🎟️ SORTEAMOS 10 ENTRADAS DOBLES para las Jornadas de Inversión 3.0 de @pizarradeandres
📅 23 de mayo · Gran Teatro Auditorio, Parque de Atracciones de Madrid
Para participar (del 18 al 19 de mayo):
✅ Haz RT a este tweet
✅ Síguenos (@myinvestores)
✅ Menciona a un amigo en los comentarios
El 20 de mayo contactaremos a los ganadores y enviaremos las entradas el 21. Si hay suplentes, les escribimos el 21 y reciben las entradas el 22. ¡Mucha suerte! 🍀
BBLL: https://t.co/poXmndCCgz
Andrej Karpathy says computing may shift from classical software to neural systems
Instead of code running everything, neural nets could take raw video, audio, and context, then generate interfaces and actions in real time
"the CPU becomes the coprocessor, handling fixed tasks while neural nets run the show"
USA has ChatGPT
USA has Grok
USA has Claude
USA has Gemini
USA has Copilot
China has DeepSeek
China has Qwen
China has GLM
China has Kimi
China has MiniMax
What is the rest of the world even doing??
“It’s called the Rasengan. They say my Rasengan is the best one they’ve ever seen. I concentrate my chakra perfectly. Nobody concentrates chakra like me. Look at this perfect spiral. You know most Presidents only have one chakra nature, I have all five.”
NEWS: SpaceX’s board has approved Elon Musk’s new compensation package
- 200 million super-voting shares if they hit a $7.5 trillion valuation and establish a permanent Mars colony with at least 1 million people
- Another ~60 million shares if they operate data centers in space delivering 100 terawatts of compute (that’s the equivalent of 100,000 nuclear reactors)
https://t.co/l7ip8WsMkR
RESEARCHERS JUST BUILT AN AI MODEL TRAINED ONLY ON TEXT FROM BEFORE 1931
it's called talkie. 13 billion parameters, trained exclusively on text published before december 31, 1930
its worldview is completely frozen in time
the reason this matters: every major AI model today (GPT, claude, gemini, llama) was trained on the modern web.
that makes it almost impossible to tell if these models actually reason or if they just memorized the answers from their training data
talkie breaks that completely because it has never seen any modern information
the crazy part:
talkie can learn to write python code from just a few examples you show it in the prompt. despite having ZERO modern code in its training data.
it's figuring out programming from 19th century mathematics texts. that's ACTUAL reasoning
claude sonnet 4.6 was used as the judge in talkie's reinforcement learning pipeline. claude opus 4.6 generated the synthetic conversations used in fine tuning. a modern AI was used to train a model that's supposed to be frozen in 1930
the team already flagged this as a contamination risk they want to eliminate in future versions
what they're using it to study:
> long range forecasting. how well can a model "predict" the future from a frozen vantage point
> invention. can it develop ideas that didn't exist until after its knowledge cutoff
> LLM identity. what makes a model itself vs what's just patterns absorbed from the web
alec radford built this. the same guy behind GPT, CLIP, and whisper
both models are open source on hugging face.
they're already planning a GPT-3 scale vintage model later this year
an AI that has never seen the modern world can still reason its way to writing code.
THAT alone tells you more about intelligence than any benchmark ever will
FNATIC 🇬🇧 won the first ever EU LCS Championship 13 years ago today!
🇫🇷 sOAZ
🇫🇮 Cyanide
🇪🇸 xPeke
🇫🇷 YellOwStaR
🇩🇪 nRated
They took a 3-2 victory over the legendary Gambit Gaming 🇷🇺 in the grand finals
You're in a Research Scientist interview at OpenAI.
The interviewer asks:
"How would you expand the context length of an LLM from 2K to 128K tokens?"
You: "I will fine-tune the model on longer docs with 128K context."
Interview over.
Here's what you missed:
Javier Santaolalla: “La Tierra es redonda y se puede explicar de mil formas”
Mister Tartaria: “Las estrellas NO existen”
Jordi Wild: “Nacho traeme otro whisky”
Tiparraco hasta arriba de fentanilo: