To elaborate on this, if the individual in Somalia didn't want to die from said cancer and preferred better regulation, they would readily move to Ohio.
The intersection of entities whose security is based around "responding to every CVE quickly" and the entities that care about supporting OSS projects has measure zero.
Mathematics is such a wide field and the questions asked here are ill defined.
If the comment is "the AI founder bros are hyping it up and it's not as good as they claim", I think we all agree that's true. LLMs are good, but exactly how good depends on many subjective points.
If the question is: "can we come up with questions that are easy for some tiny niche set of experts, but basically impossible for an LLM", I think the answer will always be "yes", especially if you can make "niche set of experts" more and more niche every time.
If the question is "will mathematicians be unemployed in a few years", obviously the answer is also "no".
If the question is "can LLMs be used to speed up mathematics research", the answer is "yes and no, depending on what you're doing".
This is my favourite book, it's hilarious and it kind of mirrors how I go about my life: pondering every little detail and how everything fits together.
I'm not sure if it's the same thing as dullness though?
5 year amortization is pretty realistic I'd say. A100s (came out 2020Q1) are still in heavy use. (I think V100s from 2017Q3 are starting to be phased out a fair bit.)
On a quick look, isn't this a bit antithetical to the concept of the internet as a decentralized and hierarchical system? You have to route through the public internet to interoperate with the rest of the public internet?
I agree on the first. On the second: I would bet a lot of money that they aren't actually breaking even on their API (or even close to). They don't have a "pay as you go" per-token tier, it's all geared up to demonstrate use of their API as a novelty. They're probably burning cash on every single token. But their valuation and hype has surely gone way up since they got onto LLMs.
The APU is not on during flight, so not a safety thing. It's just for providing power (and bleed air) on the ground (if there's no other power source). E.g. can't start up at airports without external power with the APU INOP.
I think it's a bit early to say. At least in my domain, the models released this year (Gemini 2.5 Pro, etc). Are crushing models from last year. I would therefore not by any means be ready to call the situation a stall.
I'm not afraid of running servers, that was not the point. The point was exactly that I wanted a serverless postgres.
If I can throw together a random project, completely isolated, that costs $0.10 per month, that enables me to do many orders more random projects than something that costs me $5 per month.
A good example of how good ideas can suck with bad implementation.
NYC has a paratransit system where you can essentially do something like this if you have a disability that stops you from taking the train (there's still lots of subway stops without elevators, etc). From my understanding it's nice in theory but borderline unusable given delays, ahead-of-time scheduling, and the endless gridlock in the city. So basically there to tick an ADA box...
It's my understanding that Neon had some tech to basically "wake up" the DB when a request came out -- so you could "scale down to zero," if you will. I was hoping to explore this for small personal projects: I by far prefer Postgres and would love an isolated database per project.
Is there an alternative for that? Scale-to-zero postgres, basically?
They just renamed "system" to "developer" for some reason. Their API doesn't care which one you use, it'll translate to the right one. From the page you linked:
> "developer": from the application developer (possibly OpenAI), formerly "system"
(That said, I guess what you said about "platform" being above "system"/"developer" still holds.)