Karpathy's 10-year AGI timeline seen as pessimistic
Andrej Karpathy stating AGI is 10 years away is now considered a skeptical, long-timeline view by many in the AI community.
Snapshot · The a16z Show
Is AI a Bubble? | Gavin Baker on Data Centers, GPUs, and the AI Economy
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Jul 14, 2026
Where this was said
AI Business Models: From Seat Licenses to Outcome-Based Pay
At 29:22 · chapter starts 26:20
David George presses Baker on the harder question beyond obvious use cases like customer support: how does AI actually displace human services at scale, and what business models emerge? Baker's framework is simple — humans are paid for outcomes, AI will increasingly be paid for outcomes too. Customer service is the easy first example: the data is textual, LLMs are strong at text, and the reward signal (happy customer, first call resolution) is easily verifiable with RL. The harder, more interesting question is consumer business models [1] — Gavin Baker "Google never built a marketplace because advertisers systematically overpay, and that inefficiency was Google's profit. AI agents will sque…" 27:05 . Baker's vision: personalized AI agents that know your preferences and actively negotiate on your behalf — booking hotels by soliciting competing offers rather than passively directing you to a website. This eliminates the systematic inefficiency that made Google's advertising model so lucrative: advertisers have always paid more than they should because the customer conversion happened post-click. AI closes that loop, compressing margins but creating more genuine value. He closes with Elon Musk's tweet that 'work will become optional' — a scenario Baker says is not wildly implausible given the technology's trajectory.
The Consumer AI Business Model: From Ads to Outcomes
Google never built a marketplace because advertisers systematically overpay, and that inefficiency was Google's profit. AI agents will squeeze that out, shifting to outcome-based models and affiliate fees. Baker's vision: a personal AI that negotiates hotel prices on your behalf, paid only on results.
Humanoid Robots: The Debate Is Over
The humanoid vs. non-humanoid robot debate is settled. Humanoids can learn from YouTube videos and human demonstrations, and the verification problem — did you put the glass in the dishwasher correctly? — is trivially solved. The robotics race is Tesla versus China, same as electric cars.
Similar snapshots
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Ads don't work for tool apps
Tool-focused apps like PuffCount are poor candidates for ad monetization because users don't stay in-session long enough.
Hard paywall is unskippable
A hard paywall is a screen that blocks all app features unless the user pays or starts a free trial — it cannot be dismissed.
Two core monetization models
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YouTube beats every other platform
According to the episode, YouTube outperforms every other social platform for building trust and driving SaaS conversions.
Most users came from YouTube
Vasco stated that the majority of his app's user base came directly from his YouTube channel.
Boost My Domain Rating button
SEO Bot features a 'Boost My Domain Rating' button that routes users directly to Listing Bot, an example of in-product cross-selling.
All products connected to AI
The founder's entire product portfolio is AI-related, making it easier to package products attractively for directories.
AI coding viability debate as hook
The founder attached their SaaS demo to the trending debate about whether AI coding is actually good enough to build a full SaaS product.
