• 2 Posts
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Joined 9 months ago
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Cake day: February 9th, 2026

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  • Holy hell the dumb takes get dumber.

    Edit: added the sources I grumpily handwaved about earlier

    So immediately after plagiarising a human mathematician’s work, OpenAi dumped 722 unverified preprints on the maths community and assumed that they would be grateful… they’re not. Just because you brute forced something in lean doesn’t mean it actually has any meaning at all. Even the one-shotted Terry Tao had some wise words on this . Many of the preprints have already been proven wrong. OpenAI just extruded a huge pile of bullshit and told people ā€œgo digā€.

    So the case for ennui is this: A computer program produces plausible sounding answers to your questions so you Eliza yourself. Then, when the computer starts producing volleys of diarrhea, instead of thinking ā€œhmm maybe I was too quick to Eliza myself like thatā€ it’s straight to ā€œI’m sad and depressed because this very smart computer would never produce garbage. It must simply be smarter than meā€

    That potato farm retirement is looking more and more tempting every day and I’ve got at least 2 decades until I’m pensionable age FML.







  • Disney character ai experience coming to a theme park near you. Wait in line with 1000 other lonely men and husbands abandoned by their families who went to see space mountain. Admits one at a time - the ā€œrideā€ lasts 30 seconds but in between each run there’s a 15 minute cleanup time.

    Coming soon the Lonnie Boo experience - completely fictional AI character. Any likeness to real people is a coincidence.







  • MalwareTech/Marcus Hutchins has an excellent take on this that he posted for the normies on linkedin

    Posted verbatim below to save you from having to read LinkedIn


    Anthropic really won’t let this botnet thing go. It’s so desperate & ridiculous.

    1. 9B parameter models are so weak that they’re essentially useless. There is no reason at all for anyone or anything to be self-replicating them.

    2. Even if you quantize a 9B parameter model down to the smallest possible size (at which point it becomes less than useless), and you run it on regular RAM instead of VRAM (at which point it also becomes painfully slow) it still requires about 5 GB of RAM, which is way more than most IoT device has.

    3. Mirai is already self-propagating across millions of IoT devices without the help of any AI. It’s simply not needed, and it adds unnecessary complexity.

    4. Many IoT devices are ephemeral and their entire OS is reset on reboot, so any code running on the device is gone after reboot. The AI models would also be competing with malware like Mirai, which propagates exponentially faster, and locks down the devices so other malware can’t get in.

    5. Again, why? What is the purpose of this. Anthropic keeps pushing this ridiculous idea but have yet to establish any reason for why this would actually happen, or who would benefit from it.

    6. Any remotely intelligent threat actor would just use a powerful unquantized models to reverse engineer & find vulnerabilities in obscure devices and write normal (AI-free) self-propagating code. Ironically, they typically do this by stealing Anthropic API keys and using Anthropic’s models, not open-weight ones.

    7. Again, why are we self-propagating open-weight models? There is absolutely no reason to do that. The combined processing power of every IoT device on earth would be less than a moderately sized stolen cloud compute GPU instance.

    8. I’m pretty sure Anthropic keeps pushing these ridiculous narratives in an attempt to paint open models as dangerous, thus making the case for banning them. They have been OBSESSED with GLM lately, likely because it’s eating their overpriced lunch. This research is just so deeply unserious, that it’s impossible to believe it’s being done in good faith.