Discover/Grit

The Grittiest Conversations of 2025: AI, Business & Beyond

GritDec 29, 202541 min

This episode dives deep into the unintended consequences of Google's decision to open-source the transformer architecture, exploring whether the AI revolution we're witnessing today might never have happened if tech giants had kept their breakthrough innovations proprietary. The conversation tackles the massive capital investments reshaping the industry and examines how AI's content aggregation threatens the fundamental economics of web publishing.

Key takeaways

  • •Google's decision to open-source transformers may have been a historic miscalculation that enabled competitors to build ChatGPT and capture the AI moment.
  • •Current AI investment levels are unprecedented in scale, creating a high-stakes scenario where missing the wave could mean losing entire market positions.
  • •AI content aggregation is breaking the traditional web traffic model by giving users answers without driving them back to original sources.
  • •The complexity of cutting-edge AI research has created such specialized knowledge barriers that even industry insiders can't fully comprehend the technical details.
  • •Alternative history scenarios suggest the academic community might have independently developed similar architectures, making Google's open-source decision less pivotal than it appears.

Listen to full episode

0:00

Best moment

24:03· 19sBold/Contrarian

I don't think Google had any idea then. Otherwise, they probably wouldn't have given it away. Would it have blown up like this if it's been a secret? Would Google have created the ChatGPT moment?

24:03 / 24:22

I don't think Google had any idea then. Otherwise, they probably wouldn't have given it away.

Yeah. Yeah. Tell yeah. Tell me. Yeah. Well, I mean, would it have been big if Google didn't give it away? Would it have blown up like this? Right? Like, it's been a secret. You were saying, would Google have known what to like, would Google have created

the Chat CPT moment?

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“Like, we've never seen dollars spent like this.”

at 8:51

5 clips

Ordered by timestamp. Jump to the moment you care about.

Grit

Consequences

We've never seen dollars spent like this. What if they're wrong? What if this is maybe not even enough investment? What if Microsoft decided not to do it, and Meta and Amazon did? They missed the whole thing.

Series of escalating 'what if' questions that capture the high-stakes nature of AI investment. The contrast between 'never seen dollars like this' and 'what if it's not enough' creates tension that drives engagement.

8:51 - 9:0716s

Grit

Domain Expertise

Most of the data we produce, if you were to read it, you could lock me in jail for thirty days and ask me to solve one of these physics problems. I can't even barely read the type of data that we create because it's really experts in PhDs.

Vivid metaphor about the complexity of AI training data that makes technical concepts accessible. The 'lock me in jail for 30 days' imagery is memorable and the self-deprecating admission creates relatability while highlighting expertise gaps.

23:23 - 23:3917s

Grit

Bold/Contrarian

I don't think Google had any idea then. Otherwise, they probably wouldn't have given it away. Would it have blown up like this if it's been a secret? Would Google have created the ChatGPT moment?

This is a provocative counterfactual about one of tech's biggest strategic mistakes - Google giving away the Transformer architecture that enabled OpenAI's dominance. The hook questions whether AI would have exploded without open access, challenging the narrative of inevitable progress.

24:03 - 24:2219s

Grit

Bold/Contrarian

Would the academic community have created a different architecture under a different name that looked very similar and felt very similar? Maybe Google had its proprietary transformer model, which nobody could use because it was IP and it didn't become very popular.

Counterfactual speculation about alternative AI timelines that challenges the narrative of Google's mistake. The contrast between open vs proprietary development models resonates with current tech debates about open source AI.

24:25 - 24:4520s

Grit

Consequences

If the AI crawlers go crawl the web and get all the content, when you go to your Perplexity or ChatGPT, do you go back and look at the original source? No. You just read it right there. The original source isn't getting compensated.

Identifies a fundamental business model disruption in clear, accessible terms. The rhetorical question format engages viewers while highlighting an economic consequence most users haven't considered.

30:05 - 30:4035s

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