x1000

4 ms·

1.
by x1000 8mo ago
It’s the negative of the inverse of the golden ratio. (Also 1 minus the golden ratio.) So, good for anything the golden ratio itself is good for.
2.
by x1000 1y ago
Not a physicist, but I see it this way too. My understanding of Boltzmann brains is that they are a theoretical consequence of infinite time and space in a universe with random quantum fluctuations. And that those random fluctuations would
3.
by x1000 1y ago
If they had experimented using a newer model (gemma 3, deepseek-1 7b, etc.) and reported better results, would that be because their newer baseline model was better than the llama 2 model used in the previous methods' experiments? A mo
4.
by x1000 2y ago
It’s the fundamentals that underly Stable Diffusion, Dalle, and various other SOTA image generation models, video, and audio generation models. They’ve also started taking off in the field of robotics control [1]. These models are trained t
5.
by x1000 2y ago
I ran into exactly same pain point which was enough to nullify the benefits of using zod at all.
6.
by x1000 2y ago
Could you help explain how we would achieve an attention score of exactly 0, in practice? Here’s my take: If we’re subtracting one attention matrix from another, we’d end up with attention scores between -1 and 1, with a probability of effe
7.
by x1000 2y ago
My first exposure to computer architecture was through a Minecraft video[1] (which I likely stumbled upon on Digg). In Linear Algebra lecture the next day, I overheard my classmates discussing the video. I purchased the game later that week
8.
by x1000 3y ago
There’s a video[1] of Karpathy recounting an email correspondence he had with with Bahdanau. The email explains that the word “Attention” comes from Bengio who, in one of his final reviews of the paper, determined it to be preferable to Bah
9.
by x1000 3y ago
Imagine you are a LLM and all you see are tokens. Your job is not only to predict the next token in a sequence, but also to create a nice embedding for the token (where two similar words sit next to each other). Given a small enough latent
10.
by x1000 6y ago
An interesting aspect of these cryptocurrencies is the aspect of consensus, not through the intended mechanisms like PoW, but through societal acceptance. Look at BTC and BTG (bitcoin and bitcoin gold). One has the suffix of "gold&quot
11.
by x1000 6y ago
Reminds me of Asimov's Second Law of Robotics[1]. [1] https://en.wikipedia.org/wiki/Three_Laws_of_Robotics
12.
by x1000 7y ago
I've been studying the bitcoin book lately [1]. Slowly but surely I'm getting a better understanding of all the pieces involved. I was inspired by an article I found here on HN, [2]. I saw that and decided I wanted to implement as
13.
by x1000 7y ago
Been following this guy for a while now too. And you're absolutely right. It's been fun watching his evolution. Glad to see this series of articles posted here. I've been sharing this series with my coworkers and we've s
14.
by x1000 8y ago
Is there a reason you specified partial derivative with respect to time? Why not just d/dt(state)? I've been tempted lately to model application state as the integral over time of all events (deltas) that have occurred. For exampl
15.
by x1000 8y ago
I thought this would only apply to rendering graphics, but after reading the "When To Use It" section, I realized I've done double buffering on entire game states before (~2 years ago project). At the beginning of my update l
16.
by x1000 8y ago
Idk anything about any of it. But, what if open AI is "bad" at ward placement because it plays itself so much, it already know exactly where it would be if it were the other team?
17.
by x1000 9y ago
This article seems relevant, https://www.typescriptlang.org/docs/handbook/advanced-types.... . Particularly the part on discriminated unions. I'm just now learning TypeScript, so I have yet to actually implem