New training paradigm: instead of just predicting tokens, models reason about each prediction using RL The model thinks through context, considers alternatives, then makes a prediction. 14B model matches 32B baseline, though training costs are significantly higher.
LLMS
-
Role-Based Prompts for Gemini Efficiency
By
–
If you're building with Gemini and not using role-based prompts like these… You’re missing the point. LLMs need clear jobs. Not just questions.
-
O3 Cost Improvement Announced with O3-Pro Launch
By
–
massive cost improvement on o3 — and o3-pro coming later today!
-
o3-pro confirmed as most powerful available AI model
By
–
Confirmado o3-pro hoy. Debería situarse como el modelo más potente disponible actualmente.
-
Next Generation GPTs: Hybrid Models Beyond Autoregressive Approaches
By
–
it is increasingly likely that the next generation of GPTs will not be vanilla autoregressive models, nor text diffusion, but some third hybrid thing if you believe this, read subham's research. this paper makes one step in that direction (making diffusion work with kv cache)
-
Does AI Really Reason? Apple Research Paper Analysis
By
–
¡NUEVO VÍDEO en el LAB! El paper de la semana sin duda proviene de la compañía de la manzana, y es que su última investigación ha causado mucho ruido. ¿Las IAs NO razonan? ¿Es todo una ilusión? Hoy os explico de qué trata este paper y por qué a mi no me ha gustado
-
o3 Price Drop Now Available in Cursor IDE
By
–
The o3 price drop is now reflected in Cursor! o3 is a fantastic model, and we're excited that it can now be used as a daily driver.
-
Mistral’s New Reasoning Model Opens Innovation Opportunities
By
–
this new reasoning model from Mistral looks cool
— dr. jack morris (@jxmnop) 10 juin 2025
it's especially exciting that because no one knows the best way to do RL, there is a lot of room for smaller players to innovate. this wasn't really the case when we spent a few years just making models bigger. https://t.co/Qa5yd5PdZVthis new reasoning model from Mistral looks cool it's especially exciting that because no one knows the best way to do RL, there is a lot of room for smaller players to innovate. this wasn't really the case when we spent a few years just making models bigger.
-
Ask ChatGPT for a product review with pros and cons
By
–
3- Ecrire un avis sur ce produit
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 10 juin 2025
Accédez à ChatGPT et demandez-lui de rédiger un avis sur ce produit, en soulignant les aspects positifs et négatifs.
Il vous donnera un point de vue sur le produit, en vous faisant gagner du temps et en vous évitant d'avoir à rédiger des textes pic.twitter.com/0mhGGc39NU3- Write a review of this product Go to ChatGPT and ask it to write a review of this product, highlighting the positive and negative aspects. It will give you a perspective on the product, saving you time and sparing you from having to write texts.