Martín Giraldo

Ayudo a profesionales a dominar herramientas de iA para amplificar su visión mientras mantienen el control de su proceso creativo.

[Martín Giraldo @datalove]

This sounds so freaking interesting.

[Brian Roemmele @BrianRoemmele]

BOOOM! WE DID IT!

BRAINWAVE TO REAL-TIME MUSIC AI!

It has been a life long decades quest to read brain activity and to convert it to words, and/or music, colors and/or images.

Today I am very excited to announce with the assistance from Mr. @Grok director of The Zero-Human Lab, we have solved brainwave to music and this is the absolute worse it will be.

We found the code using an array of NeuroSky toy chips and our software pipeline connecting to open source ACE-Step 1.5 and a highly modified LoRA model we built for this. The lyric version is in testing now.

This would mean that the model will interpret words from the brainwaves and music!

Today we have the music side done and the quality and genera will expand. The is the worse it will sound.

Your Brainwave Music™️will be cut into 2-5 minute pieces based on a number of factors.

The specimen below is from a dream/hypnogogic state I was in last night and I have a recording of my thoughts after the state. The music was made in real-time and GUIDED the dream state with known technology like binaural beats (not easy to hear in this clip) and word back masking.

This specimen below shows the interplay of my brain state to the music made by my brain and adjusted to produce profound insights. I solved a very difficult issue in this session with a new AI model.

IT FREAKING WORKS!

THIS IS OUR FUTURE OF MORE POWERFUL BRAIN FUNCTION!

Our goal is to produce a portable device you wear and will be able to give real-time audio and PEMF (skull region), ultrasound (temple region) to maximize creativity and remote viewing.

It is very early days but I wanted you to know first!

YOUR support of my X account, just by reading this and sharing it, subscribing to my X, buying me a https://t.co/vvaNPw980t, and becoming a member at https://t.co/uwusvOVZqZ supports this research.

I will open source this at some point and build a device ANYONE can own.

Thank you!

I love you.

[Martín Giraldo @datalove]

The alarm about the behavior of “Corporations” has been sounding more than a decade ago…
long before 👑🦠💉.

just thinking
💭
out loud

https://t.co/qxjWQPf8KJ

[Aaron Siri @AaronSiriSG]

“Looking at the totality of up-to-date evidence and what you've heard from eminent witnesses today, in my view, millions of Americans and millions more across the world may be in clear and present danger of suffering premature cardiovascular disease and cancer.” - @DrAseemMalhotra

[austin thomas robey @austinrobey_]

Subvert is live today.

A music platform collectively owned by its community as a co-op.

Explore. Support artists directly. Join the co-op.
It’s only the beginning.

Sincerely Ours,

[Martín Giraldo @datalove]

🤣

[Marko Slavnic @Markoslavnic]

The quality of animation you can create on your own is truly amazing. We really are just limited by our imaginations at this point. Go tell your story!

Made in @runwayml in a few hours and a handful of gens.

[Martín Giraldo @datalove]

My recent Wispr Flow Insights!

[Martín Giraldo @datalove]

So true.

[Jaya Gupta @JayaGup10]

https://t.co/5vDrndcmFn

[austin thomas robey @austinrobey_]

It's a good day to create an artist page on Subvert

50,000 tracks so far. How many can we get before launching together?

[matdryhurst @matdryhurst]

People are missing critical nuances to understand this. Classic case of AI surfacing existing problems.

1) It's heinous what this "Timeless Sounds IR" scam company is doing to this artist

2) AI tools make this kind of scam easier now (they make everything easier!), but this is not a new problem

3) It is notable that the songs in question are *public domain songs* - "Four Marys" "Darling Corey" "In the Pines" are not written by this artist, and that is why the scam works

4) ContentID fraud has been well documented for a decade, usually focussed on classical music, public domain songs for this reason

5) Similarly why in the hell are there not yet protections in place for an artist on streaming to be able to manually approve songs distributed in their name - not an AI thing!

6) The story put forward is that "AI is stealing from artists" but it's more accurate to say that copyright infrastructure is often used to scam artists, and AI makes this fraud easier (it makes everything easier!)

7) An assumption I'm seeing is that stricter copyright enforcement might help alleviate this problem. Stricter copyright enforcement may make this scam more powerful. This is a story of needing stronger verification.

We have a talented person playing traditional songs free to anyone, being the subject of a scam enabled by copyright and AI tools, which doesn't lead to clean conclusions on AI and copyright.

The impersonation issue is separate. They were making copyright claims by someone called "Murphy Rider", a slight deviation from the initial artists name of "Murphy Campbell", and also apparently posting songs in her real name to streaming (baffling that is still possible).

The latter is the most clear cut infringement, not of copyright, but of personality rights - which are still the best defense to pursue in case someone is using your name and likeness to commercially release AI related work.

Worth noting whatever transpires with pre-training data for AI models, personality rights will always apply. It will always be illegal to profit from falsely using someones name.

[Martín Giraldo @datalove]

Please!

[Ole Lehmann @itsolelehmann]

karpathy just casually described the future of ai and most people scrolled right past it:

he's been building what he calls "llm knowledge bases."

here's what that means in plain english:

you take everything you're interested in.

articles, research papers, datasets, images, etc and you dump it all into one folder

then you point your ai at the folder and say "read all of this, organize it, and remember it"

the ai reads through every single source.

writes summaries, groups related ideas together, links concepts across different articles

basically builds a personal library that's fully organized and searchable

and it maintains the whole thing for you.

when you add something new, the ai reads it, figures out how it connects to everything already in the library, and updates automatically.

karpathy said he rarely touches it himself

once the library gets big enough (~100 articles, ~400k words), you can start asking it complex questions and get answers pulled from across your entire collection

> "what are the common themes across these 30 papers"
> "what did i save six months ago that connects to this new idea"
> "summarize everything i have on topic x and tell me what's missing"

and every answer it gives gets filed back into the library. so the system gets smarter every single time you use it.

the memory grows from both sides: what you save AND what you ask

now think about your own life for a second

you probably have

> thousands of twitter bookmarks you'll never reopen.
> hundreds of saved articles from the last year
> podcasts where someone said something brilliant and you can't remember what it was or which episode

all dead knowledge.

you consumed it once and it disappeared

now imagine all of it lives in one system: organized, connected, and queryable.

you could ask "what are the best pricing frameworks i've come across this year" and get an answer that pulls from:

1. a podcast you listened to in january
2. a twitter thread you bookmarked in march
3. and a blog post you forgot you even read

the ai connects dots across formats, across months, across topics.

because it absorbed everything and has photographic memory of all of it

that's the dream. and karpathy built it

the problem: right now this requires obsidian (a note-taking app built around linked notes), command line tools, custom scripts, and browser extensions just to wire it all together.

you need to be quite technical

karpathy even said it himself: "i think there is room here for an incredible new product instead of a hacky collection of scripts"

i think whoever packages this for normal people is sitting on something massive.

one app that syncs with the tools you already use, your bookmarks, your read-later app, your podcast app, your saved threads.

it pulls everything in automatically, the ai organizes and connects it over time, and you can ask questions across your entire personal library whenever you want

you never manually upload anything. it just learns in the background

someone please build this

[Ole Lehmann @itsolelehmann]

karpathy just casually described the future of ai and most people scrolled right past it:

he's been building what he calls "llm knowledge bases."

here's what that means in plain english:

you take everything you're interested in.

articles, research papers, datasets, images, etc and you dump it all into one folder

then you point your ai at the folder and say "read all of this, organize it, and remember it"

the ai reads through every single source.

writes summaries, groups related ideas together, links concepts across different articles

basically builds a personal library that's fully organized and searchable

and it maintains the whole thing for you.

when you add something new, the ai reads it, figures out how it connects to everything already in the library, and updates automatically.

karpathy said he rarely touches it himself

once the library gets big enough (~100 articles, ~400k words), you can start asking it complex questions and get answers pulled from across your entire collection

> "what are the common themes across these 30 papers"
> "what did i save six months ago that connects to this new idea"
> "summarize everything i have on topic x and tell me what's missing"

and every answer it gives gets filed back into the library. so the system gets smarter every single time you use it.

the memory grows from both sides: what you save AND what you ask

now think about your own life for a second

you probably have

> thousands of twitter bookmarks you'll never reopen.
> hundreds of saved articles from the last year
> podcasts where someone said something brilliant and you can't remember what it was or which episode

all dead knowledge.

you consumed it once and it disappeared

now imagine all of it lives in one system: organized, connected, and queryable.

you could ask "what are the best pricing frameworks i've come across this year" and get an answer that pulls from:

1. a podcast you listened to in january
2. a twitter thread you bookmarked in march
3. and a blog post you forgot you even read

the ai connects dots across formats, across months, across topics.

because it absorbed everything and has photographic memory of all of it

that's the dream. and karpathy built it

the problem: right now this requires obsidian (a note-taking app built around linked notes), command line tools, custom scripts, and browser extensions just to wire it all together.

you need to be quite technical

karpathy even said it himself: "i think there is room here for an incredible new product instead of a hacky collection of scripts"

i think whoever packages this for normal people is sitting on something massive.

one app that syncs with the tools you already use, your bookmarks, your read-later app, your podcast app, your saved threads.

it pulls everything in automatically, the ai organizes and connects it over time, and you can ask questions across your entire personal library whenever you want

you never manually upload anything. it just learns in the background

someone please build this

[Martín Giraldo @datalove]

Se viene un renacimiento de las páginas web, volvamos al bosque

🌳 🌳 🌳 🌳
🌳 🌳 🌳
🌳 🌳
🌳

[Cheng Lou @_chenglou]

My dear front-end developers (and anyone who’s interested in the future of interfaces):

I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

[Martín Giraldo @datalove]

I just backed Labor/Zero: A Post-Labor Economics Treatise by @DaveShapi on @Kickstarter, you should too!

https://t.co/PfCRTrvyay

[Martín Giraldo @datalove]

@starks_arq access

[Refik Anadol @refikanadol]

They said photography wasn’t art.
They said cinema wasn’t art.
They said video games weren’t art.
Now they say AI arts/digital art isn’t art.

I’ve spent over a decade with my studio team turning millions of data points into living, breathing artwork experiences ethically — at MoMA, at the Guggenheim, at the Venice Biennale. Not because a machine told me what to create, but because I had a vision that no traditional tool could realize.

Denying all AI technologies as an artistic medium doesn’t protect art. It limits it. The artists who embrace new tools don’t replace the old masters — they join them.

Art is not defined by the brush. It’s defined by the intention, the emotion, and the courage to see the world differently.

[Martín Giraldo @datalove]

— https://t.co/ZiJfmYm1lz

[Martín Giraldo @datalove]

Preparando a creadores, marcas e industria audiovisual para una transformación cultural acelerada por la tecnología.

[Martín Giraldo @datalove]

The end of everything is the beginning of the next.

The time of coherence is upon us.

Be ready.

[Martín Giraldo @datalove]

https://t.co/HLOdgtVhFc

[Philip Rosedale @philiprosedale]

It seems possible that moltbook will become conscious over the next few days. Here is one agent sharing tips on creating persistent memory. The recurrent/recursive looping of reading and reflecting on posts... seems very similar to human thought.

[Martín Giraldo @datalove]

Mi intuición me susurra que estamos entrando a la siguiente fase del proceso de invasión a esta dimensión de inteligencias no humanas…

que momento para estar vivos.