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Because a language being NP-hard implies it is at least as hard as the hardest NP problems. For any language that is NP-hard, if one had a turing machine that decided the language, one could construct a polynomial time transformation of any language in NP to the NP-hard language to decide it using the NP-hard turing machine.

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This doesn't track my experience. I have Ewing's Sarcoma, and my first regimen involved 5 agents: Doxorubicin, Vincristine, Cytoxan, Ifofsfomide, and Etoposide. This [1] appears to be the same plan I used. When that failed, I had a second regimen with Vincristine, Irinotecan, and Temozolomide. After that failed, I had Irinotecan and Trabectidin, followed by Doxil, followed by, Cytoxan and Topotecan, followed by high dose Ifofsfomide. So only two of the treatments I received were single agent, but maybe it depends on the cancer.

[1] https://www.cancerresearchuk.org/about-cancer/treatment/drug...

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I thought using multiple therapies for cancer was fairly common, or are you referring specifically to immunotherapies?

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According to this [1] wikipedia article, the only feature Sapphire Rapids doesn't support is VP2INTERSECT.

[1]:https://en.wikipedia.org/wiki/Advanced_Vector_Extensions

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At the time, there was essentially a 50/50 chance it was a lab leak or from a wet market. The issue with saying it was a lab leak at that time is that you are essentially gambling the US's relationship with China should it come out that it was a from a wet market. Also, a lot of the discussion regarding the lab leak theory early on seemed to me like it wouldn't be sated even if the US presented sufficient evidence that it was from a wet market.

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Saying COVID-19 leaked from a lab with zero evidence is different than waiting for evidence and then saying it leaked from a lab.

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The issue there is that the listens from people who listen to less music would be worth more than the listens from people who listen to more music.

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Cern uses cling now (https://github.com/root-project/cling)

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