The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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every show 44 of 44
Taylor: The craft of software engineering will be completely different by 2027
“And if I look at the actual craft of software engineering that we're doing right now I think it's literally a fact that it'll be completely different two years from now.”
Taylor: Generating AI code in human-designed programming languages is a local maximum
“It feels like a local maximum in a really obvious way to me, which is you have a bunch of code written by people written in programming languages that were designed to make it easy for people to tell a computer what to do.”
Taylor: Treating software engineers as machine operators will make development more robust
“I have a strong suspicion that if we designed these systems with the role of a software engineer in mind being an operator of a machine rather than the author of the code, we could make the process Much more robust and much more productive.”
Taylor: Pre-training a fourth-best foundation model offers highly questionable ROI
“If you're pre-training a foundation model that's the fourth best that's gonna cost you a lot of money, and the return on that investment is, is probably fairly questionable, because why use your fourth best large language model versus a frontier model or an op…”
Taylor: AI model market will consolidate into a few massive capex players
“I think we have probably have too many people building models right now. There's already been some consolidation actually of companies being folded into Amazon and Microsoft and others. But I do think it will play out a bit like the cloud infrastructure busine…”
Taylor: Pre-training startups have pharma-like costs without the pharma business model
“I would have a hard time personally, like, funding a startup that says, I'm gonna do pre-training, you know, it's, ah, it's, I don't really know, like, what's your differentiation in this marketplace, and I think a lot of those companies you're already seeing,…”
Taylor: ChatGPT will be the primary delivery mechanism for AGI
“Is I do think that, It will be the delivery mechanism for AGI when it's produced, and not just because of the many researchers at OpenAI, but because of the amazing, like, utility it's become from individuals.”
Taylor: AI will shift intellectual power from deep specialists to cross-domain generalists
“I have a completely personal theory that it will benefit deep generalists in a lot of ways, too, because your ability to understand a fair amount in a lot of domains, and leveraging AI knowing where to prompt the AI to go explore and bringing together those do…”
Taylor: Software Value Lies in Closed-Loop AI Systems, Not Chat Interfaces
“What I'm excited about in the software industry is not necessarily a large language model with a prompt and a response being
The product of AI, but actually end to end closed loose systems that use large language models as pieces of infrastructure.
And I actua…”
Taylor: Nvidia may not be a 20-year AI bet as infrastructure shifts
“Nvidia will probably benefit from all of the investments in AI. I'm not sure I would do that over a 20 year period, just assuming that the infrastructure will shift.”
Taylor: Software engineering supply is not close to being solved by AI
“At some point, we will be we will no longer be supply constrained in software, but we're not anywhere close to it right now, and you're taking something that has always been the scarce resource, which is software engineers, and you're making it not scarce, and…”
Taylor: AI agents will rapidly erode legacy seat-based software pricing models
“AI, I think, will change the landscape of software to be tools of productivity that, to agents that actually accomplish tasks, and I think it will Help some companies who, for whom that's a amplifies their existing value proposition and it will really hurt oth…”
Bret Taylor: Personal AI agents will take a while to become robust
“I think it might be a really hard product to build because when you think about all the different services and people you interact with every day, it's kind of everything. So it's not, it has to generalize a lot to be useful to you. And because of the Personal…”
Taylor: Bureaucracy and inaccurate internal storytelling cause companies to die
“The combination of, Bureaucracy and inaccurate storytelling I think is the reason why companies sort of die”
Bret Taylor: Order-taking engineering teams rarely build breakthrough products
“Few great things have been created by committee, you know? And so if engineering is an order taking organization for product you can sometimes make meaningful things, but rarely will you create extremely well-crafted breakthrough products. Those tend to be sma…”
Bret Taylor Says AI Agents Are Currently in Their jQuery Era
“To go use that metaphor, we're sort of in the jQuery era of agents, not the React era”
Startups Cannot Profitably Pre-Train Foundation Models Due to Massive Compute Costs
“I think the idea that a company can make money sort of pre-training a foundation model is probably not true. It's hard to, you're competing with just you know, unreasonably large capex budgets.”
Bret Taylor: Open source will broadly win in AI developer tooling
“Nowadays the tools are changing so rapidly that I'm like not totally skeptical of tool makers, but I just think that open source will broadly win.”
Bret Taylor Mocks Using AI to Write Unsafe, Slow Python Code
“I think that we're bringing the cost of writing code down to zero. So the fact that we're still writing Python with AI cracks me up just cause it's like literally was designed to be ergonomic to write, not, not safe to run or fast to run.”
Taylor: Vertical AI agent value lies in interaction systems for behavior specification
“I actually think for every single agentic domain, whether it's customer service or legal or software engineering, that's essentially what the company building those agents is building is like the system through which you express the behaviors you want, esoteri…”
Natural Language Prompts Can Never Completely Specify Complex Software Systems
“Prompts are great, but it's not actually a complete specification for anything. It never can be.”
AGI Real-World Impact Will Be Bottlenecked by Physical Processes, Not Intelligence
“It seems likely to me that, you know, at first and something that is AGI will be good in digital domains you know, because it's software. So if you think about something like AI discovering a new say like pharmaceutical therapy, the barrier to that is probably…”
Taylor: AI will replace raw coding, but architectural judgment will endure
“Certainly software engineering will be one of the disciplines most impacted. And I think that it's very, so like, I think if you're in this industry and you define yourself by the tools that you use, like how many characters you can type into Vim every day, th…”
Taylor: In 2025, digital presence probably means having branded AI agents
“In 2025, existing digitally will probably mean having a branded AI agent that your customers can interact with to do everything that they can do on your website.”
Taylor: AI will yield a trillion-dollar consumer giant and 10+ public companies
“We will look back and laugh at some of the excess, but I'm confident we will have, you know, a brand defining and likely trillion dollar consumer company come out of this. 10 plus enterprise software companies that are enduring, you know, public companies comi…”
Bret Taylor: Commercial AI market will mirror cloud software structure
“I actually think the AI market commercially will play out like the cloud market did over the past 20 years.”
Bret Taylor: Smart AI models won't alter enterprise software buying habits
“And so I think this idea that somehow the way the world wants to buy software will change because these models are really smart. Doesn't resonate with me.”
Taylor: Enterprise spending on AI professional services will drop as software matures
“I think there's probably some short term professional services spend that reflects the lack of the maturity of the AI applications market right now. You know, and I think that when there are solutions like Sierra and others for specific domains available, you …”
Bret Taylor: Companies needing standard models should simply fine-tune Llama or Mistral
“You know, I think that in that market probably if you need a model like that, you should download llama. That's the answer. It's like, you don't need much of a cheat sheet on that, you know, and or maybe Mr. All, but pick one of the open source models that are…”
Bret Taylor: Iterative deployment is the most responsible path to AGI
“I believe the most responsible way to develop AGI is responsible iterative deployment. And the reason for that is I believe that as you're thinking about things like the societal impact access to this technology and the safety side of AGI as well, that the, Be…”
Taylor: AI progress won't stall because data, compute, and algorithms alternate bottlenecks
“In any one of those, you could probably make a very rational intellectual case that we're gonna hit a wall, but then you have the two others. And I don't think you can make the case for all three that they're all coming up on a wall. And I think like any big s…”
Taylor: ChatGPT is the most important tech product of the past decade
“At least my understanding why it has a sort of a goofy name is it was a research preview that turned out to be the most important product of the past decade, you know, and I think that, you know, one of the things I think about is, wow, what an important mecha…”
Taylor: Most companies should avoid model pre-training and align costs with usage
“Most companies should be applying AI to build solutions and most companies should have relatively modest training costs and most of their costs should be correlated with inference, which should be correlated with revenue and usage of your product.”
Bret Taylor: AI inference costs will decrease following Moore's Law trajectory
“I'm incredibly optimistic that just the cost of running AI will could probably track something like Moore's law.”
Bret Taylor: Consolidation ahead for AI pre-training companies
“I think we'll see consolidation of companies pre-training their own models you know, and I think that the cost structure of the tools and applications companies are different and perhaps more sustainable.”
Taylor: Conversational AI will replace web and app clicks within five years
“And as a consequence, you know, I think that, you know, if you fast forward four or five years, when you're interacting with any of the consumer brands, you work with your insurance company, your phone company a car rental company, you will probably be having …”
Taylor: Having an AI agent will be essential by 2025
“We like to say like in 1995, the way you existed digitally as a business to have a website in 20, 25, the way you will exist digitally is to have an AI agent.”
Bret Taylor: Conversational AI will become the dominant computer interface
“And my thesis is just like touch screens have come to dominate Our experience with computers because of convenience, you can have a conversation in so many different places. You don't need an instruction manual. I think it will be the main way we work with com…”
Taylor: Smartphones will remain the primary interface for conversational AI
“So in the short term, my intuition is that the combination of a smartphone with Ray-Ban glasses or AirPods or the like probably, you know, meaning you might need to look at your screen less than you do today. But my intuition is because of the prevalence of sm…”
Taylor: Companies must manage AI mistakes operationally rather than eliminating them
“Stop putting, you know, AI software in the bucket of computers and that rule set and how you deal with it to try to get to, you know, five nines of repeatability and say, okay, this is actually gonna be, A really creative, really impactful, much lower cost sol…”
Taylor: Defining AI companies will be applications, not base models
“The focus on hardware and models and not enough focus on the applications of AI. I think many of the defining companies in AI will be delivering consumer and business solutions that happen to be powered by AI, not just the models themselves.”
Taylor: Very few investors have the patience they claim on their websites
“While investors claim to be long-term, very few have the patience that they extol on their website, you know, and it really requires this relentless focus on the future.”
Taylor: Large consumer giants like Apple, Google, and OpenAI will dominate personal agents
“My take is the domain of personal agents is probably of the very large consumer companies like Apple and Google and OpenAI and others that have big consumer brands.”
Taylor: Branded AI agents will define company digital presence by 2025
“In 2025, existing digitally will probably mean having a branded AI agent that your customers can interact with.”
Taylor: RAG is woefully insufficient for meaningful enterprise customer service
“What we found in practice is that broad category of technology investment is woefully insufficient for almost any meaningful customer experience. If you think about, you know, all of the interactions you've had with brands that you care about, what percentage …”
Taylor: AI pre-training will consolidate into a small number of frontier model builders
“I think that will probably play out with the frontier models. We'll end up with a relatively small number of companies doing pre-training you know, which is the really capital intensive part of model building not because, you know, there's not, they're the onl…”
Taylor: Startups degraded by new model releases are wrappers, not real solutions
“If every time there's a new release of an AI model, somehow it decreases your value, it probably indicates you're not actually a solution. You're, you might be a slight value add on top of the models. I think there's a number of startups that unfortunately sor…”