Loreto Parisi (@loretoparisi) 's Twitter Profile
Loreto Parisi

@loretoparisi

MSc EECS @UninaIT 2006. Working on #MachineLearning. #AI @musixmatchai Engineering Director @musixmatch Tweets are my own

ID: 7981712

linkhttps://github.com/loretoparisi calendar_today06-08-2007 00:59:59

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sunny (@thepiggsboson) 's Twitter Profile Photo

The software to create the black hole in the movie 'Interstellar' is a full implementation of Einstein's equations in 40,000 lines of C++, and rendered thousands of 23-megapixel IMAX frames on a 32,000-core render farm at about 20 core-hours per frame: arxiv.org/pdf/1502.03808…

The software to create the black hole in the movie 'Interstellar' is a full implementation of Einstein's equations in 40,000 lines of C++, and rendered thousands of 23-megapixel IMAX frames on a 32,000-core render farm at about 20 core-hours per frame: 

arxiv.org/pdf/1502.03808…
Loreto Parisi (@loretoparisi) 's Twitter Profile Photo

I have seen most of Python api frameworks, my most loved one was Tornado with its powerful support to multi multi threading and async concurrent threads. But using FastAPI powered by gUnicorn and uvicorn workers it’s amazing. A very effective example github.com/loretoparisi/d…

Francesco Orabona (@bremen79) 's Twitter Profile Photo

As promised, we put on Arxiv the proof we did with Gemini. arxiv.org/pdf/2505.20219 This shows that the Polyak stepsize not only will not reach the optimum, but it can cycle, when used without the knowledge of f*. Gemini failed when prompted directly ("Find an example where the

As promised, we put on Arxiv the proof we did with Gemini. arxiv.org/pdf/2505.20219

This shows that the Polyak stepsize not only will not reach the optimum, but it can cycle, when used without the knowledge of f*.

Gemini failed when prompted directly ("Find an example where the
Loreto Parisi (@loretoparisi) 's Twitter Profile Photo

✅Highest Discriminative 🥇AIME 2024 - 55% spread 🥈LiveCodeBench - 40% ‼️Medium 🥉GPQA Diamond - 25% spread Humanity's Last Exam - 16% ⚠️ Saturated MATH-500 - 10% spread HumanEval - 11% MMLU-Pro - 9% SciCode - 14% Artificial Analysis

✅Highest Discriminative 
🥇AIME 2024 - 55% spread
🥈LiveCodeBench - 40% 

 ‼️Medium
🥉GPQA Diamond - 25% spread
Humanity's Last Exam - 16%

⚠️ Saturated
MATH-500 - 10% spread
 HumanEval - 11%
MMLU-Pro - 9%
SciCode - 14%

<a href="/ArtificialAnlys/">Artificial Analysis</a>
Yuchen Jin (@yuchenj_uw) 's Twitter Profile Photo

DeepMind’s AlphaEvolve just broke an 18-year-old math record, twice in one week! Terence Tao: "It is tempting to simplify this to a zero-sum narrative of "winners" and "losers", but I think it is great that different approaches can complement each other here to make mathematical

DeepMind’s AlphaEvolve just broke an 18-year-old math record, twice in one week!

Terence Tao: "It is tempting to simplify this to a zero-sum narrative of "winners" and "losers", but I think it is great that different approaches can complement each other here to make mathematical
Mistral AI (@mistralai) 's Twitter Profile Photo

Announcing Magistral, our first reasoning model designed to excel in domain-specific, transparent, and multilingual reasoning.

OpenAI (@openai) 's Twitter Profile Photo

We are observing elevated error rates and latency across ChatGPT and the API. Our engineers have identified the root cause and are working as fast as possible to fix the issue. For updates see our status page: status.openai.com/incidents/01JX…