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No Priors: Artificial Intelligence | Technology | Startups

The Best of 2025 (So Far) with Sarah Guo and Elad Gil

18 min episode · 2 min read
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Episode

18 min

Read time

2 min

Topics

Productivity, Health & Wellness, Startups

AI-Generated Summary

Key Takeaways

  • Early GPT-3 Legal Testing: Harvey tested GPT-3 on 100 landlord-tenant questions with chain-of-thought prompts. Three attorneys approved 86 answers as sendable without edits, revealing legal AI capability before widespread recognition.
  • Test-Time Compute Efficiency: OpenAI reasoning models achieve steeper scaling curves when given tool access. Models defer tasks without comparative advantage to specialized tools, allocating compute more efficiently than pure token generation.
  • Bad Markets Become Good: Enterprise search failed pre-SaaS due to data access challenges. SaaS systems with unified APIs and standardized versions enabled turnkey search products, transforming a graveyard market into viable opportunity.

What It Covers

Best moments from 2025 AI podcast episodes featuring founders from Harvey, OpenAI, Glean, Abridge discussing breakthrough applications, reasoning models, workforce displacement, and healthcare transformation.

Key Questions Answered

  • Early GPT-3 Legal Testing: Harvey tested GPT-3 on 100 landlord-tenant questions with chain-of-thought prompts. Three attorneys approved 86 answers as sendable without edits, revealing legal AI capability before widespread recognition.
  • Test-Time Compute Efficiency: OpenAI reasoning models achieve steeper scaling curves when given tool access. Models defer tasks without comparative advantage to specialized tools, allocating compute more efficiently than pure token generation.
  • Bad Markets Become Good: Enterprise search failed pre-SaaS due to data access challenges. SaaS systems with unified APIs and standardized versions enabled turnkey search products, transforming a graveyard market into viable opportunity.

Notable Moment

A doctor told her son at dinner that Abridge lets mommy come home early now, explaining she can eat with family every night instead of working late.

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Episode Transcript

2025 has been another remarkable year in AI. This week on no priors, we're sharing our favorite moments from the podcast from the year so far. We've talked to visionary leaders at Harvey, OpenAI, Glean, Abridge, and more. We also talked to legends of science like doctor Fei Fei Li and Noubar Afeyan. But first, let's start with the moment that captures the magic of leaning into new capabilities at the right time. Harvey CEO Winston Weinberg discovered an extraordinary opportunity hidden in plain sight. Gabe and I actually had met a couple years before, and I definitely didn't know anything about the startup world and didn't have a plan of of doing a startup. And what had happened was he showed me GPT three, which at the time was, you know, public. And and I was, first of all, just incredibly surprised that no one was talking about GPD three and no one was using it in any way, shape, or form. And he showed me that, and I showed him kind of my legal workflows. And we started the the kind of moment was we went on, r slash legal advice, which is basically, you know, a subreddit where people ask a bunch of legal questions, and almost every single answer is, so who do I sue, almost every single time. And we took about a 100 landlord tenant questions, And we came up with kind of some chain of thought prompts, and this is before, you know, anyone was talking about chain of thought or anything like that. And we applied it to those landlord tenant questions, and we gave it to three landlord tenant attorneys. And we just said nothing about AI. We just said, here's a question that a potential client asked, and here is an answer. Would you send this answer without any edits to that client? Would you be fine with that? You know, is that ethical? Is it a good enough, answer to to send? And 86 out of a 100 was yes. And, actually, we cold emailed the general counsel of OpenAI, and we sent him these results. And his response basically was, oh, I had no idea the models were this good at legal. And we we met with the the c suite of OpenAI a a couple weeks after. Now from legal reasoning to spatial intelligence, the legendary doctor Fei Fei Li opened our eyes to an entirely different dimension of AI capability. I think from a neural and cognitive science point of view that spatial intelligence is a really hard problem that evolution has to solve for animals. And what's really interesting is I think animals have solved it to an extent, but not fully solved it. It's one of the hardest problem because, what is the problem animal has to so solve? Animals have to evolve the capability of collecting lights in something, which we call eyes mostly. And then with that collection of eyes, it has …

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