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1of the trend's 69 episodes
Technology
Model distillation
A technique for training one model on the answers of another: it turns a large model into a smaller one with little loss of quality and lets catching-up labs narrow the gap with the leader. In episode 189 Max Grigoriev uses it to explain why Chinese models stay months behind.
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mentions in the archive
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central to an episode
2
episodes with a mention
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fragments with a timecode
Nov 2026
first mention
Nov 2026
peak · 2 in a month
115
links to other entries
Trends
Model distillation in the author's trends
all 20 thoughts →A link is an episode of the thought where Model distillation is central or discussed in depth, or an author's quote that names it. The bar counts the shared episodes; blue bars are the months they meet on the June 2024 — November 2026 scale.
6 of the author's 20 thoughts are linked to Model distillation · “Details” shows the shared episodes and a quote
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1of the trend's 53 episodes
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1of the trend's 51 episodes
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1of the trend's 36 episodes
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1of the trend's 42 episodes
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1of the trend's 35 episodes
Not linked · 14
thoughts whose episodes don't feature Model distillation centrally or in depth
01Familiar search, browsers and apps will give way to AI dialogue04Use AI every day and for everything05Pay for AI and switch on the strongest mode06Those who use AI will pull ever further ahead of the rest07Tell AI about yourself and give it your data10Work with AI directly, without bots and middlemen13Hand AI the whole task and demand a finished result14Double-check AI answers15Do not spend money on the hype around “agents”16What matters is grasping the whole task, not a profession or degree17AI changes in weeks, not years18Rebuild processes for AI instead of automating the old ones19Upload your test results to AI as a second opinion20Models are already smarter than any expert