@AlexArchambault On ne dit pas « Privacy chevillée au corps » mais « données personnelles à zéro dans le compte de résultat ».
Quand il y a du revenu en face (*cough* App Store *cough* LAT dans les grosses apps *cough*) Apple devient subitement comme toutes les autres boîtes.
@PJanuel@Gireg22 La seule « politique » qu’ils ont vraiment faite, c’est celle qui consiste à augmenter la pression sur les institutions, qui seront explicitement ou non au menu l’an prochain. Que le RN le fasse c’est entendu, mais les autres…
@OrinKerr I’m not sure this was the function the NYT’s section performed. I would argue they’re here so you don’t have to experience the real thing and yet stay current (with a v high social status value per word read).
@FabriceRivet@malopedia Faut pas se mettre les éléments de langage directement dans les veines hein.
Le CC dit que le problème relevé par la commission c’est pas la date d’ouverture du compte, mais le fait qu’il a enjambé son mandataire. (interdit parce que sinon ça permet de tripatouiller a posteriori)
Today we’re announcing Mechanize, a startup focused on developing virtual work environments, benchmarks, and training data that will enable the full automation of the economy.
We will achieve this by creating simulated environments and evaluations that capture the full scope of what people do at their jobs. This includes using a computer, completing long-horizon tasks that lack clear criteria for success, coordinating with others, and reprioritizing in the face of obstacles and interruptions.
We’re betting that the lion’s share of value from AI will come from automating ordinary labor tasks rather than from “geniuses in a data center”. Currently, AI models have serious shortcomings that render most of this enormous value out of reach. They are unreliable, lack robust long-context capabilities, struggle with agency and multimodality, and can’t execute long-term plans without going off the rails.
To overcome these limitations, Mechanize will produce the data and evals necessary for comprehensively automating work. Our digital environments will act as practical simulations of real-world work scenarios, enabling agents to learn useful abilities through RL.
The market potential here is absurdly large: workers in the US are paid around $18 trillion per year in aggregate. For the entire world, the number is over three times greater, around $60 trillion per year.
The explosive economic growth likely to result from completely automating labor could generate vast abundance, much higher standards of living, and new goods and services that we can’t even imagine today. Our vision is to realize this potential as soon as possible.
Matthew Barnett, Tamay Besiroglu, Ege Erdil
Mechanize is backed by investments from Nat Friedman and Daniel Gross, Patrick Collison, Dwarkesh Patel, Jeff Dean, Sholto Douglas, and Marcus Abramovitch.
@sarah_scialom Si ça vous met dans cet état d’entendre un politique dire « otage » comme ça, vous risquez l’hospitalisation au moindre conflit social à la RATP ou la SNCF...
@sebastianjroche@ehouardvial Je me demandais pourquoi la liberté d’association plongeait, et il semble que le label soit incomplet et la lie avec la liberté de réunion (et de manifestation)?
@justinkarlin@mattyp Nah, MCPs are a way to keep the unclear-if-legal but desirable functionalities (that "summarize this YT video" example?) at arms length.
Plus there’s the longtailey stuff where they can’t be bothered to add them as features.
I vote "here to stay".
@patio11 Point taken on contrition’s implication.
To be clear, my own point was more related to tone than content, but I accept your refusal to engage with that.
@ehouardvial Le statut dépasse le diplôme. Le dépassement quasi systématique en SHS des 3 ans me semble plutôt un exemple (toxique) de la question du statut et des pairs? Du milieu qui participe à sa propre paupérisation?
(Sans que ça infirme le reste de ce que tu dis)