That's slowly changing. I know some relatively non-tech savvy young people using things like Claude for various reasons, so people are exploring options.
I wonder how much of this is brand name? Like Kleenex. Non-tech people might not search for LLM, generative AI, etc. ChatGPT may just be what people have heard of. I’m assuming OpenAI has a large advantage over Anthropic, and the name helps, but I bet the name is exaggerating the difference here a bit. Not everyone buys Kleenex branded Kleenex.
It's a bit of both, in any technological shift, a particular set of skills simply becomes less relevant. Other skills are needed to be developed as the role shifts.
If we're talking about simply cutting costs, sure -- but those savings will typically be reinvested in more talent at a growing company. Then the bottleneck is how to scale managing all of it.
Honestly, why isn't this same service baked into my OS? the reader there is really atrocious, but I imagine even for a single voice a pretty small model can be downloaded and made available as a plugin for the reader app.
I think we just haven't built complex enough architectures to allow this. I have a few ideas boiling that would help facilitate long term context understanding and recall.
It would be neat to see the process, where they get the data from, how they analyze it.
It would be neat to also see another experiment of a MAS doing this and coordinating to gamble together. Perhaps even different system/arch/expert configs.
Data gets pulled from the Alpaca News API in the morning, then it gets sent to all three models. You can see a summary of the prompt used to determine the recommendations here: https://news.ycombinator.com/item?id=42560034
It currently makes up to recommendations, since not all stocks support fractional shares (I'm only doing $5 per trade). As part of the buy recommendation, a holding period is suggested as well.
Once the holding date is reached, that is when the sell order happens.
Would love to answer any other questions you may have.
