for instance, regarding the gradually forming AI usage practices/habits, and seeing this piece in the news, I think we could only benefit from touching base with unions of various kinds. See if we have something to offer that they are interested in (teaching, models, ways of criticizing AI), what direction they would like us to go into, what they would like us to investigate and reasearch, and what to argue for or substantiate with scholarly findings and experiences.

https://infosec.exchange/@Cyberoutsider/116141377375695709.

And in the end, it is also us - at least with our RSE hats on, but maybe it even holds for the organisation of academic research as a whole - and our working conditions, tasks and pressures, who are talked about and disposed of in these developments who may be urged to become "reverse centaurs"...

#deRSE #DHd2026 #ReverseCentaur

@tompearce49

I'd like to believe all the hype from the #AiAntagonists but to me they all sound like soldiers in a besieged city, cheering the news of the relief columns that never comes.

The article is supremely optimistic, which is fair enough, optimism is needed with one of the key avatars of the #AntiAi movement being sprung using AI himself. The #reversecentaur #asbestosinthewalls guy himself @pluralistic

#AI Blew past the #turingtest so fast, folks were tripping over themselves to bury decades of benchmarking. The previous AI attempts never breached Turing.

Meanwhile, #HLE is climbing up faster than expected, which is the exact opposite of what folks who claim AI is not advancing is.

It seems that the models are capable of Zero-shot learning, reaching accurate results for knowledge not in the training data.

The answer as always is to become politically active and #regulateAI

#AiResearch

@emilymbender @tante

Ahaha Mr. "AI is asbestos in the walls" has become "#reversecentaur" himself...

What a hypocrite!

@JoeStewart Oh man, this a strikes me as the crux of what we deal with in the tech industry, but on a stage with far more immediate and dire consequences.

"Go fast, but not so fast that the quality of your work drops." strikes me as the ultimate in bossware-driven crap...a #ReverseCentaur from automation theory that @doctorow cites so often in his work, but with an interesting twist on embedded bias. The fact that these LLMs have a black-box aspect to them puts the onus on the user of the automation to make almost instant decisions on whether the output is trustworthy or not. That's the problem with "non-deterministic automations" like LLMs: they're non-deterministic.