^^Artificial
intelligence.
read “Style in Scientific Writing” here.
- rob: I computer hanno sostituito il capo contabile della banca (negli anni
1970-80), le Artificial
Intelligences ...
- L'intelligenza artificiale ruberà il lavoro (ed è giusto che sia cosi) a chi
non la userà !
- prova Warp invece del terminale standard. Niente più copia incolla dei
comandi, parli col terminale e gli fai creare al volo script e comandi bash 😉
AI matematica.
AI transumana.
2026-03-31
&t=458 Mistral just entered the voice race with Voxtral,
2026-07-10 yt I Built
an LLM From Scratch
Physicist Mario Rasetti
2026-06-13 yt The
Future of Artificial Intelligence: An Interview with Physicist Mario Rasetti
2026-05-15 Yann LeCun on What Comes After LLMs
FAIR := Facebook
AI Research, O Meta's Fundamental AI Research; Yann LeCun : Co-founded FAIR
alongside Rob Fergus in December 2013,
Founding Director & ,
left the diection after 4 year and 1/2, and became Chief AI Scientist.
VLA Visual Language Action Model
World Model := abilita' nel predire-prevedere le conseguenze delle
proprie azione
VAE Variational Autoencoders, or autoencoders
JEPA Joint Embedding Predictive Architecture
LeCun famously worked alongside AI leader Jeff Dean, Google's chief scientist
and head of Google AI.
Yann LeCun says:
- Ther's always going to be a prompt where the system is going to do
really stupid things.
- PyTorch: done by FAIR; entire industry is built on PyTorch basically.
- There are more restrictions on pubiication now in Meta and Google.
- If you're doing a Ph.D. you're not going the GPUs you need for work on
LLM.; so, like, forget that; like don't work on LLM.
- In a keynote ad NeurIPS 2016 i said that for human level AI we need
- self-supervised learning
- prediction from sensory signals, like video
- world models, they predict consequences of yout own actons and plan
Reinfocement Learning is not the thing that will take us there cuz is too
inefficient; supervised learning has shown its limits, and so, the future il
self-supervised learning and world models.
- D: What's like one thing you have changed your mind on in last year?
R: I mean, the whole idea what we used to call "unsupervise learning" that
we now call "self-supervised learning"
2026-03-16 Leanstral first open-source code agent designed for
LEAN
yt&t=581
Mistral introduced Leanstral for checking and fixing code through formal
reasoning,
https://mistral.ai/news/leanstral
2026-02-14 Google Gemini 3 DeepThink Is Now the Smartest AI In The World yt
il video dura
22min, merita di essere visto tutto, perlomeno per me che non avevo mai visto
risultati di benchmarks
Visione breve per chi codifica
iniziare a 2:15. benchmark "Codeforces"
(competitive programming community), e se si guarda solo la
tabella del risultato, gia' finito, il commento sottostante dura
qualche minuto.
Esempi d'uso fatto in campo scientifico 8:42
es: circa 6 mesi fa AI era in grado di risolvere problemi di matematica a
livello gold medal IMO (International Mathematical Olympiad), ora e' salito a
livello dei problemi affrontati per il PhD (Philosophiae Doctor o Dottorato di
Ricerca è il più alto grado scolastico universitario ottenibile, focalizzato sulla ricerca
scientifica originale, dura solitamente di 3-4 anni).
2026-01-22 Sergey Karayev: "Claude code Opus 4.5 is a watershed moment",
- moving software creation from an artisanal, craftsman activity to a true
industrial process. It’s the Gutenberg press. The sewing machine. The photo
camera.
- David Blundin: "The amount of code I've created in the last couple of months is
bigger than my entire life combined"
yt&t=2133 poi per quasi
15 min
Salim Ismail, Alexander Wisser-Gross, Peter H. Diamandis, David Blundin
anthropic/claude-opus-4-5
2026-01-20 yt Demis
Hassabis and Dario Amodei, debate AI at Davos World Economic Forum.
Previsioni sull'AI 2026, penso piu' affidabili. Se hai poco tempo, possono bastare 2 minuti da 1:42
- 1:42
Dario Amodei have Engineers within Anthropic who say "I don't write any code
anymore. I just let the model write the code. I edit the code."
1:52
Dario predicts models might be 6 to 12 months away from doing most, maybe all,
of what SWEs (Software Engineers) do end-to-end.
penso che la visione di Amodei-Anthropic sia sbilanciata dalla sua
specializzazione nel coding.
Dario Amodei (nato 1983) CEO of Anthropic
Demis Hassabis, Deep Mind co-founder & Ceo.
Terminologia
yt Demis
Hassabis: AGI vs Superintelligence (And Why We're Not There Yet)
yt Figure Just
DROPPED the Most ADVANCED AI ROBOT BRAIN — Meet Helix 02
Terence Tao & Riley Tao: Turning AI’s Firehose Into Usable Science
- 11:15 beautiful explanation on why benchmarks are useful until they are not.
- yt Terence Tao,
inaugural Veritas Fellow — autoformalizing number theory | Math, Inc.
-----------------------------------------------------
- 2026-02-10 yt Is
This Reasoning Energy Based Model The Next AI Breakthrough? w/ Eve Bodnia of
Logical Intelligence
-
- 2025-12-08 yt
NeurIPS 2025: Top 3 Highlights
AI agent >>>
AI assistant, co-work
AI matematica >>>
Ricadute AI
2025-10-26 yt 20 PhDs’ In the
Time of One: How AI Is Changing College
yt Mind-Blowing
Theoretical Physics with DeepSeek
Info particolari
- AI Explained
https://www.youtube.com/@aiexplained-official/videos
- yt AI, Machine
Learning, Deep Learning and Generative AI Explained
-
ieee/rodney-brooks-ai An Inconvenient Truth About AI:
AI won't surpass human intelligence anytime soon
-
ieee/deep-learning-computational-cost.
es: dimezzare gli errori di
riconoscimento fotografico richiede di moltiplicare per 500 la potenza di
calcolo
-
yt China's
slaughterbots show WW3 would kill us all.
yt Expert shows
AI doesn't want to kill us, it has to.
Biocomputer
wp/Long-term_potentiation
- 2026-03-14 yt
Scientists Put a Fruit Fly’s Brain Into a Computer Simulation — What It Did
Next Shocked Everyone...
-
https://eon.systems/updates/embodied-brain-emulation How the Eon
Team Produced a Virtual Embodied Fly
- Scientists have achieved an incredible breakthrough by recreating
the brain of a fruit fly inside a computer simulation. By mapping around
140,000 neurons and millions of connections, they built a digital brain
that can sense its environment, process information, and even control a
virtual body. In the simulation, the digital fly was able to search for
food, respond to stimuli, and show behaviors that were not directly
programmed by scientists. This discovery shows how powerful neural
connections are in generating behavior. It also raises fascinating
questions about the nature of intelligence, consciousness, and whether
complex brains—including ours—could one day be simulated in computers.
- 2026-03-02 Il computer con 200.000 neuroni umani che gioca a Doom
E consuma molto meno di una IA tradizionale. -
yt
Limiti AI
- Quando l'intelligenza artificiale bara: l'aneddoto degli husky scambiati
per lupi. zeusnews
AI filds
- wp/Long_short-term_memory
- LLM Large Language Model
- Pattern recognition wp/Pattern_recognition
A modern definition:
The field of pattern recognition is concerned with the automatic discovery of
regularities in data through the use of computer algorithms and with the use of
these regularities to take actions such as classifying the data into different
categories.
- Machine learning; apprendimento
automatico.
- boosting
-
ibm/autoregressive-model
La ricerca di una intelligenza artificiale generalista e' stata innescata da
...
“Single-brain”-style models have interesting connections to neuroscience.
Mountcastle (1978) famously stated that “the processing function of neocortical
modules is qualitatively similar in all neocortical regions. Put shortly, there
is nothing intrinsically motor about the motor cortex, nor sensory about the
sensory cortex”. Mountcastle found that columns of neurons in the cortex behave
similarly whether associated with vision, hearing or motor control.
This has
motivated arguments that
- we may only need one algorithm-model to build
intelligence
(Hawkins and Blakeslee, 2004).
Conclusions
In the future, such models could be used as a default starting point via
prompting or
fine-tuning to learn new behaviors, rather than training from scratch.
Neural network, rete neurale
3Blue1Brown series S3 E1
yt neural network, playlist Chapter 1, Deep learning
wp/Rete_neurale_convoluzionale
Links
- wp/AI_boom
- wp/AI_accelerator
-
yt AI MOOC URBINO