Bret Taylor
20 statements across 1 episodes · 8 bullish · 5 bearish · 1 people on the record · first statement Mar 10, 2026 by Bret Taylor · across every show →
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Everything said about Bret Taylor, oldest first
Mar 10, 2026 bullish
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…”
Mar 10, 2026 negative
Mar 10, 2026 neutral
Mar 10, 2026
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 …”
Mar 10, 2026
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…”
Mar 10, 2026 negative
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…”
Mar 10, 2026 bullish
Mar 10, 2026 bullish
Mar 10, 2026 positive
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…”
Mar 10, 2026 bullish
Mar 10, 2026 positive
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…”
Mar 10, 2026 bullish
Mar 10, 2026 negative
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…”
Mar 10, 2026
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 …”
Mar 10, 2026 neutral
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.”
Mar 10, 2026 positive
Mar 10, 2026 negative
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.”
Mar 10, 2026
Mar 10, 2026 neutral
Mar 10, 2026 bearish
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…”