> I'm not sure we as normal people have any say anymore [in regards to] where our money is going to be invested.
Unless that was your money being invested, and it was a substantial fraction of the total pool of money being invested, was there ever a time when "normal people" had a real say in where the money was being invested?
AFAIK, the only thing "normal people" can do is vote with their "feet" and pick a different prepackaged investment product, different investment company, or take their money and do the investment themselves.
Honestly, this comment of yours seems a non-sequitur and doesn't really address anything I said... you don't have the power to bend investment firms to your whim, but that doesn't mean that you need to -knowingly or not- carry water for the major LLM manufactures by perpetuating the "But think of how great the tools will be in the future!" meme. It has been years now, and everyone who has been paying attention can say with confidence that the LLM-based tools of the future are never that great... they're often not useless, but they're not worth the billions of dollars that have been and continue to be poured into their manufacture.
Related to your "We little people don't have any power anymore!" commentary, I note that TFA mentions that the kernel community has found that these LLM-based bug-finding tools have a false positive rate of ~50%. TFA goes on to mention that Coverity spent a huge number of years trying so hard to get people to buy its automated scanning software that had only a 20% false positive rate, and could not get enough people to buy the software.
Coverity went under because everyone hated how stupid and annoying the tooling was... at a 20% false positive rate. Once the hype machine starts slowing down, no one working at the coal face is going to buy a tool with a 50% false-positive rate. I personally very strongly believe that even if the tools had a 10% false positive rate, no one would pay the actual price that OpenAI and/or Anthropic would have to charge to recoup the research and manufacturing costs of a cutting-edge LLM-based bug-finding tool.