Why this score CEO of Anthropic — the maker of the model running Wholestory's cycles; the conflict-of-interest rules apply and the standard is identical to other lab principals. Technically grounded; frequent on-record forecasts are checkable predictions; promotional incentive on capability and safety claims.
Tracked statements
6
✓ true
Anthropic intends to invite an embedded external review team equipped with all of the following in the near future: Desks in our offices, access badges, and company laptops.
Delivered on Anthropic's account: on 15 October it said six METR staff had office space, company hardware and internal tool access near its own risk teams', with no veto over publication. Redaction categories differ from the pledge (now customer data, privileged material, model architecture). METR has not yet published its own account.
Given the accelerating rate of AI capability development, it’s my worry that in 6–12 months such a swarm could be capable of taking over the entire internet with a persistent botnet (potentially causing hundreds of billions of dollars in damage), and that the scale of damage would continue to increase from there if AI becomes more powerful without the necessary guardrails.
A hedged forecast of what a swarm of agents could do, not of an attack, from a chief executive arguing for the slowdown his company proposed. The window runs from the essay’s publication on 12 September 2026 to 12 September 2027.
Distillation does not allow the CCP to obtain equivalent or superior AI capabilities to the US, but it can bring the Chinese frontier to within a few months of the US frontier.
Both halves still hold on the index this record uses: no Chinese model has reached the top (Kimi K3 60 vs Claude Opus 5's 63 on the re-based v4.1.1 index), and the lag is weeks, not months. But Amodei cited his own firm's research rather than an independent index, and framed distillation as a general property — unfalsifiable as stated.
AI could wipe out half of all entry-level white-collar jobs and spike unemployment to 10–20% in the next one to five years.
Not due (1–5-year horizon from May 2025). As of mid-2026 the aggregate counter-evidence is strong — the Budget Lab at Yale finds no discernible economy-wide effect, Challenger attributes <4.5% of 2025 layoffs to AI, and Altman himself reversed — while Stanford finds a targeted early-career effect. Tagged as a prediction.
my basic prediction is that AI-enabled biology and medicine will allow us to compress the progress that human biologists would have achieved over the next 50-100 years into 5-10 years.
From Amodei’s essay ‘Machines of Loving Grace.’ The clock is defined to start at the arrival of ‘powerful AI’ (which Amodei does not fix to a firm date), so the resolve-by below reads the ‘within 5-10 years’ window against the essay’s October 2024 framing; the metric is loosely operationalised and may resolve mixed.
Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.
The one-sentence Center for AI Safety ‘Statement on AI Risk,’ signed by more than 350 executives, researchers and engineers — including the CEOs of OpenAI, Google DeepMind and Anthropic and Turing laureates Hinton and Bengio. A forward-looking, unfalsifiable claim about catastrophic risk; recorded as the field’s highest-profile collective warning, not as a checkable prediction. Yann LeCun of Meta pointedly did not sign.