tool / uses
MATLAB
“during my PhD, I used Mathematica and MATLAB”
Public evidence record
Tim Scarfe
Host · Machine Learning Street Talk
- Claims
- 168
- Episodes
- 35
- Shows
- 1
- Named items
- 4
Books, apps, and tools
The evidenced stack.
tool / uses
Mathematica
“during my PhD, I used Mathematica and MATLAB”
person / likes
Douglas Hofstadter
“Yes. I I love Douglas Hofstadter. So so there's this kind of self modeling and then second order self modeling and third order self modeling which could be applied to other agents and of course, know, in in the real world, we are computationally bounded.”
person / likes
Andy
“I'm I'm huge fan of Andy's, big hero of mine. You probably didn't think that they would be so relevant later on in your career.”
Claim ledger
What Tim said.
12 transcript-backed records
01 / preference
Because you need to leverage like human creativity in this process as well, I think.
“Because you need to leverage like human creativity in this process as well, I think.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
02 / preference
I think my intuition is if it feels to me that a function, a simple input output mapping can't be an agent.
“I think my intuition is if it feels to me that a function, a simple input output mapping can't be an agent.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
03 / preference
I mean, there's a thought experiment that I had a debate with an AI doomer and because I'm a big externalist, I think we're embedded in these cognitive as you do.
“I mean, there's a thought experiment that I had a debate with an AI doomer and because I'm a big externalist, I think we're embedded in these cognitive as you do.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
04 / preference
Because we we've got a we've got a great audience of ML engineers and scientists, and I think working for Socano would be the dream job.
“Because we we've got a we've got a great audience of ML engineers and scientists, and I think working for Socano would be the dream job.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
05 / preference
May I also submit that there could be an additional reason, which is, you know, I love that fractured and tangled representations paper.
“May I also submit that there could be an additional reason, which is, you know, I love that fractured and tangled representations paper.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
06 / preference
Yeah. What I love about this functionalist perspective is the substrate independence.
“Yeah. What I love about this functionalist perspective is the substrate independence.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
07 / preference
There's this phylogeny of of knowledge, and you need to respect it as much as possible because if you don't respect it, you're not grounded anymore. So it kind of feels to me that intuitively code is great because it means that I'm actually respecting the constraints and and the semantics are correct and it's grounded in in the real world.
“There's this phylogeny of of knowledge, and you need to respect it as much as possible because if you don't respect it, you're not grounded anymore. So it kind of feels to me that intuitively code is great because it means that I'm actually respecting the constraints and and the semantics are correct and it's grounded in in the real world.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
08 / preference
I think I think with SGD because the fascinating thing is that, you know, if you look at all of the FSA algorithms, a a tiny sliver of those algorithms are capable of controlling, you know, a Turing machine and expanding their memory and so on.
“I think I think with SGD because the fascinating thing is that, you know, if you look at all of the FSA algorithms, a a tiny sliver of those algorithms are capable of controlling, you know, a Turing machine and expanding their memory and so on.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
09 / preference
So on the first 1 as well, you were generating Python programs explicitly. And because of all the things that we're just talking about, I'm a big fan of that because I feel intuitively, and I think you did, that there's something special about Python programs.
“So on the first 1 as well, you were generating Python programs explicitly. And because of all the things that we're just talking about, I'm a big fan of that because I feel intuitively, and I think you did, that there's something special about Python programs.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
10 / preference
Absolutely. And I I remember I read in in the first version of your blog post that you were talking about, we need to do this kind of deduction where we synthesize hypotheses, and then we we test them, and we do this kind of generate test loop.
“Absolutely. And I I remember I read in in the first version of your blog post that you were talking about, we need to do this kind of deduction where we synthesize hypotheses, and then we we test them, and we do this kind of generate test loop.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
11 / preference
I love that Ken Stanley paper, you know, the poet paper doing something like that.
“I love that Ken Stanley paper, you know, the poet paper doing something like that.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk
12 / preference
You know, I'm a huge fan of open endedness, for example. And certainly at the moment, when we prompt models, if we're quite generic in what we put in the prompt, then we tend to get quite simplistic answers.
“You know, I'm a huge fan of open endedness, for example. And certainly at the moment, when we prompt models, if we're quite generic in what we put in the prompt, then we tend to get quite simplistic answers.”
- Speaker
- Tim Scarfe
- Publisher
- Machine Learning Street Talk