The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 37 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 1 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Taylor: Coding agent success doesn't translate to broad knowledge work
“And so it's not like impossible for an agent to use those things, but the idea that you can like straight line from coding agents to writing the Stripe annual letter, I don't totally buy.”
Taylor: Mimicking codebases is currently the best harness for AI agents
“I wonder if in the short term, it might just be one of those idiosyncrasies of history, like mimicking a code base is actually the best way to make a general purpose agent work. And maybe over time we'll get fancier than that, but it's actually like a relative…”
Taylor: In agentic development, PRDs and intent are more durable than code
“Where there's a lot in, in the code that is more transient. You know, you might be fine to Delete that. What was the intention? What was the PRD? Like, what was the customer problem? Is actually the more durable asset.”
Taylor: Future engineers cannot be precious about writing code by hand
“I feel like I won't be like a self,
Self-actualized software engineer in the future, if I'm too precious about that artifact, which used to be so central to me.”
Taylor: Hierarchical multi-agent architectures are elegant on whiteboards but nonsensical
“I feel like this view of a multi-agent world was you have all these agents that do tasks that are fraud detection. You know, another one over here for, you know, personalization, and then you make a super agent, it does all these things, and it looks really go…”
Taylor: Future AI agents will evolve away from Model Context Protocol
“My sense is we're making true agents over time the way we think about context and how that context is sort of like shared so that the agent that's orchestrated it actually understands sort of what's behind all these APIs and why and the history will maybe look…”
Taylor: AI agents will become the primary digital interface for most businesses
“And so then you look at AI agents, and I believe most businesses, it will be their primary digital interface, and it's because it works over WhatsApp, and it works over the phone.”
Taylor: Broadly accessible AI is an imperative, not a competitive advantage
“If every single company in an industry has access to technology, I would say it's an imperative, not a competitive advantage.”
Taylor: SaaS sector will likely lose value over the next ten years
“Will these companies be less valuable 10 years from now than now? I think the answer is probably yes. Will that be true for every individual company? I don't think that's true.”
Taylor: Database ledgers are durable against AI; systems of engagement are not
“My theory is the closer you get to literally the database is the value, i.e. A ledger, the more durable it is. The closer you get to be in a system of engagement, the less durable it is.”
Taylor: Pausing model development today still leaves trillions in unrealized economic value
“I think if we paused model development, we'd still have trillions of dollars of economic value. That have yet to be realized.”
Taylor: AI adoption is bottlenecked by startups building tools over business agents
“I actually think one of the main things impeding adoption of AI is the lack of existence of all those other companies. And so many of the startups, particularly around here in San Francisco are basically doing relatively rote kind of tools around the AI rather…”
Taylor: Software engineering shifted from the most scarce to most plentiful asset
“Software engineering was the most scarce access asset in a company, and now it's the most plentiful, and I don't think we've ever lived in that world.”
Taylor: Atomic unit of AI productivity is a process, not a person
“I think the atomic unit of productivity in AI is a process, not a person.”
Taylor: Automating entire departments is science; automating specific processes is engineering
“And my point on it is, if you look at it through the lens of like an end-to-end business process, you can turn science into engineering. And I think solving legal through AI, that's a science problem.”
Taylor: Generalist product engineers using AI are worth 1,000x other engineers
“With the presence of Codex, you can produce amazing results. Those people are truly worth a thousand X other people, because it's relatively easy to find someone who's a great infrastructure engineer. Not easy easy, but like relatively. Finding someone with go…”
Taylor: Most Silicon Valley companies will stop hand-writing code by mid-2026
“And then the other thing is I think most companies in Silicon Valley won't write code by hand.”
Taylor: Sierra AI agents are calling each other in English over PSTN
“So, we have payers with AI agents that pick up the phone. And we have providers that have AI agents that pick up the phone and make phone calls. We have revenue cycle management companies that work to make outbound calls to do it. We've already had- ... We've …”
Taylor: Agent-to-agent phone calls are temporary until better harnesses emerge
“I think it's great that our agents have spoken over the telephone already in English. ... But I don't think it's like the long-term future because there's so much value that you can provide. And put another way, the agents using a sophisticated... Application …”
Taylor: Sierra reached $100M ARR in seven quarters, now around $165M
“We reached a hundred million dollars in ARR in seven quarters, a 150 in eight quarters. We're, I think, around one 65 now, one month into our you know, next quarter or so.”
Taylor: Ramp automates 90% of its customer support cases using Sierra
“Well, they're automating 90% of their cases.”
Taylor: Grounding AI agents is harder for famous brands than obscure ones
“It's actually easier when the internet has never heard of you and you want to make a well-grounded agent, it's actually pretty easy because there's no temptation from the LLMs to go off script. So actually, I would say. Ironically, the harder challenge is when…”
Taylor: Applied AI startups must build ahead of models and discard code
“So the interesting part about building an applied AI company is you can't have the luxury Of waiting for all the models to catch up with your aspirations. But you know they will. So you have to have the best technology and have to be comfortable with throwing …”
Taylor: Sierra uses outcome-based pricing, charging only for fully resolved cases
“So, we do outcomes-based pricing. So, for a customer service context, that means if the AI agent resolves the case, no human intervention there's a pre-negotiated sort of rate for that, and if we do have to escalate to a person, it's free. For sales, it would …”
Taylor: AI token usage does not strongly correlate with delivered business value
“I would argue there's not a strong correlation between token usage or utilization and value. There may be, but there's not always”
Taylor: Overly lean startups risk losing to slightly larger, well-staffed competitors
“If all of a sudden for some you know, clever reason you want to prove you can, the idea that, like, a competitor might have 10 people and beat you is probably more likely than even having a ten billion dollar company.”
Taylor: Hobbyist AI agent adoption began with a rogue open-source project
“It's probably the first, I wouldn't have predicted the first kind of broad, I don't know if consumer is exactly accurate, but maybe a hobbyist use of AI would have been this kind of semi-rogue open source project that goes through three name changes in three d…”
Taylor: Attempting to transition to a workflow where he writes no code
“I am trying to get to a world where I'm not writing code.”
Taylor: AI automation actually increases average human support handle time
“The cases that do make its way to your customer service team can end up more complex, sort of, by definition. So what's called average handle time will actually go up.”
Taylor: Early AI adoption offers a temporary window to shuffle market share
“This is the moment where perhaps if you have a competitive equilibrium, you can absorb this technology, use it. And you'll have this window where you can like actually like shuffle the deck.”
Taylor: Specialized Cantonese voice AI will be fully commoditized within three years
“So we did all this work, and in fact, you know, we, I think, have the best Cantonese support on the market. Great for us, and it's a huge selling point, and it's a technology that will certainly be commodity, commoditized in three years.”
Taylor: Lower marginal software costs will drive a build-over-buy enterprise shift
“One risk is that more people will build than they do now versus buy, because the marginal cost of writing software goes down. I think that'll be true for some software, particularly developer platforms and things like that that are Already being consumed in pu…”
Taylor: AI agents should drive long-term relationships, not isolated conversations
“I think AI agents should have memory. I think AI agents should drive relationships, not conversations.”
Taylor: Altman and the OpenAI board mutually agreed on him as mediator
“Basically my understanding was I was the person that both the Existing board and Sam agreed upon to kind of help mediate the situation.”
Taylor: The OpenAI board's sole fiduciary duty is ensuring AGI benefits humanity
“The fiduciary duty is you have a duty to the mission. And that is really clarifying and interesting as well, because when you're making decisions and you realize, you know, you have, your sole duty is to ensure that artificial general intelligence benefits hum…”