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Arthur Holland Michel

@writearthur.bsky.social

Friendly reminders about spooky technologies. Bylines in The Economist, The Atlantic, Wired, MIT Technology Review, etc. Author of 'Eyes in the Sky' Research on AI and its discontents. https://www.arthurhollandmichel.com/

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Arthur Holland Michel@writearthur.bsky.social · 2mo ago

I'm struggling to see the value-add for the Vatican of doing this. Having discussions with tech leaders is one thing. Bringing them onstage is another. Maybe the Vatican thinks it shows that it has buy-in from a key mover. But many observers will read this as corporate capture.

Rich Raho@richraho.bsky.social · 2mo ago

Pope Leo: “I want to thank Mr. Olah,” co-founder of Anthropic AI accept his invitation to walk together, to listen and to speak, and together to find a path for humanity in this time of artificial intelligence.”

Arthur Holland Michel@writearthur.bsky.social · 3mo ago

If the market can’t punish companies for crappy products that nobody asked for—eg. sunglasses that spy on you, browsers that talk to you (and spy on you), AI companions that tell you to kill yourself (and spy on you) etc—then it’s not a market. It’s a prison.

Mor Naaman@informor.bsky.social · 3mo ago

In other AI news, prompt injections are here to stay based on this new paper from Abdelnabi and Bagdasarian. "an adversary can always construct a context under which a blocked flow appears legitimate, or a defender who tightens norms will block genuinely legitimate flows." arxiv.org/abs/2605.17634

AI Agents May Always Fall for Prompt Injections

Prompt injection is the most critical vulnerability in deployed AI agents. Despite recent progress, we show that the prevailing defense paradigm (data-instruction separation) both fails to detect atta...

arxiv.org

Arthur Holland Michel@writearthur.bsky.social · 3mo ago

It's good to see more people challenging the metaphor of the AI race. I wrote a report about this for @chathamhouse.org in 2023, and I think a lot of the findings still hold water today. www.chathamhouse.org/2023/04/reca...

Recalibrating assumptions on AI

Towards an evidence-based and inclusive AI policy discourse

chathamhouse.org

Lawfare@lawfaremedia.org · 3mo ago

The "AI race" with China is Washington's excuse to deregulate and skip safety. But AI knowledge spreads fast, racing accelerates rivals, and there's no finish line. From @arbel.bsky.social and @mtokson.bsky.social www.lawfaremedia.org/article/the-...

Arthur Holland Michel@writearthur.bsky.social · 3mo ago

Friendly reminder that there are a ton of people out there writing good, informative, interesting books and articles without a jot of AI assistance. They won’t get any recognition for it whatsoever. The fact that they have to compete for bylines with people who secretly use AI is dumb and sad.

Arthur Holland Michel@writearthur.bsky.social · 3mo ago

Look I know peer reviewers are super busy and they often don't get paid, but if you're not checking the citations then what you are doing is not peer review.

Philip N Cohen@philipncohen.com · 3mo ago

Two new facts stand out: 1. 85% of hallucinated citations in preprints are also in the subsequent journal version (thanks, peer review!) 2. Fake cites more likely to use the names of (male) scholars who are already highly cited, creating a fake-citation Matthew effect. arxiv.org/abs/2605.07723

Arthur Holland Michel@writearthur.bsky.social · 3mo ago

I just had a long conversation with a senior SEO exec and I don't think we're ready for the absolute shit-storm that's in store for us once companies go all in on optimizing webpages for agents. If you thought the web was unpleasant now, buckle up.

Arthur Holland Michel@writearthur.bsky.social · 3mo ago

Except for the reference to ChatGPT, every single word in this story—from insisting that a breakthrough is imminent, to the glossy portrayal of a world where robots make coffee and stock supermarket shelves, and the buried lede on ethical questions—could have been written a decade ago.

NPR@npr.org · 3mo ago

Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own — but experts say it raises questions about how much risk comes with letting robots be in charge of their own learning. n.pr/4e2OlgF