Ilya's interview has been widely cited. I won't address meta points but share 2 cents on two mundane issues.
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Ilya's interview has been widely cited. I won't address meta points but share 2 cents on two mundane issues.
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I will start with the leaderboard phenomena. This is a feature, not bug. Model training is a project under founder mode. But still like all projects, it needs north stars. And you guess right, (famous) leaderboards are the north stars.
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I will start with the leaderboard phenomena. This is a feature, not bug. Model training is a project under founder mode. But still like all projects, it needs north stars. And you guess right, (famous) leaderboards are the north stars.
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For those startups which found PMFs, many maintain their own proprietary leaderboards/benchmarks condensed from user traffic. The path is blocked on both directions: startups won's share their moats, model makers won't prioritize either.
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For those startups which found PMFs, many maintain their own proprietary leaderboards/benchmarks condensed from user traffic. The path is blocked on both directions: startups won's share their moats, model makers won't prioritize either.
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So instead of complaining, we should celebrate that our prompts work (most of the time)
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So instead of complaining, we should celebrate that our prompts work (most of the time)
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Ilya's interview has been widely cited. I won't address meta points but share 2 cents on two mundane issues.

I will start with the leaderboard phenomena. This is a feature, not bug. Model training is a project under founder mode. But still like all projects, it needs north stars. And you guess right, (famous) leaderboards are the north stars.

For those startups which found PMFs, many maintain their own proprietary leaderboards/benchmarks condensed from user traffic. The path is blocked on both directions: startups won's share their moats, model makers won't prioritize either.

So instead of complaining, we should celebrate that our prompts work (most of the time)


👍
John6666