OpenRouter gives you easier to verify cost analysis of generic inference, as you can know the model weight size and so on, and see how competing providers price that
I applied to USDS in 2023, the process took nearly a year and ended with them just ghosting me after two interview rounds. Pay was capped (by law) below my target salary but at a level that I would accept as it would have been fully remote, but there was also a term limit on the job which meant I would have at most two years in the position.
It’s not just the pay, there’s a lot of structural elements that mean that the potential talent pool is less than desired.
There was a period of time where it seemed (as an outsider) that they were attracting good talent. This was when Megan Smith was CTO. https://en.wikipedia.org/wiki/Megan_Smith.
I thought so too, but there's a ton of people out there wading their way through trying to re-purpose their gaming rigs to run qwen3.8-flash-next on their gaming rig (at Q2..) via WSL
It should mean both. They need to learn how to do it by hand and then learn how to lean on a navigation system. If only GPS fails, then the celestial navigation program fallback runs without a hitch. If shit hits the fan, then they can break out the manual and remember how to do it by hand.
That you can go 300km/h in an F1 car, doesn't mean you can go that fast on a bicycle, even though they're both in the genus "wheel-based vehicles for human transport". The jellyfish is a rather different animal. Trees can grow very old, but there's a reason why you didn't use those as an example: too far from human biology. That jellyfish may be at a similar distance.
It would be a scientific process to find the limits, but I don't see a scientific reason to find out how to overcome them. Science' job description is oberving and explaining, not altering nature.
We have the ability to convert to becoming immortal. It actually happens to some of us. It sucks though. We call this cancer. Turns out the immortal cells become selfish. But you can scrape some off yourself, throw them in a petri dish, supplement growth media, and they will divide forever.
IANAB but lobsters are worth a look. They apparently do not get slower or weaker or even lose fertility as they age. And apparently Greenland Sharks might live for 300-500 years, are immune to cancers, and their DNA can repair itself. Maybe leaving the ocean was our ancestors' mistake.
Greenland sharks are interesting because they do everything slowly, including aging. Our best guess is that pregnant Greenland sharks have at least a decade-long gestation period. Which seems like an adaptation to cold and relatively barren environments?
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