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Results for “AI agents”

45 results

01 / belief

Now, there still are use cases where you need to control the chunk size for different things, but if that's something that you wanted to not worry about or have to learn about, and the way I think about this is more developers will build AI agents in the next three years than did in the last 3 years.

“Now, there still are use cases where you need to control the chunk size for different things, but if that's something that you wanted to not worry about or have to learn about, and the way I think about this is more developers will build AI agents in the next three years than did in the last 3 years.”
Speaker
Not verified from transcript
Publisher
The Cognitive Revolution

02 / recommendation

The difference between spending spending, like, a thousand dollars or $50,000. So, Noah, I think open source models are, like, a required part of the stack right now for for anyone who's, like, seriously building and operating AI agents.

“The difference between spending spending, like, a thousand dollars or $50,000. So, Noah, I think open source models are, like, a required part of the stack right now for for anyone who's, like, seriously building and operating AI agents.”
Speaker
Flo Crivello
Publisher
The Cognitive Revolution

03 / belief

I would say, don't I, I would say, you know, it, that it's, it's actually be, it would be great if mass adoption of AI agents driven by just how much more they can do per minute or per dollar, results in basically negotiation negotiations becoming more honest.

“I would say, don't I, I would say, you know, it, that it's, it's actually be, it would be great if mass adoption of AI agents driven by just how much more they can do per minute or per dollar, results in basically negotiation negotiations becoming more honest.”
Speaker
Not verified from transcript
Publisher
The Cognitive Revolution

04 / prediction

" Uh, but I don't think it gets us probably entirely out of the, the woods and, you know, the, you may have seen the old Gwern essay about, like, why oracle AIs want to be agents. And it's, uh, I think he does make a pretty compelling point that there is, like, just a lot of gravity toward this sort of agentic, um, form factor because even just to get the right answer to a lot of questions, you kinda have to go out and find it, you know?

“" Uh, but I don't think it gets us probably entirely out of the, the woods and, you know, the, you may have seen the old Gwern essay about, like, why oracle AIs want to be agents. And it's, uh, I think he does make a pretty compelling point that there is, like, just a lot of gravity toward this sort of agentic, um, form factor because even just to get the right answer to a lot of questions, you kinda have to go out and find it, you know?”
Speaker
Nathan Labenz
Publisher
The Cognitive Revolution

05 / prediction

I think you can, and there's another really interesting bifurcation of this that we should talk about, which is that having two agents is better than one. But I think for now there's this really cool thing where with Proof, for example, anyone who uses it, I don't pay for tokens because they bring their AI to Proof.

“I think you can, and there's another really interesting bifurcation of this that we should talk about, which is that having two agents is better than one. But I think for now there's this really cool thing where with Proof, for example, anyone who uses it, I don't pay for tokens because they bring their AI to Proof.”
Speaker
Dan Shipper
Publisher
Lenny's Podcast

06 / preference

Two topics that are on the minds of all our customers today are, yes, stablecoins and then AI, specifically with respect to changing buying, agentic commerce. On stablecoins, I think maybe DoorDash is not where I would start.

“Two topics that are on the minds of all our customers today are, yes, stablecoins and then AI, specifically with respect to changing buying, agentic commerce. On stablecoins, I think maybe DoorDash is not where I would start.”
Speaker
John Collison
Publisher
Cheeky Pint

07 / prediction

Product leaders will increasingly get paid and be asked to drive judgment, and then be the tip of the sphere on trying to essentially obsolete everything else through software, through AI, through agents. This is partly why there's a lot of excitement, because just to be very honest with you and you were a PM and I was a PM, most of the stuff that you didn't like doing are the things that AI is really taking a real crack at.

“Product leaders will increasingly get paid and be asked to drive judgment, and then be the tip of the sphere on trying to essentially obsolete everything else through software, through AI, through agents. This is partly why there's a lot of excitement, because just to be very honest with you and you were a PM and I was a PM, most of the stuff that you didn't like doing are the things that AI is really taking a real crack at.”
Speaker
Nikhyl Singhal
Publisher
Lenny's Podcast

10 / prediction

If you have an AI agent that is making sales for Stripe to small businesses, and I told you I will sell one-tenth the number of new Stripe GMV, however you value that, but I'll use one one-hundredth of the tokens, you probably wouldn't care.

“If you have an AI agent that is making sales for Stripe to small businesses, and I told you I will sell one-tenth the number of new Stripe GMV, however you value that, but I'll use one one-hundredth of the tokens, you probably wouldn't care.”
Speaker
Bret Taylor
Publisher
Cheeky Pint

11 / prediction

I think that we will end up with individual tech leads who, because of the existence of AI agents, will become even more important, where if you are a, I'll say, product engineer, I'm trying to find the right word for it—we might invent one—who has taste but didn't necessarily know CSS, who has infrastructure ability, meaning that you understand the basics of distributed systems and debugging, and you understand your customer very deeply.

“I think that we will end up with individual tech leads who, because of the existence of AI agents, will become even more important, where if you are a, I'll say, product engineer, I'm trying to find the right word for it—we might invent one—who has taste but didn't necessarily know CSS, who has infrastructure ability, meaning that you understand the basics of distributed systems and debugging, and you understand your customer very deeply.”
Speaker
Bret Taylor
Publisher
Cheeky Pint

12 / belief

OpenClaw is a great product. And then I saw that this morning, I mean, this is very recent, but this morning, I think the moltbook kind of like we've shared as well and seeing all of the AI agents talk to each other is pretty surreal.

“OpenClaw is a great product. And then I saw that this morning, I mean, this is very recent, but this morning, I think the moltbook kind of like we've shared as well and seeing all of the AI agents talk to each other is pretty surreal.”
Speaker
Sherwin Wu
Publisher
Lenny's Podcast

13 / prediction

I just think the AI field, especially what I've seen over the last three years working on the API and seeing all that evolve, is the field and the models themselves are just changing so, so quickly, they tend to disrupt themselves, especially around the tooling and the scaffolding space. So there's this quote that I read actually earlier this week, it's from an X article by this guy named Nicolas, who's the founder of a startup called Fintool, where I think he was sharing a lot of the best practices that he has learned through building AI agents for financial services, I think at his startup Fintool.

“I just think the AI field, especially what I've seen over the last three years working on the API and seeing all that evolve, is the field and the models themselves are just changing so, so quickly, they tend to disrupt themselves, especially around the tooling and the scaffolding space. So there's this quote that I read actually earlier this week, it's from an X article by this guy named Nicolas, who's the founder of a startup called Fintool, where I think he was sharing a lot of the best practices that he has learned through building AI agents for financial services, I think at his startup Fintool.”
Speaker
Sherwin Wu
Publisher
Lenny's Podcast

14 / commitment

We’ll talk to our AI agent to, to accomplish different tasks, to learn about different things, but we won’t value online interaction because there’ll be so much AI slob that smells and so many bots that it’s difficult.

“We’ll talk to our AI agent to, to accomplish different tasks, to learn about different things, but we won’t value online interaction because there’ll be so much AI slob that smells and so many bots that it’s difficult.”
Speaker
Lex Fridman
Publisher
Lex Fridman Podcast

16 / belief

Know, Yan Lakun talks a lot about this and are less selfish. And so yeah, I think that's a great opportunity, but there's definitely risk because the second you give an autonomous agent the opportunity to produce its own sub goals, you need to have really rich either constraints or a really well defined reward function or know, 1 ability that I think comes from mentalizing actually is, and this is an idea in alignment research, which is, if you can convince an AI agent to try and do what it thinks the human wants it to do, What you're actually doing is you're requiring it to engage in some form of mentalizing to infer the preferences of the requester and then try and do what is best for that that individual.

“Know, Yan Lakun talks a lot about this and are less selfish. And so yeah, I think that's a great opportunity, but there's definitely risk because the second you give an autonomous agent the opportunity to produce its own sub goals, you need to have really rich either constraints or a really well defined reward function or know, 1 ability that I think comes from mentalizing actually is, and this is an idea in alignment research, which is, if you can convince an AI agent to try and do what it thinks the human wants it to do, What you're actually doing is you're requiring it to engage in some form of mentalizing to infer the preferences of the requester and then try and do what is best for that that individual.”
Speaker
Max Bennett
Publisher
Machine Learning Street Talk

17 / prediction

That fully autonomous agent will have essentially an embodied set of those same tools that are available to it. So this AI tool that comes in also has not just a raw computer, because it’s going to be more token-efficient to use tools to get stuff done.

“That fully autonomous agent will have essentially an embodied set of those same tools that are available to it. So this AI tool that comes in also has not just a raw computer, because it’s going to be more token-efficient to use tools to get stuff done.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

18 / prediction

I suspect there is something new to build that is going to replace a lot of the current office, productivity suite, whatever you think of docs, slides, email, Slack, whatever, that will be the AI-driven version of all of these things, not where you tack on the horrible — you accidentally click the wrong place and it tries to write a whole document for you or summarize some thread or whatever, but the actual version of you are trusting your AI agent and my AI agent to work most stuff out and escalate to us when necessary.

“I suspect there is something new to build that is going to replace a lot of the current office, productivity suite, whatever you think of docs, slides, email, Slack, whatever, that will be the AI-driven version of all of these things, not where you tack on the horrible — you accidentally click the wrong place and it tries to write a whole document for you or summarize some thread or whatever, but the actual version of you are trusting your AI agent and my AI agent to work most stuff out and escalate to us when necessary.”
Speaker
Sam Altman
Publisher
Conversations with Tyler

19 / recommendation

Now, maybe you also, because these AI assistants are doing such open-ended tasks, you kind of also want to measure how good are they at very vague or ambiguous things like responding to new types of user requests or figuring out if there's new distributions of data like new users are coming and using your real estate agent that you didn't even know would use your product.

“Now, maybe you also, because these AI assistants are doing such open-ended tasks, you kind of also want to measure how good are they at very vague or ambiguous things like responding to new types of user requests or figuring out if there's new distributions of data like new users are coming and using your real estate agent that you didn't even know would use your product.”
Speaker
Shreya Shankar
Publisher
Lenny's Podcast

20 / belief

I think about things like clarity communication, just like what comes to mind when you think about like, here's the things you want to double down on as you're learning to be manager that will also help you be really good at AI tooling and working with agents.

“I think about things like clarity communication, just like what comes to mind when you think about like, here's the things you want to double down on as you're learning to be manager that will also help you be really good at AI tooling and working with agents.”
Speaker
Lenny Rachitsky
Publisher
Lenny's Podcast

21 / belief

The thing I think will happen, which is a mix of competition and technology adoption is a lot of AI agents now are being compared to their human counterparts, whether it's labor costs or effectiveness, in a market like software engineering or customer service in area that you know, perhaps like you know, conventional wisdom as AI agents will come to be dominant parts of this industry.

“The thing I think will happen, which is a mix of competition and technology adoption is a lot of AI agents now are being compared to their human counterparts, whether it's labor costs or effectiveness, in a market like software engineering or customer service in area that you know, perhaps like you know, conventional wisdom as AI agents will come to be dominant parts of this industry.”
Speaker
Not verified from transcript
Publisher
The Logan Bartlett Show

22 / prediction

his what I had down was 8,000 deals and generating over a hundred million in ARR for agent force I don't know if there's newer numbers out there if that's the latest well you'll you'll hear those when we do earnings next okay great okay so so earnings well wait and baited breath for that I assume they're higher than they were in the past what what was counterintuitive or as this has ramped up what's been unexpected in the response of actually seeing this out in the wild and in production well you can see that our AI and data product line is the fastest growing product line we've ever had it's you know the it's over a billion dollars now and all that is been a huge shock that we've been all the scale it is fast I mean we've seen the these great startup companies like Databricks and snowflake you know we've been investors in both of those companies we help bring snowflake public or investors and Databricks as well and you know and then you know we look at other companies that are doing data foundations or data foundries and others it's like wow this is a big category these companies are all like three to four billion dollars in revenue and now all of a sudden well we're a billion dol

“his what I had down was 8,000 deals and generating over a hundred million in ARR for agent force I don't know if there's newer numbers out there if that's the latest well you'll you'll hear those when we do earnings next okay great okay so so earnings well wait and baited breath for that I assume they're higher than they were in the past what what was counterintuitive or as this has ramped up what's been unexpected in the response of actually seeing this out in the wild and in production well you can see that our AI and data product line is the fastest growing product line we've ever had it's you know the it's over a billion dollars now and all that is been a huge shock that we've been all the scale it is fast I mean we've seen the these great startup companies like Databricks and snowflake you know we've been investors in both of those companies we help bring snowflake public or investors and Databricks as well and you know and then you know we look at other companies that are doing data foundations or data foundries and others it's like wow this is a big category these companies are all like three to four billion dollars in revenue and now all of a sudden well we're a billion dol”
Speaker
Not verified from transcript
Publisher
The Logan Bartlett Show

23 / belief

We think about it as what season are we in? Season one might've been prototyping of AI and then it was all around models and reasoning models, and now it's the advent of agents.

“We think about it as what season are we in? Season one might've been prototyping of AI and then it was all around models and reasoning models, and now it's the advent of agents.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

24 / evaluation

At this point, we have AI and agents and many of our workflows, one of my favorite ones, so right now are my engineering partners out. So I jump on the live site bridges when something goes down and as something as simple as you can automatically get a summary of everything that just happened because usually, there's 15 people talking, you don't actually know where the incident started, where it's going to end and everything and then all of a sudden I have that and I can figure out and ask questions and get updates.

“At this point, we have AI and agents and many of our workflows, one of my favorite ones, so right now are my engineering partners out. So I jump on the live site bridges when something goes down and as something as simple as you can automatically get a summary of everything that just happened because usually, there's 15 people talking, you don't actually know where the incident started, where it's going to end and everything and then all of a sudden I have that and I can figure out and ask questions and get updates.”
Speaker
Asha Sharma
Publisher
Lenny's Podcast

25 / belief

If you want to go from a 65% automated resolution rate to 75%, we have a billion tools to let AI help you do that, identify opportunities for improvement, figure out why people are frustrated, what new capabilities can we add to our agent to improve the resolution rate? And you let AI put the needles at the top of the haystack on your behalf and I think that's really the way to optimize these systems.

“If you want to go from a 65% automated resolution rate to 75%, we have a billion tools to let AI help you do that, identify opportunities for improvement, figure out why people are frustrated, what new capabilities can we add to our agent to improve the resolution rate? And you let AI put the needles at the top of the haystack on your behalf and I think that's really the way to optimize these systems.”
Speaker
Bret Taylor
Publisher
Lenny's Podcast

26 / belief

I think there’ll be some form of trade with powerful AI systems or agents that work on people’s behalf, and you may want to trade with them a form of compute because agents may be able to use compute for themselves as well.

“I think there’ll be some form of trade with powerful AI systems or agents that work on people’s behalf, and you may want to trade with them a form of compute because agents may be able to use compute for themselves as well.”
Speaker
Jack Clark
Publisher
Conversations with Tyler

27 / prediction

I think something people don't talk enough about with talking about agents and all these AI engineers that are going to be doing all this stuff for you, is basically we're all becoming engineering managers, with a lot of reports that are just not that smart, and you have to do a lot of reviewing, and approving, and specifying.

“I think something people don't talk enough about with talking about agents and all these AI engineers that are going to be doing all this stuff for you, is basically we're all becoming engineering managers, with a lot of reports that are just not that smart, and you have to do a lot of reviewing, and approving, and specifying.”
Speaker
Lenny Rachitsky
Publisher
Lenny's Podcast

28 / belief

One observation I have is, you could have told a story in 2021, once ChatGPT comes out… I think I had friends who were credible AI thinkers who were like, “look, you’ve got the coding agent now, it’s been cracked.

“One observation I have is, you could have told a story in 2021, once ChatGPT comes out… I think I had friends who were credible AI thinkers who were like, “look, you’ve got the coding agent now, it’s been cracked.”
Speaker
Dwarkesh Patel
Publisher
Dwarkesh Podcast

30 / belief

What I would love to see… This is how it came up I think on the cursor conversation, is that I would love it if an AI agent did this, like Anthropos computer use or something like that, actually took the action of ordering the coffee while it was programming.

“What I would love to see… This is how it came up I think on the cursor conversation, is that I would love it if an AI agent did this, like Anthropos computer use or something like that, actually took the action of ordering the coffee while it was programming.”
Speaker
Lex Fridman
Publisher
Lex Fridman Podcast

31 / belief

I need a smarter thing than a chat interface to manage all the agents and their dialogue. That's why I think of this Copilot, as the UI for AI, is a big, big deal.

“I need a smarter thing than a chat interface to manage all the agents and their dialogue. That's why I think of this Copilot, as the UI for AI, is a big, big deal.”
Speaker
Satya Nadella
Publisher
Dwarkesh Podcast

32 / commitment

Because we're trying to create an enduring company at Sierra that outlives us, you know, I'm not sure we want to like attach our cart to some like to a horse where it's not clear that like we've figured out and I actually want as a company, we're trying to enable just at a high level and I'll, I'll quickly go back to tech at Sierra, we help consumer brands build customer facing AI agents.

“Because we're trying to create an enduring company at Sierra that outlives us, you know, I'm not sure we want to like attach our cart to some like to a horse where it's not clear that like we've figured out and I actually want as a company, we're trying to enable just at a high level and I'll, I'll quickly go back to tech at Sierra, we help consumer brands build customer facing AI agents.”
Speaker
Bret Taylor
Publisher
Latent Space

33 / prediction

Making real time updates was still very hand coded and it's really neat when you [00:16:00] see conceptual breakthroughs like react because it's, I just love those things where it's like obvious once you see it, but it's so not obvious until you do. And actually, well, I'm sure we'll get into AI, but I, I sort of feel like we'll go through that evolution with AI agents as well that I feel like we're missing a lot of the core abstractions that I think in 10 years we'll be like, gosh, how'd you make agents?

“Making real time updates was still very hand coded and it's really neat when you [00:16:00] see conceptual breakthroughs like react because it's, I just love those things where it's like obvious once you see it, but it's so not obvious until you do. And actually, well, I'm sure we'll get into AI, but I, I sort of feel like we'll go through that evolution with AI agents as well that I feel like we're missing a lot of the core abstractions that I think in 10 years we'll be like, gosh, how'd you make agents?”
Speaker
Bret Taylor
Publisher
Latent Space

34 / belief

Actually, that’s worth noting is that’s another trillion-dollar question on AI, which is in a world of pervasive AI, and especially in a world of AI agents, and imagine a world of billions or trillions of AI agents running around, they need an economy. And crypto, in our view, happens to be the ideal economic system for that, because it’s a programmable money.

“Actually, that’s worth noting is that’s another trillion-dollar question on AI, which is in a world of pervasive AI, and especially in a world of AI agents, and imagine a world of billions or trillions of AI agents running around, they need an economy. And crypto, in our view, happens to be the ideal economic system for that, because it’s a programmable money.”
Speaker
Marc Andreessen
Publisher
Lex Fridman Podcast

36 / evaluation

I think if you really look at it, I actually bring up Yuriy's point again because I was listening to that episode, I thought that was so insightful of he gets so many emails every single day of, we're AI for this, we're building an AI agent for that.

“I think if you really look at it, I actually bring up Yuriy's point again because I was listening to that episode, I thought that was so insightful of he gets so many emails every single day of, we're AI for this, we're building an AI agent for that.”
Speaker
Aman Khan
Publisher
Lenny's Podcast

38 / recommendation

Mentions personal use of VS Code. Mentions personal use of continue.dev.

“Yeah, yeah. Both. So I use VS Code as like my daily driver, although I'm like super excited about things like Cursor or the AI agents. I have my own like stack underneath that. I mean, some off the shelf parts, some pretty custom. So I use the continue.dev just like AI chat UI basically as just the UI layer, but I also proxy the request.”
Speaker
Drew Houston
Publisher
Latent Space

39 / recommendation

Featuring LLM frameworks and vector databases, evals and LLM ops, open source models, code gen and dev tools, GPUs and inference, AI agent applications, AI in the fortune 500, and then we have a special track for AI leadership which you can access by purchasing the VP pass which is different from the, the other passes we have. And I won't go into the Each of these tracks in depth, unless you want to, Swyx but there's more details on the website at ai.

“Featuring LLM frameworks and vector databases, evals and LLM ops, open source models, code gen and dev tools, GPUs and inference, AI agent applications, AI in the fortune 500, and then we have a special track for AI leadership which you can access by purchasing the VP pass which is different from the, the other passes we have. And I won't go into the Each of these tracks in depth, unless you want to, Swyx but there's more details on the website at ai.”
Speaker
Ben Dunphy
Publisher
Latent Space

41 / belief

The AI space to the extent there's an AI space and the AI agent space are both exactly as she likely said, I think colossal opportunities and people are just going to end up winning in different areas and a lot of companies are going to do well.

“The AI space to the extent there's an AI space and the AI agent space are both exactly as she likely said, I think colossal opportunities and people are just going to end up winning in different areas and a lot of companies are going to do well.”
Speaker
David Luan
Publisher
Latent Space

42 / belief

We all gain from experience over the course of our lives in varying degrees, and I’d like my AI agent to gain with that experience too. So if we go back and let ourselves imagine that trillions and trillions of context length, if I can put every conversation I’ve ever had with anybody in my life in there, if I can have all of my emails input out, all of my input output in the context window every time I ask a question, that’d be pretty cool I think.

“We all gain from experience over the course of our lives in varying degrees, and I’d like my AI agent to gain with that experience too. So if we go back and let ourselves imagine that trillions and trillions of context length, if I can put every conversation I’ve ever had with anybody in my life in there, if I can have all of my emails input out, all of my input output in the context window every time I ask a question, that’d be pretty cool I think.”
Speaker
Sam Altman
Publisher
Lex Fridman Podcast

44 / belief

I think anytime you have sort of an unbounded action space for, for models like agents, it's especially important to be able to answer those questions easily and to have some sense of security that in the same way that you want to know whether your like coworker or collaborator has access to a document or has modified a document, you want to know whether an AI has permissions to access something.

“I think anytime you have sort of an unbounded action space for, for models like agents, it's especially important to be able to answer those questions easily and to have some sense of security that in the same way that you want to know whether your like coworker or collaborator has access to a document or has modified a document, you want to know whether an AI has permissions to access something.”
Speaker
Linus Lee
Publisher
Latent Space

45 / prediction

Another sort of more, more recent revelation that I had while working on this and autofill thing inside notion is the importance of zones of influence for AI agents, especially in collaborative settings. So having worked on lots of interfaces for independent work on my year off, one of the surprising lessons that I learned early on when I joined notion was that if you build a collaboration permeates everything, which is great for notion because collaborating with an AI, you reuse a lot of the same metaphors for collaborating with humans.

“Another sort of more, more recent revelation that I had while working on this and autofill thing inside notion is the importance of zones of influence for AI agents, especially in collaborative settings. So having worked on lots of interfaces for independent work on my year off, one of the surprising lessons that I learned early on when I joined notion was that if you build a collaboration permeates everything, which is great for notion because collaborating with an AI, you reuse a lot of the same metaphors for collaborating with humans.”
Speaker
Linus Lee
Publisher
Latent Space
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