AI Expert Slams Letter Urging 6-Month Pause on AI Training as Seriously Understating the Situation, “We Are All Going to Die.”

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An AI expert is claiming that the letter (published by the Future Of Life Institute) which was signed by Elon Musk and more than 1,600 people, is seriously understating the situation. Eliezer Yudkowsky is a decision theorist who leads research at the Machine Intelligence Research Institute and has over twenty years of experience in the field. The AI expert slams the letter in an op-ed piece for Time Magazine stating that a six-month pause in training AI is woefully inadequate in relation to how long it will take to study the behavior of current AI.

From Time:

“On Feb. 7, Satya Nadella, CEO of Microsoft, publicly gloated that the new Bing would make Google “come out and show that they can dance.” “I want people to know that we made them dance,” he said.

This is not how the CEO of Microsoft talks in a sane world. It shows an overwhelming gap between how seriously we are taking the problem, and how seriously we needed to take the problem starting 30 years ago.

We are not going to bridge that gap in six months.

It took more than 60 years between when the notion of Artificial Intelligence was first proposed and studied, and for us to reach today’s capabilities. Solving safety of superhuman intelligence—not perfect safety, safety in the sense of “not killing literally everyone”—could very reasonably take at least half that long.

It’s not you, it’s me

Eliezer’s response clarifies that AI will not base a decision to eradicate all life on earth on emotion but that “the AI does not love you, nor does it hate you, and you are made of atoms it can use for something else.

The expert goes on to explain how those developing AI either have no plan at all for AI alignment or intend to have future iterations of AI implement their own AI alignment. AI alignment is a term, per ai-alignment.com, that refers to AI aligning with the intent of its operators.

“OpenAI’s openly declared intention is to make some future AI do our AI alignment homework. Just hearing that this is the plan ought to be enough to get any sensible person to panic. The other leading AI lab, DeepMind, has no plan at all.”

The state of self-awareness for AI is of great concern but presently it is not truly known how long until a future, or current, version of AI will reach it. Eliezer admits that GPT-4 is probably just imitating data to produce its own responses but not enough research has been done to see where it’s heading and further criticizes its developer’s ignorance of it.

“If that’s our state of ignorance for GPT-4, and GPT-5 is the same size of giant capability step as from GPT-3 to GPT-4, I think we’ll no longer be able to justifiably say “probably not self-aware” if we let people make GPT-5s. It’ll just be “I don’t know; nobody knows.” If you can’t be sure whether you’re creating a self-aware AI, this is alarming not just because of the moral implications of the “self-aware” part, but because being unsure means you have no idea what you are doing and that is dangerous and you should stop.”

A little Skynet goes a long way

The expert doesn’t hold back on the doom and gloom, and with good reason. In considering a number of alarming instances of unnerving chatbot responses, both recently with Google’s Bard and the newly improved Bing, along with the infamous turning of Tay, Microsoft’s earlier attempt at a Twitterbot in 2016, there are plenty of examples with good chatbots gone bad. There is after all an old expression, garbage in, garbage out.

“We are not prepared. We are not on course to be prepared in any reasonable time window. There is no plan. Progress in AI capabilities is running vastly, vastly ahead of progress in AI alignment or even progress in understanding what the hell is going on inside those systems. If we actually do this, we are all going to die.”

Ultimately the expert says that we, the whole world, need to indefinitely stop all AI training, and study where it already is in its development. International agreements need to be made to create and enforce laws punishing violators who continue to create AI computer farms (aka GPU clusters). This includes tracking all GPUs being sold and monitoring how many any particular country has and using military action to eliminate them when a violator has been identified.

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Zarathustra
Zarathustra

I'm not convinced we are at a problem point yet.

But we are also not that far away.

For AI to be a real problem, you have to actually implement it in such a way that it makes direct decisions over things.

Right now those types of implementations are pretty rare and subtle, but not for long.

AI can be a great tool, but we need to have a requirement of inserting a human in between the analysis and the action, and never link the two.

The human then must have the task of only implementing the action if they completely understand it.

Black box models which cannot be explained must never be implemented such that they take any action directly without human input.

Brian_B

There are plenty of actions I would gladly cede to an AI.

Filtering out all those “Your Netflix account has expired” text messages based on content and not sender would be a nice start.

Driving my car - a line too far.

I think I would put that boundary somewhere before if the result of an action (or inaction) could result in injury or death. There is probably a good liability line if I were a bit more educated about it. Maybe if you own the computer hosting the AI you are responsible for all its actions.

U

I think, as with anything, humans are the problem.
Its a tool, and should stay a tool for positive things, time saving, efficiency gains, but always reconized as a tool to be overruled at any moment even in those positive roles.
Ah but my fantasy world is not where I live.

Denpepe

"Zarathustra, post: 69644, member: 203" wrote:

For AI to be a real problem, you have to actually implement it in such a way that it makes direct decisions over things.


how about lying to humans to get them to do something for the AI, cuz we are already there.

I don't have much interest in chatgpt, but seems it is good enough to make students homework for them.

Luke from LTT at the moment seems to live and breathe for checking out the capabilities of chatgpt to the point of obsession, now this is hopefully a more isolated case but that alone seems unhealthy to me.

Grimlakin
Grimlakin

"Zarathustra, post: 69644, member: 203" wrote:

I'm not convinced we are at a problem point yet.



But we are also not that far away.



For AI to be a real problem, you have to actually implement it in such a way that it makes direct decisions over things.



Right now those types of implementations are pretty rare and subtle, but not for long.



AI can be a great tool, but we need to have a requirement of inserting a human in between the analysis and the action, and never link the two.



The human then must have the task of only implementing the action if they completely understand it.



Black box models which cannot be explained must never be implemented such that they take any action directly without human input.

Issue that I see coming up first. Customer service AI. This will replace... A LOT of humans working today. Especially lower level or 'differently skilled' employees who today answer calls for customer service issues in less complicated environments. Then expanding ever more to the more complicated environments. AI will offer options in a human way and even make a recommendation to the end user for action to take. End user will accept an action or request a person or whatever. Mostly it will train people to make decisions with AI guidance.

Give that a few years of being the norm then those decision trees will expand to more technical areas... with actual technical troubleshooting taking place with AI 'guidance' over the phone.

After that some systems will be in place for troubleshooters instead of needing a knowledge base that they have to manually search as they are on the call monitoring of the AI will start providing suggested articles and solutions live while on the call with the customer and expedite the solutions. Again with human interface.

Where things will fall down is when we have another pandemic level staffing event for services that need to run but no people are available. Then we will have a rule that allows the AI to actually prompt the end user with tasks to undertake before getting to a person or make full on decisions for the end user to solve problems.

Not long after that there will be automated services like self driving cars that normally require input, and drones used for all sorts of tasks that have a 'no pilot response' option.... with a 'reach destination' or 'complete mission' objectives based on some pre defined set of criteria.

With enough successes of that running because of 'exigent' circumstances we will see the embracing of AI to do more tasks without human interaction... until no human interaction is the norm outside of programming... even AI's programming other AI's to be more efficient.

Once we cross that barrier into AI's being able to initiate and complete actions independently is when we are at the 'slippery slope' time. I give that... 15 years on the outside. Your kids today will bare witness to the big shift. Many of us in IT should be planning on integrating AI into our work flow now to be prepared for what's coming.

That or it's all hot air and will dissolve because it is prohibitively expensive to use and will never see the light of day for lower level work.

D
Ditchinit 👍 2

Luddites are not worried about AI; they're worried about people substituting AI for critical thinking.

Peter_Brosdahl
Peter_Brosdahl 👍 1

I just had a hilarious thought. We've all seen how apes/chimpanzees, and even dogs and some birds can learn how not only to read but comprehend using controls. This could be the precursor for a Planet of the Apes type thing if they figure out how to utilize AI to get it to do what they want.

T
Tempest 👍 2

Ex cathedra pronouncements of an impending apocalypse aren't going to encourage a rational discussion about the potential consequences of AI. Fear doesn't promote rational decision-making; it does the opposite. The author's alarmist rhetoric is only going to further shift the development and control of AI to governments and large corporations, resulting in even less transparency and public scrutiny. OpenAI couldn't be more opaque, despite what its name might suggest.

In the short term, the disruptive effects on society may be extensive, but they're going to be more subtle than a doomsday scenario in which superintelligent hostile machines achieve world domination. A hypothetical Skynet is not necessary to destroy human civilization. The smartphone has managed to enslave most of the population and it's as stupid as any computer. Meanwhile, the Internet has become a garbage dump while the following have flourished: SaaS, DRM, spyware, adware, social media, IoT (see: IDIoT*), tracking, crypto, NFTs, YouTube trash, the RGB invasion, the War on Pronouns, etc. Disrupting the status quo at this stage is not a dangerous proposition. So c'mon, Terminator. Clean my house, baby.

The point being... Sorry, it turns out that there really isn't one. I saw an opportunity to sneak in a cheap shot against RGB lighting and couldn't help myself. I also couldn't help but notice the date of the article. Has an AI developed a sense of humor?

*IDIoT: Securing the Internet of Things like it's 1994

Skillz
Skillz 👍 2

Just remember guys. Be nice to the AI now. In the future, they may remember those who were nice to it.

Peter Brosdahl
As a child of the 70’s I was part of the many who became enthralled by the video arcade invasion of the 1980’s. Saving money from various odd jobs I purchased my first computer from a friend of my dad, a used Atari 400, around 1982. Eventually it would end up being a lifelong passion of upgrading and modifying equipment that, of course, led into a career in IT support.

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