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#errors

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DOGE’s credibility is shot.
robertreich.substack.com/p/thi

"DOGE has saved the govt just $2 billion. That comes to 1/35 of 1% of the federal budget.

Repeated #errors have raised questions about the quality & veracity of the #information Musk’s #DOGE is putting out. The mistakes also call into question the team members’ competence — whether they understand the #government well enough to cut it while avoiding catastrophe."

#ElonMusk#Musk#Coup

Bruce Schneier perfectly articulates something I’ve been thinking about:

AI Mistakes Are Very Different from Human Mistakes
schneier.com/blog/archives/202

This is exactly right, certainly for LLMs.

"It seems ridiculous when chatbots tell you to eat rocks or add glue to pizza. But it’s not the frequency or severity of AI systems’ mistakes that differentiates them from human mistakes. It’s their weirdness. AI systems do not make mistakes in the same ways that humans do.”

Required reading.

Schneier on Security · AI Mistakes Are Very Different from Human Mistakes - Schneier on SecurityHumans make mistakes all the time. All of us do, every day, in tasks both new and routine. Some of our mistakes are minor and some are catastrophic. Mistakes can break trust with our friends, lose the confidence of our bosses, and sometimes be the difference between life and death. Over the millennia, we have created security systems to deal with the sorts of mistakes humans commonly make. These days, casinos rotate their dealers regularly, because they make mistakes if they do the same task for too long. Hospital personnel write on limbs before surgery so that doctors operate on the correct body part, and they count surgical instruments to make sure none were left inside the body. From copyediting to double-entry bookkeeping to appellate courts, we humans have gotten really good at correcting human mistakes...

A while a go I started working on a modal semantics for defining errors in distributed computing via types. The results have now appeared in a chapter for a volume dedicated to one my PhD mentors and teacher Göran Sundholm. The actual formalism is a bit far away from the tons of things I learned from him, but it touches on the issues of correctness and errors in proofs part of his philosophical research.

#proofs #computing #errors #correctness

link.springer.com/chapter/10.1

@philosophy

SpringerLinkHandling Mobility Failures by Modal TypesCorrectness is a major concern for logical systems, especially for its significance in computational settings. While establishing a norm for the correctness of computational procedures is a standard requirement, defining errors is a less investigated formal problem....
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5/

Subtle tradeoff "whether avoidance increases for more difficult instances, as would be appropriate for the corresponding lower level of correctness"

Alas, the
"percentage of avoidant answers rarely rises quicker than the percentage of incorrect ones":
"an involution in #reliability: there is no difficulty range for which #errors are improbable, either because the questions are so easy that the model never fails or because they are so difficult that the model always avoids giving an answer"

@laurenshof Hoi Laurens. We zagen een vervelend probleem met parsen van de JSON van jouw blog AP nodeinfo API: browser.pub/https://fediverser

Zoals je ziet in de JSON output returneert deze API activeMonth & activeHalfyear als een string ("2") in plaats van een integer (2). Welke Wordpress plugin gebruik je? Dan meld ik dit probleem upstream.

browser.pubhttps://infosec.exchange/users/USBTypeSteve · BrowserPub · A browser for exploring ActivityPub and the fediverseExplore the open social web through the lens of ActivityPub and the fediverse.