The Case Against Generative AI
wheresyoured.at
wheresyoured.at
To be clear, I started out as a fan of Gary Marcus and Ed Zitron, and a rabid anti-AI hater, because I tried GPT 3.5 soon after it was released and was extremely unimpressed with any of its capabilities. But after a while, I started to get uncomfortable with my closed mindedness, and so decided to try to give the tools a fair shake, and by the time I had decided to do so, the capabilities had expanded so much that I genuinely became impressed, and the more I stress tested them the more I began to gain a more nuanced understanding where there are serious traps and limits and serious problems with how the industry is going but just because a tool is not perfectly reliable does not mean it isn't very useful sometimes.
Totally, but I don't thinkthe average layperson, journalist or financial analyst will understand any of that nuance (nor pass that info on, because what gets clicks is outrage, and of course, Zitron sells clicks).
The core issue is that OpenAI is committing to spending hundreds of billions on AI data center expansion that it doesn't have and that it doesn't appear able to acquire, and this basic fact is being obscured by circular money flows and the finances of AI being extremely murky [1]. But Zitron is muddying this message by excessive details in trying to provide receipts, and burying all of it behind what seems to be a more general "AI doesn't work" argument that he seems to want to make but isn't sufficiently well-equipped to make.
[1] The fact that the Oracle and Nvidia deals with OpenAI may actually be the same thing is the one thing new to me in this article.
But what's the endgame? Is it to persuade people not to use these things? Make them illegal? Create some other technology that makes them obsolete or non-functional?