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Apple is struggling to become an AI powerhouse

washingtonpost.com

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Re: Apple is struggling to become an AI powerhouse

#221

Post by e28eta »

starchild3001 wrote: post #133

This article ticks me off. Apple announced some really good features on Monday (CoreML and a bunch of ML driven features). Having this kind of article after WWDC is unfair. As a consumer, I applaud Apple's approach. The so-called AI as pursued by Google & other tech companies isn't AI at all. True AI won't need as much data. You do need data for Machine Learning (i.e. pattern matching). That's what other tech firms a…

Something Apple highlighted a couple times, and I think is relevant, is that since CoreML runs on the device, it works offline. More importantly, that's also what enables real time video analysis.

It may not be decisive, but it's worth remembering that there are benefits (other than privacy) to their approach.

Re: Apple is struggling to become an AI powerhouse

#223

Post by foobarian »

__jal wrote: post #171
s73ver wrote: post #94

Earlier quoted context omitted.

"[1] I'm becoming less of a fan, as MacOS becomes "cloud aware" and less of a Unix workstation." How is it becoming less of a Unix workstation? It can still do all the Unixy stuff it could before.

What I mean is twofold: - They're paying much less attention to the "Unixy stuff" than they used to. Old versions of common things take forever to be updated. Compatibility has always been shit, but it is getting worse. SIP means a number of things I tend to modify, can't be, without hassle[1]. - With a workstation, I expect to be able tailor it specifically to my work requirements. This is becoming increasingly diff…

I wish I could get the equivalent of 'xset r rate 160 80' on a Mac. And about that Alt-Tab behavior...

Re: Apple is struggling to become an AI powerhouse

#224

Post by Spooky23 »

derialstrazus wrote: post #138
CaptSpify wrote: post #92

Earlier quoted context omitted.

How do you have control over the former? Data is being gleamed about you even if you aren't using their products, and it's being used by companies you haven't authorized all the time.

Our legal structure needs to catch up and punish companies who use data that we did not authorize. Data should be seen as personal property.

That will never meaningfully happen, because it is contrary to third party doctrine and would make it impossible to do business with people.

If you tell me that you like bananas, and I bring you bananas, I'm not being unethical. The problem with online services is that you're baring your soul to the eye of sauron without realizing what it means. The only way to win is not to play.

Re: Apple is struggling to become an AI powerhouse

#225

Post by jpttsn »

naravara wrote: post #124
old-gregg wrote: post #66

Earlier quoted context omitted.

You are making two assumptions that aren't necessarily true. First, you're assuming that you have control over what kind of information is being collected and shared, and you're assuming it's always good for you. Here's a fairly innocent scenario: if Amazon Echo can learn everything about you, they may discover that you're crazy about Paris and you have good income. Then they can sell this info to every travel websit…

>But generally speaking, we take advantage of information asymmetry all the time: Sure we do. But this is generally regarded as a bad thing and indicative of a failure in our commercial system to engender fair outcomes. Informational asymmetries aren't things we should be actively involved in exacerbating.

I think that's just something we tell each other so the children can sleep at night.

Of course we exacerbate information asymmetries. That's what we do. That's why the neanderthals are in our museums, instead of the other way around.

Saying we shouldn't is like saying birds shouldn't fly, because it's not fair to the fish.

Re: Apple is struggling to become an AI powerhouse

#226

Post by rdslw »

__jal wrote: post #171
s73ver wrote: post #94

Earlier quoted context omitted.

"[1] I'm becoming less of a fan, as MacOS becomes "cloud aware" and less of a Unix workstation." How is it becoming less of a Unix workstation? It can still do all the Unixy stuff it could before.

What I mean is twofold: - They're paying much less attention to the "Unixy stuff" than they used to. Old versions of common things take forever to be updated. Compatibility has always been shit, but it is getting worse. SIP means a number of things I tend to modify, can't be, without hassle[1]. - With a workstation, I expect to be able tailor it specifically to my work requirements. This is becoming increasingly diff…

That resonates well with myself (similar) experience.

The very same omnifocus problem solution:

* shorterm for migration: omnifocus on ipad

* longterm: trello - it will be slightly different, and you have to come with your own GTD system for it, BUT surprisingly the differences allow me to get fresh and new approach to GTD. it's worth.

as a bonus: you can check taskwarrior instead.

I tried every other software, but it sucked, meaning got some problems. IMO only trello or taskwarrior _might_ (still in the process) do.

Re: Apple is struggling to become an AI powerhouse

#227

Post by chongli »

jlebar wrote: post #179
AndrewKemendo wrote: post #168

Earlier quoted context omitted.

Depends on whether you believe healthcare should be treated the same as other products in the marketplace, or if you think they are a public good.

I am trying to understand what you mean by "public good". It's not the formal economics meaning ( https://en.wikipedia.org/wiki/Public_good ), because healthcare clearly is excludable and rivalrous. The notion of a "public good" also isn't about how things should be treated, but more about how things necessarily are . It sort of seems you're making an argument unrelated to economics here, even though it's using words…

The problem with healthcare is that it's often not negotiable. Let's say you're a billionaire in a world with zero privacy. You get cancer. One company owns the patent on the drug you need to survive. Is it okay for them to charge you a billion dollars for treatment?

Re: Apple is struggling to become an AI powerhouse

#228

Post by koko775 »

Osmium wrote: post #18

On a technical point, I was impressed by their CoreML model format. The specification is open, optimized for maximum transferability, it can convert models from Keras (with TensorFlow), scikit-learn and others, and their Python model converter is also open source: https://pypi.python.org/pypi/coremltools Once you have your model as a CoreML file, it is stupidly simple to incorporate it into an app (the live demo with…

In what sense? caffe2 has been able to run models trained elsewhere for a long time already. Do you mean it in the sense that the mobile platform has a standard that will rally a larger community behind common models?

Re: Apple is struggling to become an AI powerhouse

#229

Post by thadk »

Does anyone have details on the AIKit & Apple CNN for AMD graphics cards? This was previously the exclusive territory of Nvidia and this week, Apple promised expanding that for the other half of discrete graphics cards. Will there be Python APIs?
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