Prescription medications sometimes do harm. Even so, many drugs prevent far more premature deaths than they cause. That's why we have national drug regulators: to evaluate evidence as to whether each new drug is safer on the whole than leaving the condition untreated.

The mechanism of action is a chain of causation. For example, the acetaldehyde in cigarette smoke damages DNA. When a certain gene is damaged, it becomes an oncogene which leads to cancer.

A correlation is not a causation. That's math.

FYI Oxford is in England. The report authors are titled "Sir."

Oh thanks, I missed that link.

Avoid Slim Jims.

The real problem with this advice is it focuses HEAVILY on questionable (or poorly understood) edge cases. There is some support for the hypothesis that eating processed/red meat is bad, although it's not clear, and the difference is slight. The mechanism of action are not well understood. BUT NO: ->

-> For the vast majority of people, they would find a much bigger benefit if they ate a little spinach every day. That is a MUCH more effective change, well supported by research and experiment. <-

To extend/improve life, eat spinach. Cooked well (in beef juices), it's delicious.

That's most cities I think (I haven't been to most cities, so I'm going off a sampling).

Cities mostly have a few areas that are crowded with traffic, but the rest is fairly easy to drive around. San Francisco has a reputation for bad driving, but it's only a few areas that are actually bad.

Hate hurts you.

One of the mathematicians commenting pointed out that this is hardly a proof at all, but rather a counter-example.

It's hard to say intelligent things about what the AI is actually doing, because they haven't released the source code. It's not just an LLM, it's an LLM with some kind of algorithm tied to it somehow. In particular, it didn't need to write out a logical train of thought (which would be a proof), all it had to do was say, "here is a tighter way to pack dots on a grid."

You are full of hate, grasshoppa(657393).

Amsterdam isn't like that all the time. Sometimes traffic is extremely irritating. The video is early morning.

Good point.

Along those lines, I can say that I have personally found a marvelous proof which is too large to fit in the margin of this comment...

Which is the part that you think is deeply clever?

A precise model would be Bayesian classification, because you can output the exact right answer in every case based on the training data.

Neural networks are approximations you use when the data is too large to be tractable with a Bayesian classifier.

If you don't read the paper, you'll just continue to post stupid comments: https://cdn.openai.com/pdf/74c...

You didn't read the paper so you are ignorant by definition. RTFP or GTFO, you ignoramus. Be ignorant no longer.