Jose Abreu

Elon Musk's first wife once described what it's like to watch him fail. She said he doesn't react the way normal people react. When a rocket explodes, most people in the room go silent. Some cry. Some start calculating the financial damage. Musk pulls out his phone and starts making calls. Not emotional calls. Engineering calls. "What failed. When can we fix it. When's the next launch." His voice doesn't change. His face doesn't change. The rocket that just cost $60 million is already in the past. The next one is all that exists. She said it was the most unsettling thing she'd ever witnessed. Not because he was cold. Because he genuinely wasn't affected. The failure didn't register as failure. It registered as data. An experiment that produced results. Results that inform the next experiment. This is why he wins. Not because he doesn't fail. He fails more spectacularly than anyone in history. He wins because failure occupies zero psychological space. It enters as data and exits as action. Most people lose not because they fail but because they spend weeks processing the failure before acting again. Musk spends zero seconds. The gap between failure and next attempt is a phone call.

it’s in gemini, just create it in ai studio. oh, that’s for your personal google one account. for workspace you need gemini business. no, not gemini advanced, that’s ai pro now. unless you need ai ultra. oh agents? you do that in spark actually. no, not gemini api managed agents, that’s different. for coding use jules. unless you mean the agentic ide, that’s antigravity. no, that’s the old antigravity, download the new one. actually gemini cli is being deprecated, use antigravity cli. no the flash model is smarter than the pro model. unless you need pro. if it’s video, use flow. no, flow uses veo. no, nano banana is images. actually that’s in gemini now. unless you’re in search, then it’s ai mode. no, research is notebooklm. anyway it’s all very simple.

ADHD: The “Quick Online Purchase” 8:00 PM — I need a new pillow. 8:09 PM — I’m comparing memory foam densities. 8:44 PM — A Reddit thread convinces me cooling gel is a scam invented by Big Bedding. 9:30 PM — I’m researching sleep posture across different civilizations. 10:15 PM — Ancient Egyptians apparently used wooden headrests. Horrifying. 11:02 PM — I take a sleep quality quiz with 73 questions. 11:48 PM — I decide I can survive with my current pillow a little longer.

Elon Musk just defended America better than every politician in Washington combined. Musk: “After World War 2, the US could have basically taken over the world and any country. Like we got nukes, nobody else got nukes. We don’t even have to lose soldiers. Which country do you want?” One nation on earth held a weapon nobody else had. Total dominance. Zero competition. No risk of retaliation. Every empire in history that held that kind of advantage used it. Rome. The Mongols. The British. The Ottomans. They conquered until they collapsed. America had a bigger advantage than all of them combined. And it rebuilt the countries it just defeated. Musk: “The United States actually helped rebuild countries. So it helped rebuild Europe, it helped rebuild Japan. This is very unusual behavior, almost unprecedented.” Almost unprecedented? It had never happened before. Not once in 5,000 years of recorded history. The Marshall Plan wasn’t foreign aid. It was the most radical act of restraint any superpower ever committed. America turned its enemies into allies. Turned rubble into economies. Turned surrender into partnership. Germany went from ashes to the economic engine of Europe in a generation. Japan went from unconditional surrender to the third largest economy on earth. Three years after the war, America was flying food into Berlin. A city in the heart of the nation that just tried to destroy it. That’s not policy. That’s a civilization deciding what it is at the exact moment it has the power to be anything. You’re being told a story right now. That America is the villain of history. You hear it everywhere. Media. Universities. Social platforms. Musk: “There’s always like, well America’s done bad things. Well of course America’s done bad things, but one needs to look at the whole track record.” Every nation on earth has dark chapters. Every single one. The difference is what a country does when nobody can stop it. And when nobody could stop America, it fed its enemies and rebuilt their cities. Musk: “The history of China suggests that China is not acquisitive. Meaning they’re not going to go out and invade a whole bunch of countries.” Probably right. China has historically built walls, not fleets. But the real question isn’t about borders anymore. We’re approaching a moment that mirrors 1945 in ways nobody has fully processed yet. AI is going to give a handful of people a power advantage that makes nuclear monopoly look quaint. If someone is going to hold that kind of power, who do you want it to be? The country that conquered when it could? Or the one that rebuilt when it didn’t have to? Every alliance. Every trade route. Every economy. Billions lifted out of poverty. All of it traces back to one act of restraint that had never been done before. And carries no guarantee of being repeated. The most powerful thing America ever did wasn’t building the bomb. It was what it didn’t do after.

@elonmusk -Mothers who raise children, support partners and contribute to Society -Value added as opposed to assets as goal -Strategically designed taxes as opposed to monetary expansion hurting the weakest members of society to fund colletive needs -Projects

@AnthropicAI When using Claude via voice, Claude appears to hear its own text-to-speech responses as if they were user inputs, creating confusion in the conversation flow. This has been happening consistently and doesn’t seem to be widely reported.

New show "CIA" on Paramount. First episode is already all about Venezuela and Tren de Aragua

You actually need to be unemployed to catch up with AI No jokes

AI is already filtering resumes. Why aren’t we just implementing detailed resume.md files instead of pretending this is still a human driven process?

Elon Musk said the biggest mistake he ever made in hiring was overweighting intelligence. The man who built a neural network that learned physics from 9 billion miles of driving data. Who taped out AI5 on April 15. Who runs the Colossus supercluster training a 1 trillion parameter model. Who is building Terafab to produce 1 terawatt per year of AI compute. That man looked into the camera and said: “I think goodness of heart is important. I underweighted that at one point.” Now look at what his own machines just did to the argument for pure intellect. Frontier AI models scored above 94 percent on GPQA Diamond in April 2026. This is a PhD-expert-level science benchmark so hard that questions are only included if non-expert PhDs with internet access and 30 minutes cannot answer them. Human domain experts score 65 percent. Some re-benchmarks pushed that to 69.7. The machines beat the smartest humans alive by over 24 points on questions designed to require deep doctoral expertise. Intelligence is being commoditized in real time. Not in theory. In reproducible benchmark scores that improve with every training run. Grok 4.3 is finishing its 1 trillion parameter checkpoint this week. Claude scores 94.2. Gemini 94.1. The cost of PhD-level reasoning is collapsing toward the price of an API call. Musk saw this before the benchmarks confirmed it. His hiring process at Tesla and xAI now requires no resume and no cover letter. Three bullet points describing the toughest technical problems you have ever solved. A 20-minute conversation where, as he put it, “if the conversation is not wow, believe the conversation, not the paper.” And then the filter that cannot be faked: talent, drive, trustworthiness, and goodness of heart. He called those traits “fundamental” and “unchangeable.” This is not soft management philosophy. This is resource allocation under scarcity. When cognitive ability was scarce and expensive, you optimized hiring for IQ. You hired the credential. The degree. The prestige signal. The college wage premium held at 62 percent because intelligence was hard to find and impossible to replicate at scale. That constraint just broke. An API call costing cents now outperforms a PhD on the hardest science questions humanity has ever constructed. The 62 percent wage premium has stagnated for two decades while AI capabilities doubled annually. The crossover is not coming. It arrived. So what is still scarce? Not computation. Terafab will produce that at planetary scale. Not knowledge. Every frontier model contains more factual information than any human who has ever lived. Not reasoning. GPQA Diamond proved that. What is scarce is the thing Musk identified: whether someone will do the right thing when nobody is watching, when the deadline is impossible, when the shortcut is invisible, and when the cost of integrity is personal. That cannot be trained into a neural network. It cannot be fine-tuned. It cannot be distilled from data. It emerges from a life lived with a specific set of values that no architecture can replicate. The man building infinite intelligence just told you the only thing it cannot produce. Character is the last advantage that cannot be automated. And the person who understands that best is the one making intelligence cheapest.

Every website you’ve ever used is broken in a way you never noticed and it’s been this way for 30 years... A Midjourney engineer finally just fixed it. It’s called Pretext: A tiny library that lets websites lay out text the way magazines and newspapers do, with text flowing around images, wrapping into columns, and fitting perfectly into any shape, all at 120fps. This has been basically impossible on the web for 30 years. Every website you’ve ever used relies on the same clunky system from the 90s to figure out where text goes on screen. Pretext bypasses it entirely. 500x faster. The demos look like they shouldn’t be possible in a browser. Go look.

Andrew Yang explains why lawyers will be replaced by AI “The first thing that jumped into my mind when you said that was lawyer. Law school applications, last I checked, went up 21% last year, and I would suggest that was a flight to safety, and that stuff’s not safe at all. Lawyering is highly structured. It’s very process oriented. It’s kind of the ideal environment for AI” “I have friends who are partners in law firms who say, ‘Look, I’m giving AI work that would have taken a second or third year associate a week to complete, and it gives it back to me in 20 minutes. So why on earth would I hire a small army of these associates?’”

me: buys a mac mini and installs openclaw to improve quality of life also me: debugging every day, running on 4 hours of sleep for months, $1000/mo in API bills, and 69 productivity apps with $0 in revenue

This is real explanation

Buy shit from your friends businesses and try and get free shit from strangers. Not the other way around.

What if a codebase was actually stored in Postgres and agents directly modified files by reading/writing to the DB? Code velocity has increased 3-5x. This will undoubtedly continue. PR review has already become a bottleneck for high output teams. Codebase checked-out on filesystem seems like a terrible primitive when you have 10-100-1000 agents writing code. Code is now high velocity data and should be modeled at such. Bare minimum, we need write-level atomicity and better coordination across agents, better synchronization primitives for subscribing to codebase state changes and real-time time file-level code lint/fmt/review. The current ~20 year old paradigm of git checkout/branch/push/pr/review/rebase ended Jan 2026. We need an entirely new foundational system for writing code if we’re really going to keep pace with scale laws.

Anthropic CEO: “AI will wipe out 50% of lawyers, consultants, and finance professionals within the next 12 months” x.com/theUMreal/stat…

This story is actually insane: • dude drops $2000 on a DJI robot vacuum like a lunatic • refuses to use the normal app like a peasant • Sammy Azdoufal fires up Claude to crack the API so he can drive it with an xbox controller • Claude delivers the goods • pulls an auth token from their servers, connects successfully • except the system thinks he controls 7000 vacuums • checks again • yep, seven thousand • DJI built authentication with zero device ownership verification • any valid token works for any unit on the planet • Sammy now has eyes inside homes across 24 countries • live vacuum camera feeds everywhere • full floor plans from the mapping data • some guy in germany eating cereal at 3am, unaware his roomba is snitching • one API call away from being the most informed burglar in history • all he wanted was to steer his vacuum with a joystick • does the right thing and reports it • DJI fixes it in two days • back to normal life with his stupidly expensive floor cleaner • IoT companies stay undefeated at shipping garbage security

The tech career is just about keeping all your technical paths open. because at any point you might have to pivot.

the industrial revolution didn't happen overnight ai adoption will take time, since optimal workflow discovery is part of the equation