Quotesby GlyphBen Thompson quotes on AI, with sources
Author, Stratechery · 16 quotes · latest Sep 21, 2026
- A world with sufficient compute is one where intelligence is a commodity, and in commodity markets margin comes from a superior cost structure, which I would expect the leading model providers to have, in part because they have a meaningful lead in scaling and can apply superior AI to their infrastructure.
- Indeed, that’s probably the overhang that matters most of all: competition. Anthropic is fine with Anthropic being in the lead; anyone else requires government intervention.
- Once you have put all of your information into a personal agent and actually incorporated it into your day-to-day life, it is much more of a challenge to change to something else.
- Pure capability no longer translates directly into a moat.
- The fact of the matter is that LLMs are, if anything, too obsequious; there simply isn’t any evidence of LLMs having a will or operating with malevolence.
- Truly effective defense will mean truly trusting agents to act autonomously, but most companies won’t do that until they are forced to by regular and unremitting hacks by fully autonomous attackers.
- What this means is that model performance isn’t the only thing that matters: the integration between model and harness is where true agent differentiation is found.
- And, in the long run, this imperative to move up the stack does mean that frontier models are absolutely a threat to software providers, including Microsoft.
- Second, intelligence isn’t in fact a perfect commodity, in part because applied intelligence makes itself smarter.
- The long and short of it is this: marginal costs are back in a big way, both in terms of short-term implications of state-of-the-art free models, and in terms of the long-term structure of the industry.
- The reason this matters is that we are rapidly approaching a state in which intelligence for many economically beneficial tasks is in fact a commodity.
- Agents, however, will tilt much more heavily towards pure acceleration, making those drivers of value much more impactful.
- AI, however, not only gives the aforementioned excuse to undo that bloat, but also moves the “rightsize” point significantly towards a much smaller workforce.
- I’ve come to a different conclusion: I don’t think we’re in a bubble (which, paradoxically, maybe is the truest evidence we are).
- The economic imperatives are going to be impossible to resist, and will fuel demand for even more compute over time, further supporting the case that this is no bubble.
- Yes, AI still needs agency; it just doesn’t need agency from that many people for its impact to be profound.