j32fun

Musk is definitely trying to achieve something that many entrepreneurs would be shy to even attempt. I'm rooting for him, despite feeling that his business model is inherently difficult. I think net-net, he definitely adds to society with his vision and the sheer fact that he tries to do what practically every one thought would not be possible. If anything, it inspires other would-be inventors and entrepreneurs to continue pushing.

How would this affect larger sites like Facebook or Reddit?

For those who want to skip to the conclusion of this confrontation, the commissioner was asked to resign from the port authority after an internal investigation by the port authority regarding her behaviour. She was formerly the head of the Government and Ethics committee.

Source: http://www.nj.com/news/index.ssf/2018/04/who_is_caren_turner...

Definitely agree with you. I feel underwhelmed with the 2017 MBPs (typing on one right now). And you're absolutely correct: if you're developing for certain app systems, you have no choice. I'm a Ruby developer and I remember years ago people switched to Mac simply so they could use Textmate. Some tools just work better on the system (for better or for worse).

I can relate to what the article says, and yet find it hard to break away from the ecosystem given the tools I've come to use every day runs so well on the Mac. Muscle memory with shortcuts and all.

I've found a quick workaround to simply let the machine cool down. Eg. When running Docker previously and when the machine got heated, I found keyboard problems keep cropping up consistently. Letting it cool for about 20 minutes with a laptop cooler seemed to help.

If we look at cancer as simply another organism that's looking to survive, we can't blame them for innovating strategies. They're simply trying to carve their own niche in the world (albeit at our expense). C'est la vie.

That's an interesting thought.

Currently, what happens is that if a diagnostic test comes back and it suggests something serious, say cancer, and the doctor does not pursue it, then the doctor would be liable if it did turn out to be cancer.

So if a machine disagreed with a doctor, then I would assume that the doctor will grudgingly have to investigate further until there is enough evidence to rule out that diagnosis.

#headache

What I can see happening is that patients will go to this machine for a second opinion. And if an opinion then returns that contradicts the primary physician, then an entire can of (legal) worms will be open.

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Addendum:

To elaborate further, there is sometimes what's called the benefit of history.

Say a patient visits 10 doctors. The 10th doctor has an unfair advantage to the first 9 simply because he/she will have the prior knowledge of which diagnoses and treatments were incorrect.

Similarly for an AI vs Human Doctor situation, the incorporation of additional information (for the AI) would require considerable amount of big data to train in order to be able to recognize prior history, failed treatments, and such.

For image specific diagnoses (eg. recognizing melanoma, retinopathy), these do lend themselves to AI very nicely. For other diagnoses that contain a significant amount of, shall we say, "human factors", then less so.

Much of Radiology and Pathology specimen interpretation is based on reliable and consistent detection. To come and think of it, the application of AI into this area is fantastic because it removes human fatigue and missed diagnoses. AI neural nets seem well equipped for image recognition. At the very least, this can lead to a first level flagging of specimens.

My only concern is that with any system, a major downside would be that human operators would place too much reliance on a system that works great most of the time, resulting in missing something that otherwise would have been caught. This happens every once in a while, such as with EKG machines spitting out a diagnosis based on electrical activity patterns.

Ultimately, you will need a doctor somewhere along the diagnostic process so that someone is there to assume liability for incorrect diagnoses.

Since this is publicly accessible, what would be the chance that search engines indexed the files? In this case, would Google bot be charged? Or if this were, say, Equifax or Facebook. I mean, in those situations, the companies were blamed for "the leak". It seems rather convenient to cherry pick the law to apply on this poor teenager.

Yes, my gut is telling me the same thing too. The junior dev needs to be motivated (out of the box motivated) to learn and improve. If that isn't there, no amount of coaching/pair programming will help.

It's depressing. Sometimes it's not the lack of mentorship but the lack of motivation on the part of the student. It's almost like someone stuffing a gold coin in one's pocket and that person refusing to take it because it's too far or he can't be bothered.