Josh Albrecht is the co-founder and CTO of Imbue. He discusses the near-term timeline for AI agents becoming practical for everyday productivity tasks.
Insight
Albrecht: Pure LLMs theoretically cannot learn general multiplication algorithms due to context
“Like, we know even in theoretical senses, like, they cannot learn to do multiplication in the general sense because it literally doesn't fit in the context window, right? Like, multiplication, they can learn to do addition in a modular sense, and they can lear…”
Assertion Not checkable as stated
Albrecht: Imbue has sufficient compute to train state-of-the-art sized AI models
“We have enough compute to be able to train models that are as large as the largest models have been trained today to date.”
Prediction Not checkable as stated
Albrecht: Imbue will hire fewer recruiting coordinators as internal agents handle scheduling
“Now, you know, I think probably within the next year, we'll probably, you know, not be hiring as many recruiting coordinators because, oh, we're going to do some of the scheduling with the agent that we've built, right?”
Insight
Albrecht: The true promise of AI lies in autonomous agents, not chatbots
“Right now, you can ask some kind of chatbot something and it'll give you back a response, but the burden is sort of on you to go do something with that to verify whether it's correct or not. I think the real promise of AI is if we can get systems that can actu…”
Insight
Albrecht: Repeatable AI agent workflows must progressively transition into explicit code
“And as you do things that you want to do more robustly and you want to do in a more repeatable way, then you want to move it more towards code, right? And so To the extent that you've never seen this task before, maybe you should be doing it in this more kind …”
Insight
Albrecht: Imbue focuses on coding agents because objective evaluation is significantly easier
“One of the reasons why we work on code is that there are objective answers to a lot of these questions, either the test pass or they don't, either the function is correct or it isn't. Those kinds of things are much easier to evaluate.”