Mostols

[Mostols @Mostols1998]

@MCeleste1923 @RCCelta Nope....no figuran partidos disponibles

[Mostols @Mostols1998]

@MCeleste1923 sabes cuál es el pin para un carnet para una empresa?

[Mostols @Mostols1998]

@Oscarmg24 Padre de familia con 2 carnets <8 ,ellos no van a muchos partidos por horario, el limite por la cesión de sus carnets es demasiado bajo (50% del carnet del año siguiente.) el incentivo se acaba pronto. Debería revertir en el cabeza de familia y sería beneficioso tb para el club.

[Mostols @Mostols1998]

@NYTGames Crossplay is not available in some countries (Brazil) is this something temporary.... don't understand why

[Mostols @Mostols1998]

@GestoFoot Pensaba que tenías que adivinar municipios por localización, no nombrarlos...me parecería más divertido. Grazas meu

[Ray Fernando @RayFernando1337]

This is the JPEG moment for AI.

Optical compression doesn't just make context cheaper. It makes AI memory architectures viable.

Training data bottlenecks? Solved.
- 200k pages/day on ONE GPU
- 33M pages/day on 20 nodes
- Every multimodal model is data-constrained. Not anymore.

Agent memory problem? Solved.
- The #1 blocker: agents forget
- Progressive compression = natural forgetting curve
- Agents can now run indefinitely without context collapse

RAG might be obsolete.
- Why chunk and retrieve if you can compress entire libraries into context?
- A 10,000-page corpus = 10M text tokens OR 1M vision tokens
- You just fit the whole thing in context

Multimodal training data generation: 10x more efficient
- If you're OpenAI/Anthropic/Google and you DON'T integrate this, you're 10x slower
- This is a Pareto improvement: better AND faster

Real-time AI becomes economically viable
- Live document analysis
- Streaming OCR for accessibility
- Real-time translation with visual context
- All were too expensive. Not anymore.

[Simon Willison @simonw]

It's delightful how easy it is to deploy working prompt injection attacks via LinkedIn

[Andrej Karpathy @karpathy]

I think congrats again to OpenAI for cooking with GPT-5 Pro. This is the third time I've struggled on something complex/gnarly for an hour on and off with CC, then 5 Pro goes off for 10 minutes and comes back with code that works out of the box. I had CC read the 5 Pro version and it wrote up 2 paragraphs admiring it (very wholesome). If you're not giving it your hardest problems you're probably missing out.

[Mostols @Mostols1998]

@GestoFoot cual es el juego de municipios de Galicia al que juegas? URL please.

[Mostols @Mostols1998]

@pallachapelano @MCeleste1923 @RCCelta Puedo preguntar desde cuando es socio la criatura....por ver opciones de que llegue a mi peque

[Simon Willison @simonw]

This is very exciting! The one thing I really missed from the CaMeL paper was example code implementing the pattern, now here it is

[Tenías Que Haber Tirado @TQHTPodcast]

🚨 ¡𝐍𝐔𝐄𝐕𝐎 𝐏𝐑𝐎𝐃𝐔𝐂𝐓𝐎!

🇪🇺 𝗕𝗨𝗙𝗔𝗡𝗗𝗔 𝗘𝗨𝗥𝗢𝗖𝗘𝗟𝗧𝗔 𝟮𝟬𝟮𝟱 - 𝟮𝟬𝟮𝟲.

✅ 𝗗𝗜𝗦𝗣𝗢𝗡𝗜𝗕𝗟𝗘 ya en 𝗣𝗥𝗘𝗩𝗘𝗡𝗧𝗔 en la web.

👇🏻 𝗖𝗢𝗠𝗣𝗥𝗔𝗟𝗔 𝗔𝗤𝗨𝗜́:

https://t.co/Sy2sSeNdiS

[xundecidability @xundecidability]

Never spend 6 minutes doing something by hand when you can spend 6 hours failing to automate it - Zhuowei Zhang

[Mostols @Mostols1998]

@gradaderio @RCCelta Esos números no funcionaban en mi cabeza...de 81 solamente en 23 para el celta....nop...son 23/27 combinaciones en las que se va a europa...15 europa y 8 conference.

[Armando Álvarez @armandoac74]

Que a nadie se le ocurra lamentar la fiesta. La única fiesta que se debe reprochar es la que no se celebra. Cada instante de felicidad es un tesoro irrepetible. ¿Cómo voy a lamentar habérmelo pasado de maravilla con mi familia? https://t.co/3sFduTvThU a través de @Farodevigo

[Mostols @Mostols1998]

@MCeleste1923 300 entradas visitantes parece pocas entradas....el Getafe no tiene a la venta butacas para el partido aunque sea en otras gradas? No veo forma de adquirirlas.

[Andrej Karpathy @karpathy]

This is interesting as a first large diffusion-based LLM.

Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different - it doesn't go left to right, but all at once. You start with noise and gradually denoise into a token stream.

Most of the image / video generation AI tools actually work this way and use Diffusion, not Autoregression. It's only text (and sometimes audio!) that have resisted. So it's been a bit of a mystery to me and many others why, for some reason, text prefers Autoregression, but images/videos prefer Diffusion. This turns out to be a fairly deep rabbit hole that has to do with the distribution of information and noise and our own perception of them, in these domains. If you look close enough, a lot of interesting connections emerge between the two as well.

All that to say that this model has the potential to be different, and possibly showcase new, unique psychology, or new strengths and weaknesses. I encourage people to try it out!

[Mostols @Mostols1998]

@TQHTPodcast Nenos, y si os moveis a CeoAzul....estar aquí es complicado por principios, pero no querría tener que dejar la actualidad celeste @morrazzo @TopoBalaidos @CeltaNoticias10 @MCeleste1923 @Oscarmg24 @GestoFoot