alexop

5 ms·

1.
My workflow with Claude Code slash commands(alexop.dev)
3 points by alexop 11mo ago|0 comments
2.
I Compared 3 LLMs for Technical Research: o4-mini-high vs. o3 vs. Deep Research(alexop.dev)
1 points by alexop 1y ago|0 comments
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by alexop 1y ago
Yes, exactly. What I meant is that a human would also try every "tool" available. In the case of o3, the only tools it had were Python and Bing. But you are right. It does not actually understand anything. It is just a next-token
4.
by alexop 1y ago
Yes, I agree. Like I said, in the end it did what a human would do: google for the answer. Still, it was interesting to see how the reasoning unfolded. Normally, humans train on these kinds of puzzles until they become pure pattern recognit
5.
by alexop 1y ago
Oh cool, I wonder how good 03 will be. While using 03, I noticed something funny: sometimes I gave it a screenshot without any position data. It ended up using Python and spent 10 minutes just trying to figure out where the figures were exa
6.
by alexop 1y ago
yes
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Watching o3 model sweat over a Paul Morphy mate-in-2(alexop.dev)
108 points by alexop 1y ago|69 comments
8.
Are LLMs Creative(alexop.dev)
1 points by alexop 2y ago|1 comments
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by alexop 2y ago
its funny how video games are the hardest benchmark that humanity has for ai
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by alexop 2y ago
This looks nice. I also played on the weekend with Vue and Transformer.js to build the embeddings locally. See https://github.com/alexanderop/vue-vector-search
11.
by alexop 2y ago
Thank you for the good feedback. I tried to improve that. I was writing the blog post for myself to understand Cosine Similarity, which is why it's maybe a bit repetitive, but this is the best way for me to learn something. I get your
12.
How to Implement a Cosine Similarity Function in TypeScript(alexop.dev)
86 points by alexop 2y ago|40 comments