leereeves
I doubt it would have the same result in a warmblooded animal like humans, because only superficial cells would actually reach the effective temperature.
It only requires that several different mathematicians knowingly found partial results but weren't aware of the results made by other mathematicians.
I've wondered about that myself. Does the fact that LLM's were able to solve these problems so easily indicate that most of the solution already existed, scattered in the training data, and the LLM was simply able to put together the pieces?
I think it's an interesting conjecture but nothing more without proof.
In the interest of accuracy, according to the DA, they did investigate in 2024 and did not prosecute because:
"Jane Doe’s sworn statement in November of 2024 did not allege that she was drugged against her will or gang raped. On the contrary, Jane Doe’s statement described her participation in drug use and sexual conduct as voluntary, conscious, and consensual."
https://www.tompkinscountyny.gov/News-articles/District-Atto...
Could you quote the exact text you're interpreting here?
(Not the whole Project 2025 text; the specific sentence(s) that imply that.)
What was the SPR being used for a few years ago?
Edit: Whoever downvoted, would you be willing to explain why?
"First" sounds like the key word in that sentence. What do they want second, third, etc?
Your link says this: "An equitable plan for the wind down of existing fossil fuel production, where nations with the capacity and historical responsibility for emissions transition fastest, providing support to others around the world."
Which sounds a lot like "stop extracting and burning oil, gas and coal"
Now it is primarily used to treat neuropathic pain, and the mechanism for that is not well understood. The GABA receptor is not involved. This effect is just a happy accident, and nobody really understands why it works.
In the same way, there are many filters before filling out a med school application.
Anyway I can't see any way anyone could believe the "median software developer" writing CRUD web pages or in-house apps is comparable to the average physician.
If you aspire to work at FAANG and fail you can be a software developer somewhere else. If you aspire to be a doctor and aren't admitted to med school, those years of education, volunteering, shadowing, test prep, etc. are fairly useless.
And even if you succeed, the hours are as bad as can be and the pay isn't much better than FAANG. It's not a logical choice unless you really want it, while software dev is (was?) a great career choice even if you don't care about software.
For all these reasons, a lot of people are filtered out long before applying to med school.
But this being a forum for software engineers, the discussion naturally has a lot of content about that group. And many average software engineers, with a bit of amusing hubris, apparently think they are roughly comparable to physicians.
(Actually, they may be in terms of raw intelligence. You don't have to be a genius to become a doctor. But on average they aren't in the same league in terms of work ethic and dedication.)
I'd argue they aren't being factored into automation land if they're still the responsibility of a human expert, even if there are fewer more productive human experts.
(Though I do think AI will have a role in pathophysiology and pharmacology, initially catching errors, and probably some day taking responsibility, but not soon.)
Where are testers and tech writers the median (50th percentile) jobs in IT?
Both made it through the first filter (admission to medical school/being hired at FAANG), then succeeded so well in the early stages (med school/junior employee) that they were chosen for those coveted positions.
I would say not much. AI is still often wrong and a clinician needs to know when the LLM is saying something crazy. I think AI has the most promise for increasing the productivity of well trained professionals, not replacing them (or their training) entirely.
That's what should be talked about in comparison to doctors. A FAANG position is comparable to the level of effort, competition, and accomplishment involved in becoming a doctor.
On the other hand, the "median healthcare professional" (counting only those requiring a college education) is a registered nurse, and that's the healthcare profession most comparable to the median developer in education, competition, and income.
Many doctors would agree with you. They're under enormous pressure to work faster from both non-medical administrators and non-medical reimbursement decision makers.
Economically was the most logical interpretation in this discussion of "how to preserve economic growth despite a shrinking population and declining productivity".
Poland now 6th-largest EU economy, ahead of Switzerland and Belgium
https://news.ycombinator.com/item?id=49235323
"Poland's rise is primarily the result of years of economic growth, industrial development, expanding exports and rising consumption and investment."
Not many people could name, or recognize the name of, any emperor from the last hundred years of the Western Roman Empire.
So I don't think Rome is a good analogue for the suggestion that the Trump era is going to kill the USA.