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Joined 1 year ago
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Cake day: June 14th, 2023

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  • Ton article parle d’autre chose. Il parle de l’année 2023 par rapport à l’année 2022. La on compare le premier semestre 2024 au premier semestre 2023.

    J’ai répondu par rapport au secteur de l’industrie dans un autre commentaire, pour ce secteur là ça semble être une bonne chose. Pour les autres secteurs en forte baisse, je n’ai pas fait d’analyse, mais il n’y a pas de raison que cette baisse soit liée à des choses négatives. Par exemple une grosse partie des réductions sont dues à un hiver clément.

    Le seul point noir, c’est les transports. On sait très bien comment réduire les émissions, vu que la demande est élastique par rapport au prix. Mais plus personne n’osera mettre en place une taxe CO2 (merci les gilets jaunes). Le RN promet même de retirer les taxes sur l’essence (quitte même à ne pas respecter les règles de l’UE), histoire qu’on soit encore plus dépendant des dictatures.






  • Akisamb@programming.devtoFrance@jlai.luJérôme Peyrat
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    13 days ago

    Depuis janvier 2021, il est conseiller politique auprès de la délégation générale de La République en marche. Jérôme Peyrat est condamné en 2020 pour violences conjugales sur son ancienne compagne, ce qui le conduit à renoncer à sa candidature aux élections législatives de 2022.

    Il finit par se représenter aux élections législatives anticipées de 2024 malgré les polémiques que sa candidature lève

    Le petit filou, il a attendu qu’on l’oublie. Je ne comprends pas pourquoi les partis politiques tiennent autant à garder ces éléments.



  • Separately, Jong has also alleged that Apple subjected her to a hostile work environment after a senior member of her team, Blaine Weilert, sexually harassed her. After she complained, Apple investigated and Weilert reportedly admitted to touching her “in a sexually suggestive manner without her consent,” the complaint said. Apple then disciplined Weilert but ultimately would not allow Jong to escape the hostile work environment, requiring that she work with Weilert on different projects. Apple later promoted Weilert.

    As a result of Weilert’s promotion, the complaint said that Apple placed Weilert in a desk “sitting adjacent” to Jong’s in Apple’s offices. Following a request to move her desk, a manager allegedly “questioned” Jong’s “willingness to perform her job and collaborate” with Weilert, advising that she be “professional, respectful, and collaborative,” rather than honoring her request for a non-hostile workplace.












  • I’m afraid that would not be sufficient.

    These instructions are a small part of what makes a model answer like it does. Much more important is the training data. If you want to make a racist model, training it on racist text is sufficient.

    Great care is put in the training data of these models by AI companies, to ensure that their biases are socially acceptable. If you train an LLM on the internet without care, a user will easily be able to prompt them into saying racist text.

    Gab is forced to use this prompt because they’re unable to train a model, but as other comments show it’s pretty weak way to force a bias.

    The ideal solution for transparency would be public sharing of the training data.




  • It’s absolutely amazing, but it is also literally and technologically impossible for that to spontaneously coelesce into reason/logic/sentience.

    This is not true. If you train these models on game of Othello, they’ll keep a state of the world internally and use that to predict the next move played (1). To execute addition and multiplication they are executing an algorithm on which they were not explicitly trained (although the gpt family is surprisingly bad at it, due to a badly designed tokenizer).

    These models are still pretty bad at most reasoning tasks. But training on predicting the next word is a perfectly valid strategy, after all the best way to predict what comes after the “=” in 1432 + 212 = is to do the addition.