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Joined 1 year ago
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Cake day: June 4th, 2023

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  • No, not at all.

    If the company fire you they have to pay you, e.g., three months notice, regardless of if they want you to do the work or not.

    If you quit without notice, you might have to pay the costs incurred by you quitting early, but that’s not your salary -because they now wouldn’t be paying you.

    Costs might be something like the company having to refuse an order because they now don’t have enough people to do the work, or the increased cost of an expedited hiring process.

    I don’t know how common costs are in France, but the UK has the same rules and essentially no one ever claims costs. You need to really fuck over your employee in a very explicit and well documented way for this to even be considered.

    The main disadvantage is you will have a bad reference if you leave without notice.










  • As someone working and publishing in the field this is more a cyber jerk about American exceptionalism than actually true.

    Chinese universities and companies publish a shit tonne at pure machine learning conferences. They absolutely do a large amount of research into the fundamentals of machine learning as well as the applied stuff. They’re probably the closest to the US in terms of having large firms that are prepared to bank roll the training of the very large language models.

    Alibaba in particular has been constantly doing cutting edge stuff in terms of multimodal language models that are worth paying attention to.

    The actual truth is that China does both kinds of work. Broad foundational and applied work lead by independent research groups in companies and universities, and focused application driven stuff for direct application by the state.

    Google still stands out in terms of the amount of research it does, but this is because Google is different to everyone -other US research institutes don’t compare to it either.



  • No. The problem with your current bot isn’t that the website authors have a particular axe to grind, it’s that they’re just in a rush and a bit lazy.

    This means that they tend to say news sites which acknowledge and correct their own mistakes have credibility problems, because it’s right there - the news sites themselves acknowledged issues. Even though these are the often most credible sites, because they fix errors and care about being right.

    Similarly the whole left-right thing is just half-assed and completely useless for anyone that doesn’t live in the US. While anyone that does live in the US probably already has an opinion about these US news sources.

    Because these are lazy errors, lots of people will make similar mistakes, and aggregating ratings will amplify this, and let you pretend to be objective without fixing anything.