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They have multiple contracts in the military sector.
For example: datacenterdynamics.com/…/google-wins-200m-contrac…
You should also stop using Google products for similar reasons.
“Kill switch” – oh the drama. Let’s call every simple toggle ‘kill switch’ from now on.
We don’t touch that unless we really know what we’re doing.
Don’t argue with crazy. Those people need help, not a rational discussion (which they are not capable of).
Movies: “What? You’re making robots? But what if they become evil?”
Me: “No, actually you can prevent that easily by…”
Movies: “Ghost in the machine! Bugs! Hackers! Robot becomes self-concious and disables its safeguards! Evil!”
Me: “Our robots are not even that advanced. Also you can easily add an off switch and…”
Movies: “They’ve bridged their off-switch! Terminators kill all humans now. All robots become evil!”
Me: "Whether they become evil or not depends on how you implement it and also … "
Movies: “Evil robots! More evil robots! The downfall of humanity!”
Every. Damn. Movie. For once I would like to see a movie with robots that don’t turn into mindless “cuz evil” killing machines. It’s really annoying how widespread the fearmongering about robots is in movies.
Also, why the fuck do all robots have the worst possible speech synthesizers ever? Heck, even the announcements in subway trains and buses have better natural sounding computer voices than robots in movies.
Trees going through puberty be like:
Shower heads must be a nightmare.
Artificial intelligence, like any intelligence, has goals and priorities
No. Intelligence does not necessitate goals. You are able to understand math, letters, words, meaning of those without pursuing a specific goal.
Because it’s not AI, it’s sophisticated pattern separation, recognition, lossy compression and extrapolation systems.
And our brains work in a similar way.
I’m willing to debate the potentials of AI again once they manage to do that without those “benchmarks” getting special attention in the training data.
You sound like those guys who doomed AI, because a single neuron wasn’t able to solve the XOR problem. Guess what, build a network out of neurons and the problem is solved.
What potentials are you talking about? The potentials are tremendous. There are a plethora of algorithms, theoretic knowledge and practical applications where AI really shines and proves its potential. Just because LLMs currently still lack several capabilities, this doesn’t mean that some future developments can’t improve on that and this by maybe even not being a contemporary LLM. LLMs are just one thing in the wide field of AI. They can do really cool stuff. This points towards further potential in that area. And if it’s not LLMs, then possibly other types of AI architectures.