#alphatensor — Public Fediverse posts

#Google #DeepMind used a #largelanguagemodel (#LLM) to solve an unsolvable #math problem
First #AlphaTensor found a way to speed up a calculation at the heart of many different kinds of #code, beating a 50-year record. Then #AlphaDev found ways to make key algorithms used trillions of times a day run faster.
They had to throw away most of what it produced but there was gold among the garbage. https://www.technologyreview.com/2023/12/14/1085318/google-deepmind-large-language-model-solve-unsolvable-math-problem-cap-set/

@achim I agree that most probably #ChatGPT won't help us solve the climate crisis or world hunger. At least not in a direct way. But I also deem it a bit unfair to dismiss all AI technologies as baseless hype without any scientific merit. #AlphaFold changed protein folding research forever, and #AlphaTensor recently found a faster matrix multiplication algorithm (https://www.heise.de/news/AlphaTensor-AI-system-speeds-up-matrix-multiplication-with-new-algorithm-7288780.html). Thus, I would be more than happy to see the advent of a coding AI advancing #OpenSource developments. :)

Tomorrow 5pm Alhussein Fawzi
will talk about #AlphaTensor discovering faster matrix multiplication algorithms, the #Maths breakthrough from DeepMind with reinforcement learning.

Register in person (London) or online:
https://eventbrite.com/e/imperial-college-icarl-seminars-alhussein-fawzi-deepmind-tickets-451788921827?aff=estw&utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-source=tw&utm-term=checkoutwidge
#ArtificialIntelligence
#ImperialCollegeLondon

When ever I see a cool new result in #ComputationalMath, I like to see if I can replicate it. So, last month when that Nature article came out about #MatrixMultiplication formulas from #AlphaTensor I set out see if I could get their formulas and verify them symbolically.
I was able to do that and of course they were right. But I was excited to see Kauers and Moosbauer publish a response a couple days later. So, here's their results replicated in a Maple Jupyter notebook https://github.com/johnpmay/MapleSnippets/blob/main/KMtoFFM.ipynb

One week for Alhussein Fawzi
talk at the @icarl research spotlight session about #AlphaTensor @Nature the recent #Math breakthrough from
DeepMind through reinforcement learning.

You can attend in person (London) or online. Register here!
https://eventbrite.com/e/imperial-college-icarl-seminars-alhussein-fawzi-deepmind-tickets-451788921827?aff=estw&utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-source=tw&utm-term=checkoutwidge

#artificialintelligence

Finally got a chance to review the #AlphaTensor paper from @AlhusseinFawzi and team @DeepMind. Interesting piece and trajectory.
But the response from @ManuelKauers and @jakobmoosbauer in their paper "FBHHRBNRSSSHK-ALGORITHM", beating Deepmind's 5x5 matmul by 1.
The abstract reads somewhere between a tongue and cheek, "lets poke fun at this" comment and a literal shitpost, and I’m not over it.

The question of course is how much @googlecloud time does @DeepMind now get to take back the record?