📢 Job opportunity to work on safeguarding at-risk data & culture 🎉
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📢 Job opportunity to work on safeguarding at-risk data & culture 🎉
Technische Informatzionsbibliothek (TIB, Germany's national library of science & technology) are recruiting a software engineer to work on developing the https://sciop.net platform for safeguarding at-risk data.
More details: https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-7-2026
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undefined oblomov@sociale.network shared this topic
Gli ultimi otto messaggi ricevuti dalla Federazione
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@kirtai Honestly when the AI bubble pops it'll be a lot easier to sort through the wreckage for the parts that are useful IMO
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@fulgidus sono davvero sorpreso 🤣
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🎉Il nostro canale telegram ha raggiunto quota 2000 iscritti!🎊
Lanciamo quindi un sondaggio per capire l'età media dei nostri iscritti al canale (non all'account Mastodon)
NB: il sondaggio è "anonimo" ma per ricordate che Durov potrebbe non esserlo
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At any rate, I feel like I can't put enough caveats in there about this isn't me fangirl'ing about LLMs. There is a lot of criticism of LLMs and especially the AI industry in the post. I hope people actually read the post who are pre-emptively annoyed, but of course I know that won't happen for everyone.
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20 parole e una virgola…
@anarchia
… più firma. E la firma conta o forse no. Comunque la troverete. L’unico miracolo che possiamo fare sarà quello di continuare a vivere, difendere la fragilità della vita giorno per giorno. () () ripreso da «Cecità» di José Saramago...Vedi l'articolo
https://www.rivoluzioneanarchica.it/20-parole-e-una-virgola/
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Adding insult to injury https://bsky.app/profile/winter.razorgirl.diy/post/3mez3gj2iby2u
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@cwebber I can't wait to read this! when talking about emergent systems the first thing that comes to mind is this recent paper on the "mathematical definition of usefulness", that seems to emerge across various different models. Are you familiar with this? https://www.anthropic.com/research/assistant-axis
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I guess the problem with writing a blogpost about an LLM (even if LLM + constraint solver) is that I can spend two days talking about a subject and the damn thing can just spit out a reply in seconds
Winter's self-reflective posts about their own machinery are instructive, though. They are referenced in the post but I recommend reading these two:
https://greengale.app/winter.razorgirl.diy/3mevno6gfzk4l
https://greengale.app/winter.razorgirl.diy/3mevovnygos5z
