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How much does it cost to bring a drug to market and then manufacture and distribute it? If it was a $6 pill, this would simply have never been developed, let alone distributed to struggling mothers.
I think the high cost of drugs is a symptom of an ignored issue. The fact is that it costs an eye-watering sum to get something to market. Obviously not all of it is remediable, after all, someone still has to do the biology and science work in a state of the art lab to invent these things. But some of it is remediable. I remember a press conference by the head of the FDA during Covid, who proudly stated that the vaccine was going to be approved 10x faster than other drugs without compromising safety or efficacy. That's great! But if we aren't sacrificing safety or efficacy and getting new drugs 10x as fast, why isn't that standard operating procedure?
If it were to cost only $20m or $50m or $100m to get a new drug to market instead of up to $2 billion (current avg cost estimate per CBO.gov website), I imagine drugs would start at lower price points, and even if the free market didn't do its thing, regulating prices would be easier without defacto banning new drugs.
But this is just a simple economic argument. I am not a biochemical researcher, and I don't want Thalidomide to happen again. But as long as it costs $3-$10 billion to break even on new drugs, (let alone profit) I don't see how drug prices can get lower. It's just math.
That says nothing about system bandwidth: if normally they would approve 10 drugs in N months, but now they threw all available resources on one project to get N/10, it would make sense.
if you look closely, those usually on-set people, medics, drivers, catering services - those who have unions. VFX companies in most of the cases have a dozen of entries out of hundreds who actually worked on the title, or just a single line company mention. I could understand this practice in cellulose era, but saving a few megabytes at the cost of disrespect to your workers is simply despicable.
I get a: "404: Not Found" from the site "codeload.github.com"
My test is what I have to do fairly often: use Windows Explorer to copy 70-100gb file from a network NAS to a local drive. Every so often I click on the wrong network share pinned in the Explorer and see slow transfer speed.
This is about ~2-3x worse than similar applications written in highly optimized C, so don't expect any miracles from further optimizations unless they switch to kernel Wireguard (which doesn't seem likely in the nearby future).
They claim it's very difficult if not impossible, but this sounds like an issue with their architecture — a similar application from their competitors² has had kernel WireGuard support from the start (no relation, I don't even use it and cannot recommend for or against it).
Copying large file from Synology DS1821+ NAS (Amd Ryzen V1500B) to Windows PC (i7-6700K) is about 111-113 MB/s when accessing NAS directly and 70-73 MB/s when traffic goes through TS (different large files, so no caching here).
This is not a negative comment about Blender. I'm not their target audience I guess. I just _want_ to learn it but I can't really find good resources that start at 0.
There are some Youtube channels out there but videos have never been a good way of learning for me. It's tough keeping material up to date with a fast moving project.
I enjoy these threads every time!
{ "Current date": "2023-02-08", "Knowledge cutoff": "2021-09", "Language": "English", "Writing style": "Formal", "Topic": "History", "Intent": "Answer question", "Location": "New York", "Prompt type": "Question answering", "Audience": "Experts", "Emotion": "Neutral", "Tone": "Informative", "Domain": "Science", "Task": "Generate summary" }
> Show options for intent variable
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SpiritualI think the user experience of cli debuggers is generally somewhat dreadful when compared to their gui cousins -- they seem to display a much narrower view of what's going on. Could the big blinkenlights debugger view be useful outside of blink itself?
* https://github.com/pwndbg/pwndbg * https://github.com/longld/peda * https://github.com/hugsy/gef