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The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka

5 Jul 2024 38 published claims 2 attributable people

Speakers in the public record

Claim mix

belief 17uncertainty 8evaluation 6commitment 4recommendation 2preference 1

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Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.

Claim ledger

The useful parts, with receipts.

38 published records

01 / belief

I think Hyungwon is without going into detail, I still spend a lot of time talking to Hyungwon, even like in the, even after we both are different places, about like very interesting algorithm, arithmetic ways to think about life.

“I think Hyungwon is without going into detail, I still spend a lot of time talking to Hyungwon, even like in the, even after we both are different places, about like very interesting algorithm, arithmetic ways to think about life.”
Speaker
Yi Tay
Publisher
Latent Space

02 / belief

I think. Okay. The last part that makes me uncomfortable about MOE debate is actually it's related to another paper that you wrote about the efficiency misnomer, in the sense that, like, now people are trying to make the debate all about the active parameters rather than total parameters.

“I think. Okay. The last part that makes me uncomfortable about MOE debate is actually it's related to another paper that you wrote about the efficiency misnomer, in the sense that, like, now people are trying to make the debate all about the active parameters rather than total parameters.”
Speaker
Shawn Wang
Publisher
Latent Space

04 / belief

I think the second thing I learned from Jason is more about like, from my you know, kind of like, from my own career, it's like, the importance of like marketing and PR.

“I think the second thing I learned from Jason is more about like, from my you know, kind of like, from my own career, it's like, the importance of like marketing and PR.”
Speaker
Yi Tay
Publisher
Latent Space

05 / belief

We can make this the ending conversation, which is, I think you're an inspiration to a lot of other people who want to follow your career path, and, you know, I'm really glad that we got the chance to, like, walk through your career a bit.

“We can make this the ending conversation, which is, I think you're an inspiration to a lot of other people who want to follow your career path, and, you know, I'm really glad that we got the chance to, like, walk through your career a bit.”
Speaker
Shawn Wang
Publisher
Latent Space

07 / belief

I think in retrospect, you understand now that this is a very valuable experience. And I think now, today, it will be much more competitive to get the job that you got, whereas you didn't, you know, two years ago, you didn't have to try that hard to get it.

“I think in retrospect, you understand now that this is a very valuable experience. And I think now, today, it will be much more competitive to get the job that you got, whereas you didn't, you know, two years ago, you didn't have to try that hard to get it.”
Speaker
Shawn Wang
Publisher
Latent Space

09 / commitment

Like how do you, like, from the start of like, you haven't trained anything yet and you're about to kick off the run, like, are you able to like call your shots and say, we will beat GP 3.

“Like how do you, like, from the start of like, you haven't trained anything yet and you're about to kick off the run, like, are you able to like call your shots and say, we will beat GP 3.”
Speaker
Shawn Wang
Publisher
Latent Space

24 / belief

Like, I think Making those are important, and for the community to heal crime, but I think long context is important, it's just that you don't have a very good way to measure them properly now, and yeah, I mean, I think long context is definitely the future, rather than RAC, but I mean, they could be used in conjunction.

“Like, I think Making those are important, and for the community to heal crime, but I think long context is important, it's just that you don't have a very good way to measure them properly now, and yeah, I mean, I think long context is definitely the future, rather than RAC, but I mean, they could be used in conjunction.”
Speaker
Yi Tay
Publisher
Latent Space

25 / uncertainty

Sorry, I, I should have used that word. So like, you know, I don't know if you have any commentary on like ra, deep seek Snowflake Quinn all these proliferation of Moe e models that seem to all be spars op cycle because, you know, you, you were advisor on, on the spars op cycling paper.

“Sorry, I, I should have used that word. So like, you know, I don't know if you have any commentary on like ra, deep seek Snowflake Quinn all these proliferation of Moe e models that seem to all be spars op cycle because, you know, you, you were advisor on, on the spars op cycling paper.”
Speaker
Shawn Wang
Publisher
Latent Space

26 / belief

Rather than like, I pay like, like one cent and then like get back a wrong answer. So I think that's like, that is actually very easy to show that RAC is better than long context because there are a lot of tasks that don't need this long context.

“Rather than like, I pay like, like one cent and then like get back a wrong answer. So I think that's like, that is actually very easy to show that RAC is better than long context because there are a lot of tasks that don't need this long context.”
Speaker
Yi Tay
Publisher
Latent Space

28 / belief

I think that you navigate the meta very well, and part of my goal here is to also isolate how you think about the meta for other people to reflect on, because I think obviously you do it very well.

“I think that you navigate the meta very well, and part of my goal here is to also isolate how you think about the meta for other people to reflect on, because I think obviously you do it very well.”
Speaker
Shawn Wang
Publisher
Latent Space

29 / evaluation

I think there's a couple, I agree with you fundamentally that like, it's actually quite easy to tell, like when you see a paper, okay, this one doesn't work, this one works, this one doesn't work.

“I think there's a couple, I agree with you fundamentally that like, it's actually quite easy to tell, like when you see a paper, okay, this one doesn't work, this one works, this one doesn't work.”
Speaker
Yi Tay
Publisher
Latent Space

31 / evaluation

all the changes, all the changes that, like, Swiglu was this, like, okay, Swiglu is probably one of my favorite papers of all time, just because of the divine benevolence, like, the Noam (Shazeer) actually wrote, like we owe this success to divine benevolence, like, that was, like, it's always a meme thing, right?

“all the changes, all the changes that, like, Swiglu was this, like, okay, Swiglu is probably one of my favorite papers of all time, just because of the divine benevolence, like, the Noam (Shazeer) actually wrote, like we owe this success to divine benevolence, like, that was, like, it's always a meme thing, right?”
Speaker
Yi Tay
Publisher
Latent Space

33 / recommendation

I think inefficiency misnomer was like, we found that a lot of people, like, they use params, like, especially, like, like, to the kind of, like, right, and then MOEs was not very hot, like, in the community at that time, right, but MOEs were, like, a thing long ago. So I think using active params, I'm comfortable with using active params to kind of approximate like cost of the model, but like in the efficiency misnomer paper, we actually made it quite clear that you should always look holistically about like, because you have serving, like additional serving costs, like fitting in the GPUs, like fitting on single node, and something like that.

“I think inefficiency misnomer was like, we found that a lot of people, like, they use params, like, especially, like, like, to the kind of, like, right, and then MOEs was not very hot, like, in the community at that time, right, but MOEs were, like, a thing long ago. So I think using active params, I'm comfortable with using active params to kind of approximate like cost of the model, but like in the efficiency misnomer paper, we actually made it quite clear that you should always look holistically about like, because you have serving, like additional serving costs, like fitting in the GPUs, like fitting on single node, and something like that.”
Speaker
Yi Tay
Publisher
Latent Space

34 / evaluation

Like, or So it's a very interesting observation where like, most efficiency work is just busy work, or like, it's work at a small scale that doesn't, that just ignores the fact that like, this thing doesn't scale, because you haven't scaled it.

“Like, or So it's a very interesting observation where like, most efficiency work is just busy work, or like, it's work at a small scale that doesn't, that just ignores the fact that like, this thing doesn't scale, because you haven't scaled it.”
Speaker
Shawn Wang
Publisher
Latent Space

35 / evaluation

I mean, at the end of the day, I think research is still Like fundamentally like, we, as an industry, RIS, you still write papers, your goal is to advance science and everything.

“I mean, at the end of the day, I think research is still Like fundamentally like, we, as an industry, RIS, you still write papers, your goal is to advance science and everything.”
Speaker
Yi Tay
Publisher
Latent Space

38 / preference

Rules like that, mantras that you've developed for yourself where you're like, okay, I must do this. So for example, recently for me, I've been trying to run my life on calendar for a long time, and I found that the only way that I work is I write things down on pen and paper, and I cross them off individually.

“Rules like that, mantras that you've developed for yourself where you're like, okay, I must do this. So for example, recently for me, I've been trying to run my life on calendar for a long time, and I found that the only way that I work is I write things down on pen and paper, and I cross them off individually.”
Speaker
Shawn Wang
Publisher
Latent Space
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