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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every show 44 of 44
Qiu: Pragmatic, smaller models will eventually address the majority of AI workflows
“And I suspect we're going to see something similar where a lot of use cases are going to be able to be addressed by something pretty pragmatic and relatively small.”
Qiu: Imbue trains state-of-the-art AI models with only 13 or 14 people
“We're kind of like training state, state of the art models with like 14, 13 people.”
Qiu: Software output will explode as programming democratizes to non-coders
“Software is just dramatically underwritten because it's so hard to write code today. So, you know, as we said in the future, like, computers will be able to be programmed by regular people. What that means is, like, we're gonna write way, way, way more softwar…”
Kanjun Qiu: Language models trained without code perform poorly at reasoning
“Some companies have tried training language models with no code because they're like, oh, the product we're building, we don't need code. You know, it's a therapist or it's a question answering thing and we don't need code. So we should take code out of our tr…”
Qiu: The AI industry hasn't pushed data limits on small models
“We're definitely not pushing the bounds of what we can do with data today on small models, and so, you know, smaller things can work well.”
Kanjun Qiu: Agent development will evolve beyond bare metal to higher abstractions
“And I think it's basically a similar route here where we're like in the like bare metal phase of agent building, and we will eventually get to something with much nicer abstractions.”
Qiu: Memory limitations block AI agents from handling complex, long-running tasks
“I think what we'll see is we'll get like relatively simplistic agents pretty soon, and they will get more and more complex. And there's like a future wave in which they are able to do these like really difficult, really long running tasks. And the blocker to t…”
Kanjun Qiu: Larger models fine-tune faster and with higher sample efficiency
“As models get bigger, they fine tune faster. So they're more sample efficient as they get bigger.”
Imbue built an AI agent to analyze 20,000 Commerce Department policy proposals
“We built an agent that helped us analyze the, like, 20,000 pages of policy proposals submitted to the Department of Commerce request for AI policy proposals, and we, like, looked at what were the problems people brought up, and what were the solutions they pre…”
Kanjun Qiu: Imbue operates a cluster of 10,000 Nvidia H100 GPUs
“And then NVIDIA is also part of the round because we have a very large GPU cluster of 10,000 H 100, and it's very helpful to have NVIDIA as part of that.”
Imbue's CARBS hyperparameter optimizer originated from plasma physics concepts
“CARBS, our hyperparameter optimizer, came from Abe trying to automate his own research process doing hyperparameter optimization, and he actually pulled some ideas from plasma physics, he's a plasma physicist, to make the local search work.”
Imbue used plasma physics principles to build its CARBS search algorithm
“Like the reason we have carbs is because Abe was a plasma physicist and he applied some ideas from plasma physics, physics to make this local search algorithm work well.”