Machine Learning Street Talk / episode intelligence
Speakers in the public record
Claim mix
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
14 published records
01 / belief
“I look up to her very much and certainly thinking back on many of the episodes we've done in 2025, I can see her influence in the questions I ask and how I think about things.”
02 / observation
“The problem is they're not going to accept the paper because when you have a theory, there are 2 kinds of questions you have to ask.”
03 / belief
“Now I think Yosha has taken a useful way of talking about complex systems and promoted it to metaphysics.”
04 / belief
“We have capacities, we have a nature, we have a structure, they yield all sorts of extensive range of things that we can do, but they probably impose limits. And I think we could even make some guess about what these limits are.”
05 / evaluation
“The problem is these 2 goals actually pull against each other.”
06 / evaluation
“I interviewed her recently. And she said that 1 of the most pervasive myths in neuroscience is that we use these leaky abstractions and idealizations to talk about cognition.”
07 / evaluation
“You can climb mountains, you can touch stuff, but you never truly embodied experience anything if you push on that philosophical button hard enough because you can always abstract out to like, these are just neural network pings from groups of neurons.”
08 / evaluation
“You cannot throw, like, you know, a bunch of engineering manuals and cement into a gorge and expect to get a bridge because the books don't have knowledge, teams have knowledge, organizations have knowledge.”
09 / evaluation
“I think 1 of the interesting things about this phenomenon, not only of LLMs but the internet as this idea that it's the repository of all human knowledge is that it goes along with this idea almost that knowledge doesn't have to be perspectival, it doesn't have to be like of a place of a community, it kind of can float free of the situation in which this knowledge was acquired.”
10 / evaluation
“Simplicity tells you that you're on the right track. And in the blue corner, ignorantio, he thinks we simplify because we're too dumb to do otherwise.”
11 / preference
“1 of the answers that might seem obvious to people is that we pursue science because we are curious.”
12 / evaluation
“I think we're at this moment in science now because we have these tools like LLMs for language and convnets and visual neuroscience are being used as predictive models of neuronal responses which don't have that mathematical legibility that originally, so when I was trained in the field that people aspired to have.”
13 / evaluation
“Now, I think we tend to think about it as non physical because it is a thing that is not a thing, which is the same as temperature.”
14 / prediction
“You start feeling the AGI and you'd be forgiven for thinking this because I've been using Claude code and my god, I feel that there's been more interesting stuff happening in the world of software development in the last 6 months than there has been in the previous 20 years.”