Akisamb

joined 1 year ago
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[–] [email protected] 8 points 4 days ago

Tu trouves la forme d'exploitation faite par une entreprise aussi mauvaise que celle faite par ces trafiquants de drogues?

[–] [email protected] 11 points 2 weeks ago (5 children)

They've got thunderbird which is as far as I know the only serious alternative to outlook.

[–] [email protected] 2 points 1 month ago

Same issue here.

[–] [email protected] 2 points 1 month ago (1 children)

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.

[–] [email protected] 4 points 1 month ago

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.

[–] [email protected] 4 points 1 month ago (1 children)

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 :

La production du premier trimestre 2024 est légèrement supérieure à celle du premier trimestre 2023 dans l’industrie manufacturière (+0,4 %) comme dans l’ensemble de l’industrie (+0,3 %).

[–] [email protected] 5 points 1 month ago

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.

[–] [email protected] 7 points 1 month ago (1 children)

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.

[–] [email protected] 23 points 2 months ago* (last edited 2 months ago) (2 children)

https://notesfrompoland.com/2024/06/17/poland-demands-explanation-after-german-police-transport-migrant-family-back-over-border/

“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.

[–] [email protected] 7 points 2 months 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.

[–] [email protected] 2 points 2 months ago

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.

[–] [email protected] 69 points 2 months ago (2 children)

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.

...

 

cross-posted from: https://lemmy.one/post/13942290

Abstract: We present Scallop, a language which combines the benefits of deep learning and logical reasoning. Scallop enables users to write a wide range of neurosymbolic applications and train them in a data- and compute-efficient manner. It achieves these goals through three key features: 1) a flexible symbolic representation that is based on the relational data model; 2) a declarative logic programming language that is based on Datalog and supports recursion, aggregation, and negation; and 3) a framework for automatic and efficient differentiable reasoning that is based on the theory of provenance semirings. We evaluate Scallop on a suite of eight neurosymbolic applications from the literature. Our evaluation demonstrates that Scallop is capable of expressing algorithmic reasoning in diverse and challenging AI tasks, provides a succinct interface for machine learning programmers to integrate logical domain knowledge, and yields solutions that are comparable or superior to state-of-the-art models in terms of accuracy. Furthermore, Scallop's solutions outperform these models in aspects such as runtime and data efficiency, interpretability, and generalizability.

 

cross-posted from: https://lemmy.ml/post/13088944

 

abstract :

How do sequence models represent their decision-making process? Prior work suggests that Othello-playing neural network learned nonlinear models of the board state (Li et al., 2023). In this work, we provide evidence of a closely related linear representation of the board. In particular, we show that probing for "my colour" vs. "opponent's colour" may be a simple yet powerful way to interpret the model's internal state. This precise understanding of the internal representations allows us to control the model's behaviour with simple vector arithmetic. Linear representations enable significant interpretability progress, which we demonstrate with further exploration of how the world model is computed.

 

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.

 

Was looking at EAP6 release notes and was pleasantly surprised to see this there.

I'm quite happy that intellij provides on premise solutions, it gives a small chance of this coming to my job one day. I believe this will be quite useful for repetitive code and certain types of tests.

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