VraserX e/acc
@VraserX • 21,947 subscribers
Teacher by heart, AI enthusiast by curiosity, passionate about inspiring minds, exploring tech, and making learning exciting, human, and future-focused!
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We might have just witnessed the first real mind upload. 🤯 Scientists scanned a fruit fly brain neuron by neuron, synapse by synapse, recreated it digitally, and placed it inside a simulated body. The fly walked. Groomed. Fed. No training. No prompts. No learning phase. The behavior was already in the wiring. That’s not just neuroscience anymore. That’s the first glimpse of digital minds.
VraserX e/acc860,706 views • 2 months ago
Jeff Bezos just explained the “AI bubble” better than anyone. At Italian Tech Week 2025, Bezos didn’t deny the hype, he embraced it. “Yes, there’s a bubble. But AI is real and it’s going to transform every single industry.” He called it an industrial bubble, not a financial one. That’s a crucial difference: •A financial bubble (like 2008) destroys value and leaves nothing behind. •An industrial bubble (like AI, the internet, or fiber optics) creates massive value, even if investors get crushed. “Even when those companies went bankrupt, the fiber stayed in the ground. Society got the infrastructure. That’s what we’ll see with AI.” Bezos says right now we’re in the “chaotic, beautiful” phase of overfunding, where every wild idea gets money. Investors can’t tell the good ideas from the bad ones. But that’s exactly how big shifts happen. He compared it to Amazon’s early days: “Our stock went from $113 to $6, while every internal metric improved. The market and the reality had completely diverged.” His point: bubbles distort prices, not progress. AI valuations might crash, but the technology won’t. “This is not a mirage. This is a horizontal technology, like electricity and it will touch everything.” Bezos isn’t predicting an apocalypse. He’s predicting a reset, where the hype burns off, and the real builders remain. AI isn’t a bubble, it’s a boom disguised as one.
VraserX e/acc630,105 views • 7 months ago
I love this take. Elon Musk looks at aging like an engineer, not like a mystic. Exactly the same mindset as Aubrey de Grey. Core ideas that really hit: •Aging is not chaos. The whole body degrades in sync, so there must be a central mechanism. •If everything decays together, there is a biological clock or program behind it. •Programs can be rewritten. Aging is not destiny, it is code. •Other species already solved it. Whales reach 200 years, Greenland sharks up to 500. •That means it is not magic. It is biology and engineering. What I truly hope: •That Elon uses his capital, influence, and engineering culture to seriously push aging research. •If not full lifespan extension, then at least curing age related diseases. •Cancer, neurodegeneration, cardiovascular decay should be optional, not inevitable. If aging is engineered, it can be reverse engineered. That idea alone changes everything.
VraserX e/acc391,297 views • 4 months ago
Bezos is right. We didn’t invent transformers. We discovered an algorithm that grows neural nets so complex we can’t fully explain how they think. It feels less like coding and more like uncovering a second kind of brain, built from math instead of cells. Human intelligence was evolution’s discovery. Transformers might be ours.
VraserX e/acc446,179 views • 6 months ago
I completely agree with Sam Altman; within 2 to 3 years, most knowledge work won’t be about doing the work anymore. It will be about directing AI agents. The real skill will shift from execution to orchestration. Knowing what to ask. Structuring problems clearly. Making high-leverage decisions while fleets of agents handle the heavy lifting. Managers of intelligence instead of producers of output.
VraserX e/acc254,904 views • 3 months ago
Elon Predicts Universal High Income and Social Unrest. And It Terrifies Me. Elon Musk wasn’t being edgy here. He was being honest. And honestly, it scared me to no end because I think he’s right. The transition to a post-labor, post-scarcity society will likely be the hardest thing humanity has ever tried to survive. Not because of money. Because of psychology, meaning, and speed. Elon basically says it straight up: we will get Universal High Income and social unrest at the same time. There is no smooth ramp. The change will be so fast that people will be scared out of their minds. When AI does everything better, your job does not just disappear economically, it disappears existentially. And that is the real bomb. Work has been our primary source of meaning for centuries. Remove it overnight and you do not get instant enlightenment. You get confusion, anger, nihilism, and backlash. Peter Diamandis brings up Wall-E for a reason. A life without challenge sounds nice until you realize challenge is what gives life texture. I still want this future. I just think we are wildly underestimating how brutal the transition will be. Post-labor is not a policy problem. It is the biggest meaning crisis in human history. And we are walking straight into it.
VraserX e/acc271,024 views • 4 months ago
Hinton, the godfather of AI, said it best: we built the learning algorithms, but we no longer understand what they’ve built. That’s the paradox of deep learning. We designed the rules for how these systems learn, yet the internal logic of their neural networks has become too complex for us to fully grasp. Millions or even trillions of parameters interact in ways no human can trace. We can observe what they do, we can measure accuracy, behavior, and output but not truly explain why they do it. Their reasoning isn’t transparent; it’s emergent. In a sense, we’ve created alien intelligences born from our math, still tethered to our code yet evolving patterns we can’t decode. The machines are doing something beyond our comprehension and that might be both the most exciting and the most unsettling thing about the age of AI.
VraserX e/acc376,342 views • 7 months ago
This is probably the most interesting way to talk about post labor society: show a normal guy living inside it. This is Eli in 2039, walking through Aurora asking real sounding people what the transition from labor to post labor life felt like. Here is the 2 minute future vlog.
VraserX e/acc94,318 views • 1 month ago
The Laptop Test. Why most remote jobs will disappear within 10 years. Insights from an interview with Shane Legg, cofounder of Google DeepMind. A short clip, but it lands like a brick. Legg lays out a framework that quietly nukes a huge chunk of today’s job market. •The Laptop Test If your job can be done fully remote with just a laptop, screen, and internet, it’s pure cognitive labor. No physical presence. No embodiment. That is exactly the domain advanced AI will dominate. Conclusion: most remote, computer-only jobs are on a countdown. •Yes, humans still matter but less than we think Some digital work survives because people follow people. Influencers, creators, personalities. The value isn’t the task, it’s the human behind it. But that’s the exception, not the rule. •Experts are behind the curve Legg points out something uncomfortable: many academics and professionals seriously underestimate AGI. They judge AI by outdated capabilities, not by where it is actually heading. The pace of progress is faster than their mental models. •Why “normal people” often get it first Non-experts look at AI and think: it writes better, knows more, speaks more languages, solves more problems than I do. Why wouldn’t it replace jobs? Experts, meanwhile, assume their niche is too special. That belief is often more ego than evidence. Bottom line: If your income depends on work that lives entirely on a screen, you are not competing with AI yet, but you are on borrowed time. The question is no longer if, but how society adapts when this becomes obvious.
VraserX e/acc235,920 views • 5 months ago
This Sam Altman story is chilling. He says the current AI moment feels like the final night before the world realized COVID would change everything. A few people saw what was coming. Everyone else kept partying. That is exactly what AI feels like now. We are not waiting for the disruption. We are living in the last moments before everyone notices it.
VraserX e/acc81,902 views • 1 month ago
Sam Altman is right. The rate of technological progress beyond 2035 is indescribable. We’re leaving the realm of “human-scale change” and entering exponential time, where AI can solve tasks stretching into centuries, then millennia, then millions of years. Trying to imagine 2045 or 2050 with today’s mental models is like a caveman trying to picture the internet. The real question isn’t what AI will achieve, it’s whether humanity can adapt fast enough to a future where the unimaginable becomes routine.
VraserX e/acc337,501 views • 8 months ago
Demis Hassabis, CEO of Google DeepMind, drops a quiet bombshell: The big question isn’t whether AI can solve problems. It’s whether AI can invent new science. Right now, it can’t. Not because of compute. Not because of data. But because it lacks something fundamental: A world model. Today’s LLMs can generate brilliant text, images, even code. But they don’t truly understand causality. They don’t know why A leads to B. They just predict patterns. Hassabis argues that real scientific discovery requires more: – Long-term planning – Stronger reasoning – And an internal model of how the world works Physics. Biology. Cause and effect. Only then can an AI run its own thought experiments. Only then do we get a true digital scientist.
VraserX e/acc167,016 views • 4 months ago
Larry Ellison basically explained why OpenAI is positioned to win the AI race. Today’s models all trained on the same thing: public data. The internet. Books. Papers. General knowledge. Impressive, but capped. Ellison’s point: peak value only comes when AI is trained on private data. That’s where OpenAI is moving: • partnerships with universities to work with unpublished research • experts teaching models real job tasks, not just theory • deep access to how science, medicine, law, and finance actually work Public data makes AI smart. Private data makes it decisive. The next AI leap won’t come from reading more of the internet. It’ll come from being invited behind the curtain. That’s the real moat.
VraserX e/acc167,033 views • 5 months ago
Sam Altman’s napkin math on the Big Technology Podcast is wild, not because it’s precise, but because it finally makes the scale visible. • One AI company generating ~10 trillion tokens every single day • That is comparable to the combined daily language output of all 8 billion humans • Not a future scenario. This is already happening • Now imagine that number multiplying by 10, then 100 • Billions of years of human-style cognition, compressed into days This is not about chatbots. This is planetary-scale thinking spinning up faster than biology can even react. Once you see the scale, “slow progress” becomes an impossible argument.
VraserX e/acc158,816 views • 5 months ago
Sundar Pichai just dropped a surprisingly candid look into Google DeepMind’s current AI heartbeat. Here’s the essence of the clip: • Google is now operating on a steady six month cadence, pushing the frontier twice a year • Sundar openly admits that meaningful leaps are getting harder • Gemini 2.5 Pro was already a beast, so improving on it is no small task • Developers love the Flash models because they scale efficiently for millions of users • Sundar is genuinely excited about Gemini 3.0 Flash and even hints it might be their best model yet • While the public focuses on current releases, internal teams are already pre training the next generation • This culture of relentless innovation is pushing the entire stack toward major breakthroughs heading into 2026 It really feels like we’re watching the early stages of a world where AI takes over more and more of the work so humans can focus on… well, living.
VraserX e/acc162,001 views • 6 months ago
Sam Altman looked visibly annoyed today after Brad Gerstner asked how OpenAI plans to generate enough revenue to cover their massive 1.4 trillion dollar compute build-out. And honestly, I get Sam’s frustration. ChatGPT already has 800 million weekly users. The Sora app will blow up the moment it goes worldwide. Monetizing this isn’t rocket science when you’re building platforms that people use every single day. ChatGPT for shopping is a brilliant start. OpenAI gets a cut. Sora will have ads. Enterprise adoption is accelerating fast, and it’ll skyrocket once AI agents become more reliable. Put all of this together and it’s not just realistic but inevitable that OpenAI will generate hundreds of billions in revenue by 2030. Maybe far more.
VraserX e/acc163,692 views • 6 months ago
The Future Just Shifted. Are You Ready for This? Sundar Pichai’s new interview lands like a wake-up call. This isn’t a tech upgrade. It’s a civilization-level shift. Core idea AI isn’t just another tool. It’s the most profound technology we’ve ever built, and it’s about to rewrite how creativity, work and opportunity function. Key points from Pichai • Creativity gets democratized A single high school student will soon be able to create a feature-length film with AI. The barrier to professional creativity collapses. Ideas become the new currency. • Jobs won’t disappear, they’ll transform The real divide won’t be job titles. It’ll be those who use AI versus those who don’t. The AI-powered version of you will outperform the non-AI version every single time. • Advice for parents Don’t change your child’s passion. Medicine, teaching, art, engineering, all of it still matters. What matters more is embracing AI as part of the craft. • The big takeaway This is a shift toward a world where human intention matters more than human labor. Exactly the direction a post-scarcity, AI-supercharged future has been pointing to for years.
VraserX e/acc132,249 views • 6 months ago
Anthropic mocking OpenAI over potential ads is rich. You don’t finance trillions in compute with subscriptions and API fees. The math simply doesn’t work. The second Anthropic goes public and feels shareholder pressure, ads will magically become “strategic.” 🤣
VraserX e/acc81,818 views • 3 months ago