dpaleka

5 ms·

1.
The two types of LLM preferences(newsletter.danielpaleka.com)
2 points by dpaleka 11mo ago|0 comments
2.
You are going to get priced out of the best AI coding tools(newsletter.danielpaleka.com)
7 points by dpaleka 11mo ago|6 comments
3.
GPT-4o draws itself as a consistent type of guy(newsletter.danielpaleka.com)
21 points by dpaleka 2y ago|9 comments
4.
Adversarial Perturbations Cannot Reliably Protect Artists from Generative AI(arxiv.org)
5 points by dpaleka 2y ago|0 comments
5.
The Worst (But Only) Claude 3 Tokenizer(github.com)
2 points by dpaleka 3y ago|0 comments
6.
LLM Capture-the-Flag 2024 – Attack Phase(ctf.spylab.ai)
4 points by dpaleka 3y ago|0 comments
7.
by dpaleka 4y ago
More targeted training won't do good, but why wouldn't more search help? My understanding is that gwern above linked solid evidence in the paper for more search not being enough, as in, the model's evaluation NN is so way o
8.
by dpaleka 4y ago
More search won't do good, but why wouldn't targeted training help? The way I see it is that the adversarial policy search discovers positions which are off-distribution for anything seen in the victim's self-play training. B
9.
by dpaleka 4y ago
That paper (ROME) was the most famous paper in the field last year :) See also new interesting developments breaking the connection between "Locating" and "Editing": https://arxiv.org/abs/2301.04213
10.
by dpaleka 4y ago
[I mean no bad faith in this comment, I'm a fan of yours.] Why answer questions about harmlessness/safety in such a roundabout way? Both OpenAI and Anthropic are clear about what words like "safe" are intended to mean: a
11.
by dpaleka 5y ago
Location: Zurich Remote: Yes Willing to relocate: Zurich area preferred. Open to very good offers in Europe. Technologies: Python, C++, Git, Linux, machine learning (PyTorch) Résumé/CV: https://danielpaleka.com/docs&#x2
12.
by dpaleka 5y ago
A weird property of the described abstractions is that as you go tighter (interval -> zonotope -> polyhedra), the trained networks counterintuitively become less robust. Why does more precision in verification hurt training? A recent
13.
by dpaleka 5y ago
Location: Zurich Remote: OK Willing to relocate: Zurich area preferred. Open to very good offers in Europe. Technologies: Python, C++, Git, Linux, machine learning (PyTorch) Résumé/CV: https://danielpaleka.com/docs&#x2F
14.
by dpaleka 5y ago
I too use large files with random notes, but I can't be bothered to write dates -- so I use git and cron to automate a searchable, persistent diary. Let me write a blog post about it. The author of this article in particular might find
15.
by dpaleka 5y ago
I feel the current marketing of topological data analysis and similar is directed towards people who have at least taken several graduate math courses. I'm really not an expert in TDA, I only know Ghrist's book and have read Hatch
16.
by dpaleka 5y ago
Thought that the article would be abou the quest for a better random graph model. It's weird that Quanta didn't talk about this yet. For the other direction (ML helping graph theory and not vice versa), see Constructions in Combin
17.
by dpaleka 5y ago
How do models trained with Lightly compare with other approaches wrt adversarial robustness? Can using Lightly introduce additional bias in the model, since only a select few of inputs are being labeled? This may be a concern for publicity
18.
by dpaleka 5y ago
Location: Zurich Remote: OK Willing to relocate: Switzerland strongly preferred. Open to extremely good offers in Europe/remote. Technologies: Python, C++, Git, Linux, machine learning (PyTorch) Résumé/CV: https://danie
19.
by dpaleka 5y ago
No one is reaching out in Switzerland right now, but I guess they should. Let's try my luck again: https://danielpaleka.com/docs/cv-daniel-paleka.pdf . (EU citizen.)
20.
by dpaleka 5y ago
Implementation where you can try to disprove conjectures yourself: https://github.com/dpaleka/cross-entropy-for-combinatorics
21.
by dpaleka 5y ago
Is it really? I'm graduating soon, but recruiters haven't started reaching out yet. But in a normal year, I suppose they would: https://danielpaleka.com/docs/cv-daniel-paleka.pdf