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@ percent @infosec.pub

Posts
2
Comments
430
Joined
1 yr. ago

I've never really followed X (nor Twitter), Bluesky, Instagram, TikTok, etc. so I basically live under a rock. Sometimes I ask dumb questions to try to understand people a little better. Apologies if my questions inadvertently offend anyone. I mean no harm.

  • Jensen Huang says Nvidia now has 'zero percent' market share in China — says US export policy 'has already largely backfired'

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  • Chinese AI labs kinda seem like a plot twist in LLM evolution. Their models are quite capable now. They're not at the levels of American labs' flagship models yet, but the gap has been narrowing quite a lot.

    When OpenAI and Anthropic models are only marginally better, but much pricier, then I would think they'll gradually shed users (followed by investors).

    Ironically, I could imagine a possibility of Nvidia "saving" American AI. If they can take the lead with Nemotron (in like a "post-OpenAI/Anthropic" future when open-source models dominate), then maybe they can survive on chip sales... Though they'd probably have to compete with Chinese chips at that point.

  • This is why people keep getting hacked

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  • Operation: Thanksgiving with Gam Gam

  • Anxiety around AI is growing rapidly in the US, research shows

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  • I know I'm being pedantic, but machine learning has been around for many decades

  • Science

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  • Can I ask what they took? It's none of my business, but I guess I'm morbidly curious about what they were desperate to have, and why burglary was a better option than, say, shoplifting or something

  • The AI Termination Ban: Why Chinese Courts Just Made It Illegal to Replace Workers with Robots

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  • Thanks. It's an odd accusation after simply asking "How?" (I was genuinely curious) but I appreciate you clarifying their response. Upvoted to counter the downvote 🙂

  • The AI Termination Ban: Why Chinese Courts Just Made It Illegal to Replace Workers with Robots

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  • It's possible that I'm just a dumbass, but...

    1. I don't see the part of the article that explains how you will hold them to their word. Am I overlooking something?
    2. This is the first time I've seen "sea lion" used as a verb (though maybe I can google this one)

  • The AI Termination Ban: Why Chinese Courts Just Made It Illegal to Replace Workers with Robots

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  • How?

  • The ps5-linux project can turn some PlayStation 5 consoles into a Linux gaming machine

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  • I think I remember similar headlines for PS3

  • nice

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  • No the forklift thing

  • Claude-powered AI coding agent deletes entire company database in 9 seconds — backups zapped, after Cursor tool powered by Anthropic's Claude goes rogue

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  • Seems like they were operating with a pile of bad practices, then threw AI into the mix.

    Neural networks are approximation algorithms. There's a reason LLMs are generally more productive with statically typed languages, TDD, etc. They need those feedback loops and guard rails, or they'll just carry on as if assuming they never make mistakes (which tends to have a compounding effect).

    If you want to use AI safely, you should be more defensive about it. It will fuck up; plan accordingly.

  • Claude-powered AI coding agent deletes entire company database in 9 seconds — backups zapped, after Cursor tool powered by Anthropic's Claude goes rogue

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  • These protocols predate LLMs

  • Why are people speculating that the most recent Trump assassination attempt was fake?

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  • There will always be conspiracy theories for things like this. It's probably just the usual noise

  • jigglyfluff

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  • It's chest hair

  • DeepSeek ditches Nvidia for Huawei chips in V4 launch

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  • Gemma4:26b is also worth trying. I find it runs much faster on my hardware.

    Edit: Qwen3.6:35B might be the sweet spot. It's bigger than the 27B, but actually more lightweight when running. TIL the 27B is not a MoE model; it's a dense model. The 35B is a MoE model with only 3B active params.

    So far, I think Qwen3.6:35B might be giving me better results than Gemma4:26B. It's a bit slower than Gemma4:26B, but definitely faster than Qwen3.6:27B.

  • DeepSeek ditches Nvidia for Huawei chips in V4 launch

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  • +1, exactly the same experience. Except Gemma4:26B really sucks with OpenCode. Works great with Pi though

  • The Pulse: ‘Tokenmaxxing’ as a weird new trend

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  • Do you not use it enough because yet get bad results? I discovered that, no matter how smart the LLM might be, its first attempt is never its best work. Tell it to review its work (or its plan, if using planning mode). If it makes any changes, tell it to review its work again. Repeat until there are no more changes.

    (You don't actually have to do this repetition manually; just tell the AI to do it in a loop. I recommend making it into a SKILL.md so you don't have to explain the loop every time.)

    With these loops, I get better results AND burn lots of tokens. (Yes, it feels strange that excessive token consumption is actually considered a good thing)

  • Go on...

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  • The one that goes "siiimply haaaving a wonderful Christmas time"

  • Microsoft drops Copilot branding in Notepad for Windows 11 for everyone, but it’s really just a rename

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  • That's Notepad in the screenshot? I haven't used Windows in years, but I remember Notepad being the one that didn't do rich text. Did they just fold Wordpad into Notepad and add Copilot?

  • Do I belong in tech anymore?

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  • Before AI, I was spending a lot of time fixing slop left behind by people who didn't seem to care about quality.

    Now, I (am forced to) use AI to clean up slop from the same people, but they're also armed with AI (though, to be fair, I think AI adoption actually had a net positive effect on their code quality).

    So yeah I agree, it's definitely magnified.

    Honestly though, slop cleanup doesn't affect my mood as much anymore, now that I don't have to do it manually. I had AI agents identify ~15 bugs yesterday. Then, I had agents handle the entire flow for each one in parallel: Create a ticket in the issue tracker, fix the bug (TDD approach), open a PR, monitor CI while it runs, wait for review (and address change requests/feedback), merge, then close the ticket. It was a lot more in a single day than I used to do manually.

  • Factorio @lemmy.world
    percent @infosec.pub

    Public multiplayer games?

  • Dogs @lemmy.world
    percent @infosec.pub

    I had to say goodbye to my closest companion today.