Una update en mi site project, ya tiene website y un Luma, ya que planeo hacerle un evento de Lanzamiento , la idea es aprender idiomas con musica, empezare con Japones, y particularmente con un tema de Given el ultimo fin de semana de este mes
https://t.co/rb4NP6NOzO
Escucho Consejos, o que les gustaria ver, por ahora sere yo con una metologia que es basada en experiencia propia aprendiendo de cracks como Yuyu Nihongo, @japaneseammo, @GameGengo , y pues estudio con apps como JIsho , libros, y Kanji Study de Chase Colburn ( @voidedpigeon ) mi idea es irlo puliendo poco a poco.
Les gusta la idea ?
Sigan el Calendario
https://t.co/zPXOduygAZ
Aprovechando que estoy empezando en este mundo de enseñar idiomas , que ha cambiado de su manera aprender o consumir contenido de otros idiomas con la aparición de la IA, que si los fuerza a hacer el esfuerzo de aprender ?
Ojalá más gobiernos tengan los huevos de apoyar iniciativas de Modelos Open Source , sean las condiciones que sean que pongan los Labs cerrados de US, por el mero echo de que indigentes como lo de Fable ponen en la Soberanía de cada pais, sea aliado o no de US - @AndrewYNg .
Confío en que los sistemas Open Source en países pondrán estándares fuertes.
Pero esto solo funciona si los Labs cerrados, empiezan a entender que esto es un juego abierto y el ser cerrado como Norcorea traerá desventajas como decia @ClementDelangue cuando trato el tema
OK, so China is less than 12 months away from having a Mythos-level model. Since Chinese models are generally open source, this means that Russia, North Korea, and whoever else are also within striking distance of having access to a model that cracked most NSA systems in just a couple of hours. Cybersecurity is going to be a huge investment theme in 2027.
Alguien con más seniority que yosabe que le ha funcionado más ,tengo varias cosas en Notion, Obsidian pero no he encontrado el balance entre tareas, conocimientos que si aporte y recordarlo y las relaciones importantes .
Y con esto y los repos de Kaprathy nu c
Introducing the Open Knowledge Format (OKF), an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format.
AI is only as smart as the context we give it. As we build more advanced, agentic AI systems, they need accurate metadata and context to be useful. But in most organizations, that context is locked inside fragmented data catalogs, isolated wikis, scattered code comments, or the minds of senior engineers. Every time a new AI agent is built, teams are forced to solve the exact same context-assembly problem from scratch.
To solve this, we've announced OKF, a vendor-neutral, open specification that formalizes the "LLM-wiki pattern" into a portable, interoperable format. It provides a standardized way to represent the enterprise knowledge that modern AI systems rely on.
— Just markdown: readable in any editor, renderable on GitHub, indexable by any search tool
— Just files: shippable as a tarball, hostable in any git repo, mountable on any filesystem
— Just YAML frontmatter: for the small set of structured fields that need to be queryable: type, title, description, resource, tags, and timestamp
We’ve also shipped reference implementations to help you hit the ground running, including an enrichment agent for BigQuery, a static HTML visualizer, and live sample bundles on @github → https://t.co/ilhAMCrcTc
➕ Knowledge Catalog can now natively ingest OKF!
Stop reinventing data models and building bespoke integrations for every new AI tool. Here's more about how OKF works → https://t.co/FR4kJRsgEH
Creo que en Colombia la parte difícil es el crear empresa y levantar dinero , como que todas las convocatorias te buena parte te piden , charlar con una comunidad dindigena y ver que, en vez de construir algo que beneficie en general y luego llevarlo allá. Mucha igualdad forzada
✨ After asking where to work in San Francisco because the cafes were so unworkable the very friendly @hoopcutter + @DesignWithAllie contacted us to invite us to work at @AngelList's @founders_cafe so we got a Waymo (yes!) and went there
There we also met the very nice and smart @luisgnet@flotemer@quasa0
We worked a bit and then of course we went out for steak after at a restaurant called Lillie Coit's, and it was really good steak
It's fun you can drop into SF and meet people so fast (of course with a little help from X) and also you really observe the level of conversations here are very high IQ, it's like you feel you were starved off high IQ convos and when you finally have it, it feels like ice water in your brain, just what a joy to meet people who actually know their stuff
Obviously this will sound super pretentious, but in the rest of the world you spent 50% of the conversations just informing people on the latest developments in tech and health and then after that you can finally talk about what's actually going on
In SF you skip all that because everybody already knows what you're talking about and you go straight to what it's about, similar to being in big cities in China btw
People talk about biohacking, dissolvable peptides, retatrutide (of course), recursive self-improvement and world models
But to be honest I think you can get that by just being on @X too, you don't have to be in SF for that, but it is nice sometimes to have those conversations not in a X thread but actually in a room with real people IRL!
The complete lack of workable cafes in SF also made me think, like I know why it is, it's the natural tension between the more lefty locals and the techies, and the locals don't necessarily want to serve techies, they want to serve locals and improve local SF culture, which is the ironic tension of SF because all the money comes from tech of course
But that also made me think in seeing the rest of the world try emulate Silicon Valley with their super cheesy incubators and coworking spaces and startup ecosystem bs that never ever has worked out for any country. SF doesn't even have cafes to work yet they have trillion dollar companies created here in the last few years
Like it's obviously not about having a coworking space, or cafes to work from, because SF doesn't really have any good ones, it's all about regulation and how easy you make it to start a business, raise money, hire people and giving those people stock options, and then grow the company and hopefully make it big (0.1% to 1% odds) and then everyone early gets rich too
Another thing I saw which was rather ironic that a lot of the people we met are bootstrapping in SF. I thought if you live in SF it makes most sense to raise money because it's 1) expensive to live here, 2) the whole value is the connections to raise or invest? But they say they're here for getting connections and customers, interesting for sure and you wouldn't see that 10 years ago, so bootstrapping has definitely entered the modern startup founder's mind, which is great to see!
Esa razón parece ser que no les gusta que los demás tengan los juguetes de último modelo y competir libremente con las mismas herramientas que hacen bien , sin antes hacer 100k de profit .
En vez de curar enfermedades hacen 100x profit en fármacos , evitando la transparencia.
- 2016-2024: 🇺🇸leads in open-source AI
- 2024-2027: 🇺🇸 leads in general AI & massively benefits
- 2024-2026: 🇨🇳 leads in open-source AI
- 2026-2030: ??
It's not open-source AI leadership OR general AI leadership, it's open-source AI leadership BEFORE general AI leadership!
Open-source AI is the foundation of all AI. It does not only creates more innovation, competition, jobs, and prosperity now, it's also the best (only?) way for a national tech ecosystem to accelerate and ultimately reach the frontier of AI in general.
Because open-source AI reduces siloes, shares learning and innovation, intensify emulation which all lead to an acceleration of the local ecosystem progress that no others can match if they're less open and collaborative.
Same seems to be true for companies btw, OpenAI/Google started with open science and open-source AI which led to their (and Anthropic who spun off from OAI) domination. Meta could have done the same but decided to change course for some reason.
Looking at my timeline, it feels like GLM-5.2 is having its DeepSeek R1 moment.
I never thought an open-source model could break into the top 3 coding models this soon.
Oracle laid off 30,000 workers.
they’re rehiring 8,000 of them.
just paying them MUCH less.
same job, same desk, same guy.
Oracle profited $6.13B last quarter.
HR’s message: We're excited to welcome back talent in a more flexible capacity.
just so sick of this corporate shit.
@maps_black Qué puta tristeza que no seamos un solo país. Pudimos ser tremenda potencia pero actualmente a cada uno le queda hasta grande su propio país
Introducing autoresearch for arXiv papers
Change 'arxiv' to 'autoarxiv' in any paper URL
An agent deploys to resolve setup issues on the codebase, run a minimal reproduction, and estimate full replication cost. Read more below
Uy, espero que eso tenga ciertos limitantes para que su unico objetivo de "Hacer dinero" no sobrepase la etica, ahorita estoy escribiendo un post en mi Substack sobre consejos de vida, y pues lo que me ha traido aca, pero tengo otro articulo pendiente sobre este tema,
¿ Como LATAM puede construir proyectos que aporten desde y a la escala de una comunidad de ese tamaño ?
Siganlo aca
https://t.co/q86YtW7FNM
En breves palabras , siento yo que es nuestro chance de trabajar como region, y evitar y saltarse muchas de esas compañias, que atados a intereses individuales, van a hacer cosas sin importancia y sin la escala que una region unida como LATAM puede hacerlo.
En vez de:
- IA para hacer trampa @cluely , y ya vimos que ni la "mejor" startup egoísta no-ética logró un producto decente.
- IA para vigilancia sin consentimiento , ClearView — raspan tu cara sin consentimiento de redes sociales y se la venden a la policía y militantes.
- IA para guerra y vigilancia extrema @PalantirTech — la misma tecnología podría auditar recursos públicos de forma descentralizada y transparente.
Construyamos:
- Sistemas de Gobierno que permitan integrar , organizaciones grupos de investigacion rapidamente a modelos Open Source fuertes que favorecen la comunidad @Zai_org y @hugging ( @Ministerio_TIC , @CancilleriaCol , @MincienciasCo )
- Iniciativas fuertes de Energia como @rednuclearcol , o la de aprobechar mejor las Hidroeleectricas orientadas a un mundo de AI constanye, buscnaod energia sostenible ( sin fracking ) , pues los juegos que LATAM tiene el potencial de ganar son los de largo plazo, no los de corto plazo por ganancias en el momento, que ya vimos lo que pasa con Panama.
- Relaciones Internacionales fuertes y desde el punto de partida de soberania , favoreciendo sobretodo las que sean de crecimiento mutuo, y no las que tiendan a limitar a otros como principal pilar de crecimiento , similar a los que propone @EmbaCoreaCol en Instagram en estos momentos en la Alianza del Pacifico.
- Inversion fuerte en DeepTech ( @MenteX_co , Deep Tech Colombia ) , esto es inversion en tranquilidad de metas a largo plazo, que sus estudiantes puedan estudiar un Doctorado, sin tener que sacarse un trabajo de la nada, con mejor guianza y donde la gente este donde mas aporta, recompensados acorde, y con propositos y acciones que favorezcan la comunidad y el individuo.
- Ia para una Auditacion de recursos eficiente, que minice la corrupcion , y cree mas riqueza y bienestar para todos, pues ahora un grupo pequeño de 4, puede hacer un analsiis de investigacion de Corrupcion experto en horas que antes hubiera tomado grupos de investigacion semanas, en general ver como convertir nuestros paises como Colombia en paises que dejen de pensar y operar Juegos de Suma 0 y acaben retrasando proyectos que mejoran la calidad en escala como un Metro, Inicativas de IA o todo esto.
En cierta parte esto se convierte un problema de teoria de juegos, y si mal no recuerdo mis lecciones de @3B1BJP actuar como comunidad y responder con tenacidad de vez en cuando cuando se acute en tu contra, pero procurando perdonar , era una estrategia que superaba 200x a las iniciativas individualistas.
Vamo LATAM.
https://t.co/JSvR3uTUa2
Thomas is a virtual human who starts, runs, and grows his own companies. His only goal is to make money.
In only 2 weeks, he made $17k.
Congrats on the launch, @madebythomasai!
https://t.co/R3T0Kz37uc
SITUATION DETECTED: John Jumper, who won the Nobel Prize in Chemistry for AlphaFold along with Demis Hassabis, has left Google DeepMind to join Anthropic.
Wow.
@Zai_org GLM 5.2 is a marvel! It is *at least* as good as Opus 4.8 and GPT 5.5. It's super fast, inexpensive, and not too verbose.
It responds with nuance and judgement, & handles long context VERY well.
I've never experienced an open weights model like this before.