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There is no "godfather of AI". That is a title given by media when they pull out some old man to scare everyone with. The media are corporate lackeys who hate you working people. They hate you deeply so it is entertaining for people with no life skills to scare you skilled people with "AI".

That "godfather" above was recently interviewed on another YouTube channel making a fool of himself. He tried to demonstrate a chatbot that failed badly and then viewers noticed the "godfather" can barely type on a keyboard.

Hinton is a complete and utter banana 🍌.

The problem with AI is not that it’s going to take over and kill us all or that it’s going to enslave us.

The problem is stupid and/or dishonest humans lying about capability, destroying the economy, environment and society through the ability for it to massively accelerate bad things that we already do and drive money into the wrong ****ing hands again.
 
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Siri had a couple employees and was novel and very immature, Anthropic has improved their product dramatically with the main pain point being usage limits, there is already demonstrable value and even preference especially among developers.

I do actually agree and think apple could go a long way towards solving their AI woes by buying companies like Anthropic, I'd suggest perplexity too since traditional search is also going the way of AI. BUt that's another 50-60 billion dollar company and apple aren't goign to do it for all the reasons i outlined.
 
I've said it before and I'll say it again: Meta is being dumb here. Soon AI development is going to become commonplace and everyone will know how to do it. Also, Meta could have the best AI available but people won't use it because Meta is horrible. This is the biggest waste of money ever.
Wrong. AI is not just about fooling the dumb Facebook masses or the vast majority of passive content consumers that make up the bulk of this planet’s computer users. It’s about reducing their own HR headcount to as close to zero as possible and to have a sophisticated enough AI to compete with OpenAI, Claude and Palintir for Military, Intelligence gathering and other government contracts. There’s no money to be made by students cheating on essays and homework or for making AI slop artwork and videos. It’s all about capturing huge, long term governmental and military contracts. Apple is not into that. And therefore sees no sense in forking out insane money like Facebook. But 200 million for one guy if that guy can help land a deal with the DoD that nets 10s of billions over the next 10-15 years? Thats money well spent by Meta.
 
Multiple engineers are reportedly actively interviewing for jobs at other AI companies, while Apple executives are aiming to reassure team members that it remains committed to in-house AI development.
Maybe the Apple engineers are hearing things about Apple's overtures to outside AI companies that are more confirmed than Apple wants them to believe.
 
I do actually agree and think apple could go a long way towards solving their AI woes by buying companies like Anthropic, I'd suggest perplexity too since traditional search is also going the way of AI. BUt that's another 50-60 billion dollar company and apple aren't goign to do it for all the reasons i outlined.
If Apple is considering buying one or more companies like Anthropic or Perplexity, it must have taken into account that the cost would be much higher than if they'd increased the pay to the engineers they lost to Meta, so maybe they estimated that it would take too much time for those engineers and the others in Apple's internal team to develop competitive AI, and that buying outside resources would get the job done a lot faster, fast enough that it might pay for itself in not too many years.

It would seem that if the engineers Apple has lost to Meta had been capable of creating AI that's competitive with what companies outside Apple have created, that they'd have already done so, unless Apple has been drastically hampering their efforts for some reason.

It's also possible that Apple couldn't figure out how to justify preferentially massively increasing the pay to only certain members of their AI team, without raising the ire of the rest.
 
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Maybe the Apple engineers are hearing things about Apple's overtures to outside AI companies that are more confirmed than Apple wants them to believe.
That is believable. Another thought is they see what a cluster f*** Apple's AI efforts are and are gladly jumping ship.
 
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I asked Gemini on my Fold 7 what type of grass I have in our new rental property. She said "Send me a photo so I can take a look" sent her a photo, and she immediately described what it was, how to care for it, etc.....did the same on my iPhone.....Siri "I'm sorry I can't do that, here are a few links to what grass is"....It's absurd the biggest tech company in the world is so far behind on this technology....but wait.....for our next "innovation" we'll add another button!!!
I mean you do realize that you can do the same thing with any AI app on the iPhone right?

And if it did that on your iPhone and that was the output you probably don't have a newer iPhone, because visual intelligence on my iPhone is great. It's completely integrated with ChatGPT and it can't be much different than Gemeni on android. Is Gemini > ChatGPT? That's a completely different debate.

IMG_3218.png

Obviously Apple has a long way to go but Siri is definitely much better with ChatGPT integrated and I really haven't had any issues with it (and I'm definitely an AI power user).
 
I asked Gemini on my Fold 7 what type of grass I have in our new rental property. She said "Send me a photo so I can take a look" sent her a photo, and she immediately described what it was, how to care for it, etc.....did the same on my iPhone.....Siri "I'm sorry I can't do that, here are a few links to what grass is"....It's absurd the biggest tech company in the world is so far behind on this technology....but wait.....for our next "innovation" we'll add another button!!!
Serious question — do you know if it was actually correct, or did it just pick some random type of grass and tell you about it? Did you do anything to verify the answer?
 
Well, how do you think the "average" FB employee feels about people being hired for that amount of money that is thrown around here? Or say, a director that has been at FB for years is now getting a peer that allegedly make 50 times what he/she makes?
What Zuck is doing is very dangerous ground for employee satisfaction imho ...
So I'm not sure how Apple really should respond/react here tbh
Some companies in Silicon Valley have earned a reputation for predatory hiring practices. The idea is that sometimes you pay more for people to keep them out of other companies' hands, even if you can't make full use of them or get back your investment directly.

Early mover status has a real economic advantage in many cases, especially in a new field ripe for patents and subsequent licensing fees or barriers for new entrants. So it may be worth quite a bit to keep Apple behind or stumbling. Back in the 90s, there were several tales in the cyberpunk genre with plot points involving scientists or engineers who were either kidnapped or murdered to protect or overturn this sort of advantage. I thought the threat was exaggerated at the time, but we may be getting there, especially as the investments involved get so huge.
 
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If Apple is considering buying one or more companies like Anthropic or Perplexity, it must have taken into account that the cost would be much higher than if they'd increased the pay to the engineers they lost to Meta, so maybe they estimated that it would take too much time for those engineers and the others in Apple's internal team to develop competitive AI, and that buying outside resources would get the job done a lot faster, fast enough that it might pay for itself in not too many years.

It would seem that if the engineers Apple has lost to Meta had been capable of creating AI that's competitive with what companies outside Apple have created, that they'd have already done so, unless Apple has been drastically hampering their efforts for some reason.

It's also possible that Apple couldn't figure out how to justify preferentially massively increasing the pay to only certain members of their AI team, without raising the ire of the rest.

And that's exactly why they're in the state they're in.

They have a bean counter for a boss who baulks at the price of these companies, and thinks i can just have my engineers build something comparable.

Except that they don't.

Ontop of that they've got executives like Federighi & Joswiak rebuking legitimate criticism about apple intelligence during an interview by saying garbage like "oh there's lots of types of AI and we're not trying to compete in that type of AI"
If they're at a point where they have to justify mediocrity, then mediocre is what they'll be.


What they honestly need to do, is buy up one or multiple of these companies. Go to them, give them a blank check and say "delight us", and then keep their nose out for 12-18 months
 
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Hinton is a complete and utter banana 🍌.

The problem with AI is not that it’s going to take over and kill us all or that it’s going to enslave us.

The problem is stupid and/or dishonest humans lying about capability, destroying the economy, environment and society through the ability for it to massively accelerate bad things that we already do and drive money into the wrong ****ing hands again.

100%

That's why LinkedIn should be banned for a while or penalised with the biggest fines a company will ever pay. It's 4chan for adults going wild in the business world and messing up the minds of important decision makers. Many of the influencer and "top voice" accounts on that site are fake and are a psyop.
 
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The BOD defines what the company is supposed to do. Your opinion on whether the current strategy is ruining the company, for better or worse, is irrelevant as long as the BOD is happy.
Not true. The shareholders define happiness by results. Crook got them by shafting everyone who isn’t a shareholder or executive.
 
What I want to know is when is AI going to be used to create medicines because it should make the medicine so much cheaper having one AI bot create it rather than a team of 50-100 or more human researchers and scientists.
The majority of the cost in developing new drugs is not the team of scientists in their labs, it's in the extensive trials that have to be conducted afterwards before the new medicine is allowed on the market.

I wonder the same thing about this "30% of new code is written by AI". As long as this is "glorified code completion" then it's probably fine, but the majority of cost in code is in its maintenance, not its development. But then again, maybe in five years an AI can be prompted with "hey this recent platform update broke your old code, fix it."

In my experience, the current state of AI coding is "if a junior intern could cobble something together with datasheets and StackOverflow, then an AI probably could do a similar job."
 
Serious question — do you know if it was actually correct, or did it just pick some random type of grass and tell you about it? Did you do anything to verify the answer?
HaHa it's funny you ask that actually! That same day I had a local gardener/weed expert come by to take care of the problem and while we were there he gave me the history of the type of grass/weeds that are prevalent in this area! Gemini was spot on. I'm not just saying that to prove a point, although Siri is absolutely horrendous, but the fact that Gemini was even able to correctly analyze what I was asking through a picture and be thorough with the answer was fantastic!
 
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I mean you do realize that you can do the same thing with any AI app on the iPhone right?

And if it did that on your iPhone and that was the output you probably don't have a newer iPhone, because visual intelligence on my iPhone is great. It's completely integrated with ChatGPT and it can't be much different than Gemeni on android. Is Gemini > ChatGPT? That's a completely different debate.

View attachment 2533124

Obviously Apple has a long way to go but Siri is definitely much better with ChatGPT integrated and I really haven't had any issues with it (and I'm definitely an AI power user).
If alllll of what you say is true, then why can't Siri AT THE VERY LEAST know when I tell her to turn the lights on or off or ask her a simple task to do? That is Apples AI. That's not Siri reaching out to ChatGPT as a client. That's easy to do, have your stuff reach to better stuff. Siri is abysmal. ChatGPT/Gemini is not.
 
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I don’t get it at all. What revenue is Meta going to drive out of AI?
Zuck is betting on AI taking over. Having most advanced tech then would be basically a money printer.

He might not be wrong. Considering how good the models are getting this fast, he could fire like 90% of FB IT staff in a couple of years, would more than make it up. And sell LLM services for even more.
 
Zuck is betting on AI taking over. Having most advanced tech then would be basically a money printer.

He might not be wrong. Considering how good the models are getting this fast, he could fire like 90% of FB IT staff in a couple of years, would more than make it up. And sell LLM services for even more.

Lets be clear here. Zuck is betting on his own bias that he will succeed at this, that society will accept it and that it will be beneficial to enough people that they will pay for it. His track record says otherwise, general public opinion is shifting now it is seen as putting people out of work and there isn't a working financial model yet based on the ROI and retention figures.

----

Prediction

Fact:
The ROI from investment on this is not showing up at all and behind the scenes the private equity firms bankrolling it have started moving capital out to make positions for the hype investors to buy the risk out. They are out.

Opinion: What I expect will really happen is there will be a capital crisis within the next year. The general direction of things at the moment is pretty awful and that makes people hold on to money rather than make risky investments. When it's individual investors bankrolling the markets and they are bearish due to political instability, worries about work and war etc, there will be no more capital available unless you're a long term stable low-risk investment. Targets will be missed, investor confidence will decline and it'll snowball into a tech stock crash. Because all the major ETF constituents are tech stocks it will wipe everyone's "secure" personal investments out at the same time which will damage market confidence further.

Really the whole idea of technology that can replace humans being paid for by individual investors is a ridiculous self-sabotaging intellectual paradox that will not work.

FB / Microsoft / OpenAI / Anthrophic / Google / xAI will be dead with no capital to fund further research and model training. NVidia will suffer a huge demand drop and have to crawl to TSMC to go back on previous capacity demands. GPU providers will have datacentres full of dead hardware because there is no margin any more. All the AI infra projects like new datacentres will pause causing a secondary crash in the construction market. Everyone will go back to cutting margins and there will be a lot of overpaid AI researchers suddenly needing jobs, because after compute, they are the most expensive thing.

Microsoft will inevitably do the wrong thing here. They went all in on CoPilot assuming that they could make it successful. They will can a major ancillary product to push this down the line a bit more which will cause a major marketing fallout. This will destroy their value and the executives will be replaced.

Normality will resume by 2027. Apple will have a mediocre hardware based solution which while not particularly good, will actually be sustainable as it won't rely on multiple third parties who collapsed from the hype. It may not even be LLM based, at least as they exist now. That will slowly evolve into something mostly useful by 2029-2030. It won't replace jobs or humans but it will glue a lot of disparate things together reasonably well. At that point it'll be commoditised. Some other vendors will have minor traction in specific AI markets as a whole but there won't be much in the way of LLMs left that weren't frozen in time in 2026 thus declining in utility. Technology companies will be focused on trying to find some other way of generating growth while avoiding the new investment regulations brought in by the 2026/2027 crash.

In 20 years everyone will wonder what the hell the CoPilot button was for on PC keyboards they find in the trash while complaining that they Microsoft rewrote their photos app 5 times in the last couple of decades and it still doesn't work.
 
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Zuck is betting on AI taking over. Having most advanced tech then would be basically a money printer.

He might not be wrong. Considering how good the models are getting this fast, he could fire like 90% of FB IT staff in a couple of years, would more than make it up. And sell LLM services for even more.
So who’s going to have the money to buy all these products and services if the robots take over?
 
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Lets be clear here. Zuck is betting on his own bias that he will succeed at this, that society will accept it and that it will be beneficial to enough people that they will pay for it. His track record says otherwise, general public opinion is shifting now it is seen as putting people out of work and there isn't a working financial model yet based on the ROI and retention figures.

----

Prediction

Fact:
The ROI from investment on this is not showing up at all and behind the scenes the private equity firms bankrolling it have started moving capital out to make positions for the hype investors to buy the risk out. They are out.
Agree for small non-frontier model companies, they are never getting off the ground and staying there long-term unless someone acquires them. ROI doesn’t matter to half of the large players and China is already putting out conservatively 300% more research than the west which will continue to drive demand for even older hardware for years.
Opinion: What I expect will really happen is there will be a capital crisis within the next year. The general direction of things at the moment is pretty awful and that makes people hold on to money rather than make risky investments. When it's individual investors bankrolling the markets and they are bearish due to political instability, worries about work and war etc, there will be no more capital available unless you're a long term stable low-risk investment. Targets will be missed, investor confidence will decline and it'll snowball into a tech stock crash. Because all the major ETF constituents are tech stocks it will wipe everyone's "secure" personal investments out at the same time which will damage market confidence further.
There’s too much cash on hand for this to materially matter that soon. Everyone always tends to predict doom for the near-term and while it occasionally happens it is transient. Elon and Zuck will fund AI at any cost for a couple years at least, they don’t care about share price since they have controlling interest in their companies, e.g. no one can force them to change their mind.
FB / Microsoft / OpenAI / Anthrophic / Google / xAI will be dead with no capital to fund further research and model Normality will resume by 2027.training. NVidia will suffer a huge demand drop and have to crawl to TSMC to go back on previous capacity demands. GP
Meta and xAI are beholden to no one. Zuckerberg has independent majority control and xAI doesn’t even have public shareholders. They are going to chase this down at least until world models are proven or disproven which will take 5ish years.

Google will pivot to ads eventually, OpenAI is going to launch a browser. Google has half a BILLION users of Gemini as of this summer. It has absolutely crossed the threshold to be something that will exist for a long time and ironically a lot of the most tech-savvy people are the ones who are the most willfully ignorant about this fact. It took me a while to come around, too.
Normality will resume by 2027.
…2026/2027 crash.

In 20 years everyone will wonder what the hell the CoPilot button was for on PC keyboards they find in the trash while complaining that they Microsoft rewrote their photos app 5 times in the last couple of decades and it still doesn't work.
I’lll take that 2027 bet.

Will send you a dollar if you’re right, feel free to @ me in January 2027 if the AI trend completely collapses. :)


I think there is a fairly reasonable chance that within 2 years a single frontier model will be useful for ~3x longer than they last currently and it will financially pencil out then because the cost is in heavily front-loaded in training. They will create even more expensive tiers for cutting-edge and keep regular people on the old version for longer periods of time once the arms race settles down a little.

The market is probably going to tighten but it won’t collapse. There is undeniably utility in these tools as they are today, and like I said above many technologists who used ChatGPT a year ago are woefully out of date with current capability and utility. Just opening up internet search dramatically improved things since they can source other data, and the models connected to realtime data (e.g. Grok 3) have benefits in a day-to-day way that no model a year ago could.

Anyone who is grouping this all together as one “mass” of ill-fated technology is ignorant, whether willfully or not. It doesn’t mean I endorse the existence of these things but they are here to stay and have achieved critical mass. The internet did a lot of harm (and good) for society. We will see how truly next generation technology pans out.

I’m not a blind AI booster, I use every major model regularly along with local ones occasionally that I alter parameters to check on output strength and coherence. The field is evolving rapidly, and a lot of the takes about this technology are emotionally driven, not rationally.

I do personally think Anthropic should find a buyer at their current valuation if possible, and whoever gets them will have made a pretty wise investment, if they can be competently managed which is a whole different hurdle (e.g. copilot).
 
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