How many battery breaktroughs did we have before AI? They rarely lead to new batteries.
>AI/ML big datacenters are crucial for all the illneses we have which no one cares enough to solve.
Too bad that companies like OpenAI and MS buy most of the hardware for their data centers to write summaries of articles and emails and to create pictures.
And even if they find a cure, doesn't mean it will be available for people in need, not without a hefty fee.
Insulin is a bad example and a good one. A bad one because what happens in the USA is some super weird shit (and it only happened in the USA, thats why USA people drive to canada or mexico). Without insulin though, they wouldn't be alive.
ML on x-ray pictures is super easy technology which partially already is better than x-ray experts. Its not far away to have build in diagonstics or cheap online services. And yes they will reach poorer people than before. It will also allow a lot more people to get better diagnosis.
My sister has a type of blood cancer, she would have been dead by now if research wouldn't have found a solution 13 years ago.
And no MS and OpenAI and google are not just using their DCs to write summeries. They use it to do research. A LOT actually.
And take a look at google ios and the research papers, plenty of medical papers coming from those big companies.
How many battery breaktroughs did we have before AI? They rarely lead to new batteries.
>AI/ML big datacenters are crucial for all the illneses we have which no one cares enough to solve.
Too bad that companies like OpenAI and MS buy most of the hardware for their data centers to write summaries of articles and emails and to create pictures.
And even if they find a cure, doesn't mean it will be available for people in need, not without a hefty fee.
Just look at the profit margin of insulin.