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DeepMind readies first commercial product
121–130 of 134 posts
Re: DeepMind readies first commercial product
#122Earlier quoted context omitted.
Because, as with groceries, you're depriving someone else of content by consuming it. You wouldn't download a car. It's the most disingenuous argument against free media (or piracy etc) that's being thrown around.
> It's the most disingenuous argument No, it's not. I actually used to write for a newspaper before. These days, they are shoestring operations locked in a constant battle for financial survival. The stories are written by real people who get paid (very little) real money. Take that out of the equation and the news goes away. I deeply value journalism and want it to survive. The level of entitlement evinced by you, g…
While I do agree with some concerns about quality journalism, and I want it to survive, I find the specific argument you used to be disingenuous. We're dealing with perfectly and infinitely reproducible 'product'. Any scarcity here is artificially imposed. It's not like with groceries, where we have finite amount of goods, that can only be consumed once.
I know, that reality of dealing with non-scarce goods doesn't gel very well with free-market capitalism, but I think limiting access to journalism (and IP laws such as copyrights and patents) is a net negative for our society, so we shouldn't resort to bending our only post-scarcity type of good into a scarcity driven economic system.
Re: DeepMind readies first commercial product
#123Earlier quoted context omitted.
This is not how trust works
You mean it's not enough to trust in average accuracy, you want trust in specific instances of application?
Well, imagine a doctor having a suspicion of some kind, sending a patient to get scanned and an AI ignoring an anomaly and substituting it with an interpolation of normal tissue. The doctor looks at the result and thinks he might have been wrong and says to the patient that he is fine.
Even if it happens more rarely than a doctor missing an anomaly on the scan, it doesn't feel right. A patient had a good chance to be diagnosed and he wasn't.
What's more, in case of normal MRI a patient or a doctor can ask another doctor to have a look, but in case of AI and the fast scan described in the article, the AI's interpretation of data is final, unless you go make another scan, this time in the traditional way.
Re: DeepMind readies first commercial product
#124Earlier quoted context omitted.
Do you know why it's not added to the official directory of Firefox Add-ons?
Dude, don’t leave everyone hanging, spill the beans!
Me? It wasn't rhetorical, I really don't know. But I installed it from GitHub. When I first tried that on my phone, I mistook the popup in question for my device saying it wouldn't do it for security reasons, which made me think I should get it from the Add-Ons directory instead (but couldn't find).
Re: DeepMind readies first commercial product
#125Earlier quoted context omitted.
> It's the most disingenuous argument No, it's not. I actually used to write for a newspaper before. These days, they are shoestring operations locked in a constant battle for financial survival. The stories are written by real people who get paid (very little) real money. Take that out of the equation and the news goes away. I deeply value journalism and want it to survive. The level of entitlement evinced by you, g…
While I do agree with some concerns about quality journalism, and I want it to survive, I find the specific argument you used to be disingenuous. We're dealing with perfectly and infinitely reproducible 'product'. Any scarcity here is artificially imposed. It's not like with groceries, where we have finite amount of goods, that can only be consumed once. I know, that reality of dealing with non-scarce goods doesn't g…
Splendid. Impressive. Who pays? It’s a very simple question I’m asking you.
Re: DeepMind readies first commercial product
#126Earlier quoted context omitted.
You mean it's not enough to trust in average accuracy, you want trust in specific instances of application?
Averages are not adequate descriptions of situations with bizarre outliers. An ML model that creates nonexistent detail in a medical image screams bizarre outliers.
Medical conditions are usually binary choices.
Re: DeepMind readies first commercial product
#127Earlier quoted context omitted.
You mean it's not enough to trust in average accuracy, you want trust in specific instances of application?
Well, imagine a doctor having a suspicion of some kind, sending a patient to get scanned and an AI ignoring an anomaly and substituting it with an interpolation of normal tissue. The doctor looks at the result and thinks he might have been wrong and says to the patient that he is fine. Even if it happens more rarely than a doctor missing an anomaly on the scan, it doesn't feel right. A patient had a good chance to be…
I think this is more a problem with your feeling than the actual process.
You're focusing on the person who got falsely detected as healthy, and are ignoring the people who would be correctly detected as unhealthy. That's why the important question is expected outcomes.
I don't really care whether the doctor gets to be morally culpable or not. I'm not sure why I would ever care about something like that as a patient. If I get sick and die, the fact that a person was responsible rather than an algorithm gives me precisely zero comfort.
Re: DeepMind readies first commercial product
#128Earlier quoted context omitted.
It's my understanding it's sometimes exactly those obvious abnormalities that are missed by radiologists.
Adding another lossy step will only make even more anomalies get missed, or worse, misdiagnosed as something else (I'm thinking about the photocopiers that sometimes change numbers in documents). The argument that "our system is already bad so we should just merge this new bad component because it doesn't make it worse" is bad in software, and unacceptable in medicine.
One advantage of software is that it can't really have a bad day. The radiologist can be affected by external human factors. Perhaps an angry wife and a dinner getting cold at home. He might not take the extra picture a bit further down the lower back where the golfball tumor was growing (story from my mother-in-law).
Re: DeepMind readies first commercial product
#129Earlier quoted context omitted.
https://github.com/iamadamdev/bypass-paywalls-firefox No need to rely on Chrome.
Do you know why it's not added to the official directory of Firefox Add-ons?
The add-on is encouraging/enabling piracy of paid content. FF and Google will get legal pressure from news publications if they put this in their official stores
Re: DeepMind readies first commercial product
#130Earlier quoted context omitted.
Well, imagine a doctor having a suspicion of some kind, sending a patient to get scanned and an AI ignoring an anomaly and substituting it with an interpolation of normal tissue. The doctor looks at the result and thinks he might have been wrong and says to the patient that he is fine. Even if it happens more rarely than a doctor missing an anomaly on the scan, it doesn't feel right. A patient had a good chance to be…
I think this is more a problem with your feeling than the actual process. You're focusing on the person who got falsely detected as healthy, and are ignoring the people who would be correctly detected as unhealthy. That's why the important question is expected outcomes. I don't really care whether the doctor gets to be morally culpable or not. I'm not sure why I would ever care about something like that as a patient.…
You falsely believe that it is a binary choice. Cost-cutting allowed by this fast and creative scanning is not the only way to help more patients.