Skip Navigation

InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)C
Posts
2
Comments
71
Joined
3 yr. ago

  • Bluesky amplified their problems by retaining old Twitter's dogshit discoverability/search. If you have fewer users, it's important to make those users count, yet somehow it feels even harder to search than other social networks

  • Just repeating rumors (sorry, should have been clearer): GLM 5.3 is 5.2 with extra post training, their big upcoming model is 5.5. It kind of makes sense too; pretraining on a new architecture/size is expensive and it's natural for these companies to try to wring an extra minor version or two out of each one.

  • Gonna go out on a limb here and say that getting into AI was the best thing Zuckerberg ever did for humanity, specifically the decision to release Llama as open weight (albeit obnoxious license) early on. That was the thing that showed the whole world open weights could work. Even if modern open weight models aren't direct descendents of Llama, and even if Meta subsequently pivoted to closed weights, that's still something that shouldn't be forgotten.

  • Very likely the same architecture, just with more post training.

  • The coding skills are pretty meh relative to its size, but apparently its image processing skills are turning out to be top notch.

    Interesting... Google's Gemini, which similarly boasts strong multimodal capabilities, is also having problems being competitive on coding. Wonder if it's just a coincidence.

  • Weird how the article doesn't mention a key factor: the Chinese labs have really low headcount compared to their Western competitors, and organizationally they're much more focused on model building than sidequests. Deepseek had only a couple hundred employees until recently, and accordong to leaks only had one or two people maintaining their consumer facing app.

  • Yeah, they are currently engaged in a major spat with Huawei, which is accusing them of price gouging HBM supplies. Sounds familiar...

  • aren't playing for profit

    CXMT is probably the most profitable tech company in China right now.

  • I feel like at this point we need shade on demand more.

  • He took over a failing Dutch tech company and turned it around. Nexperia was on the path to bankruptcy, that's why it was on the market to be sold back in 2017. His company injected capital and made it profitable. Even last year, his parent company even announced a $200M expansion of Nexperia's Hamburg plant, which totally goes against the narrative that they were moving production out of Europe.

    The Dutch govt is trying to spin this, but they have like 5 different storylines and none of them make sense.

  • Technology @lemmy.world

    The ‘Chinese owner’ of Nexperia: How Zhang Xuezheng’s tech empire fell to geopolitics

    www.thinkchina.sg /technology/chinese-owner-nexperia-how-zhang-xuezhengs-tech-empire-fell-geopolitics
  • In some dimensions, current day LLMs are already superintelligent. They are extremely good knowledge retrieval engines that can far outperform traditional search engines, once you learn how properly to use them. No, they are not AGIs, because they're not sentient or self-motivated, but I'm not sure those are desirable or useful dimensions of intellect to work towards anyway.

  • The kneejerk reaction is gonna be "Meta bad", but it's actually a bit more complicated.

    Whatever faults Meta has in other areas, it's been mostly a good player in the AI space. They're one of the major reasons we have strong open-weight AI models today. Mistral, another maker of open AI models and Europe's only significant player in AI, has also rejected this code of conduct. By contrast, OpenAI a.k.a. ClosedAI has committed to signing it, probably because they are the incumbents and they think the increased compliance costs will help kill off competitors.

    Personally, I think the EU AI regulation efforts are a big missed opportunity. They should have been used to force a greater level of openness and interoperability in the industry. With the current framing, they're likely to end up entrenching big proprietary AI companies like OpenAI, without doing much to make them accountable at all, while also burying upstarts and open source projects under unsustainable compliance requirements.

  • The EU AI Act is the thing that imposes the big fines, and it's pretty big and complicated, so companies have complained that it's hard to know how to comply. So this voluntary code of conduct was released as a sample procedure for compliance, i.e. "if you do things this way, you (probably) won't get in trouble with regulators".

    It's also worth noting that not all the complaints are unreasonable. For example, the code of conduct says that model makers are supposed to take measures to impose restrictions on end-users to prevent copyright infringement, but such usage restrictions are very problematic for open source projects (in some cases, usage restrictions can even disqualify a piece of software as FOSS).

  • At this point, Tesla needs to steal IP from them, not the other way round.

  • Fermentation-made milk substitute was available at supermarkets in Singapore (under the brand name Very Dairy, though the original product was from the startup Perfect Day). I really liked it---a lot nicer than oat milk for drinking straight up. Unfortunately it went off the shelves after a while, seems like demand wasn't high :-(

  • I'm curious whether Deepseek will gaf about this. They've been rather uninterested in commercialization, and the app is mainly a way of showing off their model, which itself is released open-weights. In fact, it's literally impossible to spend money in the app! They sell tokens but it's API-only, and you can't spend it in the app.

    So it's entirely possible the Deepseek will shrug, let their app be banned in Germany, and keep doing what they're doing.

  • It's a bit hard to believe, but the vast majority of China's manufacturing is consumed in China. They're actually not that export oriented compared to other countries like Germany or Japan, it's just the scale that makes them such an export juggernaut. The flip side of this is that most of the energy use is also actually China's own energy use.

    And China's energy use is increasing simply because its people are getting richer and consuming more. Based on this, I don't think China is the main concern. There are lots more developing countries that will likewise use more energy as they develop. China's green transition seems to be going full tilt, but I'm not sure those other countries can transition as quickly.

  • By that metric, you can argue Kasparov isn't thinking during chess, either. A lot of human chess "thinking" is recalling memorized openings, evaluating positions many moves deep, and other tasks that map to what a chess engine does. Of course Kasparov is thinking, but then you have to conclude that the AI is thinking too. Thinking isn't a magic process, nor is it tightly coupled to human-like brain processes as we like to think.

  • Pretty sure it's at least semi-autonomous. In the video you can see the bots react to hits and recover their footing, there's no way a human can control all those reflex actions in real time.

  • politics @lemmy.world

    Nate Silver's model for the 2024 election is out, currently predicts a 65% chance of a Trump victory.

    www.natesilver.net /p/the-presidential-election-isnt-a