Scott Singer
speaker
86 appearances
1 recordings
1 series
first heard Jul 2026
last heard 28 Jul
Scott Singer’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
I think it's really a lot of happenstance more than it was any initial intentional strategy or ideology.
If we look at the history of AI model development, a lot of the initial general purpose frontier AI models that were coming out of places like OpenAI and then Anthropic...
were proprietary.
The weights were not accessible to any sort of outside users.
And so for China, there was a question of where and how they might be competitive on the global marketplace for advanced AI models.
And so having models for the weights that are openly available and can be used by companies and startups and can be fine-tuned or adjusted
so that they can fit whatever purpose they have.
That was sort of the area where, you know, China couldn't necessarily compete on having the most advanced capabilities, but they could have leaner, cheaper models that would be useful across the startup ecosystem and for companies.
Distillation is basically taking a much stronger model or a bigger model and using it to build a sort of smaller, cheaper model.
And so that is the sort of crux of what's happening here.
And you can, in an open model, you can take, in these cases, Chinese companies, but there's been allegations that American companies are doing this as well.
you know, taking what is American innovation, American products and using that to power these Chinese products.
And distillation is a super common practice in AI and on its own is not sort of something to, you know, be too focused on or see as especially malicious.
But the question is really tied to intellectual property, trade secrets, as well as fraud.
So the way in scale that some of the Chinese companies have been accused of
Sort of leveraging American IP in this case is through, for example, building up a bunch of fraudulent accounts, getting the outputs from the American AI models, and then using that output to train their own models.
And so there's this sort of thorny legal battle that gets at the heart of a sort of broader geopolitical question.
which is basically, you know, what are the rules of the game in terms of this very technical process?
And it is more representative of this sort of open versus closed battle.
Even distillation itself is sort of a widely accepted common practice across AI.
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