who is actually making sustainable revenue solving a real problem using AI? I can only think of the foundational models(OpenAI, Gemini etc), coding helpers(Cursor, GH Copilot)
I hope you don’t pay for that service, you could train and run it yourself in… a week?
- Language translation: is, in general, much better with the ML models than prior automated attempts.
- Internal search tools (GPT + all your internal docs, private)
- Voice-to-text transcription in lots of medical and medical adjacent fields. HN tends to be skeptical of this ("It's going to hallucinate diagnoses!"), but it has a lower error rate than traditional speech rec and human transcription. I met someone who built their own no-code speech to text for their partner's veterinary practice and saved them an hour a day of notetaking.
There's a bunch of businesses in all these areas.
the actual hard part of this which is searching for relevant stuff to feed the LLM, which it just formulates into a readable stuff has been around for years. vector databases have been around forever.
Alexa in the home is much better now than it used to be, but still way worse than voice chat with ChatGPT.
Not a foundational model nor a coding helper.