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Sure! Taivo here - CTO & co-founder of OpenCopilot. The most recent LLM app we've built has been the Ready Player Me copilot (which you can see linked in the m
by sq42na 3y ago
Sure! Taivo here - CTO & co-founder of OpenCopilot.
The most recent LLM app we've built has been the Ready Player Me copilot (which you can see linked in the main repo as well, and which was an inspiration for actually making something open-source based on what we had learned into). The problem it solves is onboarding developers onto their platform, and is currently live for a subset of their users.
We've built a ton of copilots that we haven't published. Some have been for work like founder copilots for ourselves and a few friends, sales outreach copilots, etc. Some have been for fun: I wanted to see if I could create a copilot that coaches me to do things faster a la https://patrickcollison.com/fast https://patrickcollison.com/fast - so I did. As a PoC I created a copilot that explains the rules of an obscure sport I like (floorball).
In addition, with the same team, since the beginning of this year we've made a bunch of experiments that I'm sure many others have tried:
* "chat with your knowledge base" style bots: for tech support, for developer docs, for internal HR use, and probably some I can't remember
* an LLM-based quiz app that dynamically makes a quiz based on your Spotify history
* an automated engineer (a much more basic version of smol-ai/developer)
* a website builder where you mostly uses a chat UI for making the website
* making AutoGPT better (higher quality, faster, more straightforward to use)
* we also briefly considered making an OSS LLM before Llama 1 came out and kickstarted the OSS LLM wild ride we've seen since then
We killed almost all of these experiments within a few weeks after release, because none found early traction; we'd probably been wrong about the problem these were solving.
About my AI background: I built a 25-person computer vision team from zero at an identity verification unicorn. After that tried and failed to build a computer vision labelling tool startup. Before that, built robot perception software at Starship robots and unsuccessfully tried to make a contribution to AI safety with my thesis on active reinforcement learning in 2017.
About Johannes (OP) & the rest of the team: in 2018 him and part of the current team tried to make Sidekik: something like character.ai, but training models from scratch - which eventually didn't work out. From 2020 (after a pivot) the same team was building Sentinel, a deepfake-detection startup - which again did not work out.
FYI: Sidekik's original website:
https://web.archive.org/web/20181008082142/https://sidekik.ai/ https://web.archive.org/web/20181008082142/https://sidekik.a...
- ionakana 3y agoCan you share anything additional about your Fast Copilot? That’s such an interesting topic that I had no idea existed!
- sq42na 3y agoIt's embarrassingly simple and of course has infinite room for improvement, but I figured it might be interesting for you to check anyway: https://github.com/taivop/speed-copilot https://github.com/taivop/speed-copilot It's built with OpenCopilot; the bulk of the work is in the prompt (you could probably copy-paste it into ChatGPT and get not-too-bad resultS). The RAG part is not great right now since the documents are not chunked in a reasonable way. But it has been somewhat valuable for me as well. Let me know if you tried it out and whether it helps you do anything faster ;)
- JohannesTk 3y agoYeah, we started Sidekik in 2018 where we were enabling people to create AI versions of themselves, including famous people such as Steve Jobs, Elon Musk, etc: http://web.archive.org/web/20191211212908/https://sidekik.ai/ http://web.archive.org/web/20191211212908/https://sidekik.ai... It was way before all of it was cool and back then we didn't train LLMs but just LMs with LSTMs lol. Got to around 10K users but the technology was too early so we pivoted to Sentinel: https://thesentinel.ai/ https://thesentinel.ai/ Scaled that up to the largest deepfake detection provider in the world but eventually it didn't work out which is a longer story.