Positive users highlight how falling AI token costs unlock new agentic apps and workflows that were previously uneconomical, while a few argue agents need smarter models instead.
Based on 18 visible X reactions from 35 accounts; directional sample.
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@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 Every decimal point we drop on token costs unlocks a massive wave of practical enterprise use cases that were previously cost-prohibitive.
@levie Lowering the cost of intelligence is key to expanding AI adoption and unlocking new use-cases
@levie Lower token costs will unlock countless AI use cases and drive adoption. Can't wait to see what's built next.
Hardware startup founder Naveen Rao agrees, targeting compute platform efficiency.
@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 Every decimal point we drop on token costs unlocks a massive wave of practical enterprise use cases that were previously cost-prohibitive.
@levie Lowering the cost of intelligence is key to expanding AI adoption and unlocking new use-cases
@levie Lower token costs will unlock countless AI use cases and drive adoption. Can't wait to see what's built next.
@levie Sí, el costo bajo abre todo
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!
Positive users highlight how falling AI token costs unlock new agentic apps and workflows that were previously uneconomical, while a few argue agents need smarter models instead.
Based on 18 visible X reactions from 35 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.