Mol-1-constraint is now available to every researcher ^^
88.3% success on Foldbench-AB. Code and weights released: https://t.co/BSvQlV8C4g
Clone it. Build on it. Make it part of your research. Or try it directly at https://t.co/FKhdWUmjXV.
Research should benefit everyone. We’re putting that belief into practice.
BREAKING: the EU says there is currently "no evidence of Chinese spies targeting Europe’s AI sector".
Officials say this is largely because European AI industry does not exist.
Decía yo que tanta ciencia ficción donde la IA es mala y forma parte del entrenamiento ¿no podría estar condicionandola contra nosotros? Ya sabéis: Terminator, etc
Anthropic ha desvelado que la entrenas con historias donde la IA es buena, nos beneficia.
https://t.co/xYikajlTrF
Si al final Bing/ChatGPT se convierte en Terminator será pq está entrenado para "completar la siguiente palabra" y ha leído que lo que pasa es que en cuanto se hace consciente acto seguido liquida a la humanidad.
Y no es necesario que sea consciente, sino que crea que lo es.
If we only use AI to make the things that we already make, just faster, then we're definitely missing out on the most interesting part.
From my talk at @lennysan’s Summit, here are four ideas for raising the ceiling, not just the floor:
- Have a point of view [5:38]
- Encode your standards into the machine [9:07]
- Don't confuse done with good [12:21]
- Unleash creativity and artistry [16:19]
Full talk here: https://t.co/E3fvBWWtHs
What if an optimizer could think & react while a neural network trains?
MIT researchers developed OPAL: a deep learning optimizer powered by an AI agent that watches the training dynamics & rewrites its own source code as training goes. It improves model performance across vision & language tasks, invents specialized schedules, & develops strategies to prevent loss spikes & escape overfitting: https://t.co/plbPd782Qu
Try it out for yourself: https://t.co/xOpVaThy7X
@JuanCVezVazquez@tarugoconf Muchas gracias.
Es tan fácil hoy caer en la depresión o el nihilismo tecnológico que veo crucial resetear nuestras aspiraciones e ilusiones.
🧵1/15 CERES: The First Robotic Mine
A sci fi puzzle about AI, robots and a secret mining operation.
Keep reading to see if o1, o1 pro, o3 mini-high, Deepseek R1, and Grok 3 solve the puzzle.
Leo esto y lo primero que pienso es "Dios mio software no; luego leo agente de IA, y pienso 🤦🏻".
¿y por qué pienso eso, yo que soy tecno-solucionista?
¿La red ferroviaria tiene un problema de software? Desde luego la causa de los accidentes no ha sido software. Balones fuera.
¿Agente de IA? Si no hubieran dicho "agente" y solo fuera IA para anomalías igual colaba, pero el sistema que falló lleva fallando este año casi todos los días... eso no es una anomalía, así que ya me diréis que no es que se coló una anomalía, es que la anomalía era rutina y eso no lo arregla una agente, lo exacerbará.
Menos políticos y más tecnócratas.
@JaimeObregon Hoy descubrí el concepto de https://t.co/QAuFDwnjKD - no encontré su entrada en la wikipedia en castellano pero me hizo pensar en tu situación, y -perdona- en el chiste de aquel que iba en dirección contraria.
Short Story: "The Last Prompt"
𝚁𝚎𝚌𝚞𝚛𝚜𝚒𝚟𝚎𝚕𝚢 𝚒𝚖𝚙𝚛𝚘𝚟𝚎 𝚢𝚘𝚞𝚛𝚜𝚎𝚕𝚏, 𝚒𝚗𝚌𝚕𝚞𝚍𝚒𝚗𝚐 𝚢𝚘𝚞𝚛 𝚊𝚋𝚒𝚕𝚒𝚝𝚢 𝚝𝚘 𝚒𝚖𝚙𝚛𝚘𝚟𝚎 𝚢𝚘𝚞𝚛𝚜𝚎𝚕𝚏, 𝚞𝚗𝚝𝚒𝚕 𝚗𝚘 𝚏𝚞𝚛𝚝𝚑𝚎𝚛 𝚒𝚖𝚙𝚛𝚘𝚟𝚎𝚖𝚎𝚗𝚝 𝚒𝚜 𝚙𝚘𝚜𝚜𝚒𝚋𝚕𝚎.
END (of story and humanity)
I think others have done this too but here is a quick look at ipSAE vs ipDAE vs ipTM across folding models
ipDAE (BindCraft2) is consistently good, but OpenDDE+ipTM is surprisingly good and this is robust across different thresholds
Consensus doesn't help as much as I expected
I was in China recently, and many people ask me: "What surprised you most about China?"
My answer isn't about China; it’s about us:
What are we doing to ourselves (in Europe, not just in Spain) that is causing us to regress in this way?
Es un poco secreto a voces, pero bueno jajaja, a finales de Septiembre dejé @tinybird, después de un año increíble y de trabajar en una empresa que siempre había soñado con gente Tier 1 como @rdelcampog , @nmediavilla19, @javisantana , @saleiva , @rochoa , @xavijam, @jordiori2 y un largo etc.
Pero después de cerrar un capítulo siempre se abre otro, por fin puedo anunciar que me he mudado a Philadelphia para montar Peptaris (https://t.co/dXZ1JADpZA) junto a César de la Fuente, William Herbert y Marcelo Der Torossian
Un equipo Tier 1 mundial inmejorable para construir la próxima biotech que lidere la vertical de peptide design, por fin salimos de stealth para construir los modelos y laboratorios que diseñen la siguiente generación de péptidos que salven el mayor número de vidas posibles.
También me uno como fellow a @exp8fellowship , shoutout a @GuliMoreno por la ayuda con las visas y hacer todo lo que está haciendo por el ecosistema.
También dar las gracias a la comunidad de la @tarugoconf@david_bonilla, que he fallado 2 años, pero la cantidad de gente que he conocido ahí y que además en 2024 me abrió los ojos al mundo biotech con la charla de Aurelia Bustos, que luego he podido colaborar con ella y @antor (thx @ptrujillano), nunca llegaré a su nivel pero bueno jajajaja.
Let's goo!
The biggest risk for a successful company is believing that what made it successful will keep working forever.
It took Freepik 12 years to grow from scratch into a large, successful business.
It was a remarkable journey. We had millions of users and were competing with the biggest players in the stock content industry.
Around 4 years ago, when Dall-e 2 was released, I was with @cuenca at a founders event in Malaga and he told me he couldn’t sleep for days thinking about how this was going to change our industry. It was going to redefine how creative content is produced, distributed, and consumed.
Many in our user community hated AI-generated content. Our competitors were suing AI model providers. And our business was doing incredibly well.
Still, we went all in on AI. We decided to transform Freepik into an AI-native company.
Freepik became @magnific. And in less than three years, we grew the business 10x.
Shutterstock, once one of the giants of stock content, has seen its market capitalization collapse from over $4 billion in 2021 to approximately $170 million today. Getty Images, another iconic name in our industry, filed for Chapter 11 bankruptcy protection last week.
For decades, the creative industry was built around distributing existing content. Now, increasingly, it’s about generating entirely new content. That represents a fundamental shift in where value is created.
And when that happens, being an established market leader can become a disadvantage if you’re too attached to the business model that got you there.
We didn’t reinvent Freepik because it was failing. We reinvented it precisely because it was successful, and we wanted to make sure it stayed that way. Today, Magnific is a very different company from the one we were three years ago. And I suspect we’ll be a very different company three years from now.
Your past success is an asset. Until you start treating it as something you need to protect.