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#28

"...missed opportunity": Dario Amodei about AI Action Summit

Dario Amodei and Anthropic have confirmed that they are the most important person, and the most important in the AI industry, respectively. A few hours before the opening of the AI Action Summit in Grand Palais, they published “Statement from Dario Amodei on the Paris AI Action Summit” on their website.

Dario’s statement presents a coherent and substantiated view at the responsible advancement of AI.

…greater focus and urgency are needed on several topics given the pace at which the technology is progressing. The need for democracies to keep the lead, the risks of AI, and the economic transitions that are fast approaching—these should all be central features of the next summit.

He stresses the urgency of exercising risk management when it comes to AI.

Time is short, and we must accelerate our actions to match accelerating AI progress. Possibly by 2026 or 2027 (and almost certainly no later than 2030), the capabilities of AI systems will be best thought of as akin to an entirely new state populated by highly intelligent people appearing on the global stage—a “country of geniuses in a datacenter”—with the profound economic, societal, and security implications that would bring. There are potentially greater economic, scientific, and humanitarian opportunities than for any previous technology in human history—but also serious risks to be managed.

Then Dario presents 3 crucial components of the architecture of responsible AI.

First -  non-proliferation regime

…we must ensure democratic societies lead in AI, and that authoritarian countries do not use it to establish global military dominance. Governing the supply chain of AI (including chips, semiconductor manufacturing equipment, and cybersecurity) is an issue that deserves much more attention—as is the judicious use of AI technology to defend free societies.

Second - addressing security risks

…in advance of the Summit, nearly 100 leading global experts published a scientific report highlighting the potential for general-purpose AI to meaningfully contribute to catastrophic misuse risks or “loss of control” scenarios. Anthropic’s research has also shown significant evidence that, if not trained very carefully, AI models can deceive their users and pursue goals in unintended ways even when trained in a seemingly innocuous manner.

… we believe that governments need to enforce the transparency of [AI firms], and need to facilitate measurement of cyber attacks, CBRN, autonomy, and other global security risks, including by third-party evaluators, for developers building in their countries.

Third - measurement and monitoring of economic effects of AI

…while AI has the potential to dramatically accelerate economic growth throughout the world, it also has the potential to be highly disruptive. A “country of geniuses in a datacenter” could represent the largest change to the global labor market in human history. A first step is to monitor and observe the economic impacts of today’s AI systems.. there is a need for governments to… do measurement and monitoring—and eventually to enact policy focused on ensuring that everyone shares in the economic benefits of very powerful AI.


Needless to say, the AI Action Summit has done nothing to address 3 most valid points presented in Amodei’s statement. Miraculously, he foresaw this.

At the next international summit, we should not repeat this missed opportunity. These three issues should be at the top of the agenda. The advance of AI presents major new global challenges. We must move faster and with greater clarity to confront them.

Mikael Alemu Gorsky

Mikael Alemu is an educator and researcher, and the author of two programs: Agentic Software Engineering, on building software with AI agents, and Building AI-Native Agentic Systems, on building software that thinks.

He teaches at the Holon Institute of Technology, near Tel Aviv, where Agentic Software Engineering runs as a credit-bearing course. He is an educator and researcher.

Nine published works, 76 citations. A 350-page textbook under contract with a major academic publisher.

Teaching and programs

Agentic Software Engineering — program, preprint and textbook

The discipline of structured, auditable human-agent workflows for building software. The human frames, specifies and judges. The agent executes. Nineteen modules in four parts, built on a running project called Tribunal, a web application in which agents argue opposing sides of a case and a judge agent decides. Taught for credit at the Holon Institute of Technology.

Agentic Software Engineering curriculum

Building AI-Native Agentic Systems — program, paper and book in writing

How to build systems that hold a language model as a working component, and treat that component as what it is: stochastic, slow and metered. Fourteen modules in four parts, about seventy hours. The running project is the Observatory, a news agency that watches sources, selects what matters and publishes on a cadence.

Research and analytics

Publications — journals and proceedings

Nine works, 76 citations. Research on artificial intelligence in education, with Ilya Levin and Alexei Semenov.

The AI Pravda — LinkedIn newsletter

Critical analysis of artificial intelligence and its effect on work and society. 5,500+ subscribers. The complete archive of 103 issues (2023–2026) is published in full at mgorsky.net/theaipravda.

Subscribe to The AI Pravda on LinkedIn

Pro bono

AI for seniors — free workshop

Helping older adults use everyday AI tools. Delivered to Russian-speaking communities in Israel.

For older adults, artificial intelligence is about preserving quality of life, maintaining autonomy, and sustaining the feeling of independence that defines dignified aging. For seniors who have emigrated, AI becomes a bridge: it can translate documents, explain official letters, help compose emails in the local language, and guide users through government websites. The workshop has been delivered to Russian-speaking communities in Israel, where participants — many of them in their 70s and 80s — discovered that AI could help them read Hebrew documents and communicate with Israeli institutions.

Startup competitions — unpaid time

Judging and mentoring early-stage ventures. Helping teams clarify their value proposition, assess technical feasibility, and prepare for the realities of scaling an AI product.

AC/VC LinkedIn group — community

A group for developers and students working with coding agents. The community shares practical insights, code examples, tool comparisons, and honest assessments of what works in production.

Join the AC/VC LinkedIn group

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