Andrea Panizza

Interviewer: Can you explain this gap in your resume?

LM researcher: You're right to wonder about the gaps in my resume! They are more common than people think, and there are many valid reasons why someone might have them. Here are some of the most frequent reasons you might see a gap:

Finally found the time to watch it in full: one of the most interesting and thought provoking LLM conference I’ve seen in a while. You see LLM as latent attention graphs and many structural oddities suddenly falls into place. www.youtube.com/watch?v=J1YC...

This is beautiful 🤩 I would have paid for a similar treatment from my team

Parents Gently Explain To Child That Their Money In Heaven Now HUNTSVILLE, AL—In an effort to comfort the child by telling her the funds had gone to a far better place, local parents Blake and Allison McKee gently explained to their daughter Friday that their mon...

Parents Gently Explain To Child That Their Money In Heaven Now

PS I forgot an important caveat: the compute budget should be the same for both methods being HPO'ed. If the nihilist feels like being a PITA, I'll add a curve of the performance of the two methods as a function of the compute budget. If they still don't give up, I give up 🤷‍♂️ life goes on regardless.

cross-validation precisely to answer this kind of objection. Is HPO is unfeasible, I agree that the result is just preliminary evidence. I note that since HPO is costly, there's merit in methods which show superior performance with default HP, but I don't insist b/c it's a valid objection. /2

We need to talk about random seeds Modern neural network libraries all take as a hyperparameter a random seed, typically used to determine the initial state of the model parameters. This opinion piece argues that there are some safe us...

I start by acknowledging the validity of their objection, because inn general it's true that with different HP, results may have been different (even random seeds may be considered HP, see arxiv.org/abs/2210.13393). Secondly, if we're in a situation where HPO is feasible, I use nested 1/

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One of the first papers I've seen with RLVR / reinforcement finetuning of vision language models

Looks about as simple as we would expect it to be, lots of details to uncover.

Liu et al. Visual-RFT: Visual Reinforcement Fine-Tuning
buff.ly/DbGuYve
(posted a week ago, oops)

Cutting-edge web scraping techniques at NICAR Here's the handout for a workshop I presented this morning at [NICAR 2025](https://www.ire.org/training/conferences/nicar-2025/) on web scraping, focusing on lesser know tips and tricks that became po...

Here's the handout for my "Cutting-edge web scraping techniques" workshop at #NICAR2025 this morning github.com/simonw/nicar...

Plus some extra notes on the custom software I built to support the workshop: simonwillison.net/2025/Mar/8/c...

This thing now deserves its own name

Nicholas Carlini moves to Anthrophic.

nicholas.carlini.com/writing/2025...

Ah, during the time of the big excitement about L5! I remember talking to people in Houston, expecting FSD to be solved soon...things proved to be harder, but a lot of progress has been made!

I already advertised for this document when I posted it on arXiv, and later when it was published.

This week, with the agreement of the publisher, I uploaded the published version on arXiv.

Less typos, more references and additional sections including PAC-Bayes Bernstein.

arxiv.org/abs/2110.11216

Thanks!

Very well written! Did you work in the sector?

Self Driving Cars are At A Transition Point Cruise leaves the game as Waymo and Tesla ramp up

My self driving car writeup from December (needs an update) open.substack.com/pub/itcanthi...

Looks like a book or a very long review paper! Can you share the link?

This is revised down to -2.8%, and partly precipitated the big flush today. Probably some sovereign wealth fund exited positions across Nasdaq and S&P given the volume of sales.

If you look at most of the models we've received from OpenAI, Anthropic, and Google in the last 18 months you'll hear a lot of "Most of the improvements were in the post-training phase."

Here's a simple analogy for how so many gains can be made on mostly the same base model:

Which Attention Heads Matter for In-Context Learning? Large language models (LLMs) exhibit impressive in-context learning (ICL) capability, enabling them to perform new tasks using only a few demonstrations in the prompt. Two different mechanisms have be...

More evidence of the importance of training analysis for interp! Induction heads might serve as *preliminary* function vector heads (which directly compute in-context learning tasks). Ultimately, LMs rely on FV heads more than IH heads for ICL. from @kayoyin.bsky.social

Young Coders Are Using AI for Everything, Giving "Blank Stares" When Asked How Programs Actually Work Young programmers "can't actually program" because they're too reliant on AI models, writes developer Namanyay Goel.

I'm sure this is fine

futurism.com/young-coders...

Minimax Optimal Kernel Two-Sample Tests with Random Features Reproducing Kernel Hilbert Space (RKHS) embedding of probability distributions has proved to be an effective approach, via MMD (maximum mean discrepancy) for nonparametric hypothesis testing problems ...

Impressive piece of work by Soumya Mukherjee and Bharath Sriperumbudur: arxiv.org/abs/2502.20755
Minimal optimal kernel two-sample tests with random Fourier features.

Our Workshop on Uncertainty Quantification for Computer Vision goes to @cvprconference.bsky.social this year!
We have a super line-up of speakers and a call for papers.
This is a chance for your paper to shine at #CVPR2025

⏲️ Submission deadline: 14 March
💻 Page: uncertainty-cv.github.io/2025/

A new paper by Vovk that continues exploring properties of so-called "randomness predictors" (compared to "conformal predictors").
www.arxiv.org/abs/2502.19254

Volume estimates for unions of convex sets, and the Kakeya set conjecture in three dimensions We study sets of $δ$ tubes in $\mathbb{R}^3$, with the property that not too many tubes can be contained inside a common convex set $V$. We show that the union of tubes from such a set must have almos...

I am happy to announce that the Kakeya set conjecture, one of the most sought after open problems in geometric measure theory, has now been proven (in three dimensions) by Hong Wang and Joshua Zahl! arxiv.org/abs/2502.17655 I discuss some ideas of the proof at terrytao.wordpress.com/2025/02/25/t...