Matthyze

6 ms·

31.
by Matthyze 2y ago
This is really great. It's really awesome to have free access to such resources.
32.
by Matthyze 2y ago
That should be very doable, shouldn't it be? 2200/(4*365) ~= 1.51 pages per day. Of course, that doesn't exclude weekends and holidays.
33.
by Matthyze 2y ago
I wonder what would happen if the US got involved in a war against the Mexican cartels. Is that feasible, if even desirable?
34.
by Matthyze 2y ago
I think you might've taken my point too strongly. Of course math is very useful, and certain contributions are purely mathematical. I just don't think it is as hard of a requirement for innovation as was claimed.
35.
by Matthyze 2y ago
I think CNNs follow very naturally from the notion of shift/spatial invariance of visual processing. That doesn't require a mathematical understanding.
36.
by Matthyze 2y ago
Are math skills really? Most aspects of deep learning don't require a deep understanding of mathematics to understand. Backprop, convolution, attention, recurrent networks, skip connections, GANs, RL, GNNs, etc. can all be stood with o
37.
by Matthyze 2y ago
I'm Dutch and genuinely confused by what you're getting at. There are foreign datacenters here but AFAIK not particularly many.
38.
by Matthyze 2y ago
> Each time there is an algorithmic advancement, people quickly rush to apply it to both existing and new problems, demonstrating quick advancements. Then we tend to hit a kind of plateau for a number of years until the next algorithmic
39.
by Matthyze 2y ago
Not the greatest at economics, but the 'Implement tariffs -> market crash -> rollback tariffs -> market recovers' cycle immediately makes me skeptical. This might work once, but subsequently, investors will simply anticip
40.
by Matthyze 2y ago
It is. Psychological torture is torture.
41.
by Matthyze 2y ago
That's amazing. Really awesome work.
42.
by Matthyze 2y ago
https://en.wikipedia.org/wiki/Prosperity_theology
43.
by Matthyze 2y ago
In some sense, I supose, but that's now how I woud characterize traditional media covering e.g. natural disasters.
44.
by Matthyze 2y ago
25% or 10% additional tarrifs. Not sure what the current tarrifs for China or Canada are.
45.
by Matthyze 2y ago
Spot on. Reminds me of that old approach by evangelicals to frame scientific consensus as 'just a theory.'
46.
by Matthyze 2y ago
And most people believe there's too much crime. The DOGE answer to that is to round up people indiscriminately. (Not entirely indiscriminately — gotta get those political opponents!)
47.
by Matthyze 2y ago
That's insane. How did this ever get approved?
48.
by Matthyze 2y ago
Wikipedia is useful for reference, but not education. Not sure whether that's intentional.
49.
by Matthyze 2y ago
Indeed. “Where processing is to be carried out on behalf of a controller, the controller shall use only processors providing sufficient guarantees to implement appropriate technical and organisational measures in such a manner that processi
50.
by Matthyze 2y ago
Tools can be crutches — useful but ultimately inhibitory to developing advanced skill.
51.
by Matthyze 2y ago
Law isn't synonymous with prosecution. Think decriminalisation.
52.
by Matthyze 2y ago
Thanks! Now might actually be a great time for me to pick up the material. If anyone has suggestions about particularly good free/online mathematics courses for ML, I'd really love to hear it. Or books!
53.
by Matthyze 2y ago
I'd humbly like to ask people who've read the paper whether it's worth trying to understand it without a great math background. The paper looks intersting but daunting, and I'd hate to sink a lot of time into it and leav
54.
by Matthyze 2y ago
Announcing your plan to soon buy a large amount of bitcoin sounds like a great way to pay more for that amount of bitcoin — right?
55.
by Matthyze 2y ago
Perhaps the reason that this approach works well is that, while the LLM gives you good general-purpose language processing, the decision tree learns about the specific dataset. And that combination is more powerful than either component.
56.
by Matthyze 2y ago
The NFL theorem (for optimization) has a mathematical proof, FYI. But I agree that there's a lot of room for interpretation.
57.
by Matthyze 2y ago
That's essentially the No Free Lunch (NFL) theorem, right? The thing about the NFL theorem is that it assumes an equal weight or probability over each problem/task. It's impossible to find a search/learning algorithm tha
58.
by Matthyze 2y ago
So, if I understand the approach correctly: we're essentially doing very advanced feature engineering with LLMs. We find that direct classification by LLMs performs worse than LLM feature engineering followed by decision trees. Am I ri
59.
by Matthyze 2y ago
Thanks for the thought-out reply. That said, we disagree on quite a few points. A 'lesson' is something to be learned from, and Rich Sutton explicitly mentions in his conclusion what we should learn from this lesson. But it's
60.
by Matthyze 2y ago
So, what's the use-case for PINNs, then?

More ›