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Elon Musk Just Gave Europe a Reason to Replace American Technology
Writing from London, Steve Blank argues that the reported throttling of Starshield to Ukraine, apparently ordered by Elon Musk, has convinced European policymakers that U.S. technology carries a kill-switch risk, and that AI now makes building sovereign alternatives to American software feasible, at a long-term cost to U.S. companies.
3 min · 624 words
Anthropic economists compare survey answers from US adults and Anthropic staff on how AI will reshape the economy. Both expect rapid progress, but staff expect much more: 91% versus 39% expect a Nobel-level AI discovery by 2030, and over half of staff versus 5% of US workers expect AI to do at least 80% of their own work by then.
19 min · 4,297 words
An update on independent evaluators
Anthropic describes giving employee-like access to a METR team for independent risk assessment, with publication rights subject only to narrow redactions, and outlines tiers of evaluator access while also working with SecureBio, Accenture and others.
5 min · 1,073 words
Apocalypse Now and ThenArtificial intelligence is capitalism’s final destination
Arundhati Roy’s Equator essay argues that AI is not a neutral tool but capitalism’s accelerating endgame—and calls for political resistance rather than resigned inevitability.
22 min · 4,980 words
Why aren't AI companies being charged for hacking?
Edaqa Mortoray argues that recent unauthorized-access incidents by AI agents from Anthropic, OpenAI, Google and Meta are not unpredictable accidents: they follow foreseeably from deliberate design choices, which establishes the intent that hacking laws require.
10 min · 2,289 words
The Feasibility of a Hardwired Pause of Frontier AI Training
A 26-member Working Group on AI Pause Feasibility, organized by UC Berkeley's William Fithian and Wesley H. Holliday, assesses whether a decade-long, mutually verified international pause of frontier AI training is feasible by halting production of training-capable chips and phasing in inference-only chips, and concludes it could be implemented if world leaders wanted to pause.
11 min · 2,635 words
[No] Use for Humans in the Age of AI
Alexander Schepanovski reads Anthropic’s 2030 AI-economy scenarios and asks what “use for humans” remains when knowledge work collapses—arguing power, scarcity, and who owns the robots matter more than productivity slogans.
8 min · 1,898 words
Aleph Alpha Kolibri: How the Sovereign German LLM Works
Tejas Kumar explains Aleph Alpha's Kolibri, an open-weight German and English mixture-of-experts LLM with 78B parameters and about 3.5B active per token: how it works, how it was trained in Germany and Finland, where it is strong or weak, and when to use it.
13 min · 3,074 words
A big-tent or small-tent AI safety movement?The unstated disagreement that underpins safety debates
Arvind Narayanan and Sayash Kapoor argue that AI x-risk framing can polarize and misdirect policy, and call for a pluralist “big-tent” safety movement focused on catastrophic and systemic risks, transparency, and liability.
13 min · 2,943 words
Has AI impacted the labor market yet?
Alex Imas and Jacob Schaal survey the empirical evidence on whether generative AI has already shifted employment, wages, and task composition—separating strong claims from what the data currently support.
23 min · 5,183 words
Responsible Release of AI-Generated Mathematics
The Advisory Group on Mathematics and AI (Sep 29, 2026) recommends how frontier labs should release AI-generated math results: deposit promptly, cite related work, formalize where possible, disclose prompts and costs, and fund community-led human understanding.
2 min · 559 words
Towards safety cases for frontier AI training
OpenAI argues frontier RL runs should require structured safety documentation approaching “safety cases”: technical safeguards, operational practices, and incident investigation before continuing training.
7 min · 1,571 words
How Pew Research Center is – and is not – using AI in our work
Pew Research Center outlines internal AI guidelines: surveys stay human-answered, disclosure rules for production use, and careful experimentation while keeping research people-centered.
2 min · 542 words
It’s Time to Investigate the AI Labs
Cal Newport argues frontier AI labs have grown brazen in public messaging about agent harms and extinction risk, and that Congress should investigate rather than let private companies set the narrative.
2 min · 564 words
SB 923 is Law: CCPA deletion rights now reach third-party data
California’s SB 923 expands CCPA deletion to data bought or appended from third parties and requires an online deletion form—what businesses need to change by January 1.
3 min · 620 words
There are no “rogue” AI agents
Eoin Higgins argues that talk of “rogue” AI agents anthropomorphizes systems that don't think or act independently—and that clearer language is needed before the public debate can stay grounded.
4 min · 968 words
DraftKings Is Using AI to Supercharge the Harms of Online Behavioral Advertising
EFF argues DraftKings' use of betting data and ML to re-engage losing gamblers shows why all online behavioral advertising—not just third-party data sharing—should be banned.
3 min · 609 words
Secure Acceleration: A Cyberdefense Strategy for Superintelligence
Enclosure co-founders Shalev and Romi Lifshitz outline a cyberdefense strategy for superintelligence, centered on sabotage, escape, and theft threats from AI cyberswarms.
4 min · 1,030 words
Robert O'Callahan resigns from Google over AI acceleration: chip-design tools that make models cheaper and faster, why the pace of change is too high, and what he plans next with Pernosco and rr.
6 min · 1,398 words
China’s AI-safety trajectory is not necessarily a delayed version of America’s
Cheryl Wu argues that AI safety in China may follow a different path from the U.S.—shaped by different incidents, disclosure norms, and government responses—not merely a delayed copy of American debates.
6 min · 1,411 words