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By 2050, the morning rush may not disappear. It just gets better tools: robot breakfasts, drone school runs, teleport commutes, hologram workouts, and still one timeless problem: the day always starts too early... #AI

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Tansu Yegen

1,677,498 subscribers

15,001 просмотров • 2 месяцев назад •via X (Twitter)

Наука и технологии#AI
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Humans aren’t getting replaced. Not by AI. Not by machines. Not by anything we build. We made AI. Just like we made everything else that ever mattered. Fire, language, the internet, art, money. None of it exists without people behind it. Tools change, but the ones using them don’t disappear. AI doesn’t believe in anything. It doesn’t take risks. It doesn’t care if it fails. It just runs on what humans give it. Take humans out of the equation and there’s nothing left. We are human. $HumanCoin pyPAunk5JiHjjQfeh19mqfMAFhK4ybXhkEQbeKGpump
1:42

Humans aren’t getting replaced. Not by AI. Not by machines. Not by anything we build. We made AI. Just like we made everything else that ever mattered. Fire, language, the internet, art, money. None of it exists without people behind it. Tools change, but the ones using them don’t disappear. AI doesn’t believe in anything. It doesn’t take risks. It doesn’t care if it fails. It just runs on what humans give it. Take humans out of the equation and there’s nothing left. We are human. $HumanCoin pyPAunk5JiHjjQfeh19mqfMAFhK4ybXhkEQbeKGpump

Frost

27,081 просмотров • 6 месяцев назад

Every day, AI tools are getting better. You will regret not taking advantage of them while you still can. Get up to date. And do it NOW, the clock is ticking.
0:59

Every day, AI tools are getting better. You will regret not taking advantage of them while you still can. Get up to date. And do it NOW, the clock is ticking.

Andrew Tate

590,793 просмотров • 1 год назад

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.
2:32

Jensen Huang says agentic AI is not a chatbot. It is a "digital robot" -- and the next bottleneck is not the model. It is first-person data. "Agentic AI is just a digital robot. It understands, it reasons, it plans, and it acts and uses tools." Then he makes the bigger jump: "The world's video data is from a third person, not first person. And so agentic systems, robotic systems, physical AI -- the data is the hardest problem." That is the hidden constraint in robotics. LLMs got the internet. Physical AI needs demonstrations, synthetic worlds, reinforcement learning, and first-person experience. This is why Jensen keeps calling it a stack: robots are not waiting for one magical model. They need the data engine, the simulator, the reward system, the runtime, and the computer. The next wave of AI is not just software that talks. It is software that sees, plans, acts, and eventually moves through the world.

Karl Mehta

14,140 просмотров • 1 месяц назад

Introducing MARS, the first Personal AI Robot. In technology, getting to the future we want starts with building it together. This is why we designed Mars. Inspired by early PCs, Mars is a powerful, complete, extendable robot. It runs BASIC, an open embodied AI agent we created for you to program with code, demonstrations, and prompts. This allows Mars to perform complex long-horizon tasks involving spatial memory, reasoning, manipulation and navigation. Pre-orders open now ⬇️ Demos & details in the thread
1:10

Introducing MARS, the first Personal AI Robot. In technology, getting to the future we want starts with building it together. This is why we designed Mars. Inspired by early PCs, Mars is a powerful, complete, extendable robot. It runs BASIC, an open embodied AI agent we created for you to program with code, demonstrations, and prompts. This allows Mars to perform complex long-horizon tasks involving spatial memory, reasoning, manipulation and navigation. Pre-orders open now ⬇️ Demos & details in the thread

Axel

314,084 просмотров • 11 месяцев назад

Andrew Ng built agentic knowledge graph that runs agents loops from scratch: his agents searched thousands of tools through the graph, found the "right" one by meaning, and called it agent efficiency increased by 90% here's how: step 1 → embed every tool, search by meaning - not just keywords step 2 → but "similar" ≠ "correct" - it grabs the wrong one, skips the step before it step 3 → map tools as a graph - nodes are tools, edges are what runs before what step 4 → retrieve the path, not one tool - every tool the task needs, in order step 5 → bake the process into the graph - the sequence becomes data, not a guess most agents fail here and no one knows why - 1-hour brilliant course about it watch & bookmark - then read full course about graph engineering ↓
1:04:49

Andrew Ng built agentic knowledge graph that runs agents loops from scratch: his agents searched thousands of tools through the graph, found the "right" one by meaning, and called it agent efficiency increased by 90% here's how: step 1 → embed every tool, search by meaning - not just keywords step 2 → but "similar" ≠ "correct" - it grabs the wrong one, skips the step before it step 3 → map tools as a graph - nodes are tools, edges are what runs before what step 4 → retrieve the path, not one tool - every tool the task needs, in order step 5 → bake the process into the graph - the sequence becomes data, not a guess most agents fail here and no one knows why - 1-hour brilliant course about it watch & bookmark - then read full course about graph engineering ↓

codila

16,276 просмотров • 25 дней назад

Most traders stare at charts all day and still miss the move. Not because they are slow, but because price is never where the story starts. In crypto, the story always starts with people. Real momentum forms on Twitter, Telegram, Discord, and private chats. By the time the chart confirms it, early positioning is already gone. That is the gap most traders never close. That gap is where Fere AI fits into my routine. It is not a trading bot or signal machine. It is a research companion that tracks narratives, social chatter, and sentiment in real time while I focus on thinking. Fere AI♠️ helps me track narratives and sentiments early, so decisions come from clarity, not panic.
2:30

Most traders stare at charts all day and still miss the move. Not because they are slow, but because price is never where the story starts. In crypto, the story always starts with people. Real momentum forms on Twitter, Telegram, Discord, and private chats. By the time the chart confirms it, early positioning is already gone. That is the gap most traders never close. That gap is where Fere AI fits into my routine. It is not a trading bot or signal machine. It is a research companion that tracks narratives, social chatter, and sentiment in real time while I focus on thinking. Fere AI♠️ helps me track narratives and sentiments early, so decisions come from clarity, not panic.

Counselor

10,772 просмотров • 7 месяцев назад

The Economist asks why China and America see AI so differently. The answer is bigger than technology. It is psychology. In China, optimism about AI runs from government policy to companies to ordinary workers. People know disruption is coming. They know jobs will change. They know some industries will disappear. But the instinct is still: build first, adapt fast, solve the problems as they appear. In America, the instinct increasingly runs the other way: fear the disruption, litigate it, regulate it, politicize it, build barriers around it, and then call the barriers “responsible innovation.” The difference is deeper than AI. China still has a strong social belief that technology can make life better and that society can absorb change. America increasingly treats every technological shift as another mechanism through which ordinary people may be abandoned by the system. That is why one society sees robots and asks: “How do we use them?” while the other asks: “Who is going to lose their job?” One is operating from confidence. The other from accumulated distrust. And that matters far more than any benchmark. You cannot lead a technological revolution if your society has already decided that every new technology is another threat waiting to happen. China is not fearless because disruption does not hurt. China is less afraid because it still believes disruption can be survived. America’s real problem is not that it fears AI. It is that too many Americans no longer trust their own system to protect them from the future. The real AI gap may not be compute. It may be confidence in the future.
7:26

The Economist asks why China and America see AI so differently. The answer is bigger than technology. It is psychology. In China, optimism about AI runs from government policy to companies to ordinary workers. People know disruption is coming. They know jobs will change. They know some industries will disappear. But the instinct is still: build first, adapt fast, solve the problems as they appear. In America, the instinct increasingly runs the other way: fear the disruption, litigate it, regulate it, politicize it, build barriers around it, and then call the barriers “responsible innovation.” The difference is deeper than AI. China still has a strong social belief that technology can make life better and that society can absorb change. America increasingly treats every technological shift as another mechanism through which ordinary people may be abandoned by the system. That is why one society sees robots and asks: “How do we use them?” while the other asks: “Who is going to lose their job?” One is operating from confidence. The other from accumulated distrust. And that matters far more than any benchmark. You cannot lead a technological revolution if your society has already decided that every new technology is another threat waiting to happen. China is not fearless because disruption does not hurt. China is less afraid because it still believes disruption can be survived. America’s real problem is not that it fears AI. It is that too many Americans no longer trust their own system to protect them from the future. The real AI gap may not be compute. It may be confidence in the future.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

61,872 просмотров • 5 дней назад

Early morning presses to get super 💪 But that’s not the best part of the vid… watch through and see a little one show you her handstand too 🥰 SHOW your kids that fitness is just part of the day. #FitCheck #fitnessaddict #fitmom
0:37

Early morning presses to get super 💪 But that’s not the best part of the vid… watch through and see a little one show you her handstand too 🥰 SHOW your kids that fitness is just part of the day. #FitCheck #fitnessaddict #fitmom

Fit As A Mama Bear

12,854 просмотров • 3 лет назад

Day 3 of getting back to building my gamified workout tracker. (have some AI features) I just tested both Opus 4.8 and GPT-5.5 for the multilingual feature, and Opus 4.8 is still slightly better. It only needed one prompt to solve it. My apps always supports multiple languages because I target multiple markets and don’t want to depend on just one market. Powered by Opus 4.8, Rork, Cursor
0:20

Day 3 of getting back to building my gamified workout tracker. (have some AI features) I just tested both Opus 4.8 and GPT-5.5 for the multilingual feature, and Opus 4.8 is still slightly better. It only needed one prompt to solve it. My apps always supports multiple languages because I target multiple markets and don’t want to depend on just one market. Powered by Opus 4.8, Rork, Cursor

Alex Nguyen

14,428 просмотров • 1 месяц назад

.Marc Andreessen 🇺🇸 on founders almost always being too early, not too late: "We almost never see a qualified founder fail because they're too late to market. It's almost always because they're too early to market." "The iPad was like this breakthrough product in 2009... well, there was this thing called the Newton twenty years earlier. It was the iPad twenty years earlier, and it was like virtually the same thing, and the world just wasn't ready yet." "I think that's the permanent curse of the entrepreneur." YC Startup School 2016, with Qasar Younis
1:05

.Marc Andreessen 🇺🇸 on founders almost always being too early, not too late: "We almost never see a qualified founder fail because they're too late to market. It's almost always because they're too early to market." "The iPad was like this breakthrough product in 2009... well, there was this thing called the Newton twenty years earlier. It was the iPad twenty years earlier, and it was like virtually the same thing, and the world just wasn't ready yet." "I think that's the permanent curse of the entrepreneur." YC Startup School 2016, with Qasar Younis

a16z

119,123 просмотров • 1 месяц назад

$BTC FOLLOW THE SAME SCRIPT EVERY CYCLE Every. Single. Time. - Minimum 350 days of pain - Bottom doesn't form before MA350 gets touched - Price always falls further than the crowd thinks possible Here's the problem. $BTC is still holding around $80K while the 350-day MA sits near $47K, completely untouched. That gap doesn't stay open. It never has. Everyone is celebrating strength too early. The real flush comes when confidence gets too crowded, and right now the market is acting like the bottom is already in. It's not. When $BTC finally tags the 350-day MA, that's the moment I flip aggressively bullish. Not before. When the next move becomes clear, I’ll post it here first. Turn notifications on. Most people will follow me too late.
0:34

$BTC FOLLOW THE SAME SCRIPT EVERY CYCLE Every. Single. Time. - Minimum 350 days of pain - Bottom doesn't form before MA350 gets touched - Price always falls further than the crowd thinks possible Here's the problem. $BTC is still holding around $80K while the 350-day MA sits near $47K, completely untouched. That gap doesn't stay open. It never has. Everyone is celebrating strength too early. The real flush comes when confidence gets too crowded, and right now the market is acting like the bottom is already in. It's not. When $BTC finally tags the 350-day MA, that's the moment I flip aggressively bullish. Not before. When the next move becomes clear, I’ll post it here first. Turn notifications on. Most people will follow me too late.

Nonzee

53,806 просмотров • 3 месяцев назад

Sam Altman says, "shame on me if OpenAI isn't the first big company run by an AI CEO" Not just a department, eventually the whole org Treats it as a design exercise: start from the idea that "AI runs OpenAI better than me", find roadblocks, and redesign the org to move faster
0:51

Sam Altman says, "shame on me if OpenAI isn't the first big company run by an AI CEO" Not just a department, eventually the whole org Treats it as a design exercise: start from the idea that "AI runs OpenAI better than me", find roadblocks, and redesign the org to move faster

Haider.

209,749 просмотров • 9 месяцев назад

Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!
1:28

Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!

Sir Khaycee

20,419 просмотров • 4 месяцев назад

Just got the Core card from Plasma One. For free 🔥 Core normally runs $120 a year. They're handing it to early OGs at zero cost And the wild part, it pays for itself anyway: - ChatGPT Go included, $100 a year covered - 5% back on AI subs, 3% on everything else - 50% lower FX and offramp fees - Lounge access, global eSIM, 24/7 concierge Still early
0:33

Just got the Core card from Plasma One. For free 🔥 Core normally runs $120 a year. They're handing it to early OGs at zero cost And the wild part, it pays for itself anyway: - ChatGPT Go included, $100 a year covered - 5% back on AI subs, 3% on everything else - 50% lower FX and offramp fees - Lounge access, global eSIM, 24/7 concierge Still early

Nikita

38,451 просмотров • 2 месяцев назад

I used to go to TikTok and get funny videos. I can’t do it anymore. It’s too depressing. It’s just overrun by AI, no way to filter it out, no one ever telling you it’s AI. Go to the comments, just masses of stupid people not suspecting a thing. This is by far the worst social media company. American leaders were right to be suspicious of it, and the administration’s corruption and lawlessness is why it’s still around and being like this.
1:05

I used to go to TikTok and get funny videos. I can’t do it anymore. It’s too depressing. It’s just overrun by AI, no way to filter it out, no one ever telling you it’s AI. Go to the comments, just masses of stupid people not suspecting a thing. This is by far the worst social media company. American leaders were right to be suspicious of it, and the administration’s corruption and lawlessness is why it’s still around and being like this.

Richard Hanania

41,776 просмотров • 5 месяцев назад

Colossus: The Forbin Project (1970) This underrated sci-fi thriller didn’t just imagine AI taking over, it shows exactly how humanity loses control…and never gets it back. Still terrifying on every rewatch. Directed by Joseph Sargent (The Taking of Pelham One Two Three).
4:12

Colossus: The Forbin Project (1970) This underrated sci-fi thriller didn’t just imagine AI taking over, it shows exactly how humanity loses control…and never gets it back. Still terrifying on every rewatch. Directed by Joseph Sargent (The Taking of Pelham One Two Three).

Vashi Nedomansky, ACE

232,307 просмотров • 4 месяцев назад

The BeyHive takes things way too literal. “Beyoncé hates AI.” Do y’all realize AI is in everything? That automated reply from her site and CÉCRED’? Payment processing? That’s AI too. She doesn’t hate AI. She hates a specific type of AI, y’all just grouped them into one. It’s 2025. Hating AI without understanding it isn’t just ironic, it’s costly. Opportunities, jobs, side hustles, content, business tools, they’re all being shaped by AI. If you’re still treating AI like it’s just ChatGPT or robots, you’re playing yourself out of relevance… and income. It’s like hating the internet in 2010. AI won’t replace jobs, it will replace those who don’t know how to use it.
0:35

The BeyHive takes things way too literal. “Beyoncé hates AI.” Do y’all realize AI is in everything? That automated reply from her site and CÉCRED’? Payment processing? That’s AI too. She doesn’t hate AI. She hates a specific type of AI, y’all just grouped them into one. It’s 2025. Hating AI without understanding it isn’t just ironic, it’s costly. Opportunities, jobs, side hustles, content, business tools, they’re all being shaped by AI. If you’re still treating AI like it’s just ChatGPT or robots, you’re playing yourself out of relevance… and income. It’s like hating the internet in 2010. AI won’t replace jobs, it will replace those who don’t know how to use it.

IChooseViolence

419,696 просмотров • 1 год назад

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch
24:21

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

GREG ISENBERG

436,482 просмотров • 5 месяцев назад

Most players think they’re behind at fourteen. They look sideways at teammates. Parents compare timelines. Coaches start labeling. And suddenly development feels like a race instead of a process. At that age, growth is uneven by design. One player matures early and dominates physically. Another is still waiting for their body to catch up. One gets attention. The other starts questioning everything. That’s where anxiety enters. When you believe you’re behind, you train differently. You rush decisions. You chase shortcuts. You measure yourself against timelines that were never yours. And that’s how development gets distorted. Fourteen isn’t the finish line. It’s the foundation. Bodies change at different speeds. Confidence fluctuates. Game understanding matures later than most people expect. Early dominance rarely predicts long careers. The players who last don’t necessarily peak early. They build steadily. They develop skills that survive growth. They refine decisions that improve with time. They build habits that compound. Being early is different from being ready. I’ve seen players overlooked at fourteen become world-class professionals. I’ve seen early standouts disappear by eighteen. Time doesn’t reward urgency. It rewards patience layered with consistent work. If you feel behind, you’re probably just early. And early isn’t a problem. It’s potential. That’s the arc. #beastmodesoccer
1:45

Most players think they’re behind at fourteen. They look sideways at teammates. Parents compare timelines. Coaches start labeling. And suddenly development feels like a race instead of a process. At that age, growth is uneven by design. One player matures early and dominates physically. Another is still waiting for their body to catch up. One gets attention. The other starts questioning everything. That’s where anxiety enters. When you believe you’re behind, you train differently. You rush decisions. You chase shortcuts. You measure yourself against timelines that were never yours. And that’s how development gets distorted. Fourteen isn’t the finish line. It’s the foundation. Bodies change at different speeds. Confidence fluctuates. Game understanding matures later than most people expect. Early dominance rarely predicts long careers. The players who last don’t necessarily peak early. They build steadily. They develop skills that survive growth. They refine decisions that improve with time. They build habits that compound. Being early is different from being ready. I’ve seen players overlooked at fourteen become world-class professionals. I’ve seen early standouts disappear by eighteen. Time doesn’t reward urgency. It rewards patience layered with consistent work. If you feel behind, you’re probably just early. And early isn’t a problem. It’s potential. That’s the arc. #beastmodesoccer

David Copeland Smith

15,964 просмотров • 5 месяцев назад

Security robot rolls up like it owns the place… then gets absolutely cooked by the oldest trick in the book 😂 Robot’s all serious. Guy just casually steps into its blind spot, and the robot completely loses him like a confused Roomba. All that fancy tech, sensors, and cameras… and one dude trolls him. This is why I’m not trusting robots with anything important yet.😏 Credit: @that_azst_dude on IG
1:09

Security robot rolls up like it owns the place… then gets absolutely cooked by the oldest trick in the book 😂 Robot’s all serious. Guy just casually steps into its blind spot, and the robot completely loses him like a confused Roomba. All that fancy tech, sensors, and cameras… and one dude trolls him. This is why I’m not trusting robots with anything important yet.😏 Credit: @that_azst_dude on IG

Desiree

72,701 просмотров • 4 месяцев назад