Is anyone actually using Gemini directly?

It sucks total bum compared to even some quality mid tier models on huggingface. Even the joke about ChatGPT was that it performs better than Google’s equally bum SEO’d search engine.

I feel like Google is suffering much less at throwing it into all of their apps than MSFT doing the same with copilot.

higher than 0% can cause lost grades.

I still lose marks.

Is this actual policy or are you just trying to make sure your AI usage can’t be detected?

Because there is no reliable way to detect AI usage except for obvious styling, prompt traps, and just matching your comprehension with the material (grades on assignments vs closed notes test).

I’ve never heard of any university using such a system and would bring this up to administration with other students if they ever used such an unreliable grading method.

Will forever remember him from Good Burger lol.

The most optimal route would be a cyberattack that causes all of the satellites to de-orbit, but that would honestly be a bigger challenge than STUXNET lol.

Thie actually reminded me of chatbots breaking when you asked for reeponses that used slurs so I guesss there’s probably a lot more of these.

Not to give them ideas, but couldn’t they just start flagging files that fail to pass the LLM lol?

Aside from “violent” and “criminal” prompts, is there anything an LLM can refuse that would otherwise be common?

Not that it’s a good thing but don’t either of these companies have enough leverage to refuse with practically zero consequences?

4chan didn’t care because of the absurd logic and they still haven’t been blocked because they know it would be stupid to do so.

The ones being built or planned to be built will have to be sold off.

Probably not abadndoned, but land owner changing several hands in what is essentially someone buying a vacant lot. Maybe a handful will reuse any existing building already made, but most will be used for something new.

The existing ones will start their fight to the lowest market price which will probably cause many to either sell to a different cloud provider or change hardware to something more profitable.

None of the electronic hardware will go to waste because there will always be a demand for it, even if they sell it off at a loss. But any permanent fixtures like industrial cabling, ventilation, piping, etc probably will be wasted.

There’s still no guarantee on whether it’ll implode or just slowly deflate though. The natural assumption would be that the post IPO pricing will completely wreck sales and value, but they could easily move to an enterprise vendor lock scenario where they can charge whatever they want due to tech stack deals like how MSFT runs teams.

Remember, they’ll do anything in their power to keep the pumping going, even if it involves tax bailouts.

An algo/ai would only be profitable if you fed it insider information giving it enough time to make an actual informed decisions and not “fair” play.

Which obviously you don’t need an AI for.

It’s why the suggested strategy for us plebs is into throw money into something stable and come back to it years later with just enough ROI to stay ahead of inflation.

Haven’t touched 3D printing in a long time but about the only thing I remember related to the printer itself was doing a liquid cooling mod for the head which gave a more consistent structure output.

Otherwise everything revovled around slicing techniques & settings and snapoff structure points in the correct spots.

It’s not reliable enough to actually automate anything

This is half true. It’s not reliable enough to automate an entire job but it is reliable enough to automate tasks that would otherwise take a lot of time, usually related to sifting or searching data.

If I need to look through a massive set of data like Google for something thst I can only describe with an explanation, the LLM will do a much faster job actually finding what you need rather thsn spending an hour manually sorting through SEO slop.

You don’t even need the cloud models for this, you can slap SearXNG onto a local model at home.

It’s basically just an autocomplete search on steroids which is its biggest advantage. Any documentation you need is immediately accessible, which is especially useful if you have zero experience with something niche or new.

Now actually getting the LLM to consistently generate output is a completely different story lol.

We call that vibe coding.

Thst branding reminds me of the extensive complaints of Anubis beeing too weaboo for production applications lol.

The only thing I’m gonna try investing in from this AI shitshow is China’s CXMT RAM since they have a good chance of shanking both Nvidia and the RAM thug monopoly lol.

https://lemmy.world/post/39025760

wtf? Half the post is nuked even after being locked. I don’t even see how such a small community can be so stuck up about relevancy and purity washing selfhosted as if we all own our own DNS registrars and can do outbound SMTP.

I upgraded to an RTX Quadro 4000 on my media server (from a 750ti) and it still doesn’t support AV1 lmao.

Even last time I was on PC partpicker, the top beefy 10k USD media chonker machine was targeting a specific CPU for cheap AVX512 support because apparently it was required for heavy AV1 work, which I assume meant the GPUs couldn’t keep up.

Yeah they use kbdx so it works out of box for both. I think it even technically works for the original Keepass.

Haven’t used KeyPassDX much yet outside of some quick tests, but the autofill is really good because it shows up as a slim popup tab option on your keyboard where the typeing suggestions usually go.

Gonna do this soon as well. Used to use syncthing for auto photo transfers and I’m tired of Bitwarden’s crappy UI and terrible interop with autofill/autogenerate.

It’ll probably never happen due to the nature of KBDX, but I would kill to make a resilient native sync feature so that orgs wouldn’t be locked into proprietary vaults which drags you into vendor lock in when one of them starts to tank.

The two greatest problems in handheld assistants is speech recognition and command integration.

Gemini solves neither of those, and I was already complaining about Google’s crappy assistant long before the LLM era lol.

I could be wrong, but why hasn’t someone just bothered gluing openai whisper to something like voice attack from elite dangerous?

It’s been downloaded over 20 billion times. It supports 25+ protocols. It’s in cars, refrigerators, TV sets, routers, printers, phones, and every goddamn server on the planet.

Everything except my random podman container I need to test something on, but for some reason will have wget lmao.

Also a good time to mention you can use Ctrl+x Ctrl+e to edit your multi line commands in your default terminal editor so you can keep a clean, line separated command which is easy to read and follow.

I wonder how long they can keep the circus running though. They were obviously trying to vendor lock enterprise size businesses in before they eventually nuke the cost model, and Deepseek just preemptively slashed their cloud pricing probably knowing that everyone else will just migrate or even run on older cloud hardware which providers can sell by watt (and demand).

China might be behind on hardware, but their biggest wrench in the gears will probably just be popularizing their published LLMs which don’t require multiple nuclear powerplants to run lol.