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31.
by parentheses 8mo ago
This dynamic would create even more gate-keeping using credentials, which is already a problem with academia.
32.
by parentheses 8mo ago
Totally agree! I feel like this means that working in any group where individuals compete against each other results in an AI vs AI content generation competition, where the human is stuck verifying/reviewing.
33.
by parentheses 8mo ago
It feels generally a bit dangerous to use an AI product to work on research when (1) it's free and (2) the company hosting it makes money by shipping productized research
34.
by parentheses 8mo ago
I suppose in that position your head has lower elevation, allowing for better circulation.
35.
by parentheses 9mo ago
I got some errors trying to run this on my MBP. Claude was able to one-shot a fix. ``` Loaded speech tokenizer from ~/.cache/huggingface/hub/models--Qwen--Qwen3-TTS-12Hz-1.7B-VoiceDesign/snapshots/0e711a1c0aa5a
36.
by parentheses 9mo ago
With the recent success of AI, I feel the more insidious issue is preventing the use of AI in reading paper ballots. There's a lot of room to engineer bias.
37.
by parentheses 9mo ago
The problem is that nothing is immutable about computing. Software itself is mutable. So is data. The transferability of software makes hardware mutable also. It seems like pen and paper is currently the best verifiable and immutable voting
38.
by parentheses 9mo ago
It's a trade off as always. I agree though. I wonder the same thing a lot. I also wonder how AI will fit into this problem.
39.
by parentheses 9mo ago
To be fair, shutting down all communications and power are our only defense against a runaway AI system. This is a capability that makes sense to have to use when absolutely necessary. I think the differentiator is always when governments c
40.
by parentheses 9mo ago
> I have nothing to hide I really dislike that this is always the argument that's being attacked. It's not even what most people are thinking when they respond. It's clear that the exchange is privacy for effort. If I want
41.
by parentheses 9mo ago
This is different because now the cats out of the bag: AI is big money! I don't expect AGI or Super intelligence to take that long but I do think it'll happen in private labs now. There's an AI business model (pay per token)
42.
by parentheses 9mo ago
I prefer using the same feature to have an extremely warm (almost red) tone. I think it's much more pleasing than b/w and results in less blue light for me.
43.
by parentheses 10mo ago
Not to mention the saturation of training data
44.
by parentheses 11mo ago
If it's < 100M, with vectors of 1024 size, you could fit all of that in ~100G of memory. So, maybe storing it in memory is an easy way to go about it. This ignores a lot of "database problems". If the docs are changing co
45.
by parentheses 11mo ago
I think this article is funny. Python's STL is way more useful and contains myriad useful things that Ruby lacks out of the box. difflib is probably my favorite one to cite. Go see for yourself: https://docs.python.org/
46.
by parentheses 11mo ago
This looks really cool! Next diagram is getting this treatment!
47.
by parentheses 11mo ago
Comments like these are unwarranted. While the parent comment indicates that a child is possibly overstepping, your comment is a greater overstep.
48.
by parentheses 1y ago
This is pretty cool! I realize that you (the 13 year old) probably did not walk this path alone and I'm guessing you had a lot of help. Not sure how much help, but I don't mind giving you the benefit of the doubt today. Great to s
49.
by parentheses 1y ago
I think a large issue at play here is post training. Pre training models the original distribution of input data. RL techniques tweak the models to "behave". This step changes how the models "think" in a fundamental way
50.
by parentheses 1y ago
Yes. Maybe a better way to put it would be, "all models guess every time because they are stochastic in nature. However, we only want the answers with high confidence."
51.
by parentheses 1y ago
Typing not being a natively ruby thing makes all efforts to type the language in place seem second class. Ruby needs a typed variant that compiles down to type less Ruby.
52.
by parentheses 1y ago
Clearly the question is meant to spur speculation. If your response is going to be "online opinions are not going to give you good predictions", you're better off not responding. It's a non answer and counter productive.
53.
by parentheses 1y ago
They probably do lots of tricks like using quantized or distilled models during times of high load. They also have a sizeable number of free users, who will be the first to get rate limited.
54.
by parentheses 1y ago
I think the answer is obvious so maybe you're looking for something different. More perf means more attempts in parallel with some sort of arbiter model deciding what to pick. This can happen at the token, prompt, or agent level or all
55.
by parentheses 1y ago
Note to Zed: I prefer paid products to enshittened ones. Please please please, get paid rather than holding on too tightly to making things free forcing future enshittening.
56.
by parentheses 1y ago
That's kind of the point. These methods are never meant to be called directly. They're used to desugar. I think it's fairly short sighted to criticize these. FWIW, I also did that the first time I wrote Python. Other language
57.
by parentheses 1y ago
Because, like engineers, their work requires intelligence and would benefit from highly adaptable software. Finance and engineering both have a degree of verifiably. Building evals around finance is easier than, e.g., marketing work.
58.
by parentheses 1y ago
The idea here (I think) is that it (1) can be a program with code used to generate the XML and (2) is typed. Just by virtue of being a go program it enables even more sophisticated validation and automation if you want to implement it.
59.
by parentheses 1y ago
Humanity's abilities are always enhanced by their tools. This simply changes the judgement of art in the face of easier execution. Let's say I used a custom power saw to carve a statue faster than ever before and more precisely. W
60.
by parentheses 1y ago
The fundamental thing that try/catch and similar language structures give us is an error _boundary_. I feel that not having one is a weakness of the language. The nesting and syntax all serve the purpose of handling errors neatly. I th

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