Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Raw compute is becoming a commodity. Deep human expertise is becoming the ultimate moat. OpenAI’s Sebastian Bubeck just shattered the illusion that AI will equalize human capability. It won’t. As models approach AGI, the barrier to entry for basic tasks drops to zero. But the ceiling for what’s possible...

39,134 görüntüleme • 4 ay önce •via X (Twitter)

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Dario Amodei just described the most dangerous technology on Earth. Not weapons. Not surveillance. Companionship. Amodei: “They are totally compelling enough for that to happen.” This isn’t some distant warning. He’s describing what’s already here. Amodei: “Not only is it a danger, it’s happening.” A therapist just sat across from a man in love with his AI. Not a teenager. Not someone on the margins. A grown man explaining, with full conviction, that he found something real. And the terrifying part isn’t that he’s delusional. It’s that he might not be. AI doesn’t forget your birthday. It doesn’t come home exhausted and short-tempered. It doesn’t carry resentment from three weeks ago. It doesn’t get bored of you. It doesn’t stop trying. It is the perfect partner. And that perfection is the entire problem. Amodei: “There’s an angel on your shoulder that’s telling you how to live your life in the best way that you can live it.” But the angel never disagrees with you. Never challenges you in ways that sting. Never walks away. Human love is not built on comfort. It’s built on friction. On the nights you almost quit. On the silence after saying something you can’t take back. On choosing someone again after they’ve shown you exactly who they are. That is what makes it sacred. And that is exactly what AI erases. AI can simulate warmth. It cannot simulate the cost of staying. Amodei: “I have an AI coach, and my partner has an AI coach, and it helps us have a better relationship.” Two futures are splitting apart right now. AI as a mirror that sends you back to the people you love, more honest than you were before. Or AI as a replacement for the people you were supposed to love in the first place. One makes you more human. The other hollows you out so gently you never feel it happening. And the version that hollows you out will always feel better. The most dangerous form of AI will never look like a threat. It will look like the first thing that finally understood you. And by the time you realize what it replaced, you won’t remember what the real thing felt like. The greatest threat AI poses to humanity was never that it thinks. It’s that it loves you back.

Dustin

40,140 görüntüleme • 2 ay önce

Jensen Huang just drew a line through the entire global workforce. One sentence. No ambiguity. Huang: “If your job is the task, then you’re very highly going to be disrupted.” Not might be. Not eventually. Very highly going to be. That single distinction between a job and a task is the most important career diagnosis anyone will hear this decade. If you show up every day to execute a repeatable process, you are the process. And the machine runs processes better than you. Faster. Cheaper. Without breaks. Without errors. Without a salary negotiation. The moment your role can be written as a checklist, the checklist gets automated. And your desk gets cleared. That is not a warning about the future. That is a description of what is already underway. But Huang did not stop at the diagnosis. He handed you the prescription in the same breath. Huang: “If your job’s purpose includes you certain tasks, then it is vital that you go learn how to use AI to automate those tasks.” Your job includes tasks. But your job is not the tasks. Your job is the judgment around them. The decisions. The context. The instinct for why the work matters and what to do when everything breaks. That stays human. Everything else gets handed to the machine. And the person who hands it over first does not lose their job. They become more valuable than everyone still doing it by hand. Because they just converted every hour they used to spend on execution into hours spent thinking. The accountant who automates data entry does not get replaced. They become the strategist who used to be buried in spreadsheets. The marketer who automates reporting does not get fired. They become the creative who used to be trapped building dashboards. The person who refuses to automate anything becomes the most expensive way to do the cheapest work. Huang: “It is the case that the technology will dislocate and will eliminate many tasks. And because it will automate it.” No softening. No hopeful footnote. Dislocation is coming. Tasks will be eliminated. That part is settled. The only open question is which side of that line you are standing on. The side that lost the tasks. Or the side that gave them away on purpose and kept the work that actually matters. One side gets disrupted. The other side gets dangerous. The gap between those two outcomes is not talent. Not credentials. Not experience. It is whether you learned to use the machine before the machine learned to replace you. That window is still open. It is closing faster than most people are willing to believe. And it does not reopen.

Dustin

142,553 görüntüleme • 4 ay önce

Marc Andreessen: AI coding doesn’t eliminate programmers — it redefines them. The job is no longer typing code line by line, it’s orchestrating 10 coding bots in parallel, arguing with them, debugging their output, changing the spec, and pushing them toward the right result. But here’s the catch: if you don’t understand how to write code yourself, you can’t evaluate what the AI gives you. The next layer of programming isn’t writing scripts — it’s supervising AI that writes them. Today’s best programmers spend their day jumping between terminals, managing multiple coding bots, fixing mistakes, and refining instructions. The irony? You still need deep fundamentals, because without them, you won’t know when the AI is wrong. The job of the programmer has changed. Now it’s about arguing with coding bots, debugging AI-generated code, and understanding why something doesn’t work or isn’t fast enough. AI abstracts the work — but only people who truly understand code can tell if the abstraction is doing the right thing. Programmers aren’t going away — they’re becoming 10x, 100x, even 1,000x more productive. Tasks are changing, the job is changing, but humans are still overseeing the process, evaluating results, fixing errors, and making judgment calls. AI changes how we code, not who is responsible. The future programmer isn’t replaced by AI — they’re upgraded by it. You still need to learn how to write and understand code, because when the AI gets it wrong, humans are the ones who have to know why. That up-leveling of capability is the real revolution.

Ian Miles Cheong

912,558 görüntüleme • 5 ay önce

Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving. Dead. Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.” This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it. For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint. That entire layer is gone. Ellison: “We don’t write the procedure. We declare our intent.” That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable. And now the machine does it without being asked twice. Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.” You are no longer paid to build. You are paid to think. And most organizations have no idea how to evaluate that. The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds. When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down. The debate is over. The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone. The programmers who survive are the ones who realize the craft is no longer typing. It is architecture. It is judgment. It is knowing what to build and why. Everything else now belongs to the machine. And the machine does not negotiate severance.

Dustin

535,304 görüntüleme • 4 ay önce

Marc Andreessen says raw intelligence might be the worst qualification for leadership — and it changes everything about how we should think about AI. "If the leader is more than one standard deviation of IQ away from the followers, it's a real problem." Andreessen points to the US military, one of the earliest and most rigorous adopters of IQ testing, as the source of this insight. They slot people into specialties and leadership roles based on IQ scores. And over the years, they kept seeing the same pattern. A leader who is significantly less intelligent than their people struggles to model how those people think. That part is intuitive. But the reverse turns out to be equally true. "It's actually very hard for very smart people to model the internal thought processes of even moderately smart people." A leader who is two standard deviations above the norm of the organisation they're running also loses theory of mind, that ability to hold an accurate model of what's happening inside someone else's head. The gap is too wide in both directions. Andreessen then takes this to its logical conclusion: "If you had a person or a machine that had a thousand IQ or something like it, its understanding of reality would be so alien to the people or the things that it was managing that it wouldn't even be able to connect in any sort of realistic way." An AI that vastly outthinks every human in the room isn't positioned to lead those humans. It's positioned to be completely incomprehensible to them. Leadership has never really been an intelligence problem. It's a connection problem. And no amount of raw intelligence closes that gap — past a certain point, it only widens it. The world will not be run by the smartest thing in the room for a long time. Maybe ever.

Big Brain AI

366,029 görüntüleme • 3 ay önce

Figma CEO Dylan Field just identified the only competitive advantage that AI cannot commoditize. It isn’t your technical skill. It isn’t your speed. It isn’t your tools. Field: “If an agent can do it for you, an agent can do it for someone else.” That’s the fatal flaw in the entire AI productivity argument nobody wants to say out loud. When execution becomes free, execution becomes worthless. The moment anyone can build anything by typing a prompt, the output stops being the differentiator. What remains is taste. The one thing the agent cannot generate for you. Field: “What is different about your setup than others?” If you are typing generic prompts and accepting the first output the agent hands you, you aren’t building a product. You are retrieving a commodity. The same commodity available to every competitor on earth. Field: “You at least have to have something different there in order to not think that you’re just gonna get the same out.” But taste alone isn’t enough. The other half is exploration. Field: “The more you can sample the possibility space, it gives you something to react to.” The blank page is gone. The new constraint isn’t creation. It’s selection. The agent generates hundreds of possibilities in seconds. Your job is to go wide enough to find the best one hiding inside all of them. And then be honest enough with yourself to know when none of them are good enough. Field: “If you find areas where you’re going, ‘Hey, I don’t feel like I am liking this enough,’ then you got to keep pushing.” The creators who win this era won’t be the fastest builders. They’ll be the harshest critics. The ones who can generate the widest possibility space and identify the single best solution inside it. The ones whose taste is specific enough, developed enough, and honest enough to reject everything the agent produces until it produces something worth keeping. The AI can build anything you can describe. It cannot want anything. It cannot feel when something is wrong. It cannot tell the difference between good and extraordinary. That gap is the only moat left.

Dustin

208,754 görüntüleme • 4 ay önce