Elon Musk came within one launch of permanent erasure. It is easy to worship the victories. Comfortable to admire the rockets landing and the stock price climbing. But the real story lives in the wreckage. The year most people never talk about. 2008. He was 37 years old and watching everything collapse at once. Three rockets had exploded into the ocean. Three violent reminders that physics does not negotiate. Tesla was hemorrhaging tens of millions a month. The American economy was in freefall. His marriage was ending. His personal fortune was gone. Musk: “In debt. More than broke.” This is the exact moment where every conventional founder in history walks away. You take the loss. You protect what little dignity remains. You tell yourself you tried. Musk did the opposite. He took every remaining dollar he had on earth and split it between two companies the entire world had already buried. Not a calculated bet. A final stand. Musk: “A fourth failure would have been absolutely game over. Done. SpaceX bankrupt.” There was no Flight Five. There was no backup plan. There was no safety net waiting beneath the man who built rockets for a living. He knew that. He launched anyway. It worked. Flawless. Three days later, NASA called with a $1.5 billion contract. Musk couldn’t hold the phone steady. He just blurted out, “I love you guys.” Two days after that, Christmas Eve, Tesla’s investors came through. Three days. Two miracles. One man who simply would not stop. People call it luck. They say the stars aligned. The lesson is not motivational. It is mechanical. The stars did not align. He held on long enough for the universe to run out of ways to kill him. That is not luck. That is a form of willpower that does not have a name yet. Consider what we almost lost. No reusable rockets. No commercial space industry. No electric vehicle revolution. No Starlink bringing connectivity to war zones and disaster sites and forgotten corners of the planet. All of it. Three days from gone. Not delayed. Deleted. We will not see this again. The specific combination of technical depth, tolerance for pain, and willingness to risk total annihilation for the future of the species does not arrive assembled in one person twice in a century. He is alive. He is still building. Still walking through fire that would have ended anyone else long ago. And the only question left is why the world keeps trying to stop the one man who refused to stop for it.

After Apple, Steve Jobs Built NeXT with Unreal Ambition. https://t.co/DGuW1lraCu

Meta Superintelligence Labs just released its first model, Muse Spark, after Mark Zuckerberg waged a months-long talent war to staff the unit. https://t.co/HoQVpneYss

“Investment banking profession will Sell Sh*t as long as Sh*t can be Sold.” - Charlie Munger. 2021 https://t.co/gCtFdNv1kt

“Investment banking profession will Sell Sh*t as long as Sh*t can be Sold.” - Charlie Munger. 2021 https://t.co/gCtFdNv1kt

New feature: make page shorter. Button at top. https://t.co/kiuZ7QXLzb

I Need some help in person Send me a Pinterest board and a photo of your own apartment to apply. https://t.co/rF2IaNIYlH

I Need some help in person Send me a Pinterest board and a photo of your own apartment to apply. https://t.co/rF2IaNIYlH

600 miles in with FSD v14.3 already and here are my thoughts: The improved reaction time is immediately noticeable and definitely quicker than a human could react. Yesterday a semi truck swerved fast into my lane and the car reacted insanely quickly to get me around them. Tesla says it’s 20% quicker but feels more than that- and it was already extremely good. I’ll start by saying FSD was already so great with v14.2 that it’s sometimes hard to find new things, but there some huge apparent changes immediately noticeable with v14.3. To those who think it’s not a big improvement over v14.2.x+, you’ll be very impressed and especially with some more polish. The reinforcement learning upgrades and thinking are noticeable. Parking is where you immediately notice some changes. In the release notes it says that parking is quicker and more decisive and it’s true. It has picked spots closer and quicker to the selected pin. My Y isn’t showing the new P pin graphic for parking pin for some reason, but it’s definitely parking closer than before with more thought to it. Looking forward to eventually getting more options to hopefully park either closer or further away from people. For the very first v14.3+ build, I have to say it’s pretty polished. The only gripe I have is the way it won’t get out of the left lane soon enough on highways. It likes to cruise in the left lane which isn’t ideal, it’s gotten better but the addition of reduction in unnecessary lane changes needs to be dialed back a bit. Lane changes are a huge plus with this build and they are quick, decisive and executed very well, smooth as butter too. Turn signals come on at way better times now in parking lots and at the perfect time on the road. I was lucky enough to get the update with 600 miles left of my 1800 mile Oregon road trip, so I pulled over to install it so I could get as much experience as possible with it to share with you all. So far 600+ miles in, I’m impressed. A few rough edges with the left lane behavior and the last few inches of parking are a bit slow 1/5 times until it puts it into park but with a point release update everything should be dialed in. The 350 mile drive home today from the Bay Area had zero intervention including all parking and charging. One thing I would love to see implemented is a reset button for the FSD stats page. Would be cool to have a specific trip meter for FSD stats on Trip A/B or make your own trip. I’ve been hinting at a pretty cool road trip next month with my 2025 Model 3 so it would be cool to have a reset for that. Speed control seems good on highways, it’s matching traffic speed great. Braking is very impressive for sudden slowdowns, had a big one in San Jose last night it did a great job with from 80-10mph. HUGE improvements with stop sign behavior. The acceleration and deceleration are way smoother than before, much more pleasant. Mad Max takes off strong but again, a better curve than before. Mad Max is also polished a bit and feels great. FSD v14.3 did a great job in LA traffic once I got back and will go out this evening to film videos for everyone on my normal test loops. Let me know if there’s anything specific I should try or check out. Can’t wait to see how v14.3+ progresses especially with the upgraded reasoning coming to all scenarios soon. Some awesome additions here. THANK YOU everyone @Tesla_AI for all the hard work getting this update out. More videos to come.

@roikfbuwgc254 No way... Are you telling me this is what the Japanese see when looking at torii gates? 💀 https://t.co/J0cQR9fRvk

Me and my team just reached a significant milestone by completing our project with with Japan’s Ministry of Internal Affairs and Communications, where we developed a completely unique system for visualizing, detecting, and countering online disinformation. Disinformation often begins subtly, from seemingly harmless AI-generated cat videos, but can escalate into extensive propaganda campaigns, eventually fueling large-scale conflicts such as those witnessed in Ukraine and elsewhere around the globe. As the digital landscape evolves rapidly, it’s crucial that we continually innovate and advance new technologies to effectively navigate and combat this challenging reality.

Warren Buffett: "I sold [Apple] too soon. But I bought it even sooner, so it worked out. I think we've made over $100 billion in that pre-tax." "I don't have any ability to predict what stocks will do next week or next month." "Apple is still our largest single investment." https://t.co/jnFMJAymI0

Most insurers think they’re getting ready for AI. They’re not. They’re preparing for a version of AI that improves yesterday’s operating model, not one that reshapes tomorrow’s business. That’s the mistake. The real shift in insurance is not about layering AI onto existing workflows. It’s about redesigning the firm around autonomous decision-making. Around a new operating model. Around what we call becoming a Frontier Firm. After two years of research across global insurance markets, one thing is clear: the leaders are not pulling ahead because they bought more tools. They’re pulling ahead because they are making five strategic shifts that change how the business operates, decides, and scales. This is not a technology conversation. It is a leadership conversation. In less than three weeks, I’ll be at @SASsoftware Innovate in Grapevine, Texas, co-leading a Frontier Firms Roundtable with @FJManchester. We’re bringing together 20 senior insurance leaders to tackle a question the industry can no longer afford to dodge: what does it actually take to move beyond AI hype and build an insurer designed to lead in the age of autonomous decision-making? We’ll unpack: 📍 What the five dimensions of a Frontier Firm actually are 📍 How leading insurers are separating themselves globally 📍 Why so many AI strategies in insurance are focused on the wrong problem Because the real question is not whether agentic AI will reshape insurance. It will. The real question is which firms will redesign themselves to lead that transformation, and which will still be explaining their pilot strategy in 2028. I’ll be sharing insights along the way. Join us in Grapevine, Texas, for the discussion: https://t.co/xknvEzGZ0e What is the one question about AI in insurance you wish someone would finally answer?

“Capitalism is not perfect, but if you look at where America was in 1776 and now, it’s absolutely a miracle.” - Warren Buffett. 2019 https://t.co/TvWjn1C8rH

Labor is approximately 60 percent of the $110 trillion global economy. AI agents are targeting the knowledge worker portion - roughly two-thirds of that labor pool. Partner content with @Siemens. #sie_us #HM26 https://t.co/bCLAtzbrho

Steve Jobs gives the best explanation of the computer you'll ever hear. https://t.co/2kYVk7GGuE

Steve Jobs gives the best explanation of the computer you'll ever hear. https://t.co/2kYVk7GGuE

OpenClaw 2026.4.9 🦞 🧠 Dreaming: REM backfill + diary timeline UI 🔐 SSRF + node exec injection hardening 🔬 Character-vibes QA evals 📱 Android pairing overhaul your agent now dreams about you. romantic or terrifying? yes. 🦞https://t.co/PzQw0AK9vn

Introducing SuperCmd — Open-Source alternative to Raycast Pro + WisprFlow + Speechify We are launching on Product Hunt Today 🚀 Leave an upvote - https://t.co/R3tQnHb1Ao Download: https://t.co/6TPURZdDuQ GitHub: https://t.co/HpA0vQDtvw https://t.co/pmMq2aKIyC

AGIBOT just dropped Genie Sim 3.0 🤖 @AGIBOTofficial is turning embodied AI into a full stack: environment → data → training → evaluation, all in one system. Text → fully interactive 3D worlds in minutes, with aligned RGB, depth, and LiDAR. Built-in benchmarks across instruction following, spatial reasoning, manipulation, robustness, and sim-to-real — designed to actually measure what matters in deployment. Deep RL integration (RLinf), 1000Hz physics, massive parallel simulation, and Gym-compatible pipelines. This is the real play: scaling data, standardizing evaluation, and closing the loop between simulation and real-world robots. Embodied AI isn’t just about better models anymore — it’s about infrastructure that can actually scale.

@sundarpichai @abidlabs #1 trending on @huggingface (+ many variants in the top 10). Fantastic contribution! https://t.co/6qBSEd04N4

Air-conditioned lawnmower, 1961 https://t.co/H0yurnYYxo

“MMIWG2SLGBTQQIA+” The Canadian government just dropped this absolute monstrosity (and no, it isn’t satire). https://t.co/xY9R2W4kVz

@StephenM @DouglasCarswell The parasitic suicidal empathy of socialism/communism: https://t.co/MyiE7bjYGx

@alexandr_wang For the chatbot? Can't do much that is valuable without some sort of thinking trace or ability to see code it writes. Web searches are very shallow and then the model tends to just throw back the answers it finds as gospel. Also a lot of defensiveness around its hallucinations. https://t.co/3W9oYM1UC9

+4 more

So here are Iran’s peace terms, published in the Wall Street Journal. Non-aggression guarantee. Control of the Strait. Uranium enrichment rights. All sanctions lifted. UN resolutions scrapped. IAEA resolutions scrapped. Compensation payments for war damage. US forces out of the region. And a ceasefire covering Israel and Hezbollah as a bonus. Iran entered this war with none of that. Iran is leaving with all of it. Meanwhile the United States got a two-week trial of a strait that was already open. Masterclass, they said. Gandalv / @Microinteracti1

What if AI could invent enzymes that nature hasn’t seen? 👩‍🔬🧑‍🔬 Introducing 🪩 DISCO: Diffusion for Sequence-structure CO-design 14 rounds of directed evolution and over a year of wet lab work. That's what it took to engineer an enzyme for selective C(sp³)–H insertion, one of the most challenging transformations in organic chemistry. DISCO surpasses this with a single plate. No pre-specified catalytic residues, no template, no theozyme, no inverse folding, just joint diffusion over protein sequence and structure. 📝 Blog: https://t.co/j9Za0JigfO 📄 Paper: https://t.co/ficrYNBBrM 💻 Code: https://t.co/p81sSwoaPH

Steven Sinofsky on why it's hard for AI to diffuse through firms: "Algorithmic thinking is really, really, really hard for the vast majority of people who have jobs… If you were to go into any person and ask them to create a flow chart for a particular thing that they have to go do, they would probably fail at producing that flow chart." "So within any organization, say doing a marketing plan… one person probably understands and could document the flow chart. So if you put one of these agents or this coworking tool in front of people… their ability to explain to it what to do is really, really limited." "You're basically just developing the next abstraction layer for how people interact… at each level of the abstraction layer, [it's] been a highly skilled, very specific individual within an organization… and then the little parts they build become little toollets… and some people can stitch together and some can't." @stevesi

New Skill: Email Emulation Test magic links, verification codes w/o sending real emails → Send via the Resend SDK → Retrieve emails from a local inbox → Extract codes to complete auth flows → One env var to reroute traffic npx skills add vercel-labs/emulate --skill resend https://t.co/BEVpuXrJeJ

We want to hear your #OpenSource story! 📖 Submit a talk for #KubeCon + #CloudNativeCon + #OpenInfraSummit + #PyTorchCon China. Topics: #Kubernetes, #ML systems, #PyTorch, security & more. 📍 Shanghai | 8-9 Sept 📣 Submit by 3 May: https://t.co/PKdf9djzqR https://t.co/xTlxzD8T5B

The MedGemma 1.5 technical report is out 👇 https://t.co/iPfbejjpH2 https://t.co/COljMa06Nd

The MedGemma 1.5 technical report is out 👇 https://t.co/iPfbejjpH2 https://t.co/COljMa06Nd