Andrea Baresi

Computer Scientist

[Google DeepMind @GoogleDeepMind]

Gemma 4 punches above its weight, outperforming models 10x its size without the need for massive compute.

With 10M+ downloads in its first week and 500M+ for the Gemma family overall, we’re excited to see this level of engagement within the open research community.

[Andrea Baresi @hyle]

Opinionated fork di Zed code #editor.
Da tenere d'occhio.
https://t.co/2Lc9k26thj

[Andrea Baresi @hyle]

Just released fuoricode: a tiny zero-dependency C tool that packs your entire codebase into a single Markdown file. Perfect for dropping context into an LLM. #opensource #devtools https://t.co/xHZWBJ0kqN

[Andrea Baresi @hyle]

Gemini (in its 3.1 Pro incarnation) still ends up doing its rumination--or whatever this scary thing is. #LLMs

[Andrea Baresi @hyle]

Ora è diventato praticamente impossibile rigiocarci, salvo un futuro miracolo da parte di ResidualVM o di qualche progetto complementare (e.g. G-Engine).

[Andrea Baresi @hyle]

Ma quanto era bello, lo ricordate? #GabrielKnight3

"Et in Arcadia ego sum"
https://t.co/iRiKZ3JXKt

[Andrea Baresi @hyle]

Convert EPUBs to legacy Kindle format without the bloat. Minimal python, standard library only, single file. When you need to read something without installing Calibre
https://t.co/EfpbVIlqay

[Andrea Baresi @hyle]

Where 'AGI fully realized' will, for a while, just be current LLMs scaled a bit more, with fewer hallucinations, better tooling, and long-term memory.

[Garry Tan @garrytan]

AGI fully realized will actually give people a choice:

relax

or

work harder on bigger more ambitious things than you ever thought possible

[Andrea Baresi @hyle]

From "walled gardens" to "agentic walled gardens". The platform still controls which counterparties you can reach, the protocols, the ranking, fees, and even which "service agents" are visible. Walled gardens aren’t automatically bad, but... #AgenticEconomy

[Andrea Baresi @hyle]

Culture influences institutions, and institutions reinforce or reshape culture, but the two are not the same. You can change an institution with the stroke of a pen; changing culture requires changing minds.

[Andrea Baresi @hyle]

Technology is a lever, not a compass.

[Andrea Baresi @hyle]

Adopting some of the latest coding tools puts us in a kind of Turing run-around-the-house (very serious) game for programming--where we can instruct an agent to handle (a very proficiently instructed portion of) our coding chores while we stay fit.

[The Nobel Prize @NobelPrize]

This year’s chemistry laureates Demis Hassabis and John Jumper have developed an AI model, AlphaFold2, to solve a 50-year-old problem: predicting proteins’ complex structures.

Check out two examples of protein structures determined using AlphaFold2. First up, a bacterial enzyme that causes antibiotic resistance. The structure is important for discovering ways of preventing antibiotic resistance.

Animation: ©Terezia Kovalova/The Royal Swedish Academy of Sciences

#NobelPrize

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

[Andrea Baresi @hyle]

John Gruber on Dave: "He has such a distinctive writing voice that is impossible to imagine in any medium other than the web. But I think that’s because he helped define what writing not just on the web, but for the web, even meant." #quote

[Andrea Baresi @hyle]

A brooding piece by J. Naughton, celebrating the 30th anniversary of Dave Winer's blog, Scripting News, and discussing the enduring relevance and impact of the #blogosphere. https://t.co/aLkfUsBDu8

[Andrea Baresi @hyle]

Il vero genio non lavora sulle alte probabilità. #LLMs

[Andrea Baresi @hyle]

And we already know it quite well.

[nature @Nature]

What's next for AlphaFold and the AI protein-folding revolution https://t.co/Y5LXV4k1hr

[François Chollet @fchollet]

Real-time person segmentation in your browser with TensorFlow.js