Alberto Cetoli (@[email protected]) @fractalego

Data scientist with an NLProc twist. fractalego.io London, England Joined June 2015

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Tsarathustra @tsarnick

10 months ago

Marc Andreessen and Ben Horowitz say that AI models are hitting a ceiling of capabilities: "we've really slowed down in terms of the amount of improvement... we're increasing GPUs, but we're not getting the intelligence improvements, at all"

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Mark Kurtz @markurtz_

10 months ago

The results are in: Trade-offs between accuracy & performance in LLM quantization After hundreds of thousands of evals and benchmarks from our research team at @NeuralMagic, I'm excited to share our findings on LLM quantization—now available as a paper on arXiv:…

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Polluxery @Polluxery

10 months ago

It saddens me how such an imaginative and creative show struggles to get a season 2, this is one of those shows that's gonna be cited as a main inspiration for movies and games 20 years from now, it's peak sci fi.

Catsuka @catsuka

10 months ago

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Catsuka @catsuka

10 months ago

Preview of "Scavengers Reign" Season 2. Unfortunately, this new season has not yet been greenlighted. So the creators of the show & Green Street studio produced this concept trailer in-house. Full video >> catsuka.com/news/2024-11-0… cc @josephbennett00 @charleshuettner

Catsuka @catsuka

11 months ago

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UBI Works 🇨🇦 @ubi_works

10 months ago

Former Conservative MP (UK) Rory Stewart on GiveDirectly's basic income program that transformed entire communities. "The results were absolutely staggering... The whole place just felt better. Happier."

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Asad Sayeed @[email protected] @asayeed

10 months ago

I may not be convinced that pragmatics is a thing but it sure comes in handy.

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Asad Sayeed @[email protected] @asayeed

10 months ago

Love it. Matches intuitions very well.

Alex Warstadt @a_stadt

10 months ago

Love it. Matches intuitions very well.

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Synthetic_soul @Synthetic_Copy

10 months ago

a touch that feels nothing

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soulscircuit @soulscircuit

10 months ago

An outdoor pic of Pilet 5. #raspberrypi #portable #computer

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Edward Saperia @edsaperia

10 months ago

Newspeak House is hosting an election night event, if anyone in London wants a place to be: lu.ma/f0gmn2dy

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Richard Sutton @RichardSSutton

10 months ago

Fans of The Bitter Lesson may be interested in this talk from 2018 (recently re-discovered) which includes its first public presentation, at 30:40. youtu.be/tUCJ4UsKU2I?si…

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Giorgio Robino @solyarisoftware

11 months ago

I like @OpenAI #SWARM and I indeed wrote an article about it: linkedin.com/pulse/swarming… But I am sadly surprised that the #FOSS github project sadly states in the issue page for each issue

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Pasquale Minervini @PMinervini

12 months ago

A few ideas from this 2018 paper on scalable neuro-symbolic reasoning are now mainstream 🙂 we 1) used k-NN/MIPS to find the most relevant facts in a KB to answer a query (as in RAG today), and 2) recursively decompose queries into sub-queries (like in CoT, but in embedding…

Miles Brundage @Miles_Brundage

7 years ago

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Kyunghyun Cho @kchonyc

10 months ago

the gap between OAI/Anthropic/Meta/etc. and a large group of companies all over the world you've never cared to know of, in terms of LM pre-training? tiny

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Matt Johansen @mattjay

10 months ago

What. The.

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SciFi Art @retroscifiart

10 months ago

RIP Greg Hildebrandt who has left us to join his brother Tim in Middle Earth

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Yam Peleg @Yampeleg

10 months ago

Gut feeling: Most common prompts the general public use LLMs for don't are simple and in the training set. The "hardest problems" we get annoyed LLMs can't solve around here, are not. Therefore: Some frontier labs overffit the training set deliberately. And most users love it.

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Louis Knight-Webb @LouisKnightWebb

10 months ago

Hottest week for London AI so far 🔥 Dev Day yesterday and AI Tinkerers tonight! london.aitinkerers.org/p/ai-tinkerers… @monzo @tortus_AI @_lucas_godfrey @QuotientAI @samshapley @LukeHarries_ @stephenbtl

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Max Tegmark @tegmark

10 months ago

Our new AI paper reveals surprising geometric structure in the LLM-learned concepts: 1) They form brain-like "lobes", 2) they form "semantic crystals" much more precise than it first seems, and 3) the concept cloud is more fractal than round: