https://crookedtimber.org/2025/02/02/there-is-an-exit/ There is an exit.
| Website | https://henryfarrell.net/wp/ |
| ORCID | https://orcid.org/0000-0003-0611-3949 |
Henry Farrell
@henryfarrell
- 3K Followers
- 331 Following
- 1.3K Posts
Chris J. Karr@henryfarrell lays out a compelling metaphor where Google AI is the 2020s' equivalent to Olestra.
https://www.programmablemutter.com/p/google-ai-fails-the-taste-test
Peter WilliamsGood point from @henryfarrell : AI summarizations make bad search results *feel* much more as if they're Google's fault, even if the underlying way in which they're obtained is not vastly different than before.
https://www.programmablemutter.com/p/google-ai-fails-the-taste-test
Lawrence WilkinsonAccountancy as a lens on the hidden systems of the world: "Today's hackers wear green eyeshades, not mirrorshades" @henryfarrell on @doctorow, @pluralistic and the realities of power
(Plus- Mae West, sentenced)
Pondering power: https://roughlydaily.com/2024/04/19/never-call-an-accountant-a-credit-to-his-profession-a-good-accountant-is-a-debit-to-his-profession/
(Plus- Mae West, sentenced)
Pondering power: https://roughlydaily.com/2024/04/19/never-call-an-accountant-a-credit-to-his-profession-a-good-accountant-is-a-debit-to-his-profession/
On the road, but just to say that any generosity attributed to me is utterly outclassed by the generosity of Nate's reply https://mastodon.social/deck/@natemati[email protected]/112225693174874844
J. Nathan Matias 🦣A few weeks ago, I wrote about a paper on online toxicity by @henryfarrell & Cosma Shalizi. Henry had the wonderful generosity to respond and point out where I misunderstood the article.
In this post, I respond with clarifications on the idea of toxicity and the use of models.
I also reflect on the value of having a thoughtful, considered disagreement in public online — something that seems to have largely disappeared from my circles.
https://natematias.medium.com/disagreements-fast-and-slow-d0bc49ac9c3f
Jeffrey VagleGreat piece from @henryfarrell
"if you understand that AIs (or more precisely LLMs) rely on human generated knowledge, you begin to notice the actual struggles for power that are partly obscured by the rhetoric."
https://www.programmablemutter.com/p/the-political-economy-of-ai
"If our model is right, we would likely be in much the same situation .... even if platform companies had never discovered machine learning. People would still be driven by their own wants to discover and create the kinds of shared rationalization that dominate online political debate today" https://www.programmablemutter.com/p/zombies-rabbit-holes-and-platform
https://www.vice.com/en/article/mbyg3x/the-most-damaging-election-disinformation-campaign-came-from-donald-trump-not-russia The Vice news made me go back to read this article that Bruce Schneier and I wrote back in 2018. And look at what we predicted then: "By weakening public confidence in the vote today, [Trump] makes it easier to claim fraud and perhaps plunge American politics into chaos if he is defeated in 2020." To be clear - I've made many predictions that ... have not panned out ... and I wish this had been one of them.
Kai ArzheimerThis, by @henryfarrell , is very illuminating #battleofthesexes
