork (21%) - $25M @MrBeast Beast Industries (8%) - 11,068 $ETH - $121M cash 🔗 Press Release: prnewswire.com/in/news-releas…

@SawyerMerritt It's happening.. 😎

This is the second semi truck spotted today full of Cybercabs.

Claude can do CAD now. Damn.

Here's a rough summary of Elon Musk’s 1 hour and 40 minute long testimony today during the OpenAI trial. He will resume his testimony tomorrow. • Argues the case has huge implications: "It is not ok to steal a charity. If the defendants are found not guilty, this case will become caselaw. It’ll give license to looting every charity in America. The consequences of this case go far beyond me or everyone here. The entire foundation of charitable giving in America will be destroyed." • Says OpenAI was founded as a nonprofit, open-source counterweight to Google, focused on AI safety. • Claims the shift to a for-profit structure violated that mission. • Says his AI concerns date back to conversations with Larry Page, who he felt wasn’t taking AI risk seriously. • Elon says he tried to warn Obama about AI, but that Obama felt AI was not good enough (back then) to seem scary smart. "Here we are in 2026, AI is very smart." • Believes AI could surpass human intelligence as soon as next year and poses existential risk in the hands of the wrong people: “If you have someone who’s not very trustworthy in charge of AI, that’s very dangerous for the whole world.” • Elon framed his companies (SpaceX, Neuralink, xAI) as part of a broader mission to protect humanity’s future. • Emphasized OpenAI’s original goal: AI for the good of humanity, not profit-driven control. • Elon's main argument is that OpenAI abandoned its founding principles, and that precedent could reshape both AI governance and charitable trust. • Larry Page refused to speak to Elon Musk again after Elon recruited Ilya Sutskever to join OpenAI. Elon viewed Ilya as the “number one” most valuable member at Google. • Elon thought in the early days, OpenAI's corporate structure would be a nonprofit funded initially with donations, but there could potentially be a parallel for-profit that is owned by the nonprofit and funds the nonprofit: “We (Sam Altman and Elon) were in agreement that OpenAI would be a 501c3 charity. • Elon was not opposed to there being a small for-profit that provided funding to the nonprofit, as long as "the tail didn’t wag the dog." • Elon: “there are very few people who understand venture capital in Silicon Valley like I do."

@sundarpichai • Google 🚀 • protein folding • languages

Hello. How are you? Thank you. I love you. Please. Some of the most frequently translated phrases of the past 20 years! Google Translate began twenty years ago with a mission to help people understand one another, regardless of the language they speak. What started as a small experiment has become a global tool that helps over 1 billion users every month. In that time Translate has evolved from simple pattern matching to true understanding. In 2006, it relied on statistical machine learning to look for patterns in small word clusters. By 2016, we pioneered a shift to neural networks to move beyond literal word-for-word translations, and today we’re using our powerful Gemini models to make Translate even more helpful. We are moving from text to fluid, real-time conversations. With our latest models, you can even use your headphones as a personal interpreter that preserves your original tone and cadence - it’s an amazing experience! One of the interesting things about AI is that as we make progress, we begin to take it for granted. If you met a person who could translate across a hundred languages faster than any human can, you would be so impressed. Today, one product does that for nearly 250 languages, and we kind of just shrug. Being able to say thank you in 250 languages is not something I take for granted. So to the 1 billion who use Google Translate - merci, dhanyavaad, arigatō, gracias, and thank you! Let’s see what the next 20 years will bring.

A teenage prodigy in quantum physics is aiming to tackle one of science’s biggest challenges: human aging. Laurent Simons earned his PhD in quantum physics from the University of Antwerp at just 15. Rather than slowing down, he has already begun a second doctorate, this time focusing on medical science and artificial intelligence. His long-term ambition is to better understand aging and disease, with the hope of helping extend healthy human lifespan. He has described death as a complex “puzzle,” made up of many interconnected pieces across biology, physics, and engineering. His strategy is to study these layers together, using AI to analyze biological systems and identify patterns that would be difficult to detect otherwise. Simons’ academic journey has been unusually fast. He completed high school by age 8, finished a bachelor’s degree at 12, and went on to earn both a master’s and PhD in quantum physics years ahead of typical timelines. His doctoral work explored advanced topics like Bose–Einstein condensates, where atoms behave as a single quantum system at extremely low temperatures. Although highly theoretical, this research underpins technologies such as quantum computing and precision measurement. Now, his focus is shifting toward biology and medicine. In AI-driven healthcare, researchers are already using machine learning to improve early disease detection, model protein structures, and accelerate drug development. In the field of aging, scientists are investigating ways to reduce cellular damage, eliminate dysfunctional cells, and better understand how the body changes over time. However, experts stress that “solving aging” is extraordinarily complex. While lifespan extension has been achieved in simple organisms, applying those findings to humans remains a major scientific hurdle. Simons himself acknowledges that meaningful progress could take decades. Even so, his path reflects a broader trend in science—where breakthroughs are increasingly happening at the intersection of disciplines, and younger researchers are setting ambitious, long-term goals. Learn more: "15-year-old genius sets his sights on solving human immortality." Brighter Side.