It would be luck based for pure LLMs, but now I wonder if the models that can use Python notebooks might be able to code a script to count it. Like its actually possible for an AI to get this answer consistently correct these days.

The way I understand the users didn’t necessarily realize McAfee is responsible, just that a bunch of sqlite files appeared in temp so they might not connect the dots here anyway. Or even know McAfee is installed considering their shady practices.

I do think we’re machines, I said so previously, I don’t think there is much more to it than physical attributes, but those attributes let us have this discussion. Remarkable in its own right, I don’t see why it needs to be more, but again, all personal opinion.

I read this question a couple times, initially assuming bad faith, even considered ignoring it. The ability to change, would be my answer. I don’t know what you actually mean.

Personally my threshold for intelligence versus consciousness is determinism(not in the physics sense… That’s a whole other kettle of fish). Id consider all “thinking things” as machines, but if a machine responds to input in always the same way, then it is non-sentient, where if it incurs an irreversible change on receiving any input that can affect it’s future responses, then it has potential for sentience. LLMs can do continuous learning for sure which may give the impression of sentience(whispers which we are longing to find and want to believe, as you say), but the actual machine you interact with is frozen, hence it is purely an artifact of sentience. I consider books and other works in the same category.

I’m still working on this definition, again just a personal viewpoint.

Its a thing. https://en.m.wikipedia.org/wiki/Busy_waiting

Yes, forgot the exact details apologies

You can change those to /dev/disk/by-uuid/XYZ (“ls -an” that directory to see the symlinks to your current drives)

Basically just look for things like root=/dev/sda2 in the kernel command line. You can get it at runtime by running “cat /proc/cmdline” having /dev/sda etc in your fstab might also be a problem

Yes if you have multiple drives some buggy BIOS may not enumerate them in the same order every time. Most modern distros do UUIDs by default but when manually setting up a bootloader it is easy to succumb to such temptations to use the much simpler device paths as the UUIDs are a pain. If you’re not sure how to change the kernel parameters most likely you’re good on that front actually, its in your grub config as others have mentioned. I’ll leave this comment around in case some poor soul who did it manually comes across the thread.

Depending on if you wrote the kernel cmdline yourself I imagine this might happen using /dev/sdN style device paths? BIOS might change things up every now and then for fun, so using partition UUIDs would be a better way if so.

I think the part that annoys me the most is the hype around it, just like blockchain. People who don’t know any better claiming magic.

We’ve had a few sequence specific architectures over the years. GRU, LSTM and now Transformers. They were all better than the last at the task of sequence specific transformations, and at least for the last one the specific task was language translation. We eventually figured out these guys have a bit of clairvoyance too, they could make accurate predictions based on past data, or at least accurate enough to bet on, and you can bet traders of various stripes have already made billions off that fact. I’ve even seen a transformer based weather model. It did OK, but transformers are better at language.

And that’s all it is! ChatGPT is a Transformer in the predictive stance. It looks at a transcript of a conversation and thinks what a human is most likely to say next. It’s a very complex transformation of historical data. If you give it the exact same transcript, it gives the exact same answer. It is in the literally mathematically rigorous sense entirely incapable of an original thought. Any perceived sentience is a shadow of OpenAI’s army of annotators or the corpus it was trained on, and I have a hard time assigning sentience to tomorrow’s forecast, which may well have used similar technology. It’s just an ultra fancy search engine index.

Anyways, that’s my rant done I guess. Call it a cynical engineer’s opinion. To be clear I think it’s a fantastic and useful technology, and it WILL change how we interact with machines. It can do fancy things with the combination of “shell” code driving it’s UI like multi-step “agents” or running code, and I actually hope OpenAI extends it far into the future, but I sincerely think any form of AGI will be something entirely different to LLMs, or at least they’ll only form a small part of it as an encoder/decoder for it’s thoughts.

EDIT: Added some paragraph spacing. Sorry, went into a more broad AI rant rather than staying on topic about coding specifically lol

Yeah, in my mind I thought of it more as a “why not” in addition to vision. Like why make it only as capable as the humans its trying to replace when it can have even more data to work with? Probably would have been even more expensive though

True that, he did good on that front for a while though. He got too confident

I remember hearing a while back that Musk made an executive decision at Tesla to not use LIDAR. I thought: “That’s a stupid decision. At least invest in making it better if you think its not sufficient” and I had a quite negative view of his engineering abilities ever since. Seeing as a Tesla can be fooled by a projector these days, I’m willing to die on that hill. I will admit that he is an exceptional businessman, most people would piss away a fortune if given one, but an engineer he is not, not by a loooooooong way.