The blog claims rust chosen mainly to address memory issues, which rust is a better language for. So, success would simply be less new memory errors / easier to patch old ones.
>At least I've done what I can do, but we can't save people from themselves.
Why should doctors NEED to save people from themselves?
The default should be what the people in the industry have learned, with full permission to say "For myself, I have written a legally binding document that this is my personal wishes. I suggest you make that decision for your loved one, too."
Patients have the ability to ask for more, but there shouldn't be a constant need to save people from inadvertently choosing risky/painful low payoff medical care!
>Blockchain... NFTs
>The problem is, the same dudes who were pumped for all of that bollocks now won't stop wanging on about Artificial Intelligence.
I was firmly in the camp that blockchain was not a viable solution to any problem, and that NFTs sound stupid. I think AI is much different than that list. So, there goes your argument?
I hear your pushback, but that I think that's his point:
Even seasoned coders using plan mode are funneled towards "get the code out" when experience shows that the final code is a tiny part of the overall picture.
The entire experience should be reorganized that the code is almost the afterthought, and the requirements, specs, edge cases, tests, etc are the primary part.
My theory is that even if the models are frozen here, we'll still spend a decade building out all the tooling, connections, skills, etc and getting it into each industry. There's so much _around_ the models that we're still working on too.
Wow, looks like a tremendous commitment and depth of knowledge went into this one-man project. I couldn't even read the whole write up, I had to skim part of it. I'm super impressed.
I don't like the thinking time, but for coding, journaling, and other stuff I've often been impressed with Gemini Pro 2.5 out of the box.
Possibly I could do much more prompt fine-tuning to nudge openai/anthropic in the direction I want, but with the same prompts Gemini often gives me answers/structure/tone I like much better.
Example: I had claude 3.7 generating embedding images and captions along with responses. Same prompt into Gemini it gave much more varied and flavorful pictures.
The eiruv only works as a loophole for the added stringencies by the Rabbis. Anything that's considered totally public in actual Torah Law (which is a big debate what exactly that is) is not subject to the permissibility of creating an eiruv.
Isn't "left or right" _followed_ by rationale asking it to rationalize it's 1 word answer - I thought we need to get AI to do the chain of though _before_ giving it's answer for it to be more accurate?
The benchmarks in many ways seem to be very similar to claude 3.7 for most cases.
That's nowhere near enough reason to think we've hit a plateau - the pace has been super fast, give it a few more months to call that...!
I think the opposite about the features - they aren't gimmicks at all, but indeed they aren't part of the core AI. Rather it's important "tooling" that adjacent to the AI that we need to actually leverage it. The LLM field in popular usage is still in it's infancy. If the models don't improve (but I expect they will), we have a TON of room with these features and how we interact, feed them information, tool calls, etc to greatly improve usability and capability.