They need to own up to their mistake sending PII to an analytics tool. They could have easily sent a uuid identifier for each user instead of email, name and organisation. Seems like a major blunder on their side.
Very interesting idea. I'm thinking about creating an AI portfolio manager (private) that invests for the long term.
Some things to watch out for:
- LLMs, by default, don't follow the best practices for trading or investing. Without careful constraints, they can ignore fundamental investment best practices. This is something I learned while building https://decodeinvesting.com/chat.
- I see Claude bought a penny stock SMX. This could be volatile, and the price could change significantly in 24 hours before the next execution at 9:30 am.
- The LLMs are day trading on some volatile securities; while LLMs could be good at day trading, unlike humans (we will find out), this setup has the disadvantage of only trading once a day.
I would be very cautious about doing this with money you actually need. Even the best performing human day traders underperform the indexes over long time horizons. Why would a robot be better?
from a study in Brazil: "97% of all individuals who persisted for more than 300 days lost money. Only 1.1% earned more than the Brazilian minimum wage and only 0.5% earned more than the initial salary of a bank teller — all with great risk."
The cutoff date for the data used to train the model is October 2023, but the AI Assistant can access historical, real-time market data, search, and browse the web. It's still not perfect, though.
It's just a research and analysis tool that automates the process of reading lots of SEC Filings and earnings call transcripts and checking the news and stock quotes back to back.
Just automates the research that users would do manually.
