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Follow up to Anthropic destroyed millions of print books to build its AI model and Copyrighted books to train AI? Fair. Storing them? See also The Atlantic – no paywall – Can AI companies keep stealing books to train their models? What Two Judicial Rulings Mean for the Future of Generative AI – “Should tech …
Micah Lee: “Things are heating up. Millions of people are taking to the streets against Trump’s rising authoritarianism. Communities around the US are organizing to defend against ICE raids, to protest Israeli genocide, for mutual aid, and for other forms of fighting fascism. Signal can help people safely organize in all of these contexts. Signal …
404 Media: “…Despite the fact that generative AI has been a destructive force against their businesses, their industry, and the truth more broadly, media executives still see AI as a business opportunity and a shiny object that they can tell investors and their staffs that they are very bullish on. They have to say this, …
Improving Climate Modeling – “Researchers from the University of Chicago and ETH Zurich have created a global dataset of extreme weather events to support better storm detection and climate modeling. The dataset includes over 49,000 examples of events such as intense rain bands, powerful cyclones, and persistent atmospheric blocks that can trigger floods, heatwaves, and …
Wired – no paywall: “A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built. The new model, called FlexOlmo, could challenge the current industry paradigm of big artificial intelligence companies slurping …
“Welcome to the Real-Time Crime Index – The RTCI is a sample of reported crime data from hundreds of law enforcement agencies nationwide which mimics national crime trends with as little lag and the most accuracy possible. Crime statistics are inexact, but sampling agencies in this way is a proven method for accurately measuring trends …
“ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence. Earlier this week in Geneva, around 50 leading global initiatives and organisations dedicated to open-source LLMs …
Wired no paywall: “First Google and Facebook, then the world. Under Trump 2.0, US statecraft is starting to mimic the worst tendencies of Big Tech….Back in 2022, Cory Doctorow coined the term “enshittification” to describe a cycle that has played out again and again in the online economy. Entrepreneurs start off making high-minded promises to …
My Modern Met: “The BigPicture Natural World Photography Competition may have announced its 2025 winners, but the fun isn’t over. All July, the public can select from 20 standout images and place their votes for the People’s Choice Award. From incredible insects to fascinating marine life, the strength of the nominees shows the high level …
Inside the funhouse mirror factory: How social media distorts perceptions of norms. Claire E. Robertson, Kareena S. del Rosario, Jay J. Van Bavel. Elsevier Current Opinion in Psychology Volume 60, December 2024, 101918. “The current paper explains how modern technology interacts with human psychology to create a funhouse mirror version of social norms. We argue …
Federal News Network: “Hundreds of federal agency websites are being targeted for elimination, following a governmentwide review. In an analysis led by the General Services Administration, the 24 largest departments and agencies inventoried more than 7,200 total websites. Documents obtained by Federal News Network show agencies plan to eliminate 332 of those websites — less …
Sally McLaren post on LinkedIn: “Can you trust AI in legal research? Our study tested how leading Generative AI tools responded to fake case citations and the results were eye-opening. While some models correctly flagged the fabricated case, others confidently generated detailed but entirely false legal content, even referencing real statutes and cases. Our table …
