Saved by Darren LI and
The Next Token of Progress: 4 Unlocks on the Generative AI Horizon
ModelsText is the most advanced domain. However, natural language is hard to get right, and quality matters. Today, the models are decently good at generic short/medium-form writing (but even so, they are typically used for iteration or first drafts). Over time, as the models get better, we should expect to see higher quality outputs, longer-form... See more
Pat Grady • Generative AI: A Creative New World
Generative AI’s first
year out the gate—“Act 1”—came from the
technology-out
. We discovered a new “hammer”—foundation models—and unleashed a wave of novelty apps that were lightweight demonstrations of cool new technology.
We now believe
the market is entering “Act 2”—which will be from the
customer-back
. Act 2 will solve human problems end-to-end.... See more
year out the gate—“Act 1”—came from the
technology-out
. We discovered a new “hammer”—foundation models—and unleashed a wave of novelty apps that were lightweight demonstrations of cool new technology.
We now believe
the market is entering “Act 2”—which will be from the
customer-back
. Act 2 will solve human problems end-to-end.... See more
Sonya Huang • Generative AI’s Act Two
We can decompose the progress in the four years from GPT-2 to GPT-4 into three categories of scaleups:
- Compute : We’re using much bigger computers to train these models.
- Algorithmic efficiencies : There’s a continuous trend of algorithmic progress. Many of these act as “compute multipliers,” and we can put them on a unified scale of growing