We all kinda did. There's a clear drift in France too after the 70s. The acceleration of communication, US cultural exports, a strong trend of modernization all led to our current situation. And also part of the reason why there are so many traditionalist movements popping up.

Reminds me of trading apps. In the end all risky situations will be handled by a few popups saying "you understand that role playing about suicidal or harmful topics cam lead to accidents and/or death and this is not the platform responsibility, to continue check if you agree [ ]"

It reminds me of gray market capital investments. They are actually quite regulated, and the contracts are only valid if the investor is fully aware of the risks associated with the investment.

In practice the providers sprinkle a handful of warning messages, akin to the California cancer label and call it a day.

Of course this leaves judges unconvinced and the contract will be redeclared as a loan, which means that the provider was illegally operating as a bank without a banking license, which is a much more serious violation than scamming someone out of $5000.

Thing is, to some population this is seen as better. While to me it feels as journalists camera, too real to pass as a story.

But to some people apl/j are horrible, they will prefer their spaghetti of routines massaging random dicts where everything is "obvious"

Plus people with intellectual limitations are not immune to their own variant of over engineering. They will at times pile up useless layers and intermediate steps thinking they created something incredible or replicated badly something they saw on YouTube the week before.

"having as much working memory as possible as is useful. don't remember inconsequential details" isn't very actionable. someone could turn that into a blog post that only nerds would be interested in reading. I don't use that term pejoratively though.

Yeah can't wait for the second part

Did they experience the rule of only studying soviet science ?

No they were in college in the 80s when things were more open, but Andrei’s point was that compared to a lot of other sciences, molecular biology like cloning genes was decades behind because of the past.

He might have meant it humorously too. You don't know about gun laws at all, so next stop is the gun store.

I wish cardiovascular monitoring was better. It's not uncommon for cardiologist to discharge you saying 'all fine, EKG ok' even though reality says otherwise.

Happy you got stents at the right time.

EKGs should be extremely easy for AI to identify every disease with a range of probabilities and even some humans can’t identify from EKGs. Do we have the labelled dataset for this?

Eric Topol has a cool post on "machine eyes" -- using deep learning to identify subtle signals in ECGs and medical images that would be invisible to the naked eye: https://erictopol.substack.com/p/the-amazing-power-of-machin...

There are still regulatory/deployment/reimbursement barriers to cross, but this is happening.

There is a decent looking dataset available here, let's see my model can generate random numbers from this for each of the diseases: https://www.nature.com/articles/s41597-022-01403-5

You're assuming EKG is definitive.

I had an EKG last week, the analysis comes back "borderline". Running down every abnormality listed (I know my cardiologist has seen it, didn't consider it notable) has a range of possible causes, including the changes that come with good endurance.

"It should be very easy for an AI to look at an x-ray, CT, ultrasound or MRI image and tell what disease a human got, even some that humans don't know of.

Are there any labeled datasets "

-Some Software dude, every month since 1971

No the examples you give are extremely difficult compared to the 2D graphs of an EKG. The Apple Watch is clearly doing some fairly accurate inference with a single lead around arrhythmias, for example. I’m really sorry for being enthusiastic about machine learning, I just finished doing an intensive ML bootcamp and it was fun getting results. I also actually have some heart issues so I’d love to see if I could get a result. Thanks for your constructive comment though, I’ve never seen ones like this here before!

I'm not talking about me successfully building an AI that can do better than humans or identify all the worlds heart diseases I'm more looking to have fun and play around with some data (and yes learn more about the domain by doing!). I was maybe a bit too excited about seeing what would happen with a real dataset like this, but it's a hacker news comment not a PhD defence, no need to be so negative. Thanks.

I wonder if all symptoms would show on an EKG though. Would reduced coronary blood flow alter electrical signals ?

That’s a stress test.

Attach an EKG, have the patient ride a bike with significant exertion.

If there is a lack of blood flow, it will show up in the EKG as alteration of the electrical signals through the heart.

Well I've been subjected to these tests and I fell between the lines, I was clearly below normal health (had trouble walking) but they said there was no issues. So I wondered if there's not more subtleties. Like lag between effort and signals showing up, or vascular issues like micro clotting impeding flow.

That’s what’s fascinating about AI it might find patterns with enough data that we don’t see.

EKG changes are a late sign. You need structural imaging like CAC or CCTA or echo.

I had zero idea bash exposed the stack this way.. i'm utterly stumped.