Who tf is that? And deepfakes been a thing for like 10 yrs lol

Damn it Multivac! It's been 10 billion years!

> AlphaFold's goal isn't to "install proteins on his own, in real time"

Actually that's important - to have experimental validation, a signal to learn from when you have no other clue. Instead of learning from a fixed dataset, an AI could design experiments, like human scientists.

That's for February.

Keep in mind they are only faking the degree. They still have to be license. This is a separate thing and can't be faked. Without this, the person legally can't be a nurse.

I'm not saying training is bad. I just know how back logged nurse schools are and nursing degrees go way beyond medical like any other degree like I couldn't give a flying f if my nurse took art class or world religion. So it comes back down to. Can they do the job yes or no

Any case, it is likely in a number of years this won't be a problem with robotics

First off, your post and attempt deserves more upvotes, you are trying to bring the topic to people that disagree and start a discussion, even more so in a context and country where the topic isn't mainstream. For that alone you deserve praise.

Now for the points in question :

1. Neural networks aren't the end of AI research. The bet they make on the fact that no architecture will ever replace them is a bit presomptuous. And the goal of NNs is not to be trusted blindly. That's the word lacking in their reasoning.

2. That is the silliest point of them all, with respect to the people you were talking to. First of all it can be said of many technologies, just think of space travel and the amazing discoveries it brought even indirectly. But even simpler: we haven't been doing that good in the last 40 000 years. Besides, that sounds a lot like an appeal to nature fallacy:

https://en.wikipedia.org/wiki/Appeal_to_nature

3. This point is somewhat anachronistic and tautological: it of course cannot identify a problem without a human currently. Otherwise, it would be an AGI... which they say is not possible... And one doesn't need a tool to be human independent to have correct results. Some AI have been detecting breast cancer better than humans:

https://www.bbc.com/news/health-50857759

and those results were "correct" (whatever your fellows meant by "wrong result", maybe a bit lost in translation there, it's ok, i'm not a native english speaker myself). Btw, it's not even new, AI has been in use in cancer detection for the last 20 years or so.

4. AlphaFold's goal isn't to "install proteins on his own, in real time". It seems your interlocutors make the same tautology as in point 3: "it's not an AGI, therefore it cannot be an AGI"... AlphaFold isn't conceived as a magic wand that tells you 100% truth but as a helping tool to be used along with X-ray crystallography. It was intended that way. What your interlocutors hope AlphaFold to be isn't here yet.

5. The actual "learning" in university is actually quite separate from actual knowledge. Many learn some topic hard for just an exam then forget about it in a few days. Many doctors, in the example of medecine, keep learning through their career. The classical way of learning isn't as optimal as they believe it to be. Sure GPT can be abused. As any tech. But those cheater fellows won't remain in their job long if they absolutely know nothing. Hospitals won't keep them long.

It’s very hard to loop in one person into bad outcomes in a hospital system with team based care. These systems are very good at obscuring and limiting liability. I personally am not thrilled about people faking credentials who are direct responsibility for others health.

Yes, and people attribute this to ChatGPT's user friendly interface.

Character.ai's interface was user friendly, but im guessing the huge gallery of characters and overall look of the site made people not take it seriously enough to try, or some other subtle issue like that.

Altman is not a superhero. He can't take on the whole world. GPT currently are too inefficient to be the road to AGI. Maybe neuromorphic hardware and spiking neural networks can do better. AI can't really deal with all use cases right now because it needs a lot of data and the world is moving too fast. Look at ChatGPT. It is lagging the world. It is not as efficient as a search engine.

Can they do the job yes or no?

What was said in this report is there was 0 evidence of anyone that got bad treatment.

Anyways, I think in the future when we get humanoid robots we will be able to use them for basic medical. Maybe even make it where a robot or more advanced AI can remote in.

Why is that your conclusion? Don’t you want your relatives cared for by someone who is educated in the field?

There’s an in person component to step 2 which I doubt it can pass without a physical form

atrioc started a movement!

Why is everyone pretending like deepfakes are an epidemic all of a sudden? We've had this tech for five years and the world has yet to catch on fire.

Deepfakes will have to be handled at the legal/government level. They’ll have to be made illegal to possess or distribute similar to how we currently treat ch*ld-abuse images. Not much individuals can do at the moment. (Other than “hermit-mode” like you said. But who wants that right?)

If it makes you feel better tho, this will most likely happen fairly quickly once powerful people start to comprehend the true-scope of issues that this tech could cause if left un-relegated. It’s all fun and games until some congressman finds out that creeps are making deepfakes of his 11-year-old daughter. Then you’ll see both the left and the right unite on a war-path to get this type of tech under-control. So we’ll just be patient for now. Deepfakes will most likely be a temporary issue before society wakes the fuck up and comes to its senses.

The lesson you should take away is, like perception, operating in the real world will also fall to computers in the end.

OK, I think we're speeding up.

I agree, youll see mechanical helpers on site within the next decade

Doctor Jones and Doctor Who are already taken

Or enviablely Lord and Master

Construction jobs are some of the first use cases I've seen for drones in industry.

They are sluts. Just ignore them.

This is where we either lose humanity completely or finally gain it all back. Here's to hoping!

But I want spider legs

Yes there are tricks that can fool face detection softwares using deep learning based computer vision. Examples include wearing clothes with certain patterns and introducing digital noise (e.g Gaussian) in the images. Adding digital noise will not change the image for humans but for the AI (which will be unable to either recognise faces or get fooled). This will certainly confuse any GAN based deepfake software. However, this is a rapidly changing field and models are getting better everyday. So something that works today might not work tomorrow. Also new generative models based on Diffusion processes (e.g. Dall E, Stable Diffusion) may not be fooled by these tricks.