@Zanehisako@eliebakouch You're equating fast commercial scaling with innovation and adaptation.
Europe produced CERN, the Web, Linux, Python, BLOOM, Hugging Face and much of modern open science infrastructure.
Commercial dominance is not the same thing as technological or scientific leadership.
Security is a shared responsibility. The Julia ecosystem is advancing its security foundations with community-driven advisories, integrations with industry-standard tools, and a renewed focus on trust and visibility. This effort helps ensure Julia remains production-ready, secure, and trusted across research and enterprise use. https://t.co/eobqL0b97u
#JuliaLang #JuliaCommunity #OpenSourceSecurity #SoftwareSecurity #SupplyChainSecurity #DevSecOps
Thinking about using small multimodal models? Want a clearer understanding of what breaks when downscaling model size, and why?
✨Introducing our new work on Downscaling Intelligence: Exploring Perception and Reasoning Bottlenecks in Small Multimodal Models
🧵👇
@Adilko91152@Elisabeth_Borne T'as raison, complètement déconnecté, on devrait créer des rencontres jeunesse ou un Conseil National dédié à la jeunesse... ah mais attend c'est pas ce qu'ils ont fait ? le permis à 17 ans, le mentorat, des dispositifs sur mesure... complètement abandonnés oui 🤪
@DSPyOSS 's optimizers are amazingly useful and powerful but it can feel a bit daunting to get started. @CShorten30's knack of explaining things with such clarity bridges that gap perfectly. Do check it out
Dans ma nouvelle note sur le site de FIPECO j'examine le plan de redressement des comptes publics pour 2026 présenté par F. Bayrou : https://t.co/9DooHJ6c3i
@rohanpaul_ai What a shame they restricted it to "sex" instead of survival tactics and strategies. Sexual selection is actually a subset of survival strategy when viewed through the lens of life history theory and social intelligence research. That would have strengthened their theory.
@MichaelAArouet This is not comparable, you've to take "after redistribution" to have a small idea of real numbers. French state is taking a lot but redistributing a lot too, through charges exonerations, subsidies for employment... It remains high when you count everything but not at this point
AI efficiency is important. Today, Google is sharing a technical paper detailing our comprehensive methodology for measuring the environmental impact of Gemini inference. We estimate that the median Gemini Apps text prompt uses 0.24 watt-hours of energy (equivalent to watching an average TV for ~nine seconds), and consumes 0.26 milliliters of water (about five drops) — figures that are substantially lower than many public estimates.
At the same time, our AI systems are becoming more efficient through research innovations and software and hardware efficiency improvements. From May 2024 to May 2025, the energy footprint of the median Gemini Apps text prompt dropped by 33x, and the total carbon footprint dropped by 44x, through a combination of model efficiency improvements, machine utilization improvements and additional clean energy procurement, all while delivering higher quality responses.
See the blog or technical paper for more about our methodology and ongoing efforts.
Blog:
https://t.co/CoMm5gV9SR
Link to detailed paper: https://t.co/UBi9rd6gEC
@AnthropicAI Claude code is constantly failing with SoC, it add getter/setter everywhere even with Demeter law in its contraints and explicit asking for visitor pattern, it cheats and use getters. It reveals issues in scopes awareness too. A huge axis for improvements imho.