11–19 of 19 posts
Have you ever worked in a distributed system? If not, try one. If yes but you don't feel it hard, try improving its reliability/availability/scalability/performance/latency/debuggability/observability/consistency one order of magnitude (e.g. one more 9 in addition to 5 9s) at a time with one order of magnitude more distribution (e.g. spreading a global service to 10x more clusters/data centers).
Some research related to psilocybin, ibogaine, and MDMA happening, mostly in Canada. Several of those firms have gotten lots of small (<8MM USD) investments and look interesting. High risk, long-term plays.
Everything related to drone racing. Applications could be widespread -- but it's also just fun to watch/do. Some research related to psilocybin, ibogaine, and MDMA happening, mostly in Canada. Several of those firms have gotten lots of small (<8MM USD) investments and look interesting. High risk, long-term plays.
How does one get started in this? I saw this https://www.lockheedmartin.com/en-us/news/events/ai-innovati... but still don't know how I can start at small scale as a hobby.
AGI is not what I want to build, someone else can do that. For now I want to increase the capacity for people to build neural networks that researchers don’t dream of doing, as easy as stitching together web APIs. I internalize this under the title “the Infrastructure of Intelligence”
Also, eventually I would like to work on a programming language for biology, and contribute to building wetware computers.
Another thing that I think the first project would help is longitudinal health tracking and quantifying human biology.
Building learning systems that can operate on multiple modalities, and are totally interpretable. I think of these requirements as the basis for the next big jump in software usability, (I.e much better intelligent user interfaces) AGI is not what I want to build, someone else can do that. For now I want to increase the capacity for people to build neural networks that researchers don’t dream of doing, as easy as sti…
Building learning systems that can operate on multiple modalities, and are totally interpretable. I think of these requirements as the basis for the next big jump in software usability, (I.e much better intelligent user interfaces) AGI is not what I want to build, someone else can do that. For now I want to increase the capacity for people to build neural networks that researchers don’t dream of doing, as easy as sti…
Any resources to share that can serve as an introduction to this "Infrastructure of Intelligence" idea.
https://arxiv.org/abs/1905.10985 Is one, talking about using ideas like neural architecture search to build better learning systems. A lot of the references in it are golden.
I also wrote a set of notes formalizing what I see as the first step to building this infrastructure of intelligence. There’s some great references in there: https://osf.io/bv4qp/
I’d be happy to talk about this and get your thoughts, you can hit me up on my email: harshsikka123 @ Gmail.com
I’m leading a research collaboration with some researchers in academia and industry, working on this actively!
Working on an idea to eliminate student debt/loans and increase teaching and non-teaching staff income.
Earlier quoted context omitted.
Any resources to share that can serve as an introduction to this "Infrastructure of Intelligence" idea.
That term is something I sort of came up with, but certainly there are some cool papers. https://arxiv.org/abs/1905.10985 Is one, talking about using ideas like neural architecture search to build better learning systems. A lot of the references in it are golden. I also wrote a set of notes formalizing what I see as the first step to building this infrastructure of intelligence. There’s some great references in there…