VraserX e/acc
@VraserX • 23,667 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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This is getting insane. 🤯 CrowdStrike’s CEO says AI is now allowing low-skill hackers to pull off cyberattacks that once required nation-state-level resources. All for the cost of a few tokens and a prompt. The barrier to entry is collapsing. And we’re only getting started.
VraserX e/acc75,402 次观看 • 2 天前
Demis Hassabis says today’s AI will look like NOTHING compared to what’s coming in just 1–2 years. And this is coming from the guy running Google DeepMind. We’re arguing over which chatbot is better while the people building the frontier models are already worried about what comes next. The next few years are going to be absolutely insane.
VraserX e/acc121,821 次观看 • 5 天前
Sam Altman is casually dropping absolute bombshells here. OpenAI’s internal models are apparently doing math that public models can’t even come close to. And he’s already talking about putting speed limits on recursive self-improvement because of how dangerous it could get. We’re arguing over chatbot benchmarks while OpenAI might be sitting on something far bigger. What the hell are they cooking behind closed doors? 🔥
VraserX e/acc121,108 次观看 • 5 天前
Bill Gates thinks the next 20 years of AI will be absolute chaos. Robots building our homes, growing our food, performing surgery. Human labor becoming increasingly optional. And he’s right about the biggest danger. It’s not where we end up. It’s who gets left behind on the way there. We could be heading toward the greatest era of abundance in human history, or a dystopia where a handful of people own everything. The technology won’t decide that. We will.
VraserX e/acc19,840 次观看 • 3 天前
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/acc862,999 次观看 • 7 个月前
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/acc630,720 次观看 • 11 个月前
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/acc446,266 次观看 • 11 个月前
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/acc376,623 次观看 • 11 个月前
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/acc255,443 次观看 • 8 个月前
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/acc271,307 次观看 • 9 个月前
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/acc236,016 次观看 • 10 个月前
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/acc167,340 次观看 • 9 个月前
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/acc167,104 次观看 • 10 个月前
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/acc159,298 次观看 • 10 个月前
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 次观看 • 11 个月前
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/acc163,750 次观看 • 11 个月前
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/acc94,588 次观看 • 6 个月前