Education is supposed to teach “how to learn to learn”.

Left to his own devices, then, without knowing quite what to ask or how to interpret the responses, the man in this case study “did his own research”

The whole thing with “do your own research”, is kind of funny:

• some use it to avoid explaining their points
• others use it to come up with a lot of nonsense
• while the proper way to begin any “research”, is to… ask an expert.

Nobody has ended up in a psych hold, just by reading a bunch of Wikipedia articles, asking ChatGPT… then consulting a doctor.

Not sure if I’m not explaining myself, or you’re choosing to not understand me. I’m going to leave it here.

Kind of like saying that ChatGPT is people adding an AI player to the deterministic program of a chat… nah, I’m not going to discuss that. Tic-tac-toe is a classical example problem for neural networks 101, kind of a “hello world”.

Good news: advances in medicine have reduced “physical” natural selection so much, that “intellectual” natural selection is overtaking it.

Now, if only all countries could say the same.

Keywords: NPU, unified RAM

Apple is doing it, AMD is doing it, phones are doing it.

GPUs with dedicated VRAM are an inefficient way of doing inference. They’ve been great for research purposes, into what type of NPU may be the best one, but that’s been answered already for LLMs. Current step is, achieving mass production.

5 years sounds realistic, unless WW3.

If the current rate of execution of Project 2025 is an indicator… no, there are no “decades” left.

chain-of-thought models

There are no “CoT LLMs”, a CoT means externally iterating an LLM. The strength of CoT, resides in its ability to pull up external resources at each iteration, not in dogfooding the LLM its own outputs.

“Researchers” didn’t “find out” this now, it was known from day one.

As for who needs to hear it… well, apparently people unable to tell apart an LLM from an AI.

It still is: https://www.google.com/search?q=tic+tac+toe+ai

Plenty of examples out there.

Looks fine so far.

Truth

[sarcasm] Too many words bad… next time, try this one: “Whaaat?” [/sarcasm]

Seriously, people really need to learn to use AI as a tool, not as an omniscient oracle, and not as an idiot baby.

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Of course. I also hope this will stop like 99% of the skiddie spam. I’m just afraid that, like it has happened with hacking in general, a noob installing Kali will get a ton of one-click ways to bypass these measures… and then, what’s next?

Genai inserting watermarking would be great, but that’s hard to do with text, in any way that isn’t easily removed.

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I’m seeing about as many wrong questions as wrong answers. We’re at a point, where it’s becoming more accurate to ask, whether the quality of the answer, is “aligned” with the quality of the question.

As for “AI” and “intelligence”… not so long ago, dogs had no intelligence or soul, and a tic-tac-toe machine was “AI”. The exact definition of “intelligence”, seems to constantly flow and bend, mostly following anthropocentric egocentrism trends.

Indeed. The point is, that asking about r is ambiguous.

Sounds fair. Only issue might be… that creating an automated cleanup tool to remove those triggers, wouldn’t be all that difficult.

A 2023 review by NASA concluded that the data they’d been providing had been “of exceptionally high quality.”

Could also “accidentally” leak all the data, in case there are no non-US backups.

I’d rather not answer this one because, if I did, I’d be pissing on Beehaw’s core values.

I feel like you already did, and I won’t be responding in kind. Good day, to you.