“Create a separate guest network, so that those devices are isolated from the primary devices within the school community.”
♫
Said on Public Risk Management
“…the post-training that they’re doing… will make the models way better at coding or specific things you care about… that’s probably been the biggest moat.”
Eric Bigelow, Goodfire · "The Cognitive Revolution" · How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning
Play from 52:06
52:06
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What was described
Argues that post-training, not model size, is the primary moat separating proprietary from open-source LLMs
Said nearby on the same subject
“You have to have a proprietary model that you can adjust the weights yourself… that way you now get something that's truly proprietary”
♫
Said on Dropping Bombs
“Trying to do some kind of open source thing ... make it readable for artificial intelligence and do some open source so people can work with their LLMs”
♫
Said on BTC Sessions
“The more you post-train models the less diverse their outputs become”
EB
Eric Bigelow
"The Cognitive Revolution" ·
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