Pas forcément d'accord pour les 1,4 milliards pour la Seine. A ma connaissance il n'y a pas eu de mesures d'urgence et temporaires. Toute l'infrastructure va rester en place.
Après c'est vrai que ça coûte 140 euros par habitant d'Ile de France, ce qui n'est pas négligeable. Mais de la a appeler ça un caprice.
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.
Peut-être pour la baisse de 5% des émissions de l'industrie. Mais pas pour les autres secteurs.
C'est aussi possible qu'il n'y ait pas eu de baisse dans l'industrie. Ton article parle de faillite d'entreprises, ce qui ne veut pas dire une cessation d'activité économique, juste que le propriétaire a perdu son argent.
Le premier exemple de ton article, je la connais bien. C'est Ascometal, j'ai suivi la saga avec Marsactu. L'usine continuera de produire après sa reprise avec juste l'arrêt de l'activité du fil. L'entreprise racheteuse va aussi investir pour ajouter un four électrique pour réduire l'impact carbone de l'entreprise.
Ce qu'il faudrait regarder c'est la production industriel, qui est assez stable :
Sauf que les gens qui ne font pas d'études ont une espérance de vie plus faible. C'est normal qu'il puissent prendre leur retraite plus tôt.
C'est ce qui me gênait le plus dans la réforme de Macron. L'augmentation de l'âge minimum pour la retraite touche plus les précaires qu'une augmentation des années de cotisations.
En tant qu'ingénieur, j'ai un travail bien moins pénible qu'un ouvrier, c'est normal que je prenne une retraite plus tardive.
including the Slogan: 'From the river to the sea – Palestine shall be free'
As it should, this phrase and it's Israeli counterpart "between the sea and the Jordan there will be only Israeli sovereignty" are often accompanied by calls for mass deportation at best and genocide at worst.
These sentences are not bad on their own, but the parties from which they originate (Hamas and Likud) have transparent desires for war crimes and genocide.
“They had Polish refugee status certificates for the adults and Polish ID cards for the children. These people were taken to the police station for further investigation,” said von Vegesack. He added that, after their legal situation was confirmed, the family had to be sent back to Poland.
According to the spokesman, German officials informed the Polish border guard about the situation through the Polish-German Centre for Cooperation of Border, Police and Customs Services in Świecko.
“Since there was no reaction from the Polish side for several hours, the officers decided to take the family to the Polish-German border…in order to release them to Poland,” said von Vegesack.
The article above should be more "polish refugees left alone in Poland by German police" rather than the current one which suggests that Germany is getting rid of its migrants illegally.
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.
Huh, your comment made look if there were personalized recommendation algorithms running on lemmy. From what I found, it appears that Lemmy does not use personalized recommendation algorithms : https://join-lemmy.org/docs/contributors/07-ranking-algo.html
The specific function used for ranking is here : https://github.com/LemmyNet/lemmy/blob/4ba6221e04ab3e186669aeaa890d23b1e3f3d1a9/crates/db_schema/replaceable_schema/utils.sql#L18
I'm wondering how hard it would be to adapt the code to customize the score for every user, instead of it being global.
I makes it look like the advancement here is finding methods to efficiently use sets of graphs which are an order of magnitude larger than prior methods could use for training? They also seem to have used more sets of graphs than prior models across a wider set of domains. Am I reading this correctly?
I find it challenging to gauge the paper's impact fully, as this isn't my area of expertise. However, the ability to use diverse graphs in a single model surprised me and seemed worth sharing.
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.
...
French here we use both the middle and the left. It depends on the group of friends.
Now instead of just querying the goddamn database, a one line fucking SQL statement, I have to deal with the user team
Exactly, you understand very well the purpose of microservices. You can submit a patch if you need that feature now.
Funnily enough I'm the technical lead of the team that handles the user service in an insurance company.
Due to direct access to our data without consulting us, we're getting legal issues as people were using addresses to guess where people lived instead of using our endpoints.
I guess some people really hate the validation that service layers have.
Paper here : https://arxiv.org/pdf/2312.00752.pdf
Abstract :
Foundation models, now powering most of the exciting applications in deep learning, are almost universally based on the Transformer architecture and its core attention module. Many subquadratic-time architectures such as linear attention, gated convolution and recurrent models, and structured state space models (SSMs) have been developed to address Transformers’ computational inefficiency on long sequences, but they have not performed as well as attention on important modalities such as language. We identify that a key weakness of such models is their inability to perform content-based reasoning, and make several improvements. First, simply letting the SSM parameters be functions of the input addresses their weakness with discrete modalities, allowing the model to selectively propagate or forget information along the sequence length dimension depending on the current token. Second, even though this change prevents the use of efficient convolutions, we design a hardware-aware parallel algorithm in recurrent mode. We integrate these selective SSMs into a simplified end-to-end neural network architecture without attention or even MLP blocks (Mamba). Mamba enjoys fast inference (5× higher throughput than Transformers) and linear scaling in sequence length, and its performance improves on real data up to million-length sequences. As a general sequence model backbone, Mamba achieves state-of-the-art performance across several modalities such as language, audio, and genomics. On language modeling, our Mamba-3B model outperforms Transformers of the same size and matches Transformers twice its size, both in pretraining and downstream evaluation.
Same issue here.