277 karma · joined November 5, 2018
But in my experience, the user has to be better than an Infosys employee to know how to convey the task to the LLM and then verify iteratively.
So more like an experienced engg outsourcing work to a service company engg.
and that too integrated with prometheus, 160GB VRAM requirement and so on?
Looks like this is targeted for enterprises or maybe governments etc trying to digitalize at scale.
Hope this is useful to someone!
I mention this specifically because I remember mark andreseen comment something similar in lex fridman's podcast, something along the lines of getting "those creative people" together to build on ai.
I'm based out of India, can I apply?
Location: India
Remote: Yes
Willing to relocate: Yes
Technologies: Python, Scala, terraform, k8s, scikit-learn, pytorch, transformers
Résumé/CV: https://github.com/ixaxaar
Email: ixaxaar at geniusrise dot . ai
I've built early stage startup teams, starting at 4-5, and taking them to 40-50.
I can handle pretty much all forms of tech work - management, backend, frontend, devops, data engg, data sci, AI/MLSome interesting links: https://github.com/geniusrise - containerized inference servers for LLMs etc (like NVIDIA NIM) https://github.com/ixaxaar/pytorch-dnc - reverse-engineered implementation of deepmind's DNC, SAM & SDNC http://monoid.space - pure math and theorem prover tutorial
Look, "in principle" stuff is not how the real world works. AFAIK, hacks happen mostly because of carelessness. No one cares because no one cares if they care (and the compensations etc reflect that). I know enough such cases in fintech (forget about other verticals), which are mostly stupid like wrong RBAC, open firewall, AWS keys taken by roommate etc and not public of course.
Money saved can be paid to these providers. That way, the money stays in the us. A 10k IQ move that no one will understand.
/s ov course
I think that would fit idiot savant logic very well.