Roman Chernin
speaker
1,558 appearances
3 recordings
3 series
first heard May 2026
last heard 7 Jun
Roman Chernin’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 3 in all, peaking in Jun 2026 with 2.
Appearances
And that's the way where you may consider to shift from frontier closed models to open source.
The most important kind of cause of those models is not just the open source, but they are tunable, they are trainable.
So you can take them and you can do something, you can post-train them.
And you can create the specialized model that in your particular case may work better.
So that's we see over the world, over the use cases.
But why doesn't it hurt Anthropic and OpenAI?
Because in reality, they move to the next frontier.
And to the previous point that we discussed, there are so many unsolved tasks or the tasks that not necessarily have the limited budget
to be solved.
And every time we see, and we saw it with DeepSeq one year ago, and we continue seeing it now, every time we find the way to solve some task more efficient, we just start solving more complex tasks at the same time.
This is a continuous journey, I believe.
So you always push the frontier, you always have the more complex tasks to figure out how to solve,
When you figure out how to solve them, you can go down and reduce the price or improve the quality, but we have so many unsolved tasks that Anthropics and OpenAI and all other frontier models still have such a not addressed yet time, not addressed yet market, and they continue kind of exponentially grow.
Do you buy that?
Actually, most of the people are concerned on the other side, like will we have a strong enough open source and strong enough specialized models environment to build this floor?
I think that we're yet at such an early point of adoption.
We have so many unsolved problems yet that it's just a matter of the total pie.
I think there is enough space to solve so many tasks in the future that it's enough pie for both frontier capabilities and very tuned models for specific use cases and all the world of these open source or specialized models that we can build on top of them to gain these economics advantages and performance advantages when we know what we need.
You said that every time we have the cheaper model, it hurts the business.
And my favorite anecdotal story about that is, I think 15 months ago or so, there was this deep-seek moment, if you remember.
Showing 41–60 of 1,558 · page 3 of 78
← Previous
Next →