AM-IA brings together news, research papers and applications relating to artificial intelligence published around the world into a single feed — and makes them available in your European language at the click of a button.
Scroll to browse · Click to filter
In a long essay, the two authors compare cutting-edge models to locomotives: quickly trivialized. Sustainable fortunes would go to those who control distribution, payments and the digital dollar.
Of 427 stories written by 333 participants, 100% AI channels are more creative but more uniform. Conferring planning to a human keeps creativity and restores diversity.
Out of 11,123 participants in an art turing test, each one's favourite image has 22 points more likely to be judged human, including among those most hostile to art IA.
The analysis of 6,150 predictive markets created by users on their own future shows persistent collective optimism, which only the individual concerned ends up correcting.
A study by Carnegie Mellon mapped the ownership of 9,761 digital media in 77 countries and measured the effect of seven AI systems on information concentration.
The BBC starts a fight around Navier-Stokes to draw up an inventory of risks: submerged reviews, revisions written by models, 147,000 references invented in one year.
On more than 5 million pages, the .gov and .edu sites and the most central web pages remain significantly less affected than the .com pages in the periphery.
In an Anthropic study, 50 analysts conducted a statistical analysis with a stacked or face-to-face agent. They have adopted his choices, taken back his arguments, and have rarely seen them.
Based on the initial data from Wave 8 of the World Values Survey, two researchers show that AI membership is based on a common foundation, but is constructed differently according to social profiles.
Two researchers model through game theory the dilemma of young researchers, between understanding in depth or inflating their CV with AI, and that of recruiters who must choose what to evaluate.
Anthropic, Microsoft, Google or Meta increase exchanges with religious leaders. Researchers fear a flattened universal morality, built on Western traditions.
The Adrian Dredge trial, commissioned by the Association of British Science Writers, shows how biased police data feed into a loop where the algorithm confirms where we've already looked.
After a week of serial critical flaws, the author of Stratechery believes that hosting his own site becomes unreasonable, and sees the future in small group software.
Based on historian Joyce Appleby, the essayist compares the fear of an excess of intelligence with the mercantilist vision of a rare wealth, to be captured and controlled.
Faced with Nilay Patel, Microsoft's co-founder believes that competition between laboratories makes self-regulation impossible and that only public authorities can impose safeguards.
AI makes the production of plausible items cheaper than their evaluation. Hence the proposal to capitalize on the audits that researchers are already doing by reading, citing or reproducing.
In Foreign Affairs, historian Niall Ferguson, former CEO of Google Eric Schmidt and researcher Lisa Klaassen compare China-American rivalry on AI with empire history.
Arnaud Bertrand shows that Chinese thought, which does not place intelligence at the heart of what it means to be human, takes a different approach to AI: the danger lies not so much in machines that resemble us as in humans becoming machines.
For Peter K. G. Williams, AI finally provides the tools to privatize shared knowledge, as enclosures did of communal fields between 1600 and 1800.
The European Code of Practice requires an assessment of the risk of loss of control. An analysis of the empirical literature concludes that the evidence remains fragile, without ruling out the danger.