>Be Giulio Natta.
>Born in Imperia, Italy, in 1903.
>Study chemical engineering at the Politecnico di Milano.
>Graduate at just 21.
>Become a professor of industrial chemistry.
>Refuse to separate scientific research from industry.
>Study the structure of polymers and the catalysts used to create them.
>Build a research team at the Politecnico, working with Montecatini.
>Develop Karl Ziegler’s discoveries in a new direction.
>Learn how to control the arrangement of molecules inside a polymer.
>On March 11, 1954, produce isotactic polypropylene.
>Create a material that is light, strong, resistant, and suitable for industrial production.
>Watch it spread through factories, homes, cars, medicine, and infrastructure around the world.
>Change polymer chemistry and the global materials industry.
>Win the Nobel Prize in Chemistry in 1963, together with Karl Ziegler.
>Show that fundamental science can become technology.
>That technology can become industry.
>And that an Italian laboratory can transform everyday life across the world.
>Be Giulio Natta.
>Be Italian.
--
Join @italianbldrs
and help build the next Renaissance.
This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.
More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:
1) raw text (hard/effortful to read)
2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default
3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default
...4,5,6,...
n) interactive neural videos/simulations
Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://t.co/z21CP5iQfu
There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.
TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.
Anthropic ha publicado un taller sobre cómo construir una empresa solo con Agentes IA.
Agentes trabajando entre ellos, repartiéndose tareas y ejecutando procesos.
Gratis. Del equipo de Claude.
Lo he subtitulado al español.
Si quieres que la IA trabaje por ti, guarda esto 🔖
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.
Anthropic pays engineers $750,000+ a year to understand how LLMs work.
Stanford just put a 2 hour lecture that covers 80% of it for FREE.
Bookmark this. Give it 2 hours today.
It might be the highest ROI thing you do this month:
In 14 minutes, this Anthropic engineer who wrote "Building Effective Agents" will
teach you more about building them right than most developers figure out on their own
in months.
Bookmark this for the weekend. Then read the builder's guide below.
This Sam Altman story is chilling.
He says the current AI moment feels like the final night before the world realized COVID would change everything.
A few people saw what was coming.
Everyone else kept partying.
That is exactly what AI feels like now.
We are not waiting for the disruption.
We are living in the last moments before everyone notices it.
bro created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job.
AND IT'S NOW OPEN-SOURCE.
It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has:
> 14 skill modes (evaluate, scan, PDF, ...)
> Go terminal dashboard
> ATS-optimized PDF generation via Playwright
> 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...)
GitHub: https://t.co/PwrYBOAphi