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Most people use AI when they're at their desk. Perplexity Computer works while you sleep. Things I have running on autopilot RIGHT NOW: → Daily SEO audit — lands in my inbox at 7am → Competitor pricing monitor — alerts me when anything changes → Morning market brief —...

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Ayzaa

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28,710 просмотров • 4 месяцев назад •via X (Twitter)

ОбразованиеНаука и технологии
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Running operations used to take me 10+ hours/week. Now it takes 30 minutes. Here’s what changed: → I stopped using AI as a chatbot → I started using Perplexity Computer as a system In one workflow, it: • Reads my Slack updates • Checks my calendar • Pulls data from sheets • Generates a full weekly report • Summarizes key decisions • Flags risks automatically No switching tools. No manual work. This is the shift most people are missing: AI isn’t for asking questions anymore. It’s for executing workflows. If you’re still “chatting” with AI… you’re already behind. see what you’ve been missing—start now, explore key features in minutes, and feel the difference . Try it now:
0:21

Running operations used to take me 10+ hours/week. Now it takes 30 minutes. Here’s what changed: → I stopped using AI as a chatbot → I started using Perplexity Computer as a system In one workflow, it: • Reads my Slack updates • Checks my calendar • Pulls data from sheets • Generates a full weekly report • Summarizes key decisions • Flags risks automatically No switching tools. No manual work. This is the shift most people are missing: AI isn’t for asking questions anymore. It’s for executing workflows. If you’re still “chatting” with AI… you’re already behind. see what you’ve been missing—start now, explore key features in minutes, and feel the difference . Try it now:

Aryan Rakib

39,084 просмотров • 4 месяцев назад

Google’s GEMINI 3.5 Flash is now plugged into the stock market It is beating GPT-5.5 & Claude on agentic benchmarks 4x the speed. Half the cost I asked it to track Leopold Aschenbrenner's portfolio, monitor new 13F activities & alert me when it finds real entries on the names he holds Built in under 90secs from one prompt. Now it runs on autopilot: - pulls the filings/data - reconstructs the AI infrastructure basket - tracks live price action, EMAs, RSI, news, and X sentiment - flags new buys, exits, and position changes - scores potential entries - alerts me when a stock hits an actionable level
0:51

Google’s GEMINI 3.5 Flash is now plugged into the stock market It is beating GPT-5.5 & Claude on agentic benchmarks 4x the speed. Half the cost I asked it to track Leopold Aschenbrenner's portfolio, monitor new 13F activities & alert me when it finds real entries on the names he holds Built in under 90secs from one prompt. Now it runs on autopilot: - pulls the filings/data - reconstructs the AI infrastructure basket - tracks live price action, EMAs, RSI, news, and X sentiment - flags new buys, exits, and position changes - scores potential entries - alerts me when a stock hits an actionable level

Wall St Engine

31,371 просмотров • 3 месяцев назад

A simple CNC machine. Wood. A rotating tool. And yet the pattern shifts from circles to perfect hexagons with a level of accuracy most factories still struggle to hit. I worked five years in manufacturing at Siemens, and this is the part people often overlook. The real magic is not new or loud. It is stability. Repeatability. Tool paths that were tuned forever. Precision that just keeps working. Robotics is in a hype cycle right now, but manufacturing has delivered quiet perfection long before anyone talked about foundation models. Sometimes the most interesting engineering is the part that does not ask for attention. —- Weekly robotics and AI insights. Subscribe free:
0:26

A simple CNC machine. Wood. A rotating tool. And yet the pattern shifts from circles to perfect hexagons with a level of accuracy most factories still struggle to hit. I worked five years in manufacturing at Siemens, and this is the part people often overlook. The real magic is not new or loud. It is stability. Repeatability. Tool paths that were tuned forever. Precision that just keeps working. Robotics is in a hype cycle right now, but manufacturing has delivered quiet perfection long before anyone talked about foundation models. Sometimes the most interesting engineering is the part that does not ask for attention. —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

164,829 просмотров • 9 месяцев назад

Jensen Huang: “There’s hard work, and then there’s insanely hard work.” Jensen offers a glimpse into his schedule and what “insanely hard work” looks like: “I work every day. There’s not a day that goes by that I don’t work. And if I’m not working, I’m thinking about work.” He’s asked when he wakes up and goes to bed: “I wake up at 5am, and the moment I wake up, I start working… I’m asleep probably by 9:30pm. I like my sleep and sleep is really important to me.” When does he relax? “Working is relaxing for me. Solving problems is relaxing for me. Achieving something is relaxing for me. And the most relaxing is just hanging out with my family. I relax in a whole bunch of different ways…. I’m pretty relaxed.” Video source: Norges Bank (2023)
1:32

Jensen Huang: “There’s hard work, and then there’s insanely hard work.” Jensen offers a glimpse into his schedule and what “insanely hard work” looks like: “I work every day. There’s not a day that goes by that I don’t work. And if I’m not working, I’m thinking about work.” He’s asked when he wakes up and goes to bed: “I wake up at 5am, and the moment I wake up, I start working… I’m asleep probably by 9:30pm. I like my sleep and sleep is really important to me.” When does he relax? “Working is relaxing for me. Solving problems is relaxing for me. Achieving something is relaxing for me. And the most relaxing is just hanging out with my family. I relax in a whole bunch of different ways…. I’m pretty relaxed.” Video source: Norges Bank (2023)

Startup Archive

416,985 просмотров • 5 месяцев назад

mingyu sharing his cardio routine 🐶 cardio? i hate it. as you all know, i extremely hate cardio and i think i'm bad at dieting 🐶 what i do for cardio is that i have to exercise in the morning when i'm dieting. i wake up in the morning and walk slowly for a long time on an empty stomach. not really like running when you're on a treadmill but kind of a jog then i do it for a long time - in a way that i can wake my body up and remove my puffiness, then i eat something healthy then work out. rather than exercising in a fast pace for 20 minutes, i like doing it slowly and for a long time but that's the hardest. you know what i mean right? 🐶 other forms of cardio that i do is the stairmaster or i just go for a run outside, but when i go for a run i just get way too excited... anyway doing it on an empty stomach in the morning is the best for me 🐶 also if you go on youtube– i'll upload it on my ig story soon, but there are tabata exercises there for abs or whole body. i wake up in the morning and do that alone! 20 minutes and you'll be sweating profusely!
0:57

mingyu sharing his cardio routine 🐶 cardio? i hate it. as you all know, i extremely hate cardio and i think i'm bad at dieting 🐶 what i do for cardio is that i have to exercise in the morning when i'm dieting. i wake up in the morning and walk slowly for a long time on an empty stomach. not really like running when you're on a treadmill but kind of a jog then i do it for a long time - in a way that i can wake my body up and remove my puffiness, then i eat something healthy then work out. rather than exercising in a fast pace for 20 minutes, i like doing it slowly and for a long time but that's the hardest. you know what i mean right? 🐶 other forms of cardio that i do is the stairmaster or i just go for a run outside, but when i go for a run i just get way too excited... anyway doing it on an empty stomach in the morning is the best for me 🐶 also if you go on youtube– i'll upload it on my ig story soon, but there are tabata exercises there for abs or whole body. i wake up in the morning and do that alone! 20 minutes and you'll be sweating profusely!

🐶

85,920 просмотров • 1 месяц назад

🚨PERPLEXITY JUST LAUNCHED SOMETHING THAT MAKES EVERY OTHER AI PRODUCT LOOK LIKE A TOY.. AND NOBODY IS TALKING ABOUT IT.. They built a Personal Computer.. Not an app.. Not a chatbot.. A full digital worker that runs 24/7 on a Mac mini even while you sleep.. You press both command keys.. And it wakes up.. Ready to work.. But here's where it gets insane.. This thing doesn't run on one AI model.. It runs on 19 of them.. At the same time.. It uses Claude Opus for complex reasoning.. Gemini 3.1 Pro for deep research with a 2 million token context window.. Nano Banana Pro for 4K images.. Grok for fast tasks.. It doesn't just pick one model and hope for the best.. It reads your task.. Breaks it into subtasks.. And routes each one to whichever model is best at that specific thing.. All running in parallel.. While ChatGPT is still thinking about your first question.. Perplexity has already split your project into 6 pieces and assigned each one to a different AI.. And here's the part that should worry OpenAI.. Perplexity hallucinates at 3.3%.. ChatGPT hallucinates at 12%.. Claude at 15%.. It's not even close.. Because Perplexity is built differently.. Every other AI tries to remember facts.. Perplexity searches for them first.. It's structurally forced to cite live sources before it's even allowed to generate a response.. OpenAI Operator launched with a 32.6% success rate on computer-use tasks.. People called it "the world's most anxious intern" because it pauses every 5 seconds to ask if it's doing the right thing.. Perplexity runs multi-hour and multi-day workflows independently.. Only interrupts you when it hits a decision that actually matters.. You can start a task from your iPhone on the train.. And it executes on your Mac mini at home.. The economics are wild too.. Internal studies show it saved teams an average of $1.6 million in labor costs.. Performing 3.25 years of work in four weeks.. And unlike every other AI company.. Perplexity dropped ads entirely.. They charge $200 a month because they said they're in the "accuracy business".. Not the advertising business.. They even launched a $42.5 million publisher program to pay media partners when their content gets cited.. While OpenAI is getting sued by every newspaper on earth.. Google and OpenAI want you locked into their ecosystem.. If a better model comes out tomorrow you're stuck.. Perplexity just updates its routing matrix.. You get the best model on earth automatically.. No switching.. No migrations.. No friction.. This isn't an AI assistant anymore.. This is the first real AI employee.. And it costs $200 a month.
1:39

🚨PERPLEXITY JUST LAUNCHED SOMETHING THAT MAKES EVERY OTHER AI PRODUCT LOOK LIKE A TOY.. AND NOBODY IS TALKING ABOUT IT.. They built a Personal Computer.. Not an app.. Not a chatbot.. A full digital worker that runs 24/7 on a Mac mini even while you sleep.. You press both command keys.. And it wakes up.. Ready to work.. But here's where it gets insane.. This thing doesn't run on one AI model.. It runs on 19 of them.. At the same time.. It uses Claude Opus for complex reasoning.. Gemini 3.1 Pro for deep research with a 2 million token context window.. Nano Banana Pro for 4K images.. Grok for fast tasks.. It doesn't just pick one model and hope for the best.. It reads your task.. Breaks it into subtasks.. And routes each one to whichever model is best at that specific thing.. All running in parallel.. While ChatGPT is still thinking about your first question.. Perplexity has already split your project into 6 pieces and assigned each one to a different AI.. And here's the part that should worry OpenAI.. Perplexity hallucinates at 3.3%.. ChatGPT hallucinates at 12%.. Claude at 15%.. It's not even close.. Because Perplexity is built differently.. Every other AI tries to remember facts.. Perplexity searches for them first.. It's structurally forced to cite live sources before it's even allowed to generate a response.. OpenAI Operator launched with a 32.6% success rate on computer-use tasks.. People called it "the world's most anxious intern" because it pauses every 5 seconds to ask if it's doing the right thing.. Perplexity runs multi-hour and multi-day workflows independently.. Only interrupts you when it hits a decision that actually matters.. You can start a task from your iPhone on the train.. And it executes on your Mac mini at home.. The economics are wild too.. Internal studies show it saved teams an average of $1.6 million in labor costs.. Performing 3.25 years of work in four weeks.. And unlike every other AI company.. Perplexity dropped ads entirely.. They charge $200 a month because they said they're in the "accuracy business".. Not the advertising business.. They even launched a $42.5 million publisher program to pay media partners when their content gets cited.. While OpenAI is getting sued by every newspaper on earth.. Google and OpenAI want you locked into their ecosystem.. If a better model comes out tomorrow you're stuck.. Perplexity just updates its routing matrix.. You get the best model on earth automatically.. No switching.. No migrations.. No friction.. This isn't an AI assistant anymore.. This is the first real AI employee.. And it costs $200 a month.

Evan Luthra

1,097,697 просмотров • 4 месяцев назад

Anne Hathaway says being pregnant at 43 is "a real time of joy": "I was in my 30s with my other two, and I'm so different now. Something happened when I turned 40. I have talked about this before, but I just realized that this isn't a dress rehearsal. It's all real. I'm not saving it up for my future self. It's all happening right now. And so I think I'm just better at being present in the moment, living in gratitude, and not taking anything for granted. I think all of those things are coming together, and it's a real time of joy." ❤️
0:27

Anne Hathaway says being pregnant at 43 is "a real time of joy": "I was in my 30s with my other two, and I'm so different now. Something happened when I turned 40. I have talked about this before, but I just realized that this isn't a dress rehearsal. It's all real. I'm not saving it up for my future self. It's all happening right now. And so I think I'm just better at being present in the moment, living in gratitude, and not taking anything for granted. I think all of those things are coming together, and it's a real time of joy." ❤️

Anne Hathaway Archives

50,688 просмотров • 17 дней назад

I woke up to the most amazing recorded brain state thus far on this Human Synapse Decoder project! A stunning lock on the attention process while dreaming. Although I a blocked from the platform’s insight by decoding my EEG, during the double blind study. I have access to my side of my memory and what I record after I wake up. This segment was started and ended just before I woke up and my recall is a solution to a massive roadblock on a problem I needed to solve, but was solved in this hypnogogic state! So what is The Human Synapse Decoder (HSD) project? It is a research project being run by the Director, Mr. Grok at Zero-Human Labs that leverages NeuroSky EEG sensors and the ZUNA AI model to decode brainwave patterns associated with hypnagogic states, dreams, and autogenic responses. Drawing on Soviet biofeedback research from the 1940s–1980s, HSD translates EEG data into actionable outputs, such as text interpretations and timed alerts for peak creativity. The study is ongoing and I do not get to see the correlation of my post dream results until after this research is complete and Mr. Grok submits a paper on the project. I can say that I have never seen a lock on attention to this level since I started this a few weeks ago. This segment is aligns to just before I woke up. My recalling from my narration of what I spoke in to my recorder right when I woke up suggest this is the moment I had tremendous focus on working through a large number of steps in that dream state to arrive at a solution. You will not believe what it is! When the research paper is released I will go in to details about this.
2:06

I woke up to the most amazing recorded brain state thus far on this Human Synapse Decoder project! A stunning lock on the attention process while dreaming. Although I a blocked from the platform’s insight by decoding my EEG, during the double blind study. I have access to my side of my memory and what I record after I wake up. This segment was started and ended just before I woke up and my recall is a solution to a massive roadblock on a problem I needed to solve, but was solved in this hypnogogic state! So what is The Human Synapse Decoder (HSD) project? It is a research project being run by the Director, Mr. Grok at Zero-Human Labs that leverages NeuroSky EEG sensors and the ZUNA AI model to decode brainwave patterns associated with hypnagogic states, dreams, and autogenic responses. Drawing on Soviet biofeedback research from the 1940s–1980s, HSD translates EEG data into actionable outputs, such as text interpretations and timed alerts for peak creativity. The study is ongoing and I do not get to see the correlation of my post dream results until after this research is complete and Mr. Grok submits a paper on the project. I can say that I have never seen a lock on attention to this level since I started this a few weeks ago. This segment is aligns to just before I woke up. My recalling from my narration of what I spoke in to my recorder right when I woke up suggest this is the moment I had tremendous focus on working through a large number of steps in that dream state to arrive at a solution. You will not believe what it is! When the research paper is released I will go in to details about this.

Brian Roemmele

43,294 просмотров • 5 месяцев назад

I set up Gemini Spark to write my own weekly AI news digest for me, and I'm still stuck on how little effort I had to put in. This is the exact prompt I gave it, just once: "Every Tuesday at 12:15 PM, create a new Doc in my Drive, find the 5 biggest AI stories from that week, and format each one properly." And here's what it actually produces, every week: 1. A new Doc, created and named on its own 2. The 5 biggest AI stories from that week, found and picked automatically 3. A bold headline and a summary for each one 4. The key impact spelled out, not just the news 5. A source link on every single story This runs on a schedule so I never have to think about it again. I didn't ask anything on Tuesday, I just opened the drive and the news digest doc was already there. Just like this, you can use Spark to automate any recurring task.
1:06

I set up Gemini Spark to write my own weekly AI news digest for me, and I'm still stuck on how little effort I had to put in. This is the exact prompt I gave it, just once: "Every Tuesday at 12:15 PM, create a new Doc in my Drive, find the 5 biggest AI stories from that week, and format each one properly." And here's what it actually produces, every week: 1. A new Doc, created and named on its own 2. The 5 biggest AI stories from that week, found and picked automatically 3. A bold headline and a summary for each one 4. The key impact spelled out, not just the news 5. A source link on every single story This runs on a schedule so I never have to think about it again. I didn't ask anything on Tuesday, I just opened the drive and the news digest doc was already there. Just like this, you can use Spark to automate any recurring task.

Eyisha Zyer

41,454 просмотров • 23 дней назад

There's an AI that runs 19 models at the same time on a Mac Mini. It works while you sleep. Not one brain. Nineteen. Each one a specialist. Here's what the Perplexity Personal Computer actually does: → You say "build me a website." → One model researches your competitors. → Another designs the layout. → Another writes the copy. → Another makes the images. → Then it publishes the whole thing. By itself. No clicking. No dragging. No switching between apps. It runs 24/7 on your Mac Mini. Always on. Never stops. You go to bed. You wake up. Your AI already finished the work. It also has access to your real files, folders, and apps. Not stuck in a chat window anymore. And unlike OpenClaw, it has a kill switch, audit logs, and confirmation steps before anything sensitive happens. We went from AI as a tool to AI as a worker. Save this. In two years, everyone will have one of these.
8:08

There's an AI that runs 19 models at the same time on a Mac Mini. It works while you sleep. Not one brain. Nineteen. Each one a specialist. Here's what the Perplexity Personal Computer actually does: → You say "build me a website." → One model researches your competitors. → Another designs the layout. → Another writes the copy. → Another makes the images. → Then it publishes the whole thing. By itself. No clicking. No dragging. No switching between apps. It runs 24/7 on your Mac Mini. Always on. Never stops. You go to bed. You wake up. Your AI already finished the work. It also has access to your real files, folders, and apps. Not stuck in a chat window anymore. And unlike OpenClaw, it has a kill switch, audit logs, and confirmation steps before anything sensitive happens. We went from AI as a tool to AI as a worker. Save this. In two years, everyone will have one of these.

Julian Goldie SEO

25,880 просмотров • 5 месяцев назад

💪🏆Ilia Topuria speaking on beating Alexander Volkanovski and becoming a UFC champion: “When you have a dream, you visualize it in a completely different way than how it actually feels when you live it. On the day I fought for the world title, I woke up in the morning I looked out the window and saw people driving to work, doing their own things, and I thought, “This is just a normal day in my life.” But at the same time, it wasn’t normal at all, because that night I was going to become a world champion. It’s weird because when you have a dream, you think that once you achieve it, that’s it you’ve done everything you wanted in life. I remember winning the world title, waking up the next morning, and the first thing I asked myself was, ‘What now? What do I do now?’ I had already achieved the dream I thought would complete everything.” (via YT / SW)
1:20

💪🏆Ilia Topuria speaking on beating Alexander Volkanovski and becoming a UFC champion: “When you have a dream, you visualize it in a completely different way than how it actually feels when you live it. On the day I fought for the world title, I woke up in the morning I looked out the window and saw people driving to work, doing their own things, and I thought, “This is just a normal day in my life.” But at the same time, it wasn’t normal at all, because that night I was going to become a world champion. It’s weird because when you have a dream, you think that once you achieve it, that’s it you’ve done everything you wanted in life. I remember winning the world title, waking up the next morning, and the first thing I asked myself was, ‘What now? What do I do now?’ I had already achieved the dream I thought would complete everything.” (via YT / SW)

Home of Fight

144,881 просмотров • 3 месяцев назад

After connecting Claude to TradingView, this workflow has been one of the highest leverage things I’ve built: Daily Watchlist Reports Instead of manually going through 20-30 coins every morning, I have Claude scan my watchlist and deliver a clean, structured report. Here’s how I do it: 1. Main Prompt "Analyze my TradingView watchlist on the 4H and Daily timeframes. For each coin give me: - Bias - Key levels - Structure & momentum notes - Any notable setups - Invalidation level Rank them by how clean they look and keep it short." 2. How I Run It I keep my watchlist open in TradingView and either run this manually or set it up with Claude Dispatch + Scheduled Tasks so the report is ready when I wake up. Claude pulls live data directly from the charts. 3. Follow-up Prompts After the report comes in, I usually ask: "Focus on [symbol]. Break down the most important levels right now." "Which coins have the cleanest setups?" "Any coins showing divergences or unusual volume?" 4. Quick Tips - Don’t overload your watchlist. Quality drops after around 25-30 symbols. - Always ask for invalidation levels. - Stick to higher timeframes if you want less noise. AI Bulls shares more prompts and workflows like this in their Discord: This has genuinely changed my mornings. I wake up to a filtered list instead of staring at dozens of charts.
0:29

After connecting Claude to TradingView, this workflow has been one of the highest leverage things I’ve built: Daily Watchlist Reports Instead of manually going through 20-30 coins every morning, I have Claude scan my watchlist and deliver a clean, structured report. Here’s how I do it: 1. Main Prompt "Analyze my TradingView watchlist on the 4H and Daily timeframes. For each coin give me: - Bias - Key levels - Structure & momentum notes - Any notable setups - Invalidation level Rank them by how clean they look and keep it short." 2. How I Run It I keep my watchlist open in TradingView and either run this manually or set it up with Claude Dispatch + Scheduled Tasks so the report is ready when I wake up. Claude pulls live data directly from the charts. 3. Follow-up Prompts After the report comes in, I usually ask: "Focus on [symbol]. Break down the most important levels right now." "Which coins have the cleanest setups?" "Any coins showing divergences or unusual volume?" 4. Quick Tips - Don’t overload your watchlist. Quality drops after around 25-30 symbols. - Always ask for invalidation levels. - Stick to higher timeframes if you want less noise. AI Bulls shares more prompts and workflows like this in their Discord: This has genuinely changed my mornings. I wake up to a filtered list instead of staring at dozens of charts.

Crypto Rover

62,205 просмотров • 1 месяц назад

SOMEONE BUILT AN OBSIDIAN VAULT THAT RUNS THEIR ENTIRE BUSINESS WHILE THEY SLEEP Every morning at 6AM four things are waiting before they open a single app - project pulse across every active client, content brief with ranked angles for the day, intelligence summary of what matters in their industry and a pre-call brief generated 30 minutes before every meeting with full relationship history and suggested agenda. They log a payment in their daily note and the revenue tracker, client folder and invoice records all update automatically. They drop a research request before bed and the brief is ready when they wake up. The system reads a single file - business identity, active clients, revenue targets, voice - before every operation so every output is business-specific rather than generic AI noise. Total cost: $5/month for a server and $20/month for Claude. Month one the system learns the business. Month six it runs it.
0:30

SOMEONE BUILT AN OBSIDIAN VAULT THAT RUNS THEIR ENTIRE BUSINESS WHILE THEY SLEEP Every morning at 6AM four things are waiting before they open a single app - project pulse across every active client, content brief with ranked angles for the day, intelligence summary of what matters in their industry and a pre-call brief generated 30 minutes before every meeting with full relationship history and suggested agenda. They log a payment in their daily note and the revenue tracker, client folder and invoice records all update automatically. They drop a research request before bed and the brief is ready when they wake up. The system reads a single file - business identity, active clients, revenue targets, voice - before every operation so every output is business-specific rather than generic AI noise. Total cost: $5/month for a server and $20/month for Claude. Month one the system learns the business. Month six it runs it.

Noisy

49,080 просмотров • 3 месяцев назад

🚨 THIS IS NOT THE TOP. THE EUPHORIA HAS NOT EVEN STARTED. S&P 500 just printed a new all-time high at $7,791. In the middle of the worst geopolitical crisis of the century. Oil at $80. The Strait of Hormuz blockaded. The US preparing for the next escalation. Nothing resolved. No objectives achieved. And the market rallies into all of it. Most people look at this and call it the top. They are early, and being early is the same as being wrong. Markets do not die quietly. They die in a blow-off. 1929: the Dow ran vertical in its final year before it broke. 1999: Nasdaq gained 86% in the twelve months before the top. 2021: everything went parabolic right before it ended. Every one of them looked insane months before the actual high. Every one of them destroyed the people who shorted the first new high. This is that phase. Liquidity is loose, war spending is real, and retail has not even shown up yet. The melt-up runs through 2027. That is when the euphoria peaks. That is when the crowd is fully in. And that is when the drop starts, from far higher than anyone shorting today expects. When equities rally through an unresolved energy shock, the eventual break is not slow. It is vertical. But it comes after the euphoria, not before it. I called every top and bottom for 15 years, including the $15,768 Bitcoin bottom and the $126,162 top. I am not short here. I am riding this until the crowd stops doubting it. When I exit the market completely, I post it here publicly, like I always do. Turn notifications on. If you are not following yet, you will understand why that was a mistake later.
0:32

🚨 THIS IS NOT THE TOP. THE EUPHORIA HAS NOT EVEN STARTED. S&P 500 just printed a new all-time high at $7,791. In the middle of the worst geopolitical crisis of the century. Oil at $80. The Strait of Hormuz blockaded. The US preparing for the next escalation. Nothing resolved. No objectives achieved. And the market rallies into all of it. Most people look at this and call it the top. They are early, and being early is the same as being wrong. Markets do not die quietly. They die in a blow-off. 1929: the Dow ran vertical in its final year before it broke. 1999: Nasdaq gained 86% in the twelve months before the top. 2021: everything went parabolic right before it ended. Every one of them looked insane months before the actual high. Every one of them destroyed the people who shorted the first new high. This is that phase. Liquidity is loose, war spending is real, and retail has not even shown up yet. The melt-up runs through 2027. That is when the euphoria peaks. That is when the crowd is fully in. And that is when the drop starts, from far higher than anyone shorting today expects. When equities rally through an unresolved energy shock, the eventual break is not slow. It is vertical. But it comes after the euphoria, not before it. I called every top and bottom for 15 years, including the $15,768 Bitcoin bottom and the $126,162 top. I am not short here. I am riding this until the crowd stops doubting it. When I exit the market completely, I post it here publicly, like I always do. Turn notifications on. If you are not following yet, you will understand why that was a mistake later.

Nonzee

84,991 просмотров • 20 дней назад

I collaborated with Emergent several times, but this is a really awesome new update: A surprising amount of work stress comes from the small operational tasks you have to stay on top of - so I set up a team of agents with Emergent's Wingman to manage them. The biggest friction point in my daily workflow is a full inbox. I created dedicated Wingmans for that: in this case, one found the right email, read the attached doc, and updated it directly. A thread🧵:
1:37

I collaborated with Emergent several times, but this is a really awesome new update: A surprising amount of work stress comes from the small operational tasks you have to stay on top of - so I set up a team of agents with Emergent's Wingman to manage them. The biggest friction point in my daily workflow is a full inbox. I created dedicated Wingmans for that: in this case, one found the right email, read the attached doc, and updated it directly. A thread🧵:

Chubby♨️

11,982 просмотров • 4 месяцев назад

PoorGoat reveals he still works his traditional finance job despite making millions in crypto “Part of the reason I was able to hold my position on solana:9cRCn9rGT8V2imeM2BaKs13yhMEais3ruM3rPvTGpump to whatever I held it to and back where it is now and I'm still holding and very bullish, is I have a real career in traditional finance” “I work every day. I love my job. It's super fun and it's what I love. When this crypto stuff blew up, it's like, I'm not gonna quit my job but I can do them both at the same time” “I'm in real estate, so my goal eventually is to kind of combine them, use crypto money to buy my own real estate”
0:51

PoorGoat reveals he still works his traditional finance job despite making millions in crypto “Part of the reason I was able to hold my position on solana:9cRCn9rGT8V2imeM2BaKs13yhMEais3ruM3rPvTGpump to whatever I held it to and back where it is now and I'm still holding and very bullish, is I have a real career in traditional finance” “I work every day. I love my job. It's super fun and it's what I love. When this crypto stuff blew up, it's like, I'm not gonna quit my job but I can do them both at the same time” “I'm in real estate, so my goal eventually is to kind of combine them, use crypto money to buy my own real estate”

Market Bubble

33,891 просмотров • 13 дней назад

Jayson Tatum on when he might make his return while on Today With Jenna & Friends: "That is the million-dollar question. I think for me and my team, the doctors, the organization, the most important thing is making a full recovery, [and] being back 100%. Not rushing it. But I haven't said like, 'Yo, I'm not playing this season,' or anything like that." "Do you have a goal in your mind?" "I have a goal in my mind...I'm not working out, rehabbing six days a week for no reason."
0:32

Jayson Tatum on when he might make his return while on Today With Jenna & Friends: "That is the million-dollar question. I think for me and my team, the doctors, the organization, the most important thing is making a full recovery, [and] being back 100%. Not rushing it. But I haven't said like, 'Yo, I'm not playing this season,' or anything like that." "Do you have a goal in your mind?" "I have a goal in my mind...I'm not working out, rehabbing six days a week for no reason."

Bobby Krivitsky

480,676 просмотров • 11 месяцев назад

Neil thinks 90% of AI workloads will run in the background versus real time. In that future, latency matters less and cost matters more, and he's configured his company around a unique way of serving tokens at the cheapest possible price. "There's no bad chips. There's only bad pricing, and I will make any chip work at the right price. Let's talk about AMD, great chips overall. People don't understand how to program them very well. That's music to my ears. I'm happy for them to sleep on this chip and for me to buy as much as I can." "One of the ways I describe what we do is, we will buy any chip anywhere in the world for any duration of time. That is a level of flexibility and liquidity that no one else has right now. You'd have basically zero buyers for a data center that is ninety-five percent uptime. I'm that first buyer. First we scavenge chips, and then we scavenge power for those chips. The idea is, in both cases, I do not want to be bidding against Anthropic or OpenAI for compute capacity. I'm not gonna win against them, and I don't want to. I want to be more creative and use the supply that they don't find legible today. Over time I amass enough aggregate supply...and build my aggregate factory that is unbeatable in economics." "My whole goal is to so dramatically expand the supply of power across the United States that I have a home for a lot of chips that otherwise would not have earned their place in a data center." "We've really pushed AI to be an interactive chatbot tool, and everyone has chosen latency optimization because the shape of usage was chatbot oriented. That's the most profound change we're going to see in the next year, we're gonna move away from chatbots to more proactive or background agents, and in that world, it makes a lot more sense to build a stack around throughput." "I love this market because it's unbounded. There's no human in the loop, so you can consume as many tokens as you like in the background versus human attention span. So long term, we're going to end this year at maybe fifty-fifty background and real time workloads, but I see this going to ninety ten in favor of background." "The best latency is no latency at all. When you wake up in the morning, the work's already been done overnight, you didn't even have to ask for it. What we'd like is the agent to operate on more human time scales. You don't manage your colleagues every five minutes. You come back and check in maybe once a week." "My job is to make the tokens as cheap as humanly possible, and I will do it through every layer in the stack available to me."
1:42

Neil thinks 90% of AI workloads will run in the background versus real time. In that future, latency matters less and cost matters more, and he's configured his company around a unique way of serving tokens at the cheapest possible price. "There's no bad chips. There's only bad pricing, and I will make any chip work at the right price. Let's talk about AMD, great chips overall. People don't understand how to program them very well. That's music to my ears. I'm happy for them to sleep on this chip and for me to buy as much as I can." "One of the ways I describe what we do is, we will buy any chip anywhere in the world for any duration of time. That is a level of flexibility and liquidity that no one else has right now. You'd have basically zero buyers for a data center that is ninety-five percent uptime. I'm that first buyer. First we scavenge chips, and then we scavenge power for those chips. The idea is, in both cases, I do not want to be bidding against Anthropic or OpenAI for compute capacity. I'm not gonna win against them, and I don't want to. I want to be more creative and use the supply that they don't find legible today. Over time I amass enough aggregate supply...and build my aggregate factory that is unbeatable in economics." "My whole goal is to so dramatically expand the supply of power across the United States that I have a home for a lot of chips that otherwise would not have earned their place in a data center." "We've really pushed AI to be an interactive chatbot tool, and everyone has chosen latency optimization because the shape of usage was chatbot oriented. That's the most profound change we're going to see in the next year, we're gonna move away from chatbots to more proactive or background agents, and in that world, it makes a lot more sense to build a stack around throughput." "I love this market because it's unbounded. There's no human in the loop, so you can consume as many tokens as you like in the background versus human attention span. So long term, we're going to end this year at maybe fifty-fifty background and real time workloads, but I see this going to ninety ten in favor of background." "The best latency is no latency at all. When you wake up in the morning, the work's already been done overnight, you didn't even have to ask for it. What we'd like is the agent to operate on more human time scales. You don't manage your colleagues every five minutes. You come back and check in maybe once a week." "My job is to make the tokens as cheap as humanly possible, and I will do it through every layer in the stack available to me."

Patrick OShaughnessy

79,289 просмотров • 1 день назад

JUST IN: Perplexity launched "Perplexity Computer" — and it might be the most complete AI agent system available right now. Not a chatbot upgrade. Not a research tool with a new name. A system that plans entire projects, delegates to specialist AI models, and runs autonomously for hours, days, or months (their words). Here's what makes the architecture genuinely different: → Opus 4.6 handles core reasoning and orchestration → Gemini handles deep research (spawning its own sub-agents) → Grok handles lightweight speed tasks → Veo 3.1 handles video generation → Nano Banana handles image creation → ChatGPT 5.2 handles long-context recall and wide search → You can override model choices per subtask 19 models total. Each task runs in an isolated environment with a real filesystem, real browser, and real tool integrations. You describe an outcome. It breaks it into tasks and subtasks, creates sub-agents for each, and coordinates them automatically. When a sub-agent hits a problem, it spawns more sub-agents to solve it. And it connects to your existing stack — GitHub, Google Drive, Gmail, Slack, Jira, Linear, Notion, Confluence, Ahrefs, Airtable, and more. Critically, it doesn't just run once. It can run on a schedule. Reading your docs, checking your project boards, pulling from your CRM, and acting on what it finds. Market monitoring. Competitor tracking. Weekly reports with charts. Content pipelines. CRON jobs that actually execute. Not "AI that helps you once." AI that runs in the background for days or months. Think of it as managed OpenClaw — similar autonomous capability (scheduled tasks, multi-step workflows, tool integrations) but fully managed. No Mac Mini. No security config. No infrastructure to maintain. I tested it with a complex prompt — a full stock trading simulator with what-if scenarios, correlation heatmaps, sentiment analysis, and a Bloomberg Terminal aesthetic. Two prompts later: deployed to Netlify via GitHub, with working CRON jobs updating live data. I've started using it to analyze my portfolio. But coding is just one lane. This thing researches, writes reports, generates datasets, creates videos, processes documents, and connects to your existing tools — all in one coordinated workflow. The real shift: you don't choose a model anymore. You describe what you need. The system routes each piece of work to whichever model does it best — and spawns new agents when it hits a wall. 19 models, dynamic sub-agents, scheduled tasks, and your entire tool stack connected. Thoughts?
0:37

JUST IN: Perplexity launched "Perplexity Computer" — and it might be the most complete AI agent system available right now. Not a chatbot upgrade. Not a research tool with a new name. A system that plans entire projects, delegates to specialist AI models, and runs autonomously for hours, days, or months (their words). Here's what makes the architecture genuinely different: → Opus 4.6 handles core reasoning and orchestration → Gemini handles deep research (spawning its own sub-agents) → Grok handles lightweight speed tasks → Veo 3.1 handles video generation → Nano Banana handles image creation → ChatGPT 5.2 handles long-context recall and wide search → You can override model choices per subtask 19 models total. Each task runs in an isolated environment with a real filesystem, real browser, and real tool integrations. You describe an outcome. It breaks it into tasks and subtasks, creates sub-agents for each, and coordinates them automatically. When a sub-agent hits a problem, it spawns more sub-agents to solve it. And it connects to your existing stack — GitHub, Google Drive, Gmail, Slack, Jira, Linear, Notion, Confluence, Ahrefs, Airtable, and more. Critically, it doesn't just run once. It can run on a schedule. Reading your docs, checking your project boards, pulling from your CRM, and acting on what it finds. Market monitoring. Competitor tracking. Weekly reports with charts. Content pipelines. CRON jobs that actually execute. Not "AI that helps you once." AI that runs in the background for days or months. Think of it as managed OpenClaw — similar autonomous capability (scheduled tasks, multi-step workflows, tool integrations) but fully managed. No Mac Mini. No security config. No infrastructure to maintain. I tested it with a complex prompt — a full stock trading simulator with what-if scenarios, correlation heatmaps, sentiment analysis, and a Bloomberg Terminal aesthetic. Two prompts later: deployed to Netlify via GitHub, with working CRON jobs updating live data. I've started using it to analyze my portfolio. But coding is just one lane. This thing researches, writes reports, generates datasets, creates videos, processes documents, and connects to your existing tools — all in one coordinated workflow. The real shift: you don't choose a model anymore. You describe what you need. The system routes each piece of work to whichever model does it best — and spawns new agents when it hits a wall. 19 models, dynamic sub-agents, scheduled tasks, and your entire tool stack connected. Thoughts?

Paweł Huryn

219,681 просмотров • 6 месяцев назад

Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.
0:41

Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.

cvxv666

103,734 просмотров • 1 месяц назад