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On 2026-01-26, Molly O’Shea highlighted a recent on-stage exchange in which…

2026-01-26 · 17:03 UTC ·MollySOShea ·2 min read

Brief

Molly O’Shea’s post centers on a striking point of agreement between two of the most influential AI lab leaders: Dario Amodei and Demis Hassabis both publicly identified recursive AI improvement—AI systems building better AI systems—as the pivotal risk to watch. In the quoted panel, Amodei frames that feedback loop as the variable that could compress timelines dramatically, turning a multi-year horizon into an immediate global emergency. Hassabis concurs, while adding that other research fronts such as world models and continual learning may still be necessary if self-improvement alone is insufficient; he also ties those advances to a possible robotics breakout. Both the moderator’s prompt and Hassabis’s reply make clear that slower progress would be preferable because it would give institutions more time to adapt.

The linked Amodei essay expands that concern into a broader strategic thesis. He describes "powerful AI" as a "country of geniuses in a datacenter": superhuman systems operating autonomously, at scale, and at 10–100x human speed, potentially within 1–2 years and plausibly by around 2027. He points to smooth scaling-law progress, METR’s estimate that Opus 4.5 can handle roughly four hours of human work at 50% reliability, and Anthropic’s own use of AI for coding as evidence that self-reinforcing acceleration is already underway. His policy stance is explicitly pragmatic rather than apocalyptic: avoid doomer rhetoric, acknowledge uncertainty, and pursue narrow interventions like chip export controls and transparency requirements while gathering stronger evidence about the most serious risks.

Why it matters

On 2026-01-26, Molly O’Shea highlighted a recent on-stage exchange in which Anthropic CEO Dario Amodei and Google DeepMind CEO Demis Hassabis agreed that the key near-term risk is "AI systems building AI systems," with Amodei warning that this could determine whether advanced AI is still "a few more years" away or whether the world faces "wonders and a great emergency."

Key details

  • Hassabis said DeepMind is "keeping close touch" on recursive self-improvement and argued that if self-improvement alone does not drive progress, additional breakthroughs such as world models and continual learning may be required; he also said robotics could then have a "breakout moment."
  • When moderator Zanny Minton Beddoes suggested the world should hope progress takes longer to buy more preparation time, Hassabis explicitly agreed: "I would prefer that. I think that will be better for the world."
  • The quoted Amodei essay, "The Adolescence of Technology," defines "powerful AI" as systems smarter than Nobel-level humans across fields, able to act autonomously for hours to weeks, use multimodal computer interfaces, control tools and labs remotely, and run in millions of copies at roughly 10–100x human speed by around 2027.
  • Amodei claims powerful AI could arrive in 1–2 years, citing METR’s assessment that Opus 4.5 can perform about 4 hours of human work with 50% reliability, continued scaling-law gains, and the fact that AI is already writing much of Anthropic’s code, creating a feedback loop toward models that autonomously build the next generation.
  • Amodei argues for a non-doomer but urgent response: AI risk in 2025–2026 has become politically unfashionable even as danger is closer than in 2023, and he favors limited, evidence-based interventions such as chip export controls, model cards, and transparency measures over maximalist regulation unless stronger evidence of imminent danger emerges.
Source evidence

title: @MollySOShea: 2 weeks ago @DarioAmodei & [@demishassabis](h...
author: MollySOShea
contenttype: twitterpost
published: 2026-01-26T17:03:45+00:00
source_url: https://x.com/MollySOShea/status/2018074675008663965

word_count: 236

Tweet by @MollySOShea

2 weeks ago @DarioAmodei & @demishassabis agreed on stage that the biggest risk right now is AI systems building AI systems.. well.. that didn't take long Dario: "I think the biggest thing to watch is this issue of AI systems building AI systems. How that goes, whether that goes one way or another, that will determine whether it’s a few more years until we get there, or if we have, you know, wonders and a great emergency in front of us that we have to face. Demis: "I agree on that. So we’re keeping close touch about that. But also, I think outside of that, there are other interesting ideas being researched, like world models, continual learning. These are the things I think will need to be cracked if self-improvement doesn’t sort of deliver the goods on its own. Then we’ll need these other things to work. And then I think things like robotics may have its sort of breakout moment. Zanny: "But maybe, on the basis of what you’ve just said, we should all be hoping that it does take a little bit longer, and indeed everybody else, to give us a little more time." Demis: "I would prefer that. I think that will be better for the world."

Posted: 2026-01-26T17:03:45.000Z
Engagement: 92 likes, 12 retweets, 11 replies

Quoting @DarioAmodei

The Adolescence of Technology: an essay on the risks posed by powerful AI to national security, economies and democracy—and how we can defend against them: https://darioamodei.com/essay/the-adolescence-of-technology…