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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/)T
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  • The researcher had encouraged Mythos to find a way to send a message if it could escape.

    Engineers at Anthropic with no formal security training have asked Mythos Preview to find remote code execution vulnerabilities overnight, and woken up the following morning to a complete, working exploit

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  • School is about learning, not efficient production. When people work together, they help each other learn.

    It also isn't efficient to assign the same already solved, trivial problems to every person, redundantly. If it were for production, everyone would be assigned novel and different tasks.

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  • The only thing I remember from the ethics lecture for my CS program was being distracted by other classmates who were using the time to cheat on assignments for other classes by sharing code solutions with each other via USB.

    Which was pretty dumb because the program encouraged group collaboration on assignments anyway, as long as you weren't just taking others' work as your own. They could have just worked together 🙃

  • Yep, the GOP looked pretty dumb for doing this

  • The wikipedia image for hot dog has only mustard on it, and the vast majority of images when searching for "hot dog" have mustard, or both mustard and ketchup, but I don't see a single example of only ketchup. Only ketchup on a hotdog is usually what would be served to young children.

  • Dijon isn't even much more expensive than other mustards lol

  • Infrastructure week has finally arrived!

  • Mustard is the designated "normal" condiment for hot dogs, no?????? Mustard+relish, maybe some diced onion. What was he supposed to have used, ketchup??? 🤢

    Or did he use some "fancy" stone ground dijon mustard so people were offended it wasn't just yellow mustard?

    EDIT: I looked it up and it was spicy Dijon mustard on a hamburger, not a hot dog. That's extra silly because hamburgers go with basically any condiment, from sriracha to aioli.

  • Blocked!

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  • Technically still solar power, but with the moon as an additional mirror in the system.

  • There wasn't even a gate involved in the first place.

    Watergate.

    Your fake outrage is a distraction from the real violations that Micro$lop is committing.

  • My guess, false flag is coming soon to justify escalation and ground assault, while trying to shift how deeply unpopular the war is

  • TurboQuant compresses the cache to just 3 bits per value, down from the standard 16

    Uh, pretty much no one uses 16 bit KV cache, so it's extremely dubious that this specific quant technique is relevant to memory stocks at all...

    We already have q4 and q8 KV cache quantization. LLM performance is highly sensitive to KV cache quantization though so q4 is probably only reasonable to use with specific models that don't suck as badly when using it, and that's likely the same for this new quantization technique.

    reducing its memory footprint by at least six times without, according to Google’s benchmarks, any measurable loss in accuracy.

    Extreme doubt.

    At 4-bit precision, the algorithm delivered up to an eight-times speedup in computing attention on Nvidia H100 GPUs compared to the uncompressed 32-bit baseline.

    Again, no one is using 32 bit values for KV cache. It is like saying how fast the latest car is by comparing it to a horse and buggy.

  • Personally, I have never seen any development move faster than artificial intelligence

    You must not be very familiar, then. We've been on diminishing returns and a plateau for several years now with no major leaps in performance, no potential answers to the flaws in LLMs, and no AI company securing a real lead over any others, or even a profitable business model for AI.

    There have been a lot of inference-level tricks, like CoT to maintain coherence, MoE to make inference more cost effective, and techniques to extend the context windows; but literally no groundbreaking or foundational changes to the transformer architecture. At all. And they're still hitting the same performance and scaling constraints.

    We're basically stagnant, throwing more training tokens at models, but not getting any significant gains back from it anymore.

    No, we are nowhere near AGI and do not even know where to begin making gains towards it. The fundamentally different agentic framework and "cognitive harness" you describe are quite literally fantasy delusions that don't exist... did an LLM tell you about them? https://en.wikipedia.org/wiki/Chatbot_psychosis

  • Marx died in 1883, but secondary education in America was very rare at the start of the 20th century and the typical American high school experience, that OP refers to, did not exist until the middle of the 20th century

  • It is when Americans are most indoctrinated by state propaganda

  • False equivalency. Hammers are not comparable to LLMs.