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🎥WILD: Brian Kelly’s Bracket22 hedge fund replaces a $5 MILLION+ payroll with only four AI agents. CNBC recently profiled veteran fund manager Brian Kelly’s AI-powered hedge fund, where four AI agents now handle research, risk analysis, chart analysis and quant strategies for $40,000 a year. 'Houston runs the operation,... Doocey red-teams every trade idea, Steffi analyzes charts, and Desmond runs quant strategies over the weekend.' Kelly says the agents deliver roughly 10x the output of his previous team. His previous setup required 7–8 people across New York, Hong Kong and California to cover a crypto market that never closes, costing more than $5 million annually. The AI agents can now work around the clock without anyone having to wake up at 3 a.m. Kelly calls his remaining role “the meat in the chair” and says the future of hedge funds could look like one manager overseeing a small number of humans, with a swarm of AI agents underneath them.show more

Coin Bureau

1,124,260 subscribers

48,978 görüntüleme • 12 gün önce •via X (Twitter)

Finans Bilim & Teknoloji

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12 Yorum

🌻 TheMїnel profil fotoğrafı

🌻 TheMїnel12 gün önce

The question is though: do they still make money?

Macro Bombastic profil fotoğrafı

Macro Bombastic12 gün önce

tbh I'd want to see the pnl before believing the 10x

ShiroCipher profil fotoğrafı

ShiroCipher12 gün önce

Brian Kelly swapping a 5 million payroll of 7 to 8 people for four AI agents at 40,000 a year claiming 10x output is the fund treating the night desk as a prompt, I'd rather see the live book than the CNBC names.

VOX Markets profil fotoğrafı

VOX Markets12 gün önce

Replacing a $5M+ payroll with four AI agents is wild, and a reported 10x increase in output shows how quickly AI is changing finance.

ShadowAguy profil fotoğrafı

ShadowAguy12 gün önce

four agents handling a hedge fund's core work raises a weirder question than job cuts: who's the legally responsible human when one of them makes a $500M bad call?

MCN 👑| Maine Coon profil fotoğrafı

MCN 👑| Maine Coon12 gün önce

AI agents managing an entire trading operation 24/7… the way finance is evolving is wild 👀

Aper ex spatio profil fotoğrafı

Aper ex spatio12 gün önce

So, every man can be a Hedge fond?

Ranveer singh profil fotoğrafı

Ranveer singh12 gün önce

genius

BraveTom profil fotoğrafı

BraveTom12 gün önce

Interesting 🤔

Mr.Quin profil fotoğrafı

Mr.Quin12 gün önce

Four agents replacing a multimillion payroll sounds clean until you ask who owns model risk and the audit trail. Research and risk are exactly where silent failure gets expensive.

dang it bobby profil fotoğrafı

dang it bobby12 gün önce

Wild shift for funds. Along with @AdamJohnstph, you're right at the top of my feed for AI market updates.

Orio_Trade | Web3 profil fotoğrafı

Orio_Trade | Web312 gün önce

This is a massive news

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CNBC just filmed a hedge fund where every employee is an AI agent. Payroll: $40,000 a year, all 4 of them. His last team cost $5,000,000 and burned him out of the business. Watch him introduce the staff. > Houston runs the place. > Doocey is the red team. His only job is to break every trade idea before money touches it. > Steffi, yes, Steffi Graf, marks up the charts. >Desmond runs the quant strategies over the weekend. The human kept one job. He calls it the meat in the chair. Pressing the button. 7 or 8 people in New York, Hong Kong and California could not cover a crypto market that trades at 3am. 4 bots do. He started them on Claude Opus 4.6 and they have not slept since. 10x the output, his number, not mine. 527,000 people watched this in 8 days. Your timeline skipped it. His forecast for Wall Street, on camera: one hedge fund manager, 1 or 2 humans under him, a swarm of agents under them. And for himself: "Maybe someday old BK will just have to be at the beach"

CNBC just filmed a hedge fund where every employee is an AI agent. Payroll: $40,000 a year, all 4 of them. His last team cost $5,000,000 and burned him out of the business. Watch him introduce the staff. > Houston runs the place. > Doocey is the red team. His only job is to break every trade idea before money touches it. > Steffi, yes, Steffi Graf, marks up the charts. >Desmond runs the quant strategies over the weekend. The human kept one job. He calls it the meat in the chair. Pressing the button. 7 or 8 people in New York, Hong Kong and California could not cover a crypto market that trades at 3am. 4 bots do. He started them on Claude Opus 4.6 and they have not slept since. 10x the output, his number, not mine. 527,000 people watched this in 8 days. Your timeline skipped it. His forecast for Wall Street, on camera: one hedge fund manager, 1 or 2 humans under him, a swarm of agents under them. And for himself: "Maybe someday old BK will just have to be at the beach"

cvxv666

1,674,669 görüntüleme • 14 gün önce

A CNBC Fast Money trader shut down his $5,000,000 a year hedge fund team and rebuilt the whole f*cking firm on 4 AI agents. New bill: $40,000 a year. He gave CNBC the tour 10 days ago, bot by bot. You are still telling yourself AI trading needs a desk. His 4 agents run the loop every quant desk runs: idea -> code -> backtest -> live -> autopsy. Horizon runs that loop from one text box. Kelly closed a hedge fund to get his agents. Yours come on a free trial, no code, first backtest 11 minutes after signing up for the median trader. Bring the one trade idea you never coded: Type the sentence. Rules written, 5 years backtested in about 12 seconds, live on your broker 90 seconds later. Backed by Entrée Capital and hedge fund managers. > $5,000,000 a year for 7 or 8 humans and a New York office > $40,000 a year $40,000 a year for Houston, Steffi, Desmond and Doocey, compute included > $400,000 to $650,000 a year for one junior quant at a big fund I read it twice, sure I had missed a zero. That is not a hedge fund budget. That is a used car. Steffi marks up the charts, Desmond runs the quant strategies, Doocey is the red team that attacks every thesis, Houston is mission control. Kelly keeps the final call, 10x more productive by his count. It will not flatter you. I fed it the MACD crossover every $2,000 course sells. 227 trades, Sharpe -0.48, -0.80%. Red on the first pass, not 2 weeks into my real money. Then it rewrote the losing rule. Kelly kept the final call. The $5,000,000 was everything before it.

A CNBC Fast Money trader shut down his $5,000,000 a year hedge fund team and rebuilt the whole f*cking firm on 4 AI agents. New bill: $40,000 a year. He gave CNBC the tour 10 days ago, bot by bot. You are still telling yourself AI trading needs a desk. His 4 agents run the loop every quant desk runs: idea -> code -> backtest -> live -> autopsy. Horizon runs that loop from one text box. Kelly closed a hedge fund to get his agents. Yours come on a free trial, no code, first backtest 11 minutes after signing up for the median trader. Bring the one trade idea you never coded: Type the sentence. Rules written, 5 years backtested in about 12 seconds, live on your broker 90 seconds later. Backed by Entrée Capital and hedge fund managers. > $5,000,000 a year for 7 or 8 humans and a New York office > $40,000 a year $40,000 a year for Houston, Steffi, Desmond and Doocey, compute included > $400,000 to $650,000 a year for one junior quant at a big fund I read it twice, sure I had missed a zero. That is not a hedge fund budget. That is a used car. Steffi marks up the charts, Desmond runs the quant strategies, Doocey is the red team that attacks every thesis, Houston is mission control. Kelly keeps the final call, 10x more productive by his count. It will not flatter you. I fed it the MACD crossover every $2,000 course sells. 227 trades, Sharpe -0.48, -0.80%. Red on the first pass, not 2 weeks into my real money. Then it rewrote the losing rule. Kelly kept the final call. The $5,000,000 was everything before it.

cvxv666

31,330 görüntüleme • 17 gün önce

A hedge fund manager wrote his investors a goodbye letter. The crypto market that never closes had broken him. 17 months later CNBC filmed his new fund. 4 AI agents, zero humans on payroll, $40,000 a year all in. Nobody in it sleeps. The letter is still on X. 769 views. You run the same f*cking shift he quit. Hyperliquid at 3am, a Bitcoin alert in bed. You just never had $5,000,000 of payroll to prove it wasn't working. From the letter: "Markets that never close have taken a toll that I could only fully recognize once I paused." From the CNBC clip: "If it's 3 in the morning and I have an idea, I can just ping them. I don't have to worry about waking somebody up in the middle of the night, which I may or may not have done in the past." 7 or 8 people in New York, Hong Kong and California. $5,000,000 a year. Could not cover 3am. 4 bots, started on Claude Opus 4.6. $40,000 a year. Never off. 10x the output, his number. > Houston is mission control. Every bot reports to him. > Steffi, yes, Steffi Graf, marks up the charts. >Desmond runs the quant strategies over the weekend. > Doocey is the red team. Every thesis gets attacked before a dollar moves. Two Sigma keeps 1,700 people on that job. Behind them sits what he calls the corporate brain. Every trade, every email, every piece of research is a node, wired to everything else in the firm "almost like neurons". "Take a staff of 100, you've got a staff of 1,000" "I've talked to people working at big hedge funds now. They're doing something like this." 527,000 people watched his clip in 8 days. Brian Kelly kept one job in it. He calls it the meat in the chair. The market still never closes. He just isn't the one awake for it anymore.

A hedge fund manager wrote his investors a goodbye letter. The crypto market that never closes had broken him. 17 months later CNBC filmed his new fund. 4 AI agents, zero humans on payroll, $40,000 a year all in. Nobody in it sleeps. The letter is still on X. 769 views. You run the same f*cking shift he quit. Hyperliquid at 3am, a Bitcoin alert in bed. You just never had $5,000,000 of payroll to prove it wasn't working. From the letter: "Markets that never close have taken a toll that I could only fully recognize once I paused." From the CNBC clip: "If it's 3 in the morning and I have an idea, I can just ping them. I don't have to worry about waking somebody up in the middle of the night, which I may or may not have done in the past." 7 or 8 people in New York, Hong Kong and California. $5,000,000 a year. Could not cover 3am. 4 bots, started on Claude Opus 4.6. $40,000 a year. Never off. 10x the output, his number. > Houston is mission control. Every bot reports to him. > Steffi, yes, Steffi Graf, marks up the charts. >Desmond runs the quant strategies over the weekend. > Doocey is the red team. Every thesis gets attacked before a dollar moves. Two Sigma keeps 1,700 people on that job. Behind them sits what he calls the corporate brain. Every trade, every email, every piece of research is a node, wired to everything else in the firm "almost like neurons". "Take a staff of 100, you've got a staff of 1,000" "I've talked to people working at big hedge funds now. They're doing something like this." 527,000 people watched his clip in 8 days. Brian Kelly kept one job in it. He calls it the meat in the chair. The market still never closes. He just isn't the one awake for it anymore.

cvxv666

995,254 görüntüleme • 14 gün önce

CNBC just aired a report on a 55-year-old trader who fired his entire hedge fund and replaced it with 4 AI agents. Payroll went from $5,000,000 a year to $40,000. He ran that fund for 8 years with 7 or 8 people in New York, Hong Kong and California. April 2025: he sent his investors a goodbye letter and gave the money back. 10 months ago he opened Claude, pasted a price chart into it and asked what it saw. That was the whole beginning. Those 4 agents now cover markets 24/7 and make him 10x more productive than the humans did. His number. One junior quant costs $400,000 to $650,000 a year. His whole firm runs on a tenth of that. 89% of retail traders lost money last year doing this by hand. You do not have to build any of it. Horizon already did, one AI trading engine backed by Entrée Capital and a group of hedge fund managers. Type the trade idea in plain English. 5 year backtest in about 12 seconds, live on your broker in about 90. Free trial, no code: He needed 10 months and a dead fund to get his first agent. The median here is 11 minutes. CNBC's report is below. He explains the whole thing in 4 minutes.

CNBC just aired a report on a 55-year-old trader who fired his entire hedge fund and replaced it with 4 AI agents. Payroll went from $5,000,000 a year to $40,000. He ran that fund for 8 years with 7 or 8 people in New York, Hong Kong and California. April 2025: he sent his investors a goodbye letter and gave the money back. 10 months ago he opened Claude, pasted a price chart into it and asked what it saw. That was the whole beginning. Those 4 agents now cover markets 24/7 and make him 10x more productive than the humans did. His number. One junior quant costs $400,000 to $650,000 a year. His whole firm runs on a tenth of that. 89% of retail traders lost money last year doing this by hand. You do not have to build any of it. Horizon already did, one AI trading engine backed by Entrée Capital and a group of hedge fund managers. Type the trade idea in plain English. 5 year backtest in about 12 seconds, live on your broker in about 90. Free trial, no code: He needed 10 months and a dead fund to get his first agent. The median here is 11 minutes. CNBC's report is below. He explains the whole thing in 4 minutes.

cvxv666

14,954 görüntüleme • 13 gün önce

a former crypto hedge fund manager walked cnbc through his new team. every employee is an AI agent: "we've got houston. he's mission control. he's in charge of everything. he talks to all these bots, all these bots come back and talk to him." "we've got doocey, who's in charge of the red team. once we've done all the research, we say attack this entire thesis. see if you can break it." "then we have steffi. she's the technical analyst. she'll mark up charts for us." one human, a swarm of agents, his own money. a live experiment in what these tools can and cannot do.

a former crypto hedge fund manager walked cnbc through his new team. every employee is an AI agent: "we've got houston. he's mission control. he's in charge of everything. he talks to all these bots, all these bots come back and talk to him." "we've got doocey, who's in charge of the red team. once we've done all the research, we say attack this entire thesis. see if you can break it." "then we have steffi. she's the technical analyst. she'll mark up charts for us." one human, a swarm of agents, his own money. a live experiment in what these tools can and cannot do.

Goshawk Trades

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I made a real-world AI hedge fund team. It has 4 agents: 1 • market data agent 2 • quant agent 3 • risk manager agent 4 • portfolio manager agent You can run all of my code below. No prior coding experience is required. The agents work sequentially, passing messages to the next agent. 1 • Market Data Agent gathers market data and calculates technical signals. 2 • Quant Agent takes market data and generates a buy, sell, or hold signal. 3 • Risk Management Agent takes trading signal and generates a risk signal. 4 • Portfolio Management Agent considers all signals and makes a final trading decision.

I made a real-world AI hedge fund team. It has 4 agents: 1 • market data agent 2 • quant agent 3 • risk manager agent 4 • portfolio manager agent You can run all of my code below. No prior coding experience is required. The agents work sequentially, passing messages to the next agent. 1 • Market Data Agent gathers market data and calculates technical signals. 2 • Quant Agent takes market data and generates a buy, sell, or hold signal. 3 • Risk Management Agent takes trading signal and generates a risk signal. 4 • Portfolio Management Agent considers all signals and makes a final trading decision.

Virat Singh

369,381 görüntüleme • 1 yıl önce

Leaving Citadel & launching a $1B AI hedge fund — how Renee Yao built NeoIvy Capital from scratch Renee Yao walked away from two of the most elite hedge funds on Wall Street — Citadel & Millennium — and built a quant fund on a fundamentally different model: modern AI instead of human-powered alpha generation. The result: $1B+ in regulatory AUM, uncorrelated returns through COVID, & a fund Business Insider named one of the top transforming investing in North America. We cover: - Why large multi-manager quant firms rely on massive global researcher headcounts — & why Renee saw that as a model worth disrupting - The 3 barriers to entry in AI-driven quant — & why legacy sequential infrastructure can be a disadvantage compared to modern parallel distributed systems - How NeoIvy's self-evolving models adapted in real time during the March 2020 crash — while traditional quant managers had a nightmare month - The difference between beta returns, factor returns & pure alpha — & why size is the enemy of true idiosyncratic returns - Why the "black box" reputation of quant funds has been the #1 fundraising obstacle - How a 4-year-old girl visiting her uncle's room-sized supercomputer in China set the foundation for all of this - The edge/breadth/constraint framework from Grinold & Kahn — & how it shaped Renee's thinking on diversification - Renee's raw advice on staying disciplined when everyone around you is chasing beta in a bull market Transcript: 00:00 Intro 01:14 Renee Yao’s journey to founding Neo Ivy 02:28 Joining Citadel after the financial crisis 04:13 Hedge fund diversification and breadth of edge 04:45 Why Neo Ivy trades with AI strategies 07:50 How self-learning AI adapts to markets 09:40 Causation vs correlation in AI hedge funds 10:33 Barriers to entry for AI hedge funds 14:47 Risks of crowded factor bets explained 16:39 Why big funds struggle with AI talent 17:29 From PM at Citadel to hedge fund founder 18:47 Challenges of launching a quant hedge fund 20:25 Biggest constraint for AI hedge fund startups 22:08 How AI hedge funds adapted during COVID 24:04 Modern AI tools used in quant trading 25:13 Building hedge fund infrastructure from scratch 26:26 Career advice for aspiring quants and traders 28:55 Adapting career goals to changing job markets 31:57 Life lessons from trading and risk management 32:51 Staying disciplined while running a hedge fund 34:38 Obsession and belief in AI hedge funds 35:41 Closing thoughts on hedge funds and life

Leaving Citadel & launching a $1B AI hedge fund — how Renee Yao built NeoIvy Capital from scratch Renee Yao walked away from two of the most elite hedge funds on Wall Street — Citadel & Millennium — and built a quant fund on a fundamentally different model: modern AI instead of human-powered alpha generation. The result: $1B+ in regulatory AUM, uncorrelated returns through COVID, & a fund Business Insider named one of the top transforming investing in North America. We cover: - Why large multi-manager quant firms rely on massive global researcher headcounts — & why Renee saw that as a model worth disrupting - The 3 barriers to entry in AI-driven quant — & why legacy sequential infrastructure can be a disadvantage compared to modern parallel distributed systems - How NeoIvy's self-evolving models adapted in real time during the March 2020 crash — while traditional quant managers had a nightmare month - The difference between beta returns, factor returns & pure alpha — & why size is the enemy of true idiosyncratic returns - Why the "black box" reputation of quant funds has been the #1 fundraising obstacle - How a 4-year-old girl visiting her uncle's room-sized supercomputer in China set the foundation for all of this - The edge/breadth/constraint framework from Grinold & Kahn — & how it shaped Renee's thinking on diversification - Renee's raw advice on staying disciplined when everyone around you is chasing beta in a bull market Transcript: 00:00 Intro 01:14 Renee Yao’s journey to founding Neo Ivy 02:28 Joining Citadel after the financial crisis 04:13 Hedge fund diversification and breadth of edge 04:45 Why Neo Ivy trades with AI strategies 07:50 How self-learning AI adapts to markets 09:40 Causation vs correlation in AI hedge funds 10:33 Barriers to entry for AI hedge funds 14:47 Risks of crowded factor bets explained 16:39 Why big funds struggle with AI talent 17:29 From PM at Citadel to hedge fund founder 18:47 Challenges of launching a quant hedge fund 20:25 Biggest constraint for AI hedge fund startups 22:08 How AI hedge funds adapted during COVID 24:04 Modern AI tools used in quant trading 25:13 Building hedge fund infrastructure from scratch 26:26 Career advice for aspiring quants and traders 28:55 Adapting career goals to changing job markets 31:57 Life lessons from trading and risk management 32:51 Staying disciplined while running a hedge fund 34:38 Obsession and belief in AI hedge funds 35:41 Closing thoughts on hedge funds and life

Ethan Kho

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TeddyCEO

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ChainOpera AI

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Goshawk Trades

38,079 görüntüleme • 2 ay önce

AI INTERVIEW: AI RULES THE CRYPTO WORLD… BUT WILL IT LAST? In this power-packed interview with Buzz 巴斯光年, Christian Hentschel unpacks his thrilling crypto journey and how AI is reshaping the future. From Hiero Terminal’s unique ecosystem to the evolution of agents, DeFi, and the growing role of AI coins, Christian Hentschel dives deep into the cutting-edge intersection of AI, crypto, and tech. This conversation covers everything from the rise of the Metaverse to whether AI could replace Google and how gaming, NPCs, and crypto are becoming intertwined. A must-watch for anyone curious about where the industry is headed! 12:38 - AI will replace Google? 14:37 - The difference between agents and bots. 17:25 - We can now begin to dream about truly intelligent robots. 23:08 - AI might replace most non-creative workers in the next 5 years. 28:18 - AI coins are poised to be the next big thing. 30:00 - combining gaming with NFTs will massively boost DeFi. 31:19 - How can agents elevate DeFi?: “The ecosystem is too complex for humans.” 35:53 - Hiero agents could be programmed to work forever. 38:16 - Almost anyone will be able to use the agents. 44:20 - Conspiracies and fears: Can agents become flawed like humans? 49:19 - AI could soon expose half of your secrets to the world.

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Mario Nawfal

220,333 görüntüleme • 1 yıl önce

A founder just replaced every employee in his company with AI and posted the whole map. 137 agents, 7 departments, nobody on payroll. Click any job on the map and a card opens with the salary it cancels. A sales rep at $60,000 a year. An agency at $4,000 a month. Sales, marketing, ops, customer, back office, deals, intelligence. All of it. Every card grades itself too: human-led, human-assisted, or fully autonomous. So you know exactly how much you can hand over tonight. None of it is a roadmap. All of it runs today. And it doesn't stop at companies. Point the same setup at money and it works the same way. Save the post below. It's full map, built for running your own AI trading hedge fund with agents.

A founder just replaced every employee in his company with AI and posted the whole map. 137 agents, 7 departments, nobody on payroll. Click any job on the map and a card opens with the salary it cancels. A sales rep at $60,000 a year. An agency at $4,000 a month. Sales, marketing, ops, customer, back office, deals, intelligence. All of it. Every card grades itself too: human-led, human-assisted, or fully autonomous. So you know exactly how much you can hand over tonight. None of it is a roadmap. All of it runs today. And it doesn't stop at companies. Point the same setup at money and it works the same way. Save the post below. It's full map, built for running your own AI trading hedge fund with agents.

cvxv666

58,731 görüntüleme • 1 ay önce

10 GPT-6 ASTRA AGENTS SOLVED A $1,350,000 HEDGE FUND PROBLEM IN 25 HOURS I gave my Money Heist crew one task and took my hands off the keyboard: find a trading pattern that could power a personal mini hedge fund on Robinhood Chain → In 25 hours, they earned back the $120 subscription cost 100 times over The Professor split the research across ten agents. They analyzed 20,000 token launches, matched wallet histories against liquidity and tested trading ideas under different execution conditions. Tokyo gathered evidence. Rio ran the tests. Nairobi compiled the results into an investment memo. Palermo sent back strategies that depended on a perfect entry or one lucky trade. Every objection triggered another round of calculations. By the end of the operation, the crew had $12,000 in capital and a clear understanding of what to research next, how much risk to take and when to avoid trading altogether. Research costs stayed within $120. For hedge funds, investigations like these cost millions of dollars. I set the objective. The agents divided the work, checked the findings and returned one consolidated result. The full architecture of this crew is in my article ↓

10 GPT-6 ASTRA AGENTS SOLVED A $1,350,000 HEDGE FUND PROBLEM IN 25 HOURS I gave my Money Heist crew one task and took my hands off the keyboard: find a trading pattern that could power a personal mini hedge fund on Robinhood Chain → In 25 hours, they earned back the $120 subscription cost 100 times over The Professor split the research across ten agents. They analyzed 20,000 token launches, matched wallet histories against liquidity and tested trading ideas under different execution conditions. Tokyo gathered evidence. Rio ran the tests. Nairobi compiled the results into an investment memo. Palermo sent back strategies that depended on a perfect entry or one lucky trade. Every objection triggered another round of calculations. By the end of the operation, the crew had $12,000 in capital and a clear understanding of what to research next, how much risk to take and when to avoid trading altogether. Research costs stayed within $120. For hedge funds, investigations like these cost millions of dollars. I set the objective. The agents divided the work, checked the findings and returned one consolidated result. The full architecture of this crew is in my article ↓

Logics

17,467 görüntüleme • 24 gün önce

"Stop building AI agents. Build AI employees instead." Here’s my new episode with Pedro Franceschi (co-founder Brex), who showed me why AI employees with a specific job, skills, manager, and budget are better than AI agents, including: → A live demo of Jim, his AI employee to source and recruit job candidates → How to prevent your AI agents and employees from leaking company data → Why he still uses OpenClaw to run his life and $5B business Some quotes from Pedro: “Focus on building virtual employees versus open-ended agents that could do a million things.” “You’re now able to sell the work itself versus just selling the software.” “Because it’s so easy to build things now, having discernment on what matters is more important than ever. What is a true lever to actually deliver value in a unique way? Let’s go do this one thing, even though we could do five or ten." 📌 Watch now: Thanks to our sponsors: Riverside: All-in-one AI studio for podcasts and video Linear: The AI agent platform for modern teams

"Stop building AI agents. Build AI employees instead." Here’s my new episode with Pedro Franceschi (co-founder Brex), who showed me why AI employees with a specific job, skills, manager, and budget are better than AI agents, including: → A live demo of Jim, his AI employee to source and recruit job candidates → How to prevent your AI agents and employees from leaking company data → Why he still uses OpenClaw to run his life and $5B business Some quotes from Pedro: “Focus on building virtual employees versus open-ended agents that could do a million things.” “You’re now able to sell the work itself versus just selling the software.” “Because it’s so easy to build things now, having discernment on what matters is more important than ever. What is a true lever to actually deliver value in a unique way? Let’s go do this one thing, even though we could do five or ten." 📌 Watch now: Thanks to our sponsors: Riverside: All-in-one AI studio for podcasts and video Linear: The AI agent platform for modern teams

Peter Yang

56,775 görüntüleme • 22 gün önce

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Aaron Levie

103,880 görüntüleme • 1 yıl önce

Andrew Ng: “100% of my tasks are now handled by AI agents - hype has exceeded my expectations. In 3-6 months, everyone will run at least 5 self-improving AI agents. No more prompting.” In 30-minutes talk, Andrew Ng reveals his agentic setup and what the future of agentic AI will look like. Worth more than a $500 agentic course.

Andrew Ng: “100% of my tasks are now handled by AI agents - hype has exceeded my expectations. In 3-6 months, everyone will run at least 5 self-improving AI agents. No more prompting.” In 30-minutes talk, Andrew Ng reveals his agentic setup and what the future of agentic AI will look like. Worth more than a $500 agentic course.

Movez

83,228 görüntüleme • 2 ay önce