Users are enthusiastic that falling token costs will unlock agentic adoption and new automation use cases because they improve ROI for previously uneconomic workflows and enable self-correcting retry loops.
Based on 21 visible X reactions from 38 accounts; directional sample.
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Published answers will appear here.
@levie Large-scale agent adoption is inevitable. AI is too proficient As adoption scales, costs plummet. Lower costs unlock greater intelligence, accelerating adoption. A massive flywheel effect It's not a question of if, but a question of when and what the final landscape looks like
@levie Agents need smarter models, not cheaper tokens. Claude charges premium and wins because complex reasoning is what agents need. Llama's been free for two years without moving OpenAI margins.
@levie cost per token dropping is the single biggest unlock for enterprise AI adoption, seeing this play out in real time with our customers
@levie Lower token costs will unlock countless AI use cases and drive adoption. Can't wait to see what's built next.
@levie cheaper tokens really do unlock a whole new wave of weird useful apps
Hardware startup founder Naveen Rao agrees, targeting compute platform efficiency.
@levie Large-scale agent adoption is inevitable. AI is too proficient As adoption scales, costs plummet. Lower costs unlock greater intelligence, accelerating adoption. A massive flywheel effect It's not a question of if, but a question of when and what the final landscape looks like
@levie Agents need smarter models, not cheaper tokens. Claude charges premium and wins because complex reasoning is what agents need. Llama's been free for two years without moving OpenAI margins.
@levie cost per token dropping is the single biggest unlock for enterprise AI adoption, seeing this play out in real time with our customers
@levie Lower token costs will unlock countless AI use cases and drive adoption. Can't wait to see what's built next.
@levie cheaper tokens really do unlock a whole new wave of weird useful apps
The best way you’re going to continue to get large scale agentic adoption is by continuing to bring down the cost of intelligence. More use-cases open up for AI every time you can have lower cost tokens (for the same or better level of capability). Almost all information work in the future will involve an agent somewhere in the workflow creating, processing, reviewing, or classifying data in some way. This will happen sooner *or* later depending on the cost of tokens of frontier models. Whether this happens from closed or open models is somewhat incidental, but the key is just that it happens. It’s great to see so much innovation and different approaches in AI right now as there are so many more use cases to power.
@GavinSBaker @GavinSBaker you probably heard my spiel so I agree. And we're building it. The cost is going to drop dramatically for intelligence/$...and the winners will be the ones that have the right compute platform!
Users are enthusiastic that falling token costs will unlock agentic adoption and new automation use cases because they improve ROI for previously uneconomic workflows and enable self-correcting retry loops.
Based on 21 visible X reactions from 38 accounts; directional sample.
Ask a question below.
Published answers will appear here.
The best way you’re going to continue to get large scale agentic adoption is by continuing to bring down the cost of intelligence. More use-cases open up for AI every time you can have lower cost tokens (for the same or better level of capability). Almost all information work in the future will involve an agent somewhere in the workflow creating, processing, reviewing, or classifying data in some way. This will happen sooner *or* later depending on the cost of tokens of frontier models. Whether this happens from closed or open models is somewhat incidental, but the key is just that it happens. It’s great to see so much innovation and different approaches in AI right now as there are so many more use cases to power.