If you study any field enough to know who the right people are, then you can invest in it. For example Elon Musk hired people like Tom Mueller --an experienced propulsion engineer, to build the first rocket engine for SpaceX. OpenAI was started by people without much AI experience but hired people like Ilya Sutskever who had worked on projects like AlexNet. Elon Musk started Neuralink without any training on brain-computer-interface by consulting/hiring people from Krishna Shenoy's lab.

Sometimes it's a matter of corralling the right people together to work on a problem, funding it, and making sure they're operating cohesively.

And biotech. We have a lot to advance in biotech, we can't cure cancer or dementia. Curing dementia should be a priority given how many old politicians we have.

I wonder how many people remember that article or know it nowadays. Too bad the characters got messed up in your post .. probably why it didnt get modded up.

I don't like it. They leach off our gravity.

Would like to be surprised but I reckon it'll be about 2027 by the time they get their act together on this. I guess they can tout it as 20th anniversary of iPhone BS.

Isn't that the same as losing a wallet? I do have physical credit cards, that I don't carry around. Let's say I were to lose my phone, I would buy a new one and restore everything to it.

Yeah I am curious about that. What percent of retail and fast food customers are using cash, credit card, and phone pay?

I don't use cash either. Haven't in years -- it's easier to just tap my phone .. so I don't recall using cash since the before the pandemic, outside of maybe on some vacations. Actually, not even sure about that.

I wasn't advocating dismissing it at all. Just that we have to make sure all the metrics are correct and comparisons within full context before ditching something wholesale. I'm saying make sure we get it right, that's all.

Quality is more important than quantity. Who was missing the important diagnostic? As in, if the AI missed diagnosing people with cancer versus humans missing all the flu diagnosis. Which would you rather have?

Note, I haven't read the article .. just going by the headline. Just pointing out that just because the "error rate" of humans is higher doesn't mean humans are less useful than AI.

The Sun doesn't emit much X-rays or gamma rays. Nearly all (like way above 99%) of the Sun's radiated energy is UV and lower frequency. The Sun's X-rays or gamma rays are not enough to be dangerous.

We should spend money instead on the biggest barrier to that prevents humans from curing virtually any disease -- the drug delivery problem. All other problems solvability is difficult only because of the fact that we haven't a solution to it.

"How do you deliver a large payload into every and any cell of the human body?"

The closest tech we have to that is "LNP (for mRNA) + protein binder" or Adenovirus vector.

Small molecules can be delivered into every cell, however small notoriously molecules go off target and even if it didn't they cannot fix every problem in a cell.

If you can efficiently deliver a large payload—such as 15 kilobases of mRNA or an equivalent amount of protein—directly into the cytoplasm of every cell, you can essentially equip each cell with an internal diagnostic lab. This setup can detect abnormal or harmful cellular activity by sensing internal mRNA or aberrant proteins. If a cell is identified as malfunctioning or cancerous, you can then either correct the defect or initiate destruction of the cell. There are numerous ways to do the detection of unwanted mRNA and, if present, perform an action, however they all require large molecular "machines" (proteins/RNA).

If we did that, what would the Klingons use for target practice?

Clearly. It was alien to them.

You guys recall back in the nineties when they went into a frenzy about detecting a new kind of lightening phenomena (and possibly aliens) and it turned out to be a guy microwaving his burrito? Reference: https://www.theguardian.com/sc...