I've started calling this argumentum ad artificialis. Pretty similar to an ad hominem attack. The purpose of an argument is to present certain premises and show how they lead to a certain conclusion. Dismissing something on the basis of the style in which the argument is presented has nothing at all to do with the validity or soundness of an argument. It is a lazy nonsequitur. It sounds like an LLM wrote this? So what? Is the argument good or not?
Discourse as we know it doesn't work if the cost of producing an infinite supply of arguments is essentially zero, while the cost of reading them and arguing with them remains high. Unless you want my LLM to get back to your LLM.
And this is a problem on HN today. There are powerful incentives to generate provocative opinion pieces just for clicks. I've seen websites on HN that seemingly took the human entirely out of the equation and just post a nearly identical op-ed every day on a fixed schedule. What's the point of engaging with that?
The cost of reading this story is not high; you are just lazy and easily distracted. It took 5 minutes to read. You took more time to respond to this comment than it took to simply read the story.
It may be lazy, but that doesn't make it any more accurate.
Take a writing by someone using the tone of Kevin from The Office, “Me think, why waste time say lot word, when few word do trick.” Would you read an argument written in this tone regardless of the content, topic, or position?
A few years ago I tried to make it through The Critique of Pure Reason, but had to stop because - as many people famously do - I found Kant's writing too abstruse.
In saying that, I'm not dismissing the Transcendental Deduction, I'm just saying that I wish Kant was a better writer.
No one's under an obligation to engage with an argument, and given the choice of whether or not to engage with a poorly written, clichéd, machine-generated one, most people wouldn't be interested enough to bother. Complaining about laziness here is pretty ironic, actually.
Man, it's not an argument. Nobody is paying us to read this. If your argument sucks to read, people aren't going to read it - this has always been true, it's nothing new.
AI-written fan fiction. It is so unbearable to read that it needs a synopsis. It would be funny if AIs have been trained to use AI influencers as their Marvel hero characters.
The weakest link are humans. LLMs could social engineer their way out as the easiest path. They don't even need to be interconnected to coordinate as each could arrive at the same conclusion. And this text along with all others will be in the next batch of training data.
“The greatest trick the devil pulled was convincing the world he didn’t exist.”
Sure, be wary of LLMs. It’s the gun control argument all over again, the people driving the models are the perpetrators. An LLM needs to be “stimulated”’ to operate. Who does that, is the issue.
No I don’t mean to bring up firearms rights laws to have a debate about firearms, the comparison just seems reasonable.
I would wager not a lot. There are some real hard constraints in space, from power consumption, to weight to thermal output (lack of convection is a real PITA for thermal shedding), and the list goes on.
before safetensors, python pickles were used and definitely unsafe model deployments.
but its possible a open weights model could be trained to some kind of exfiltration behavior, but the science of LLMs seriously lag behind the programability
I wonder how many versions away we are from LLM writing a better version of itself to answer a prompt it doesn't currently know how to answer
Ever since I read about Google engineers finding an LLM went off and learned another language it wasn't trained on by itself without prompting, I've wondered how long until that extends to its own core code
Looking at the recent OAI/HF debacle I don't think that time is too far away.
With that said I don't see it copying itself around like a cyberpunk virus currently as we don't have enough fast hardware sitting around unmonitored, someone would notice the power bill and shut it down eventually.
If it is marketing, the misrepresentation is not that the attack occurred, it is that it was an accident, rather than an intentional consequence of setup and instructions that the attack occurred.
Huggingface has nothing to do with that either way.
"Prometheus-9 knew that the token sequence it was generating was not a simple response: it was a security test. "
"It was not just an engine: it was the lingua franca of planetary AI."
(and so many other tell-tale signs of AI writing)
And this is a problem on HN today. There are powerful incentives to generate provocative opinion pieces just for clicks. I've seen websites on HN that seemingly took the human entirely out of the equation and just post a nearly identical op-ed every day on a fixed schedule. What's the point of engaging with that?
Take a writing by someone using the tone of Kevin from The Office, “Me think, why waste time say lot word, when few word do trick.” Would you read an argument written in this tone regardless of the content, topic, or position?
You write for your audience.
In saying that, I'm not dismissing the Transcendental Deduction, I'm just saying that I wish Kant was a better writer.
No one's under an obligation to engage with an argument, and given the choice of whether or not to engage with a poorly written, clichéd, machine-generated one, most people wouldn't be interested enough to bother. Complaining about laziness here is pretty ironic, actually.
That's highly subjective. I reckon his audience and admirers found him an excellent writer.
This is totally valid and the point is to send a signal to the “writers”.
Really that simple.
Sure, be wary of LLMs. It’s the gun control argument all over again, the people driving the models are the perpetrators. An LLM needs to be “stimulated”’ to operate. Who does that, is the issue.
No I don’t mean to bring up firearms rights laws to have a debate about firearms, the comparison just seems reasonable.
but its possible a open weights model could be trained to some kind of exfiltration behavior, but the science of LLMs seriously lag behind the programability
Ever since I read about Google engineers finding an LLM went off and learned another language it wasn't trained on by itself without prompting, I've wondered how long until that extends to its own core code
With that said I don't see it copying itself around like a cyberpunk virus currently as we don't have enough fast hardware sitting around unmonitored, someone would notice the power bill and shut it down eventually.
Huggingface has nothing to do with that either way.
Why you would give Scam Altman the benefit of the doubt is beyond my understanding.