T156

@T156@lemmy.world · Joined ⁨Jun⁩ ⁨2023⁩

Replying to @⁨disorderly@lemmy.world⁩

ITAR has severely restricted access to nav system tech export, but there was always this open question about reckoning position by visual cues rather than GPS + dead reckoning. We all knew it was technically feasible, but we assumed that having “visual” cues was further out because AI at the time wasn’t up to the task.

There’s always going back to the old-fashioned method of having a trained pigeon inside of the device instead of a sophisticated computer vision system.

YouTubeQI | What Would A Kamikaze Pigeon Unit Do?by QI

Replying to @⁨mereo@piefed.ca⁩

Microsoft seems intent on pushing people to alternatives. Not only did they quietly remove the higher RAM recommendation, but now the OS is more expensive.

So what people are likely to get an underpowered computer that costs more if they have to buy a new laptop. On the tail of Apple recently releasing a relatively nice and cheap laptop to much fanfare, no less.

It sounds like we’re about to see a repeat of the Windows Vista days. Where people hate Windows because it’s slow and horrible, and it is slow and horrible because it’s running on an underspecced machine barely meant to run the previous version of windows.

Replying to @⁨dan1101@lemmy.world⁩

Especially since when you ask it those questions, it’s still massively limited.

I once tried Apple’s replacement AI Siri thing, and asked it what the date would be next Tuesday. I got “I can’t help with that”.

Regular old Siri handled that just fine.

Even then, neither worked with “When’s the last occurrence of this event on my calendar?”. They’d either go “I’m sorry, I don’t understand”, or happily tell me when the next event was.

Neither of them seem like very difficult questions.

Replying to @⁨HuudaHarkiten@piefed.social⁩

Pretty much. The implied plan is that they want to replace the keyword/rule-based automatic moderation system moderators have access to with LLM-based automation.

So if you had a subreddit that banned all use of the letter e, you could whack a rule up to remove according to criteria .*[eE].* which would have it remove all instances of the letter e.

The new system supposedly replaces it with a prompt-based system, where all messages run through an LLM, and you write out a prompt informing it what it should remove (“remove all messages containing the letter e”).

Replying to @⁨BlaestEgnen@feddit.dk⁩

Human brains are also considerably more efficient than an artificial neural network. Most modern ones only replicate the function of a human brain and its neurons in the most basic of aspects.

Things like encoding data itself in how the signal is transmitted are still pretty uncommon in artificial neural networks, for example.

We’d probably need somewhere close to several times the size and computing power of a human brain to even start coming close with current technology, assuming that it is possible to begin with.

en.wikipedia.orgSpiking neural network - Wikipedia

Replying to @⁨vegeta@lemmy.world⁩

This coming off the end of the OpenAI/HuggingFace business does come across rather like Anthropic is doing a “actually, our models did it first, and better”.

Didn’t the company also recently have a spot of bother with the US government recently, where their new models were banned because of all their rabble about it being too dangerous? This hardly seems like it would help their case.

Replying to @⁨RamRabbit@lemmy.world⁩

It’s a text completion model/glorified Markov chain. Of course it can’t input sanitise, it was never meant to do this to begin with.

The tool calling integrations that let it do more are basically making it add a markdown code block in JSON format into the user message, where the middleware intercepts it.

The input and “instructions” are the same thing from its perspective. There’s nothing special that differentiates the two. The user input text, so it will output text, following the most likely sequence from its training.