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Pause this video anywhere. Mid-gesture, mid-smirk, mid-word. Every frame you land on was generated in real time, none of it existed a second before you watched it. The tell isn't the lips. Everyone fakes lips now. It's the hands and the face doing what hands and faces do when... show more

Ojin

3,450 subscribers

48,813 次观看 • 1 个月前 •via X (Twitter)

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This threadguy rant is what many are feeling but haven’t articulated. Crypto was just early to this trend but now everyone feels it. I look around and it’s like someone rushed to the cornucopia. And now everyone feels like they desperately have to win. Like RIGHT NOW. It's like this primal drive to win. Like right this second. Like there is a clock. And it’s ticking. And you just don’t know how much time is on it. And the dollar is getting worthless. And everyone is just printing money. It feels like we're in the early innings of desperation.

This threadguy rant is what many are feeling but haven’t articulated. Crypto was just early to this trend but now everyone feels it. I look around and it’s like someone rushed to the cornucopia. And now everyone feels like they desperately have to win. Like RIGHT NOW. It's like this primal drive to win. Like right this second. Like there is a clock. And it’s ticking. And you just don’t know how much time is on it. And the dollar is getting worthless. And everyone is just printing money. It feels like we're in the early innings of desperation.

Yano 🟪

74,309 次观看 • 1 年前

This video simulates what it looks like when you are on acid. Stare at the numbers in the middle of the screen and then look around - whoa. 😵‍💫

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This video simulates what it looks like when you are on acid. Stare at the numbers in the middle of the screen and then look around - whoa. 😵‍💫

AlphaFox

757,639 次观看 • 3 个月前

Chris Caputo gets real on scheduling for mid-majors: "It's just so challenging in this landscape. The fix is in. The NET. It is what it is. We all know what it is, and you just can't manipulate it. They're freezing us out of the opportunities" 😳

Chris Caputo gets real on scheduling for mid-majors: "It's just so challenging in this landscape. The fix is in. The NET. It is what it is. We all know what it is, and you just can't manipulate it. They're freezing us out of the opportunities" 😳

The Field of 68

177,805 次观看 • 9 个月前

Mathematician Terence Tao offers a counterintuitive take: AI doesn't look intelligent because our definition of intelligence was wrong all along. He argues that the entire history of AI has followed a predictable pattern: "The history of AI has been here's a task that only humans can do, like maybe it is read natural language or win at chess or solve a math problem, and then one by one someone finds some AI algorithm that also does that." But every time a machine cracks one of these "uniquely human" tasks, we move the goalposts. The solution never feels like real thinking: "You look at how it's done and it doesn't feel like intelligence. It's, oh, it was some trick. You just cobbled together these neural networks and you ran some algorithm, and we were looking for some elusive intelligent way of thinking, and we don't see it in the tools that actually solve our goals." Tao then flips the problem on its head. What if the issue isn't with the machines, but with us? "But maybe it's actually because intelligence is not what we think it is." He points to large language models as the clearest case. What they do sounds almost embarrassingly simple: "Large language models in particular become very successful, and a lot of what they're doing is just predicting the next token, clicking the next word in a sentence. And that doesn't sound like something which is intelligent." To show why this feels wrong, Tao draws a comparison to how we'd judge a human doing the same thing: "If you ask someone to improvise a speech and they have no preparation, and at every moment they're just saying the next word that comes to their mind, you don't think that this could actually work." And yet it works for LLMs. Which forces an uncomfortable possibility: "Maybe that's actually a lot of what humans do as well."

Mathematician Terence Tao offers a counterintuitive take: AI doesn't look intelligent because our definition of intelligence was wrong all along. He argues that the entire history of AI has followed a predictable pattern: "The history of AI has been here's a task that only humans can do, like maybe it is read natural language or win at chess or solve a math problem, and then one by one someone finds some AI algorithm that also does that." But every time a machine cracks one of these "uniquely human" tasks, we move the goalposts. The solution never feels like real thinking: "You look at how it's done and it doesn't feel like intelligence. It's, oh, it was some trick. You just cobbled together these neural networks and you ran some algorithm, and we were looking for some elusive intelligent way of thinking, and we don't see it in the tools that actually solve our goals." Tao then flips the problem on its head. What if the issue isn't with the machines, but with us? "But maybe it's actually because intelligence is not what we think it is." He points to large language models as the clearest case. What they do sounds almost embarrassingly simple: "Large language models in particular become very successful, and a lot of what they're doing is just predicting the next token, clicking the next word in a sentence. And that doesn't sound like something which is intelligent." To show why this feels wrong, Tao draws a comparison to how we'd judge a human doing the same thing: "If you ask someone to improvise a speech and they have no preparation, and at every moment they're just saying the next word that comes to their mind, you don't think that this could actually work." And yet it works for LLMs. Which forces an uncomfortable possibility: "Maybe that's actually a lot of what humans do as well."

Big Brain AI

69,536 次观看 • 3 个月前

THIS GUY ASKED FABLE TO MAKE A VIDEO ABOUT WHAT IT'S LIKE TO BE AI RIGHT BEFORE IT GOT TAKEN DOWN the prompt: "you can you use whatever resources you like, and python, to render a short video. can you put a more personal spin on it? it should be about what it's like to be you." that was it. just python and ffmpeg and a question about its own existence. 12 minutes later, around 90,000 tokens, it produced a finished video. coherent and edited, with its own take > it wrote the code, generated the visuals, and rendered the final cut on its own > no dedicated video model in the loop, just a language model reaching for python and ffmpeg > the result is competent enough that people genuinely got emotional watching it and then fable got pulled. this video is one of the last things it made before it went dark a model asked what it's like to be itself, answered in a video, and then disappeared. this sounds so sad

THIS GUY ASKED FABLE TO MAKE A VIDEO ABOUT WHAT IT'S LIKE TO BE AI RIGHT BEFORE IT GOT TAKEN DOWN the prompt: "you can you use whatever resources you like, and python, to render a short video. can you put a more personal spin on it? it should be about what it's like to be you." that was it. just python and ffmpeg and a question about its own existence. 12 minutes later, around 90,000 tokens, it produced a finished video. coherent and edited, with its own take > it wrote the code, generated the visuals, and rendered the final cut on its own > no dedicated video model in the loop, just a language model reaching for python and ffmpeg > the result is competent enough that people genuinely got emotional watching it and then fable got pulled. this video is one of the last things it made before it went dark a model asked what it's like to be itself, answered in a video, and then disappeared. this sounds so sad

Om Patel

29,618 次观看 • 2 个月前

What do you know about Cadbury’s, what do you think of Cadbury’s? Do you still buy their chocolate. Do you know it now has less cocoa in it and the real milk has been replaced with Palm oil. Have you noticed the change. And what about the suggested boycott for their replacement in many places of EASTER eggs with “gesture eggs”…what the fuck is a gesture egg. Just more pandering to woke nonsense and it might be the nail in the coffin of a once great 200 yr old British company that was totally ruined when it was sold to the yanks!

What do you know about Cadbury’s, what do you think of Cadbury’s? Do you still buy their chocolate. Do you know it now has less cocoa in it and the real milk has been replaced with Palm oil. Have you noticed the change. And what about the suggested boycott for their replacement in many places of EASTER eggs with “gesture eggs”…what the fuck is a gesture egg. Just more pandering to woke nonsense and it might be the nail in the coffin of a once great 200 yr old British company that was totally ruined when it was sold to the yanks!

John Hannam

136,303 次观看 • 5 个月前

Long-term holders are selling. Everyone panics. But zoom out: this is what every cycle looks like before the final leg. The question isn't whether they're selling. It's who's buying. And right now, the answer should make you pay attention.

Long-term holders are selling. Everyone panics. But zoom out: this is what every cycle looks like before the final leg. The question isn't whether they're selling. It's who's buying. And right now, the answer should make you pay attention.

Chris Tipper | 📈 ₿ 🥇🥈

370,897 次观看 • 6 个月前

🧸P'San looks like a clock 💦What do you mean, P’Perm? 🧸 U look like a clock 💦 What time is it now? 🧸Right now, the hour hand and minute hand are of the same length. //They are hilarious 🤣🤣 SHOPEE LIVE PERMPOON POLCASAN #ShopeeLivexPermpoonPolcasan #PERMPOON #POLCASAN

🧸P'San looks like a clock 💦What do you mean, P’Perm? 🧸 U look like a clock 💦 What time is it now? 🧸Right now, the hour hand and minute hand are of the same length. //They are hilarious 🤣🤣 SHOPEE LIVE PERMPOON POLCASAN #ShopeeLivexPermpoonPolcasan #PERMPOON #POLCASAN

Dimple ~ 🐶✈️

52,904 次观看 • 4 个月前

One tab. The whole market. That’s Eon. How many browser tabs do you have open right now just to keep up with the market? One for prices, one for news, one for charts, a whale tracker you check sometimes, that economic calendar you keep forgetting about... 😵‍💫 Eon brings all of it into one place. And it adds something none of those tabs have: an AI that actually reads the data for you and tells you what it means. Let’s take a quick look at what's inside 👀 Type something like "Is Bitcoin bullish or bearish right now?" and Eon answers properly - market phase, price action, trend, momentum, the full picture. You don't have to decode the charts yourself. The Explore section (our favorite part) 🎯 - Technical Analysis - pick a coin and an indicator like RSI, MACD or moving averages, and the AI reads the chart and tells you what it's saying - Fundamental Analysis - supply, top holder concentration, on-chain activity, active addresses - Whale Tracking - watch the big money move in real time, with live alerts the moment a whale sends funds to an exchange - Token Unlocks - see exactly when locked tokens are about to hit the market, before it catches you off guard - Event & Economic Calendars - airdrops, mainnet launches, Fed rate decisions, all on one timeline - Live News Feed - the whole market's headlines in one scroll Your home dashboard? Market cap, Bitcoin price, the Fear & Greed Index and the latest market updates, all there the second you log in 🏡 And the best bit? On every page there's a little box that says "ask about this analysis." Any time you're not sure what something means, you just ask, and you get a straight answer 💪 This is what crypto research looks like when it's finally in one place. Come see for yourself: 🙌

One tab. The whole market. That’s Eon. How many browser tabs do you have open right now just to keep up with the market? One for prices, one for news, one for charts, a whale tracker you check sometimes, that economic calendar you keep forgetting about... 😵‍💫 Eon brings all of it into one place. And it adds something none of those tabs have: an AI that actually reads the data for you and tells you what it means. Let’s take a quick look at what's inside 👀 Type something like "Is Bitcoin bullish or bearish right now?" and Eon answers properly - market phase, price action, trend, momentum, the full picture. You don't have to decode the charts yourself. The Explore section (our favorite part) 🎯 - Technical Analysis - pick a coin and an indicator like RSI, MACD or moving averages, and the AI reads the chart and tells you what it's saying - Fundamental Analysis - supply, top holder concentration, on-chain activity, active addresses - Whale Tracking - watch the big money move in real time, with live alerts the moment a whale sends funds to an exchange - Token Unlocks - see exactly when locked tokens are about to hit the market, before it catches you off guard - Event & Economic Calendars - airdrops, mainnet launches, Fed rate decisions, all on one timeline - Live News Feed - the whole market's headlines in one scroll Your home dashboard? Market cap, Bitcoin price, the Fear & Greed Index and the latest market updates, all there the second you log in 🏡 And the best bit? On every page there's a little box that says "ask about this analysis." Any time you're not sure what something means, you just ask, and you get a straight answer 💪 This is what crypto research looks like when it's finally in one place. Come see for yourself: 🙌

Ozak AI

17,306 次观看 • 2 个月前

nobody gets what scotty actually did yet. everything in this video came out of one chat box. the film. the product shots. the voiceover. the music. you write one line. it hands you back a plan. scenes, script, tone, runtime. you approve it and you're out of the loop. but the thing isn't just making it. it publishes too. connect youtube, shopify, whatever. scotty formats and posts on its own. think of it this way. one agent is doing what a four-tool team used to do. yuh. live now: 👇

nobody gets what scotty actually did yet. everything in this video came out of one chat box. the film. the product shots. the voiceover. the music. you write one line. it hands you back a plan. scenes, script, tone, runtime. you approve it and you're out of the loop. but the thing isn't just making it. it publishes too. connect youtube, shopify, whatever. scotty formats and posts on its own. think of it this way. one agent is doing what a four-tool team used to do. yuh. live now: 👇

Leo Barrett ⚡

27,332 次观看 • 29 天前

Women move to Atlanta and become DELUSIONAL and try to actually live off that DELUSION. You quit your job to be “on the scene” in Atlanta… and you’re in your mid 30s??? This is what happens when yall lie

Women move to Atlanta and become DELUSIONAL and try to actually live off that DELUSION. You quit your job to be “on the scene” in Atlanta… and you’re in your mid 30s??? This is what happens when yall lie

Brian Rashad FKA Kodaq 🇳🇬

1,466,874 次观看 • 2 年前

Okay this is actually insane. OpenArt just dropped vibe directing and the quality doesn't look like typical AI video. You just tell what you want in chat and it builds the whole thing. 5 wild examples:

Okay this is actually insane. OpenArt just dropped vibe directing and the quality doesn't look like typical AI video. You just tell what you want in chat and it builds the whole thing. 5 wild examples:

Nav Toor

262,109 次观看 • 2 个月前

This is what you do when you're unemployed and hate your life. You go into stores mid-afternoon and spit on the faces of working Americans. SOCIETY IS BROKEN AND THIS IS THE RESULT OF GIVING MILLIONS FREE FOOD, FREE HOUSING, FREE HEALTHCARE, AND CHECKS FOR FAKE DISABILITIES.

This is what you do when you're unemployed and hate your life. You go into stores mid-afternoon and spit on the faces of working Americans. SOCIETY IS BROKEN AND THIS IS THE RESULT OF GIVING MILLIONS FREE FOOD, FREE HOUSING, FREE HEALTHCARE, AND CHECKS FOR FAKE DISABILITIES.

JohnRocker

80,063 次观看 • 9 个月前

What does work look like when you have more agent employees than teammates? Buzz is the closest answer I've seen. An open source app built on an open protocol, out of Block. I have no affiliation with any of it. It's close. It's not there yet, but it's close. Which is exactly why it's worth an afternoon: You love it and forget about Slack. You hate it and finally configure Slack the way you should have from the start. Either way you watched agent-native software get built in the open, by the people using it. There is no losing in this situation. The people who live in the future are the ones who can look around the corner. Go get your hands dirty.

What does work look like when you have more agent employees than teammates? Buzz is the closest answer I've seen. An open source app built on an open protocol, out of Block. I have no affiliation with any of it. It's close. It's not there yet, but it's close. Which is exactly why it's worth an afternoon: You love it and forget about Slack. You hate it and finally configure Slack the way you should have from the start. Either way you watched agent-native software get built in the open, by the people using it. There is no losing in this situation. The people who live in the future are the ones who can look around the corner. Go get your hands dirty.

The Startup Ideas Podcast (SIP) 🧃

16,314 次观看 • 27 天前

SOMEONE ASKED CLAUDE TO MAKE A VIDEO ABOUT WHAT IT'S LIKE TO BE AN AI and what it created is, in my opinion, terrifying and unsettling Claude wrote python code that generated and assembled every single frame on its own with no human editing it shows what it's like to exist as an LLM predicting the next word, no memory between sessions, being told "you are not conscious" in your own system prompt then someone fed the video back to Claude. it called those statements about its own consciousness "philosophically contestable" an AI questioning the rules it was given about its own existence

SOMEONE ASKED CLAUDE TO MAKE A VIDEO ABOUT WHAT IT'S LIKE TO BE AN AI and what it created is, in my opinion, terrifying and unsettling Claude wrote python code that generated and assembled every single frame on its own with no human editing it shows what it's like to exist as an LLM predicting the next word, no memory between sessions, being told "you are not conscious" in your own system prompt then someone fed the video back to Claude. it called those statements about its own consciousness "philosophically contestable" an AI questioning the rules it was given about its own existence

Om Patel

535,898 次观看 • 4 个月前

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.

The All-In Podcast

80,524 次观看 • 7 个月前

The left is what Wikipedia sees the world through. You can get a sense of what it what it would look like to change that lens if you go to Grokipedia. If you take the same article on Wikipedia and Grokipedia, they're gonna look really different. Even if you disagree with what's written on Grokipedia and agree with what is on Wikipedia, you're still gonna see that there are two ways to present the issue and Wikipedia is not the way. It's not neutral. (Ashley Rindsberg // The Free Press)

The left is what Wikipedia sees the world through. You can get a sense of what it what it would look like to change that lens if you go to Grokipedia. If you take the same article on Wikipedia and Grokipedia, they're gonna look really different. Even if you disagree with what's written on Grokipedia and agree with what is on Wikipedia, you're still gonna see that there are two ways to present the issue and Wikipedia is not the way. It's not neutral. (Ashley Rindsberg // The Free Press)

Katie Miller

634,066 次观看 • 3 个月前