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.
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A report by the American Psychological Association notes that a growing number of patients are using AI chatbots to complement, or even partially replace, conventional therapeutic care.
A Forbes article questions the significance of the productivity gains enabled by AI in the workplace, and urges us not to let efficiency alone determine the kind of working life we wish to build.
Two researchers are calling for precautionary safeguards regarding AI, rather than waiting for scientific certainty about its consciousness – which may never come.
A ranking of promising AI startups, established according to their valuation, fundraising and growth trajectory.
Researcher Sebastian Raschka compiles and comments on the most important publications on major language models published between January and May 2026.
For Nate Berkopec, language models are not on their way to general intelligence: they are useful where the result is verifiable, tooled, repeated — and placed in a loop.
An explosion of the volume produced does not mechanically translate into an equivalent real impact: the dehumidification test the points where the value is lost.
Derek Thompson argues that the substantive disagreement over AI is not about its current capabilities, but about whether or not it falls within the adoption patterns of past technologies.
A U.S. Census Bureau working paper observes AI on three scales — business, function, task — and finds a focus on a few functions.
An overview of the issues that will dominate the AI governance debate this year, from algorithmic bias to growing recognition of the right not to deploy a system.
In the face of alarmist forecasts, the World Economic Forum recalls that wages are increasing in occupations exposed to AI requiring experience, and advocates for continuing training.
Contractor Matt Shumer states that the acceleration of AI's capabilities is making a wave of white collar job losses imminent, triggering intense controversy.
In an essay of 20,000 words, Anthropic's patron warns that humanity is about to hold almost unimaginable power, and that it must be prepared collectively.
University advocacy to put ethical issues at the heart of the design of AI systems, rather than treating them as a last minute addition.
A CTO points to the surprising gap between the massive adoption of AI programming assistants and measured productivity gains, which on average remain limited to 10%.
The essayist compares the current investment in AI to the 19th-century railways: a real financial bubble, followed by an infrastructure that will transform the economy sustainably.
A methodical comparison of five advanced reasoning models, tested on concrete scenarios by an open-source LLM jury rather than on the usual academic benchmarks.