Intel’s Q1 2025 earnings press release talked up their new AI-enabled chips. But these are not selling. [Intel] In the earnings call, CFO Dave Zinsner mentioned they had “capacity constraints in In…
One of the mistakes they made with AI was introducing it before it was ready (I’m making a generous assumption by suggesting that “ready” is even possible). It will be extremely difficult for any AI product to shake the reputation that AI is half-baked and makes absurd, nonsensical mistakes.
This is a great example of capitalism working against itself. Investors want a return on their investment now, and advertisers/salespeople made unrealistic claims. AI simply isn’t ready for prime time. Now they’ll be fighting a bad reputation for years. Because of the situation tech companies created for themselves, getting users to trust AI will be an uphill battle.
Apple Intelligence and the first versions of Gemini are the perfect examples of this.
iOS still doesn’t do what was sold in the ads, almost a full year later.
Edit: also things like email summary don’t work, the email categories are awful, notification summaries are straight up unhinged, and I don’t think anyone asked for image playground.
I’m making a generous assumption by suggesting that “ready” is even possible
To be honest it feels more and more like this is simply not possible, especially regarding the chatbots. Under those are LLMs, which are built by training neural networks, and for the pudding to stick there absolutely needs to have this emergent magic going on where sense spontaneously generates. Because any entity lining up words into sentences will charm unsuspecting folks horribly efficiently, it’s easy to be fooled into believing it’s happened. But whenever in a moment of despair I try and get Copilot to do any sort of task, it becomes abundantly clear it’s unable to reliably respect any form of requirement or directive. It just regurgitates some word soup loosely connected to whatever I’m rambling about. LLMs have been shoehorned into an ill-fitted use case. Its sole proven usefulness so far is fraud.
There was research showing that every linear jump in capabilities needed exponentially more data fed into the models, so seems likely it isn’t going to be possible to get where they want to go.
do you have any articles on this? i have heard this claim quite a few times, but im wondering how they put numbers on the capabilities of those models.
One of the mistakes they made with AI was introducing it before it was ready (I’m making a generous assumption by suggesting that “ready” is even possible). It will be extremely difficult for any AI product to shake the reputation that AI is half-baked and makes absurd, nonsensical mistakes.
This is a great example of capitalism working against itself. Investors want a return on their investment now, and advertisers/salespeople made unrealistic claims. AI simply isn’t ready for prime time. Now they’ll be fighting a bad reputation for years. Because of the situation tech companies created for themselves, getting users to trust AI will be an uphill battle.
Apple Intelligence and the first versions of Gemini are the perfect examples of this.
iOS still doesn’t do what was sold in the ads, almost a full year later.
Edit: also things like email summary don’t work, the email categories are awful, notification summaries are straight up unhinged, and I don’t think anyone asked for image playground.
Insert ‘Full Self Driving’ Here.
Also, outlook’s auto alt text function told me that a conveyor belt was a picture of someone’s screen today.
Calling it “Full Self Driving” is such blatant false advertising.
Add Amazon’s Alexa+ to that list. It’s nearly a year overdue and still nowhere in sight.
More like: capitalism reaching its own logical conclusion
To be honest it feels more and more like this is simply not possible, especially regarding the chatbots. Under those are LLMs, which are built by training neural networks, and for the pudding to stick there absolutely needs to have this emergent magic going on where sense spontaneously generates. Because any entity lining up words into sentences will charm unsuspecting folks horribly efficiently, it’s easy to be fooled into believing it’s happened. But whenever in a moment of despair I try and get Copilot to do any sort of task, it becomes abundantly clear it’s unable to reliably respect any form of requirement or directive. It just regurgitates some word soup loosely connected to whatever I’m rambling about. LLMs have been shoehorned into an ill-fitted use case. Its sole proven usefulness so far is fraud.
There was research showing that every linear jump in capabilities needed exponentially more data fed into the models, so seems likely it isn’t going to be possible to get where they want to go.
OpenAI admitted that with o1! they included graphs directly showing gains taking exponential effort
do you have any articles on this? i have heard this claim quite a few times, but im wondering how they put numbers on the capabilities of those models.
Sorry nope didnt keep a link.
The battle is easy. Buy out and collude with the competition so the customer has no choice but to purchase a AI device.
This would only work for a service that customers want or need
Ah, like with the TPM blackbox?