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No, it’s opt-in. If you do nothing you won’t have it.
Basically a deer with a human face. Despite probably being some sort of magical nature spirit, his interests are primarily in technology and politics and science fiction.
Spent many years on Reddit and then some time on kbin.social.
No, it’s opt-in. If you do nothing you won’t have it.
They’re not “pushing their Recall shit whether we like it or not”, they’re explicitly making it opt-in. They gave a fuck about their users’ complaints and made a bunch of modifications to it.
You may still not like it, but give them some credit.
Looking forward to the “Waymo robotaxis become silent killers stalking the night” headlines once the fix is implemented.
I run tabletop roleplaying adventures and LLMs have proven to be great “brainstorming buddies” when planning them out. I bounce ideas back and forth, flesh them out collaboratively, and have the LLM speak “in character” to give me ideas for what the NPCs would do.
They’re not quite up to running the adventure themselves yet, but it’s an awesome support tool.
It’s impossible to run an AI company “ethically” because “ethics” are such a wibbly-wobbly and subjective thing, and because there are people who simply wish to use it as a weapon on one side of a debate or the other. I’ve seen goalposts shift around quite a lot in arguments over “ethical” AI.
I should note, there are cryptocurrencies that also don’t use proof of work. Ethereum, the second-largest, switched away from proof of work two and a half years ago.
Replacing people with AI creates a situation where the incentive for people to make original works is greatly diminished,
Why would that be? It should be tye opposite, making VO cheaper means studios can take risks and get experimental. Basically what cheap engines have done for indie development.
A surprising number of “file formats” these days are really just zip files with a standard for the filenames and folders contained within. There’s likely a ton of wonderful secrets like these to be found in the collective dataspace of humanity.
Shush, this is an opportunity for people to dump on Microsoft, if you take it from them they’ll turn on you.
Not necessarily. Curation can also be done by AIs, at least in part.
As a concrete example, NVIDIA’s Nemotron-4 is a system specifically intended for generating “synthetic” training data for other LLMs. It consists of two separate LLMs; Nemotron-4 Instruct, which generates text, and Nemotron-4 Reward, which evaluates the outputs of Instruct to determine whether they’re good to train on.
Humans can still be in that loop, but they don’t necessarily have to be. And the AI can help them in that role so that it’s not necessarily a huge task.
It means that even if AI is having more environmental impact right now, there’s no reason to say “you can’t improve it that much.” Maybe you can improve it. As I said previously, a lot of research is being done on exactly that - methods to train and run AIs much more cheaply than it has so far. I see developments along those lines being discussed all the time in AI forums such as /r/localllama.
Much like with blockchains, though, it’s really popular to hate AI and “they waste enormous amounts of electricity” is an easy way to justify that. So news of such developments doesn’t spread easily.
Funny you should mention blockchains. Ethereum, the second-largest blockchain after Bitcoin, switched from proof-of-work to a proof-of-stake validation system two and a half years ago. That cut its energy use by 99.95%. The “blockchains are inherently a huge waste of energy” narrative is just firmly lodged in the popular view of them now, though, despite it being long proven false.
A lot of work has been going into making AIs more energy efficient, both in training and in inference stages. Electricity costs money, so obviously everyone’s interested in more efficient AIs. That makes them more profitable.
The term “model collapse” gets brought up frequently to describe this, but it’s commonly very misunderstood. There actually isn’t a fundamental problem with training an AI on data that includes other AI outputs, as long as the training data is well curated to maintain its quality. That needs to be done with non-AI-generated training data already anyway so it’s not really extra effort. The research paper that popularized the term “model collapse” used an unrealistically simplistic approach, it just recycled all of an AI’s output into the training set for subsequent generations of AI without any quality control or additional training data mixed in.
Kids these days don’t learn cursive writing, it’s destroying their literacy!
Apparently, I am. People actually want this
Thank you for recognizing this. It gets quite frustrating in threads like these about new AI tools being deployed when people declare “nobody wants this!” And I try to explain that there are actually people that do want it. I find many AI tools to be quite handy.
I tend to get vigorously downvoted at that point, as if that would make the demand “go away” somehow. But sticking heads in sand doesn’t accomplish anything except to make people increasingly out of touch.
I don’t know what you’re suggesting is going on here, those images you linked don’t work as far as I can tell. Firefox throws a security certificate error. Are you hosting them yourself and collecting IP addresses from people who click on them? If so, that’s not exactly a Lemmy-specific flaw. That’s just basic Internet 101.
We’re back to “privacy is a good thing even if it enables ‘criminals’”? Yesterday there was rather a lot of negativity towards GNU Taler and other means of transferring money privately because it enabled tax evasion and such.
It’s often not a choice between an AI-generated summary and a human-generated one, though. It’s a choice between an AI-generated summary and no summary.