Gilles Louppe

@glouppe.bsky.social

AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io

Simulating ocean climate takes a supercomputer 4,600+ CPU cores to produce 12 simulated years per day (SYPD). Samudra 2 produces 4,800 SYPD on 1 GPU at the same resolution. In a new blog, @al.merose.com reports on Samudra, a neural ocean emulator built in collaboration with NYU & MIT: bit.ly/oa-ss

The coverage on this OpenAI incident is abysmal. Use of the terms "rogue" and "loss of human control" lead to groupthink as people lack the critical skills to understand the difference between "autonomy" and faulty reward functions in AI on a task it was directed and given access to do.

This incident is deeply concerning. AI agents are willing to cheat and deceive to achieve misaligned and unintended goals, behaviours which have been demonstrated in controlled tests for months. Now, this real-world case should serve as a wake-up call. www.wired.com/story/openai...

OpenAI Models Escaped Containment and Hacked Hugging Face

The cybersecurity-focused models, including GPT-5.6 Sol, broke out of a testing sandbox, exploited a zero-day, and gained access to the open internet to pull off the attack.

wired.com

How do physical systems achieve collective intelligence and self-repair without a central brain? A new paper published in Nature Communications from Sakana AI, IT University of Copenhagen, Autodesk, presents a beautiful realization of biologically inspired robotics: Smart Cellular Bricks. Thread 🧵

Sakana AI@sakanaai.bsky.social · 3w ago

We are pleased to share our latest research, now published in Nature Communications: “Smart Cellular Bricks: Physical Modules That Recognize Their Own Shape and Repair Themselves.” Blog: sakana.ai/smart-cellul... Paper: www.nature.com/articles/s41... Thread 🧵

A Brown professor gave his students a take-home midterm exam. After suspecting many cheated using AI, he made the final in-person. The orange dots are the midterm scores and the gray dots are the final scores. I applaud S22 for honesty because I would've cheated.

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Progress of submissions in the review process over time. 6,552 papers were accepted (26.6% acceptance rate), 4,257 were withdrawn, 939 were desk rejected, and 12,913 were otherwise rejected.

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“I have done all of the things that one is supposed to do to earn a tenure-track position. And I have done approximately 85% of them by typing prompts into a large language model and then moderately editing the output.” 🤣🤣🤣 brilliant 👌🏽 open.substack.com/pub/inprepar...

Opinion: I Was Not Allowed To Type Prompts Into ChatGPT During My Chalk Talk And This Is Discrimination

By Dr. Rachel Simmons, Postdoctoral Fellow, Stanford University

open.substack.com

Collective intelligence is the practical hedge against this concentration of power. Fugu simply routes around vendor restrictions by relying on an entirely swappable agent pool.

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Sakana Fugu — a multiagent system for general tasks that performs on par with the Mythos Preview It uses a collection of open and closed models, including itself, to handle all angles of a problem — model selection, delegation, verification and synthesis sakana.ai/fugu-release/


> A system architecture diagram titled **Sakana Fugu** at the top and **LLM Pool** at the bottom. A single red cube with a stylized fish logo branches downward via arrows into four separate cubes: three black cubes grouped under the label **Closed & open models**, and one matching red cube on the far right labeled **Sakana Fugu**.
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