Francesco Faccio

Senior Research Scientist @GoogleDeepMind Discovery Team. Previously PhD with @SchmidhuberAI. Working on Reinforcement Learning.

[Francesco Faccio @FaccioAI]

Two of our #ICML papers were selected for an oral presentation (Top 1.5%)!

1. Learning Useful Representations of Recurrent Neural Network Weight Matrices (https://t.co/9TDlyrrNc4)
2. GPTSwarm: Language Agents as Optimizable Graphs (https://t.co/GYf5eTwNbt)

[Inherent @inherent_labs]

We’re excited to introduce Inherent, a lab designed from scratch to build AI agents that discover new knowledge.

The coming era of machine-driven scientific inquiry demands a new kind of research institution and a new kind of AI.

To achieve our mission, we live within the experiment, recursively self-improving the entire research organisation. We investigate questions including:

- What does ‘AI taste’ look like in the sciences, and how can we build an institution that embraces this new aesthetic of discovery?
- What new kinds of human-machine teaming will make the most of AI that can truly innovate?
- How can we build recursive self-improvement at the collective level that continually increases human agency over outcomes?

We have just closed a $50m seed round led by @IndexVentures and @radicalvcfund, with participation from other outstanding investors including NVentures (@nvidia's venture capital arm), @buildexante, Metaplanet, Macroscopic, @MythosVentures, Charlie Songhurst, @chalfs, @jluan, @dwarkesh_sp, @Thom_Wolf, @j_foerst and @maxjaderberg. We are advised by @matthewclifford.

Inherent is a Public Benefit Corporation headquartered in London.

[Francesco Faccio @FaccioAI]

@inherent_labs Congratulations! I’m looking forward to seeing you succeed

[Francesco Faccio @FaccioAI]

Unofficial application form: https://t.co/xDhvPO2ixF

Google careers page: https://t.co/Oar2LZqada

For a sense of the work we do (and love!), check out our previous project: https://t.co/Scy4n0hMpt.

[Francesco Faccio @FaccioAI]

📣 Hiring Alert: @GoogleDeepMind Student Researcher - 2026

@Xidong_Feng and I are hiring a PhD Student Researcher to join the GDM Discovery team in London 🇬🇧 to investigate Artificial Curiosity and Intrinsic Motivation algorithms in general discovery 🔭

Apply below! 👇🏻:

[Francesco Faccio @FaccioAI]

@chrmanning @iclr_conf We initially requested a much bigger room for the workshop. Unfortunately, we got assigned a quite small one and changing room was not possible

[Francesco Faccio @FaccioAI]

I'm in Singapore for #ICLR2025! DM me if you’d like to meet and chat about Creativity and Curiosity in AI, AGI, Agents, or exciting opportunities at @GoogleDeepMind.

You might even get a free Italian coffee ☕️ :)

[Francesco Faccio @FaccioAI]

If you are working on World Models, you should definitely submit your paper to our #ICLR2025 workshop!

[Mengyue Yang @Mengyue_Yang_]

🚨 4 Days Left! 🚨

Our ICLR 2025 Workshop: "World Models: Understanding, Modelling, and Scaling" is calling for submissions! 📢

📅 Submission Deadline: February 10, 2025 (AoE)
🔗 https://t.co/1bqAe2Rz1S

The workshop covers the widest range of topics on world models, including world understanding, modelling, and scaling with cutting-edge generative AI.

Join us to explore model-based RL, causality, diffusion models, robotics, video generation, embodied AI and more with amazing keynote speakers & panelists!

Don’t miss out—submit your paper now! 🚀

#ICLR2025 #WorldModels #AI #ReinforcementLearning #Causality #GenerativeAI

[Francesco Faccio @FaccioAI]

Some of the last year's amazing speakers: @AdilSlm @fengcmai @umangsbhatt @ShangtongZhang @AlhusseinFawzi @he_sihong @hadisalmanX @jd92wang @JonathonLuiten @raazdwivedi @JunXia_Westlake @sivil_taram @hermanhwdong @Mengyue_Yang_ @JaneYuBear @atasteoff @materzynska @BohanWang1 @FHKPetersen @weisshelter

[Francesco Faccio @FaccioAI]

Are you a rising star in AI? 🌟

Join us as a speaker for the 4th edition of the KAUST Rising Stars in AI Symposium. In the past 2 years co-organizing this event, I've met incredible researchers now in top industrial and academic positions worldwide.

More info:
📅 Event date: April 7-10, 2025
⏳ Application deadline: December 18
🔗 Apply here: https://t.co/SLh0EVKHrV

[Francesco Faccio @FaccioAI]

I'm thrilled to announce that I'm joining the Discovery team at @GoogleDeepMind in London as a Senior Research Scientist starting this January! It's incredible what the team has achieved in the past decade and I am so looking forward towards more scientific discoveries with AI.

[Francesco Faccio @FaccioAI]

If you are interested in using AI for scientific discovery, this project might be perfect for you!

[Jürgen Schmidhuber @SchmidhuberAI]

I am hiring 3 postdocs at #KAUST to develop an Artificial Scientist for discovering novel chemical materials for carbon capture. Join this project with @FaccioAI at the intersection of RL and Material Science. Learn more and apply: https://t.co/ePZrnacBhO

[Francesco Faccio @FaccioAI]

I had an amazing time in Riyadh meeting with many industrial partners and presenting our recent advancements!

#GlobalAISummit #GainSummit

[KAUST @KAUST_News]

#KAUST’s experts are joining the @globalaisummit 2024 in Riyadh. ​
Discover how we're driving #AI innovation for a sustainable future and contributing to #SaudiVision2030.

#GlobalAISummit #GainSummit

[Francesco Faccio @FaccioAI]

Had a great time presenting at #ICML2024 alongside @idivinci & @LouisKirschAI. But the true highlight was @SchmidhuberAI himself capturing our moments on camera! #AI #DeepLearning

[Francesco Faccio @FaccioAI]

🚀 Overdue launch of my personal website https://t.co/nbabLb3GHp! Check out my latest AI projects.
I would like to thank my ancestors for giving me a last name that means "I make" in Italian. So, yes, I make #AI 🤖

[Francesco Faccio @FaccioAI]

Our paper, "Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning," was accepted at #EWRL.

Congratulations to Yuhui Wang and the team!

Paper: https://t.co/iv5RhM1RnK

#AI #DeepLearning #RL

[Francesco Faccio @FaccioAI]

Heading to #ICML2024 for a busy week with 3 posters and 2 oral presentations.

If you’re interested in discussing collaborations, visiting, or hiring opportunities at @AI_KAUST with @SchmidhuberAI, feel free to connect!

[Francesco Faccio @FaccioAI]

🚀Want to cut inference times by up to 50% and save money when using Transformer/CNN/Consistency-based diffusion models?

Check out our latest work on Faster Diffusion Through Temporal Attention Decomposition led by @HaoZhe65347, featuring @SchmidhuberAI.

Paper: https://t.co/gykt4KziTX
Code: https://t.co/0kgmA3iMLs

#AI #DeepLearning #DiffusionModel

[Francesco Faccio @FaccioAI]

@harvie_zhang @SchmidhuberAI @oneDylanAshley Hi! We connect hidden layers to the final loss only when the layer index exceeds the number of planning steps. Note that there are works from the 90s, if not earlier, that connect all hidden layers to the final loss in RNNs (e.g., character-level predictions for language tasks)

[Francesco Faccio @FaccioAI]

Can neural networks with 5000 layers improve long-term planning? 🤖

Check out our latest research with @SchmidhuberAI, @oneDylanAshley, and team: https://t.co/iv5RhM1RnK

#AI #DeepLearning #RL