Who's who in AIAI glossary
Dario Amodei
The co-founder and chief executive of Anthropic, the company behind Claude. A former head of research at OpenAI, he left in 2021 with his sister Daniela and several colleagues to found a laboratory that puts AI safety at the centre of its work.
In other words
A biophysicist by training, in his essay "Machines of Loving Grace" he describes an AI capable of accelerating progress in biology and medicine by several decades.
Alyriaz articles that mention it
- Trump renames AI "superintelligence"
A decree renames AI "superintelligence" in the United States, and industry bosses sign a voluntary commitment, with no penalties attached.
- Claude Opus 5.5: flagship-level performance for 60% less
Anthropic has released Claude Opus 5.5, claimed to be on a par with Fable 5.1 at a far lower cost. We analyse the figures, the comparison with GPT-6 Astra, and the tension with the call for a slowdown.
- The debate over the slowdown erupts in public
Dario Amodei's call to slow down triggered responses from the heads of Microsoft, OpenAI and xAI within four days, a legislative proposal and political reactions. We analyse this shift of the debate into the public sphere.
- Anthropic vs the Pentagon: the trial redefining what an AI has the right to refuse
Anthropic refused to let Claude be used for fully autonomous weapons or mass surveillance. The Pentagon responded by designating it as a risk to the national supply chain, a classification previously reserved for foreign adversaries. Emails recently unsealed by the courts shed light on what this conflict really reveals.
- When AI bosses write to Congress to warn about their own creation
On 4 June 2026, the leaders of OpenAI, Anthropic, Google DeepMind and Microsoft AI co-signed a letter to the US Congress. Their warning: AI now outperforms PhD-level virologists, eroding the knowledge barriers that once made biological weapons inaccessible. We break down this rare call and what it implies.
- 1 year, 5 years, 10 years, 30 years: what current research tells us about the future of AI
You cannot read the future. But you can build credible scenarios from current research and the predictions of credible experts. Here is what researchers genuinely expect for 2027, 2031, 2036 and 2056. No hype, no doom-mongering: just the hypotheses that hold up against the facts of 2026.