> rather than a fixed set of discreet programs "take it or leave it".
> If the issue is security, a much more interesting problem for the engineering team to do is design the programming environment for the bankers so they cannot hurt themselves.
Interesting take but it doesn't compute. When engineering team teams design programming environments so that people can't hurt themselves they will be locked into a "take it or leave it" set of environments.
Also, you do know security isn't just about engineering, it is also about data right?
How do you suppose it works when bankers who have day to day access to sensitive data as part of their job - upload it to AI? What to do then? Restrict data access?
> rather than a fixed set of discreet programs "take it or leave it".
This part always amuses me. AI boosters seem to think everyone hosting their own bespoke app is the next big thing. But who manages that? Banks are not tech giants. Most engineering teams don't bring in money and headcounts are strictly managed. As the article says:
> "He told Bloomberg that traders and bankers had built tools with AI and passed them to the firm's engineers, of whom there are about 12,000, to be improved."
So, how does engineering with limited staff design a safe environment and improve 12k apps. I am sure Goldman's management wont be thrilled about increasing engineering headcount to match these expectations.