iwhalen
Joined 8 months ago
Karma
28
Submissions
25
Member since
Mar 2
https://github.com/iwhalen
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Comment · 5 days ago
Also see "Self-Preference Bias in LLM-as-a-Judge": https://arxiv.org/abs/2410.21819
Comment · 1 month ago
Was going to say the same thing. The announcement blog[1] has the flash benchmarks. AFAICT Artificial Analysis has not added it yet though.
Interested to see if it also beats DeepSeek V4.1 Flash.
Comment · 3 months ago
If your goal is to get the network as small as possible, you could try using NEAT[1]. A cool example of a small network for a hard task using NEAT is MarI/O[2].
[1]: https://en.wikipedia.org/wiki/Neuroevolution_of_augmenting_t...
Comment · 4 months ago
I came to mention genetic antennae as well!
Since you beat me to it, I'll add something that relates relates you were saying on "realizing some pretty simple... ideas".
I think a big plus of computer aided design like this is "innovization"[1]. Somewhat awkward term. But, a system like this leading one to deeper understanding of a particular process is the general idea. It's a fun feeling in practice.
Comment · 4 months ago
A lot of discussion in this thread about traffic stops. James Duane (the law professor from the video in the blog) himself makes a qualifier about traffic stops: https://youtu.be/-FENubmZGj8?si=bL_1vR0xFKQqkmC5&t=505
Comment · 4 months ago
If you already have a gaming desktop, I can recommend Shield for both. Streaming services work out of the box of course. Then I use Sunshine[1] on my desktop to stream to Moonlight on the Shield. Both have wired ethernet connections. Latency is not noticeable in most cases.
Comment · 4 months ago
Implementing Tierra [1] in Zig a learning exercise. Trying to push all allocations to compile time and not use LLMs for coding. Repo: https://github.com/iwhalen/zierra
[1]: https://en.wikipedia.org/wiki/Tierra_(computer_simulation)
Comment · 5 months ago
uv supports the same for any Python developers out there: https://docs.astral.sh/uv/concepts/resolution/#dependency-co...