Ben pulled live Google Trends data mid-episode: Claude searches dropped 30–40% over the summer while ChatGPT fell only 10%. The Codex vs Claude Code race is now neck-and-neck after Claude Code led all of Q2.
Podbit · God Mode Podcast
Ben pulled live Google Trends data mid-episode: Claude searches dropped 30–40% over the summer while ChatGPT fell only 10%. The Codex vs Claude Code race is now neck-and-neck after Claude Code led all of Q2.
Where this was said
At 22:40 · chapter starts 22:32
Ben opens Google Trends live on air and shares what he sees: Claude peaked in February, roughly when both hosts deleted their ChatGPT subscriptions and went all-in on Anthropic. Since then, Claude has slid from a relative score of around 33 down to 21 — a drop of 30 to 40% — while ChatGPT's summer dip has been a comparatively mild 10%. OpenAI's CFO had boasted in July that the company added more net ARR that month than in all of Q2, and the Trends data corroborates it. The Codex vs Claude Code comparison tells a similar story: Claude Code dominated Q2, but by June Codex had pulled level. Rik connects this to what they observed in practice — Claude Code was everywhere on Instagram in the spring, but OpenAI was aggressively pushing Codex migrations on Twitter and it worked.
Ben observed that Claude's Google Trends score dropped roughly 30–40% over the summer while ChatGPT fell only about 10%, signalling a sentiment shift back to OpenAI.
Ten episodes ago Rik laid out a SpaceX bear case centred on a $101 billion insider unlock. Today it's playing out live: the stock is 35% below IPO, more than doubling the public float. The lesson isn't just about SpaceX — it's about entry price mattering as much as thesis quality.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
By 2006, AI algorithms were stuck because they were being trained on almost no data. Fei-Fei Li's insight: human children see tens of thousands of object categories by age 6 — so machines needed massive data too. ImageNet's 15 million images, combined with GPU power and better algorithms, triggered the modern AI revolution in 2012.
The ImageNet challenge pitted machines against humans on recognizing 1,000 object categories. Humans clocked a ~4% error rate. In 2012, a neural network smashed previous AI performance — and by 2016, machines had surpassed humans entirely. That single benchmark created the modern AI era.
When video was added to AI training data in 2023, something clicked: machines could generate plausible motion without knowing muscle anatomy — just from watching millions of cat videos. Sora's January 2024 release proved AI had crossed into temporal, physical understanding.
AI is trained on the internet — the largest archive of human behavior ever assembled. But the most profound human thoughts, Picasso's creative flash, a private childhood memory tied to a gray cup, have never been uploaded anywhere. That's the gap AI cannot close.
AlphaGo's Move 37 against Lee Sedol shocked Go masters — no human had ever conceived it. But Fei-Fei Li urges caution: Go has fixed mathematical rules, and AI's bigger compute simply found a configuration human memory couldn't retain. That's creativity in a constrained space, not the open-ended kind.
Surface-level intuition — the kind you can describe in words — is just context, and AI already handles that. But the deeper kind: the feeling shaped by what you ate, your hormones, and a mood you can't name? That has no sensory apparatus feeding it to any machine. It's inaccessible, and will remain so until brainwave-level sensors exist.
Self-driving cars already exist. But the real robot revolution — robots assisting the elderly, fighting wildfires, supporting overworked nurses — is a 20-30 year arc, not a 2-year one. Hardware plus AI moves slower than software alone, but the impact will be civilizational.
Language AI is powerful, but humans evolved in a spatial, physical world. WorldLabs is building foundational models for spatial and 3D intelligence — letting people generate entire environments from a sentence or sketch. The applications span filmmaking, robotics training, architecture, and healthcare.
We use essential and analytics cookies to run Vuci. To understand how the site is used: Privacy Policy.
Install Vuci on your phone
Add it to your home screen for a faster, app-like experience.
Install Vuci on your phone
Tap the Share button, then “Add to Home Screen”.
A new version is available
Reload to get the latest Vuci.