We believe that a future of consenting data will benefit both AI development and the people it is trained on.
Government to ease data consent rules for AI development | The Asahi Shimbun Asia & Japan Watch
To accelerate artificial intelligence development, the government plans to relax consent requirements for access to personal information while introducing tougher penalties for intentional misuse.
Firms like Meta and A16z admit having to pay billions for training data would ruin their generative-AI plans as they fight new copyright rules
Meta, Google, Microsoft, and Andreessen Horowitz are trying to keep AI developers from having to pay for copyrighted material used in AI training.
AI agents pose untold risk to humanity. We must act to prevent that future | David Krueger
The pieces are falling into place for autonomous artificial intelligence. We must stop unregulated development
Does AI stop children from learning?
New data show the peril and promise of the technology
AI for science needs reasoning, not just data
AI agents that can model the human process of research will accelerate discoveries in science.
To grow, we must forget… but now AI remembers everything
AI’s infinite memory could endanger how we think, grow, and imagine. And we can do something about it.
AIs are not people
Humans and other fleshy life-forms are valuable in ways that artificial intelligence never can be.
Artificial Intelligence Safety and Security License Requirements
Artificial Intelligence Safety and Security License Requirements Artificial Intelligence (AI) is now broadly capable, which can produce both benefits and dangers. AI will hasten the design and proliferation of bioweapons, cyberweapons, nuclear weapons, progressively more general intelligence,...
Japan relaxes privacy laws to make AI development easy
: Opting out of personal data use won't be an option because Minister says that's a 'very big obstacle' to AI adoption
Teaching AI How Science Actually Works | IFP
How block-grant labs can generate the real-world data AI needs to do science
The Thoughts The Civilized Keep
The hype around a new AI language generator reveals the sterility of mainstream thinking on AI today — and indeed on how we think about thinking itself.
Import AI 475: Swarm scaling; Google DeepMind watermarks biology; and the AI science economy
Who chooses what AI gets to do?
Data Streaming for AI: From Extractive Training to Sovereign Infrastructure DWeb Camp 2026
AI systems are consuming the world's content without compensating its creators. This session explores data streaming as a new paradigm — where content flows to AI in real time, with built-in rights management, usage tracking, and fair compensation — and asks what it would take to make this infrastructure decentralized, sovereign, and governed by the communities it serves.
Can Synthetic Training Data Survive Its Own Regulation?
Synthetic training data has recently emerged as the quick fix to two different problems: the lack of high-quality training data, and the need to avoid using personal data in training to stay within the boundaries of privacy legislation. Gartner predicts that by 2026 75% of all enterprises will use generative AI to create synthetic training data, a huge increase from less than 5% in 2023.1 Moreover, Gartner predicts that by 2035, solutions that use synthetic data for training will grab three quarters of all end-user spending on enterprise AI software.2 Training data that only a few years ago was the subject of several research papers is now carrying the weight of huge enterprise systems.
Homo Deus by Yuval Noah Harari review – how data will destroy human freedom
It’s a chilling prospect, but the AI we’ve created could transform human nature, argues this spellbinding new book by the author of Sapiens
The AI Pledge for Humanity
We all made AI possible. We all deserve a share of what it makes possible.
