TheDudeMan

6 ms·

1.
by TheDudeMan 29d ago
Why wouldn't it?
2.
by TheDudeMan 3mo ago
Which is why we need to lower the cost of the reactors.
3.
by TheDudeMan 3mo ago
Efficiency is not the problem. We have plenty of nuclear fuel.
4.
by TheDudeMan 8mo ago
Related question: Who is the highest-ranking US leader who would be able to understand such a statement and ponder it for more than 2 seconds?
5.
by TheDudeMan 8mo ago
So strange that people are into this, but were not into the much stronger non-LLM poker agents.
6.
by TheDudeMan 1y ago
But how is that slower than sorting the list?!
7.
by TheDudeMan 1y ago
How fast if you write a for loop and keep track of the index and value of the smallest (possibly treating them as ints)?
8.
by TheDudeMan 1y ago
OK, so you do get the vision.
9.
by TheDudeMan 1y ago
No, I never said that.
10.
by TheDudeMan 1y ago
You know they're getting better, right?
11.
by TheDudeMan 1y ago
They saw how much money stablecoin issuers are making. Simple as that.
12.
by TheDudeMan 1y ago
I interpret The Bitter Lesson as suggesting that you should be selecting methods that do not need all that data (in many domains, we don't know those methods yet).
13.
by TheDudeMan 1y ago
Yes, many PMs suck. And many engineers suck. And communication is always lossy. Having many/all engineers take some calls helps to mitigate those.
14.
by TheDudeMan 1y ago
I would have loved this as a kid. Walkie-talkie range and battery life made them useless for my adventures.
15.
by TheDudeMan 1y ago
Interesting. You just articulated why Chandler was annoying rather than funny.
16.
by TheDudeMan 1y ago
The Bitter Lesson is saying, if you're going to use human knowledge, be aware that your solution is temporary. It's not wrong. And it's not wrong to use human knowledge to solve your "today" problem.
17.
by TheDudeMan 1y ago
No.
18.
by TheDudeMan 1y ago
System prompts enable changing the model behavior with a simple code change. Without system prompts, changing the behavior would require some level of retraining. So they are quite practical and aren't going anywhere.
19.
by TheDudeMan 1y ago
This is because coders didn't spend enough time making their tests efficient. Maybe LLM coding agents can help with that.
20.
by TheDudeMan 1y ago
If "LLMs" includes reasoning models, then you're already wrong in your first paragraph: "something that is just MatMul with interspersed nonlinearities."
21.
by TheDudeMan 1y ago
Losing some bitcoin is effectively equivalent (over the long term) to distributing it to all other holders (proportionally). So this is fine.
22.
by TheDudeMan 1y ago
This guy makes cool stuff and releases the source code. https://www.youtube.com/@jamesbruton
23.
by TheDudeMan 1y ago
No. It is a purely theoretic result. It has zero real-world applicability.
24.
by TheDudeMan 1y ago
Only at the theoretic limits of efficiency. In real life, not true.
25.
by TheDudeMan 1y ago
Jeff didn't mention whether Consumer Reports discussed this problem. If not, they also deserve blame.
26.
by TheDudeMan 1y ago
But this isn't automated. This is user-driven.
27.
by TheDudeMan 2y ago
Machines going to be thinking in the frequency domain. We cooked.
28.
by TheDudeMan 2y ago
Mamba is O(n). But I guess it has other drawbacks.
29.
by TheDudeMan 2y ago
They do show their model as winning every category in Long Range Arena (LRA) benchmark. Hopefully they have not excluded losing categories or better models.
30.
by TheDudeMan 2y ago
Referenced in this paper: "Overall, while approaches such as FNet, Performer, and sparse transformers demonstrate that either fixed or approximate token mixing can reduce computational overhead, our adaptive spectral filtering strategy

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