The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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Conover: AI model developers are absolutely overfitting to public evaluation benchmarks
“And I think the work around over, you know, overfitting on the test, I think is like that. 100% is happening.”
Conover: Economic incentives to pre-train commodity foundation models from scratch are diminishing
“The incentives, the economic incentives for companies to train their own foundation models, I think, are diminishing. So the, like, window in which you are the dominant pre-train, and let's say that you spend five to forty million dollars, you know, for like a…”
Conover: The next generation of AI innovation requires specialized tuning data
“And I think the cost of producing instruction tuning and fine tuning data that creates specific kinds of behaviors, I think that's probably where the next generation of really interesting work starts to happen.”
Conover: Labor flow networks predict next-quarter S&P 500 market cap changes
“We demonstrated that five hundred million jobs transitions can be hierarchically clustered as a network of labor flows and in our predictive next quarter S and P 500 market gap changes.”
Conover: AI companies hire systems engineers, traditional software hires AI talent
“All of the traditional software companies are trying to hire AI talent and all the AI companies are trying to hire systems engineers, and that is 100% the case.”
Conover: Commercial LLMs struggle to generate 5,000 output tokens in one generation
“There is a characteristic output length for these models. Let's say it's about 1200 tokens. Like it is very difficult to get any of the commercial LMs or LLAMA to write 5000 tokens.”