Ask HN: Have advancements in AI given you ideas for new side projects? Given the massive advancements of late, have you had any ideas for improving software you currently use? Or ideas for new projects? |
Ask HN: Have advancements in AI given you ideas for new side projects? Given the massive advancements of late, have you had any ideas for improving software you currently use? Or ideas for new projects? |
Now when I run into a certification objective that baffles me, I ask ChatGPT. It gives me (typically) a full-page that explains what I need to know (theory) and where to click in the program (practice) to make it work. In the full-page, there is usually 1 omitted partial-step. It might say "click on X" without saying that X is under the Y sub-menu.
Keep in mind that before ChatGPT, I would have been totally lost on what that objective even meant.
ChatGPT has helped me earn 3 Adobe CC certifications this year, and will soon help me earn a 4th.
Then I might go back and take another crack at Cisco certification.
- A small example of how to use behavior trees in structuring LLM chatbot applications: https://github.com/keskival/behavior-trees-for-llm-chatbots
- A project for extracting meta-learned reinforcement learning algorithms out of a large language model: https://github.com/keskival/king-algorithm-manifesto
- A proof-of-concept of embodying an LLM chatbot into a Gym PoleCart environment: https://github.com/keskival/embodied-emulated-personas
I think there are lots of low hanging fruit SaaS apps that could be built right now leveraging ChatGPT.
The competition will grow and grow of course.
(Every page as a detailed about/why page)
Whenever you need to add a search experience to your SaaS project, you don't really think of building it yourself, however the established companies in the search engine space are lazy, retrograde and corrupt, and they absolutely don't deserve your money. (I know because I work for one of them.)
OpenAI has recently announced it will slash the cost of calls to its embeddings API by a whopping 75%. This is a huge opportunity for a startup to disrupt the search engine space.
With access to OpenAI's now-affordable embeddings API and to a vector database, one mid-level engineer can build a highly scalable custom search engine for ecommerce and retail, in a few weeks.
And yet nobody is talking about this.
I followed Patrick Collisons advice and started scouring through the research that generations past have done.
I was reading PG’s schlep blindness essay for inspiration, and the idea was right there in front of everyone, and thousands of people had passed over it; just as his essay suggested.
His essay also suggested ideas that help other startups like myself; and grow together with them.
Since it uses logic, its answers are more likely to be right than the subjectiveness of essays and things like that. Can't go wrong with logic! ;)
There's unlikely to be a gold rush of quickly monetizing half baked stuff this time.
There's endless ideas to shake up learning with LLMs.