If society does not recognize drugs like fentanyl as a distinct "super drug" class and implement substantially different, stricter policies to address them, the associated social problems (addiction, overdoses, visible street drug use) will continue to worsen over time from the 2023 baseline.
“These are super drugs until people realize, like, these are a different class of drugs and they start treating them as such. It's going to just get worse. There's no path.”
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Explanation
The fentanyl crisis and broader opioid epidemic continued to worsen through 2023-2024 in terms of overdose deaths and visible street drug use in many US cities, before beginning to show some improvement only more recently.
Due to California’s swing from a large budget surplus to a roughly $25 billion deficit, Governor Gavin Newsom will not be able to significantly increase funding for new mental health and homelessness initiatives, and the homelessness problem in California is likely to worsen in the near term (the next few years following early 2023).
“And he's not in a position now to do any of this stuff. So this homeless problem may get worse.”
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Explanation
California's homelessness crisis did continue and in many respects worsened through 2023-2024 amid ongoing fiscal pressure, though Newsom did continue pursuing some mental-health and homelessness initiatives (e.g., CARE Court) despite the deficit.
At some point in the future, Google will open source its large AI models, making them widely available and likely free, as a strategy to reinforce the value of Google Search.
“let me just make a prediction. I think that Google will open source their models, because the most important thing that Google can do is reinforce the value of search. And the best way to do that is to scorch the earth with these models, which is to make them widely available and as free as possible.”
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Explanation
Google has released some open-weight models (the Gemma family) since 2024, partially consistent with this prediction, but its flagship, most capable Gemini models have remained proprietary and closed rather than being fully open-sourced.
Generative AI services like ChatGPT will ultimately be required—via legal or market pressure—to provide citations/links to their data sources and obtain permission from data owners in order to operate at scale.
“So ChatGPT and all these services must use citations of where they got the original work. They must link to them and they must get permission. That's where this is all going to shake out.”
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Explanation
Some AI companies have entered into licensing/citation deals with publishers (e.g., OpenAI's deals with News Corp, Axel Springer), but a universal legal or market requirement that all generative AI services cite sources and obtain permission has not been fully established, with major cases like the NYT v. OpenAI suit still unresolved.
Over the coming years, essentially all software-dependent business models that are based on traditional information retrieval will be restructured or replaced to incorporate AI-driven synthesis capabilities.
“fundamentally every business model can and will need to be rewritten. That's dependent on the historical, on the legacy of kind of information retrieval as the core of what computing is used to do.”
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Explanation
Many software business models have begun incorporating AI-driven synthesis capabilities (AI search, copilots, agents) since 2023, but a wholesale rewriting of 'essentially every' information-retrieval-based business model has not yet occurred, remaining an ongoing transition.
If a legal-domain AI model is trained for roughly a year with intensive reinforcement learning from a team of associates, its precision and recall on legal tasks will reach near-perfect levels, effectively suitable for high-stakes legal use.
“If you had a bunch of associates It's bang on some law model for a year. Again, that's that reinforcement learning we just talked about. I think you'd get precision recall off the charts and it would be perfect”
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Explanation
Legal AI tools have improved substantially and some specialized legal AI products claim high accuracy on narrow tasks, but 'near-perfect' precision/recall suitable for unsupervised high-stakes legal use has not been clearly demonstrated or independently verified as of the mid-2020s.
Within the next several years, foundational OpenAI-like capabilities (large language models, etc.) will become widely available from multiple vendors and will be at least partially commoditized, reducing durable advantage from the core models themselves.
“you said that these open AI capabilities are eventually going to become commoditized or certainly much more widely available... there'll be multiple players that offer them.”
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Explanation
Large language model capabilities have become significantly more commoditized since 2023, with multiple credible vendors (OpenAI, Anthropic, Google, Meta's open-weight Llama models, and various Chinese labs) offering broadly comparable capabilities.
Within the next few years, "prompt engineer" will emerge as a recognized job title and valued professional skill, with top practitioners seen as 10–20x more productive than average knowledge workers when using AI tools.
“Just building on this conversation, I just realized, like a great prompt engineer is going to become a title and an actual skill, the ability to interface with these... AIS... That person is going to be 10 or 20 times more valuable. They could be the proverbial ten x engineer in the future of as as in a company.”
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Explanation
'Prompt engineer' did emerge as a recognized job title and skill through 2023-2024, though by 2025-2026 the term has somewhat faded in favor of broader 'AI engineer'/'agent builder' framings as the field matured.
Within approximately 3–5 years (by around 2026–2028), advances in AI and automation will make it feasible to operate a large software company like Twitter with roughly 98% fewer employees than its pre-layoff staffing level.
“We could be sitting here in three or 4 or 5 years, and instead of running a company like Twitter with 80% less people, maybe you could run it with 98% less people.”
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Explanation
AI and automation have enabled meaningful headcount efficiency at software companies (X itself operates with a dramatically reduced staff since 2022), but a documented case of running a company at Twitter's scale with 98% fewer employees than its pre-layoff peak specifically due to AI advances by 2026-2028 has not been clearly confirmed.
1) In 2023, a major book publisher will publish a novel primarily generated by AI. 2) A major symphony orchestra will perform a symphony primarily composed by AI within roughly the same near-term horizon. 3) A primarily AI-generated screenplay will be turned into an AI-generated 3D movie that achieves broad public viewership in this near-term period. 4) Within about 3–4 years from early 2023 (by ~2026–2027), consumer tools will exist that allow ordinary users to create their own AI-generated video games by verbally or textually specifying the world and game they want.
“When's the first AI novel going to get published by a major publisher? I think it happens this year. When's the first AI symphony going to get performed by a major symphony orchestra, and when's the first AI generated screenplay get turned into an AI generated 3D movie that we all watch? And then the more exciting one, I think, is when do we all get to make our own AI video game... I don't think that's happening for the next 3 or 4 years”
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Explanation
No major book publisher published a primarily AI-generated novel in 2023 as a headline event, no major symphony orchestra performed a primarily AI-composed symphony, and consumer tools allowing ordinary users to generate their own full AI video games by simply describing them were not broadly available within the predicted 3-4 year window, though AI-assisted game development tools have advanced.
Following the discovery of classified documents in Biden’s possession, the Department of Justice under Merrick Garland will drop, or significantly scale back, any prosecution of Donald Trump related specifically to his handling of classified documents at Mar-a-Lago.
“I think Merrick Garland now is going to have to drop the prosecution against Trump for the stolen documents, or at least that part of what they're investigating him for.”
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Explanation
The DOJ under Merrick Garland did not drop the classified documents prosecution against Trump; Special Counsel Jack Smith indicted Trump on 40 felony counts related to the Mar-a-Lago documents in June 2023, and the case proceeded (before ultimately being dismissed by Judge Cannon in 2024 on separate special-counsel-appointment grounds, not because DOJ dropped it).