Ublock origin isn’t the only ad blocker out there. If you like Ublock origin, use Ublock origin lite. It’s fully V3 compliant.
Linux server admin, MySQL/TSQL database admin, Python programmer, Linux gaming enthusiast and a forever GM.
Ublock origin isn’t the only ad blocker out there. If you like Ublock origin, use Ublock origin lite. It’s fully V3 compliant.
Abandon consoles. Embrace the inevitability of the PC master race.
pi ends with the digit 9, followed by an infinite sequence of other digits.
That’s a very interesting use of the word “ends”.
So basically the Lemmy version of Subreddit Simulator, but allowing users as well?
Yes, absolutely. That is a concern that I too share, fellow meat being. We should be vigilant against superior, more capable, and really friendly artificial intelligences.
Even the question of “who” is a fascinating deep dive in and of itself. Consciousness as an emergent property implies that your gut microbiome is part of the “who” doing the thinking in the first place :))
So, first of all, thank you for the cogent attempt at responding. We may disagree, but I sincerely respect the effort you put into the comment.
The specific part that I thought seemed like a pretty big claim was that human brains are “simply” more complex neural networks and that the outputs are based strictly on training data.
Is it not well established that animals learn and use reward circuitry like the role of dopamine in neuromodulation?
While true, this is way too reductive to be a one to one comparison with LLMs. Humans have genetic instinct and body-mind connection that isn’t cleanly mappable onto a neural network. For example, biologists are only just now scraping the surface of the link between the brain and the gut microbiome, which plays a much larger role on cognition than previously thought.
Another example where the brain = neural network model breaks down is the fact that the two hemispheres are much more separated than previously thought. So much so that some neuroscientists are saying that each person has, in effect, 2 different brains with 2 different personalities that communicate via the corpus callosum.
There’s many more examples I could bring up, but my core point is that the analogy of neural network = brain is just that, a simplistic analogy, on the same level as thinking about gravity only as “the force that pushes you downwards”.
To say that we fully understand the brain, to the point where we can even make a model of a mosquito’s brain (220,000 neurons), I think is mistaken. I’m not saying we’ll never understand the brain enough to attempt such a thing, I’m just saying that drawing a casual equivalence between mammalian brains and neural networks is woefully inadequate.
That’s a strong claim. Got an academic paper to back that up?
This is why I strictly refer to these things as LLMs. That’s what they are.
I’m happy with the Oxford definition: “the ability to acquire and apply knowledge and skills”.
LLMs don’t have knowledge as they don’t actually understand anything. They are algorithmic response generators that apply scores to tokens, and spit out the highest scoring token considering all previous tokens.
If asked to answer 10*5, they can’t reason through the math. They can only recognize 10, * and 5 as tokens in the training data that is usually followed by the 50 token. Thus, 50 is the highest scoring token, and is the answer it will choose. Things get more interesting when you ask questions that aren’t in the training data. If it has nothing more direct to copy from, it will regurgitate a sequence of tokens that sounds as close as possible to something in the training data: thus a hallucination.
Ah, I misunderstood then, sorry. But still, even with all the investment in the world, LLM is a bubble waiting to burst. I have a hunch we will see truly world-altering technology in the next ~20 years (the kind that’d put huge swathes of people out of work, as you describe), but this ain’t it.
There’s an upper ceiling on capability though, and we’re pretty close to it with LLMs. True artificial intelligence would change the world drastically, but LLMs aren’t the path to it.
As long as the next line also has 5 spaces, that’s fine. Python only complains about inconsistency, not the exact number of spaces/tabs.
I kept reading waiting for the punch line, didn’t see one. I think I’ve fallen victim to Poe’s law. I legitimately can’t tell if this is satire.
I agree with everything you say here, but I thought the setup-payoff joke structure and the fact I intentionally swapped testing and production for comedic effect made it obvious enough. I guess Poe’s law strikes again.
Every software project, without exception, has a testing environment.
Some even have a separate production environment too.
So on the gaming front, pretty much any mainstream Linux distro would work for that. Proton is pretty damn stable and great on any distro that supports Steam. If you like Bazzite though, you do you.
For pen testing, must-have skills are nmap, bash, sqlmap, wireshark and the burp suite. If you know how to use all those, you’ve got basic coverage of most common attack vectors (password cracking is also covered by bash, there’s 101 different password cracking algorithms in various CLI spps).
I’m a lazy ass who doesn’t care much about customization, hopefully someone else can help you with that :))
A quick Google shows that someone got sharex working on Linux: https://github.com/ShareX/ShareX/issues/6531
Might take some effort and learning bash and WINE + winetricks to get that running, but hey, you’re gonna need to do that anyways for the pentest stuff :)
If you want something useful, maybe some more info on what you use your computer for? Advice for a glorified web terminal would be “Click the Firefox icon”. Advice for learning bash would be a massive rabbithole.
App suggestions are also very dependent on what you use your computer for.
Another Deezer user in the wild! Been a subscriber to it for years now.