Fabio Ciotti (@fabio_ciotti) 's Twitter Profile
Fabio Ciotti

@fabio_ciotti

Professor Un. Roma Tor Vergata, Digital Humanist, mountain biker and climber

ID: 966422798

linkhttp://directory.uniroma2.it/index.php/chart/dettagliDocente/8353 calendar_today23-11-2012 16:33:44

1,1K Tweet

1,1K Followers

436 Following

Alexander Doria (@dorialexander) 's Twitter Profile Photo

Florence works surprisingly well out of the box for OCR recognition on challenging text (old French ads with unusual typography). Will get even better with fine-tuning.

Florence works surprisingly well out of the box for OCR recognition on challenging text (old French ads with unusual typography). Will get even better with fine-tuning.
AIUCD (@aiucd) 's Twitter Profile Photo

Su UniCtMagazine un resoconto del convegno #aiucd2024: "Un dialogo a distanza: il digitale e il Mediterraneo" unictmagazine.unict.it/un-dialogo-dis… #Mediterranean #dh

Nomic AI (@nomic_ai) 's Twitter Profile Photo

Launching GPT4All 3.0: The Open-Source Local LLM Desktop App - Completely Private Experience - Supports 1000’s of models and all major operating systems - Major UI/UX Improvements - Local File Chat - MIT Licensed Get started below:

Alberto Acerbi (@acerbialberto) 's Twitter Profile Photo

The present study investigates the evolution of a more abstract dimension of popular music, specifically melody, using a new dataset of popular melodies spanning from 1950 to 2023 nature.com/articles/s4159…

TEI Consortium (@teiconsortium) 's Twitter Profile Photo

New release! The Six Degrees Release: coming for the most part from feature requests or bugs reported by the TEI community using the GitHub tracking system. Check it out: tei-c.org/release/doc/te…

Martin Haspelmath (@haspelmath) 's Twitter Profile Photo

The term "lexical item" has four different senses. My paper about this fourfold ambiguity is now out (in "Lexique", a journal published in Lille), and in this blogpost, I give a short overview and explain the motivation for writing the paper. dlc.hypotheses.org/3549

David Chalmers (@davidchalmers42) 's Twitter Profile Photo

in AI interpretability research, what's the state of the art for decoding "thoughts": roughly, propositional representations (like the cat is on the mat or 7 is prime or lunch is at 1pm or there's a black tile on e4) that are active in a language model at a time? clarificatory

David Chalmers (@davidchalmers42) 's Twitter Profile Photo

this clip of me talking about AI consciousness seems to have gone wide. it's from a @worldscifest panel where Brian Greene asked for "yes or no" opinions (not arguments!) on the issue. if i were to turn the opinion into an argument, it might go something like this: (1) biology can

Aston Zhang (@astonzhangaz) 's Twitter Profile Photo

Our Llama 3.1 405B is now openly available! After a year of dedicated effort, from project planning to launch reviews, we are thrilled to open-source the Llama 3 herd of models and share our findings through the paper: 🔹Llama 3.1 405B, continuously trained with a 128K context

Our Llama 3.1 405B is now openly available! After a year of dedicated effort, from project planning to launch reviews, we are thrilled to open-source the Llama 3 herd of models and share our findings through the paper:

🔹Llama 3.1 405B, continuously trained with a 128K context
Andrej Karpathy (@karpathy) 's Twitter Profile Photo

Huge congrats to AI at Meta on the Llama 3.1 release! Few notes: Today, with the 405B model release, is the first time that a frontier-capability LLM is available to everyone to work with and build on. The model appears to be GPT-4 / Claude 3.5 Sonnet grade and the weights are

David Chalmers (@davidchalmers42) 's Twitter Profile Photo

here's my philosophical eulogy for Daniel Dennett, in a memorial session at ASSC27. the first half is biography; the second half is more personal. i'm honored to have been his adversary. i'm privileged to have been his friend. youtube.com/watch?v=dQl8Xx…

melissa terras (@melissaterras) 's Twitter Profile Photo

New paper! "On Automating Editions The Affordances of Handwritten Text Recognition Platforms for Scholarly Editing" looking at how HTR is impacting labour and production pipelines, with @pmgooding Joe Nockels Sarah Ames Andy Stauder scholarlyediting.org/issues/41/on-a…

Melanie Mitchell (@melmitchell1) 's Twitter Profile Photo

First episode of our new podcast is out! Episode 1: "What is Intelligence?" Hard to fully answer this question, but we had some great discussions about it with superstars Alison Gopnik (Alison Gopnik) and John Krakauer (John W. Krakauer) Give it a listen: complexity.simplecast.com/episodes/natur…

First episode of our new podcast is out!  

Episode 1: "What is Intelligence?"

Hard to fully answer this question, but we had some great discussions about it with superstars Alison Gopnik (<a href="/AlisonGopnik/">Alison Gopnik</a>) and John Krakauer (<a href="/blamlab/">John W. Krakauer</a>)

Give it a listen: 

complexity.simplecast.com/episodes/natur…
Raphaël Millière (@raphaelmilliere) 's Twitter Profile Photo

New chapter with Cameron Buckner on interventionist methods for interpreting deep neural networks. We review and discuss the significance of recent developments in interpretability research on DNNs from a philosophical perspective. 1/6 philpapers.org/rec/MILIMF-2

AIUCD (@aiucd) 's Twitter Profile Photo

We are pleased to share the CfP of the upcoming AIUCD conference, which will be held in Verona, Italy, between June 11amd 13, 2025: Diversity, Equity, and Inclusion: Challenges and Opportunities for DH in the Age of AI aiucd2025.dlls.univr.it/en-gb/call-for…

David Chalmers (@davidchalmers42) 's Twitter Profile Photo

congrats to Robert Long and Jeff Sebo (both NYU philosophy phds) for this fine piece on AI welfare. (i'm officially a co-author but rob and jeff led the project and did the serious work). eleosai.org/post/taking-ai…

Rohan Paul (@rohanpaul_ai) 's Twitter Profile Photo

"Understanding LLMs from Scratch Using Middle School Math" Neural networks learn to predict text by converting words to numbers and finding patterns through attention mechanisms. So the network turns words into numbers, then use attention to decide what's important for

"Understanding LLMs from Scratch Using Middle School Math"

Neural networks learn to predict text by converting words to numbers and finding patterns through attention mechanisms.

So the network turns words into numbers, then use attention to decide what's important for
Alex Cheema - e/acc (@alexocheema) 's Twitter Profile Photo

M4 Mac Mini AI Cluster Uses EXO Labs with Thunderbolt 5 interconnect (80Gbps) to run LLMs distributed across 4 M4 Pro Mac Minis. The cluster is small (iPhone for reference). It’s running Nemotron 70B at 8 tok/sec and scales to Llama 405B (benchmarks soon).

Alvaro Cintas (@dr_cintas) 's Twitter Profile Photo

Stanford has launched an incredible research AI tool. It’s called STORM, and basically you enter a topic and it will search hundreds of websites to write an article about its major findings. Available to everyone for free!