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canjobear
searching PlanetScale…
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6 ms
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31.
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by
canjobear
5mo ago
PhD students paying tuition would be highly unusual.
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Disappearing Polymorph
(en.wikipedia.org)
2 points
by
canjobear
5mo ago
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0 comments
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Pasilalinic-Sympathetic Compass
(en.wikipedia.org)
5 points
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canjobear
6mo ago
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0 comments
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by
canjobear
6mo ago
Is there a $10 billion "fix everything easily" button you have in mind for homelessness?
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by
canjobear
6mo ago
China at least has this. The stuff you get at the Ole Supermarket inside a shopping mall is different from the stuff you get from the little store facing the street on the ground floor of your apartment building.
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canjobear
6mo ago
On the contrary, the fact that they exclude free riders is what makes the whole thing possible.
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canjobear
6mo ago
Also there are only 27 variables. Which made it hard for me to write a Snake clone until I figured out how to use Lists.
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canjobear
6mo ago
I think you're vastly underestimating how little of human intent is really encoded in language in a strict sense, and how much nontrivial inference of intents LLMs do every day with simple queries. This used to be an apparently insurmo
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canjobear
6mo ago
You could simulate your own brain in Minecraft. What do you conclude from this?
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canjobear
6mo ago
Behold the actual definition of cross entropy: https://en.wikipedia.org/wiki/Cross-entropy It's true that the PyTorch API conflates cross entropy and softmax, but they are separate concepts.
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canjobear
6mo ago
They’re not. Cross entropy loss is E[-log q] where q is a probability. You could convert the model outputs x into probabilities using some other function like q = 1/Z x^2, and compute cross entropy loss just fine.
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canjobear
6mo ago
Softmax isn't a loss function. It is used to transform model outputs into positive numbers that sum to 1, so that they can be interpreted as probabilities, and then those numbers are passed into (typically) the cross entropy loss funct
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canjobear
6mo ago
The softmax, after the network has been trained, yields an estimate of the probability in the training data, but it is not that probability itself.
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canjobear
6mo ago
The mechanics of engines was understood at the beginning of the Industrial Revolution, and they were fully reproducible: all of which is true of LLMs today. An LLM is a bunch of floating point numbers and simple operations on them, all of w
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OpenAI Sued by Seven Families over Mass Shooting Suspect's ChatGPT Use
(wsj.com)
6 points
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canjobear
6mo ago
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1 comments
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Auto Polo
(en.wikipedia.org)
112 points
by
canjobear
6mo ago
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28 comments
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canjobear
6mo ago
It doesn't seem like eliminating nipples should be any harder than eliminating the uterus...
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canjobear
6mo ago
There clearly is though. You don’t remember every detail of every moment that constitutes the experience.
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canjobear
6mo ago
What’s the evidence Boethius wasn’t Christian? Wikipedia says he was.
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canjobear
6mo ago
What are your OC recs?
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Apollo 13: An Accident in Space (1972)
(newyorker.com)
1 points
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canjobear
6mo ago
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0 comments
52.
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canjobear
6mo ago
Charleston is displayed on the map as a “transitional or anomalous area”…
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canjobear
6mo ago
Link to your work?
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canjobear
6mo ago
> Why use splines or polynomials or haphazardly chosen basis functions if you can just fit (gradient descent) your data or wave functions to the proper computational EML tree? Because the EML basis makes simple functions (like +) hard to
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canjobear
6mo ago
Some will do it, some won’t. The ones that do will be overrepresented in the universe.
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canjobear
6mo ago
It will probably be processed into an edited edition and then published as a book.
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canjobear
6mo ago
At the very least, the bottle I saw on sale at Erewhon was clearly labeled as "not safe for human consumption".
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canjobear
7mo ago
That's exactly what it is. The article is almost entirely misconceived.
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canjobear
7mo ago
In any case, Classical Chinese did the same thing but with 之.
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canjobear
7mo ago
Even more than that: Romanization was the official goal of the Communist party until Stalin talked them out of it! https://faroutliers.com/2004/04/24/how-stalin-and-the-cultur...
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