Luis Lamb

#AI #Tech; PhD @imperialcollege; @MIT MBA;@mitsloan; CS @inf_ufrgs #neurosymbolicAI pioneer #AIStrategy Personal tweets

[Luis Lamb @luislamb]

On neural-symbolic computing: suggested readings on foundations of the field - by @AvilaGarcez @pascalhitzler @GaryMarcus Barbara Hammer and colleagues

[Association for Computing Machinery @TheOfficialACM]

On this day in 1916, Herbert ("Herb") Alexander Simon, was born. Simon received the 1975 #ACMTuringAward with co-recipient Allen Newell for making basic contributions to AI, the psychology of human cognition, and list processing: https://t.co/eRxOo4Q63u

[Luis Lamb @luislamb]

Just saying… I moved to Boston, the @celtics won the @NBA title after 16 years; I moved to Seattle @Seahawks won the Super Bowl after 12 years; I moved to NY @nyknicks won the @NBA title after 53 years. If you want your team to win it all the way, here is the clear strategy. 😂

[Luis Lamb @luislamb]

Church advised Alan Turing himself, Dana Scott (AM Turing awardee), Michael Rabin (AM Turing awardee), Kleene, Henkin, Rosser, Smullyan, and many luminaries. His academic tree is the Redwood Forest of Computer Science. Giants of the field were his PhD students.

[Association for Computing Machinery @TheOfficialACM]

Happy Birthday to Alonzo Church. Born on June 14, 1903, Church helped establish the mathematical foundations of computer science through his work on lambda calculus, computability, and the Church–Turing thesis. His ideas continue to influence programming languages, algorithms, and our understanding of what computers can and cannot do.

#PioneerPOV #ACM #pioneer #computerscience #lambdacalculus

[The Scientific Lens @LensScientific]

A colleague at Caltech once challenged Feynman to explain why spin-½ particles obey Fermi–Dirac statistics in terms a freshman could understand.

Feynman happily accepted and promised to prepare a beginner-friendly lecture.

A few days later, he returned with an unexpected conclusion:

“I couldn’t do it. I couldn’t reduce it to a freshman level. That means we really don’t understand it.”

He took this as a lesson in teaching: if an idea can’t be explained simply, our understanding of it may not be as complete as we think.

The story became a reminder among students and faculty that even the greatest physicists should measure their knowledge by their ability to communicate it clearly. It also captured Feynman’s dislike of “cargo cult” teaching and his determination to cut through academic pretense.

[Physics In History @PhysInHistory]

John v. Neumann on 'the usefulness of Mathematics'

A large part of mathematics which becomes useful developed with absolutely no desire to be useful, and in a situation where nobody could possibly know in what area it would become useful; and there were no general indications that it ever would be so. By and large it is uniformly true in mathematics that there is a time lapse between a mathematical discovery and the moment when it is useful; and that this lapse of time can be anything from 30 to 100 years, in some cases even more; and that the whole system seems to function without any direction, without any reference to usefulness, and without any desire to do things which are useful.

-- as mentioned in "The Role of Mathematics in the Sciences and in Society" (1954)

[Anne Applebaum @anneapplebaum]

Amazing: KPMG wrote a report describing the successful use of AI by businesses. But the case studies turned out to be AI hallucinations.
https://t.co/s3LE8vedNi

[Financial Times @FT]

KPMG report contained AI hallucinations on benefits of . . . AI https://t.co/RCimsv1FkL

[Quanta Magazine @QuantaMagazine]

Terence Tao doesn’t think AI will replace human mathematicians anytime soon, but he does consider it well suited to helping solve certain types of complex mathematical problems: ones that can be broken into thousands of small, manageable subproblems.
https://t.co/alhsq5Mm8b

[The Economist @TheEconomist]

The latest generation of AI models are such competent coders, engineers and (soon) scientists that many worry they may be among the last ever made by humans https://t.co/RkvHRn4olR

[Nasdaq @Nasdaq]

.@SpaceX listing day is here. Watch live. $SPCX https://t.co/VTXg0N2TBc

[Albert Einstein @AlbertEinstein]

Albert Einstein and Marie Curie.

[Valerio Capraro @ValerioCapraro]

Students without access to LLMs are 2 to 8 times more creative than students with access.

That is the finding of a new paper comparing 2,200 college admissions essays written by humans before ChatGPT with essays generated by GPT-4.

The key point is not individual creativity. GPT-4 can write well, sometimes better than individual students. The problem is collective creativity.

Each new human essay added new semantic territory. New ideas. New angles. New experiences. New combinations.

Each new GPT-4 essay added much less.

The authors call this the diversity growth rate: how much novelty each additional text contributes to the collective pool of ideas.

Humans kept expanding the pool. GPT-4 made the pool converge.

Even when the authors pushed GPT-4 to be more creative, changed parameters, or used chain-of-thought prompting, the homogenizing effect remained.

This is the real danger of AI in education.
Not that students will write worse.
That everyone will write the same.

*
Full paper in the first reply

[Association for Computing Machinery @TheOfficialACM]

Happy Birthday, Sir Tim Berners-Lee! Berners-Lee received the 2016 #ACMTuringAward for inventing the World Wide Web, the first web browser, and the fundamental protocols and algorithms allowing the Web to scale. https://t.co/I0qPxd57sp

[François Chollet @fchollet]

Scaling knowledge gives you static competence. Intelligence gives you adaptability.

[Luis Lamb @luislamb]

@LensScientific Missing Newton's laws. Newton changed science, forever, like no one before or since. He turned science into a deep mathematically grounded endeavor, abandoning speculation and naïve models.

[Eric Topol @EricTopol]

Home alone. Remote work can adversely influence mental health. A new study @ScienceMagazine
https://t.co/sXlG0LEJGq
https://t.co/b7cq4e0hZy

[Martin Ford @MFordFuture]

The new edition of "Rise of the Robots: Technology and the Threat of a Jobless Future" is now available on Amazon and at bookstores!

This new edition covers the latest advances in #AI and robotics and to explores the future economic and job market implications of the unfolding AI disruption.

Amazon link in the reply.

[Luis Lamb @luislamb]

@NeurIPSConf A move in the right direction. Congratulations to the Track PC chairs and organisers. @NeurIPSConf

[NeurIPS Conference @NeurIPSConf]

This year, the NeurIPS 2026 Position Paper Track made the decision to require that all papers be substantially human-written, with AI used for only copy-editing or similar peripheral changes to the main text!

For more details, please check our blogpost: https://t.co/wrWuMQJwrx

[MIT CSAIL @MIT_CSAIL]

What really happens inside a computer chip?

MIT CSAIL built an operating system kernel called "Fractal" that gives researchers a clearer view. It revealed that the Apple M1 could be vulnerable to a class of speculative attack known as "Phantom": https://t.co/8TsVfIpXCC