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Hey, very cool work! How does your solution compare to directly building the context in a framework like LangChain?

I’m an AI researcher, so am a little further from this area, but am very curious.


There are 3 major challenges

1. We think the context you want is distributed into multiple APIs in most of cases and there are also multiple APIs on which you might want to search. Ex: Users, Tickets, Comments etc. A lot to build from scratch.

2. Addressing these for multiple SAAS tools means learning multiple APIs and writing different code for every SAAS tool.

3. Last but difficult is to keep all of this more real-time and build the whole tech around with webhooks to keep this real-time. Also, some SAAS tools like Notion don't have webhooks


Enlightening. Another far less covered topic is the role of Non Tenure Track “Research Faculty”, often titled Research Scientist, Research Professor, etc.

I occupy one of those positions, and their forward mobility and relation to traditional TT positions is strange, and I’d like to see it covered in more depth.


What a wonderful surprise! I remember playing with this back in 3rd and 4th grade during our computer lab, it was an absolute pleasure. I haven't seen it in over 15 years, and am just floored by how timeless this is. It just so happened that I walked by my old elementary school on Monday of this week. What a strange coincidence.

Truly a joyful memory.


A bunch of fellow researchers and I started Manifold Computing (https://manifoldcomputing.com), were we’re hoping to do live, open source research and build open source tools. As you said, time will tell but I hope we can do good work this way.


I’m not sure I follow this line of thought. If all the grocery stores did this, then I agree society would certainly take action: build better, more open grocery stores. surely the same principle applies here, A business like Twitter can choose to block a group of ideologies. If there is enough want in the part of people to propagate those ideologies, they’ll build a better forum and if those ideas are successful, that forum will be. Competitive, capitalistic behavior handles this.


> build better, more open grocery stores.

Not necessarily, no. Many grocery stores have a bit of a monopoly in certain areas. It may not be possible for competitors to replace them instantly.

And a lot of people would starve before perfect competition, which doesn't exist, comes around to eventually replacing them.


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 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.


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: 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!


Thanks for the resources! I'll give them a deep dive over the next couple of days


Great points, I’ll follow up via email!


Hey HN!

This thesis was the culmination of more than a year's worth of fulltime research. It was a blast to do, and in an exciting area. I've currently transitioned to a research scientist role at a defense company after completing my two Master's. I'd love to hear your thoughts or discuss anything!

I'm currently working on another DL project in my freetime with some collaborators. The goal is to build large sparse networks in a scalable way: https://www.harshsikka.com/creating-managing-and-understandi...


This is amazing, thank you! I will most definitely take you up on your offer!


I don’t know if this qualifies as Citizen science in the traditional sense, but I’m planning on doing a lot more I’d ependent research in Machine Learning this year. My focus is on Neural Architecture Search, Modularity, and biologically inspired prior in deep learning. I’ve written a bit about it here: https://www.harshsikka.me/the-diy-phd/


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