A significant and growing share of new internet content is AI-generated, which itself feeds back into training future AI models, compounding the distillation dynamic.
Snapshot · The a16z Show
A significant and growing share of new internet content is AI-generated, which itself feeds back into training future AI models, compounding the distillation dynamic.
Where this was said
At 20:05 · chapter starts 19:25
The distillation debate is one of the episode's richest segments. Krishnan starts by resetting the framing: distillation — learning from the outputs of other models — has been foundational to AI development since the beginning. [1] — Sriram Krishnan "Chinese AI companies can distill reasoning traces from American models with little consequence. Meanwhile, a Silicon Valley startup trying …" 22:10 Every model from the original GPT to Claude bootstrapped itself from human knowledge crawled off the internet. And now much of that internet is itself AI-generated (AI slop), which feeds back into training. Krishnan amusingly reveals he once ran his own tweet through an AI detector to confirm it read as human-written. The real issue, he argues, isn't distillation per se — it's the asymmetry. Chinese AI developers can freely harvest reasoning traces from American frontier models, while U.S. startups face genuine legal uncertainty about whether they can distill from other American models. [2] — Sriram Krishnan "Uneven distillation playing field for U.S. vs. China: Chinese AI developers can freely distill reasoning traces from American models, while…" 22:10 He credits Sequoia's Dean Meyer for articulating this clearly in a recent post, and Ben Thompson of Stratechery for reaching a similar conclusion independently. The solution: enshrine distillation rights for American model developers to level the playing field. The irony he notes in passing: current American open-weight models themselves use Chinese models as teacher models in fine-tuning, highlighting just how entangled global AI development has become.
Every major AI model, from the original GPT to Claude, has been trained through distillation from human-generated internet content, making distillation an inherent part of AI development.
If an open-weight model provides genuine value, the entire supply chain — from NeoCloud to chip providers to data center operators — will naturally orient itself to support it.
If an open-weight model provides real value, every layer beneath it — from NeoCloud providers to chip makers to data center operators — will organize around it. Sriram Krishnan says the spectacular growth of inference clouds and the broader ecosystem already proves this out.
After 18 months as the White House's Senior AI Policy Advisor, Sriram Krishnan is focusing on the mission he's been working on in different forms for years: ensuring America and its allies get access to AI at scale through better government-industry cooperation.
The founder attached their SaaS demo to the trending debate about whether AI coding is actually good enough to build a full SaaS product.
Quickly forming opinions on how the Twitter algorithm and platform worked allowed the speaker to grow rapidly on the platform.
Sam's initial MVP was coded in approximately one week using ChatGPT voice mode and copy-pasting code, with no prior technical experience.
Sam argues Discord is 10x better than email for building relationships with younger users who rarely check their inbox.
Sam's monthly operating costs include Cursor ($200), AI image generation ($100), AI video generation ($200), hosting ($100), email marketing ($80), and AI compute ($300–$500).
Sam recommends copying days of Discord chat history into ChatGPT and prompting it to list recurring pain points as a fast, free market research technique.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
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.