1/4 Today, we’re releasing Mercury 3. Mercury 3 is by far our most powerful model and the most intelligent diffusion LLM ever released. It outperforms GPT-6 Luna and Haiku 5.5 on quality while running at 1000+ tok/sec.
Excited to share that Mercury 2 is one of @TIME's Best Inventions of 2026.
Not long ago, diffusion LLMs were just a research idea. Now Mercury powers products people use every day.
Proud of the @_inception_ai team. Something bigger coming next week 👇🧵
Can wind wakes be described by a simple linear convolution?
Presenting *EndoWake*, aka Wind Modelling by Linear Programming; joint work with @MartiFischetti
1. Theory and MILP model:
https://t.co/n5SXn4SUCh
2. Application on GPUs:
https://t.co/pcgDJm3DDU
For all FP-riends #orms:
Feasibility Pump + objective cutoff as a black box: what does it lose? On MIPLIB 2017 inside SCIP, a simple recovery beats SCIP's pump on 116 of 176 instances, loses on 9 (post hoc).
Code and data: https://t.co/ONulOLUe3w
paper: https://t.co/CQPvOnic1E
Over the past few days, I've taken the time to summarize my thoughts on the recent incidents involving agents’ misaligned behavior. We don't know with certainty what comes next, but we know where these issues originate, and this can help us plan the path forward.
Please feel free to ask your questions in the replies, and I’ll try to answer some of them in the coming weeks.
https://t.co/bvncjT0y0h
This could be the most significant problem we are called to address together, by contributing in whatever way each of us can, while upholding integrity and ethics as hard, non-negotiable constraints.
Full declaration and how to endorse it: https://t.co/24lpDck14w
🏅 Las Medallas SEIO 2025 reconocen a Antonio Cuevas González y a Dolores Romero Morales por sus destacadas trayectorias y contribuciones a la Estadística y la Investigación Operativa. Hoy, ambos medallistas ofrecerán sus conferencias en la #SEIO2026.
¡Enhorabuena! 👏
I found it helpful to have Claude/chatGPT use colored markdown in the chat to highlight positive, negative, and neutral outcomes.
Legenda: ✅ buono · ❌ negativo · ⚠️ da verificare o numero fragile · 🔵 in corso
Very excited that we are bringing cheaper / free Claude to more scientists!
If you are using Claude for scientific research, I'd love to hear your feedback, what works well and what doesn't - accelerating science is the main reason I care about AI!
🗣️We have invited Giovanni Di Liberto (@diliberg), from @tcddublin to speak us about investigating auditory #cognition with natural speech and music.
We are eager to learn more about his work!
Discover more about it here👇
https://t.co/q52OcNLD8D
I sat down with @JonHernandezIA in Madrid to discuss the growing risks and impacts of AI and the urgent need to improve our social, political, and technical safeguards.
Thanks for an excellent conversation!