it is impossible to convince him that this is, in fact, not the case
He’s probably an investor.
The tech economy is struggling. Every company needs 20% more every year, or it’s considered a failure. The big fish have bought up every promising property on the map in search of this. It’s almost impossible to go from small to large without getting gobbled up, and the guys gobbling up already have 7 different flavors of what you’re trying to make on ice in a repo somewhere. There’s no new venture capital flowing into conventional work.
AI has all the venture capitalists buzzing, handing over money like it’s 1999. Investors are hopping on every hype train because each one has the chance of getting gobbled up and making a good return on investment.
These mega CEO’s have moved their personal portfolios into AI funding and their companies pushing the product will line their pockets indirectly.
At some point, that $200/pp/m price will shoot up. They’re spending billions on datacenters, and eventually those investments will be called in for returns.
When they hit the wall for training-based improvement, things got slippery. Current models are costing exponentially more, making several calls for every request. The market’s not going to bear that without an exponential cost increase, even if they’re getting good work done.
He’s probably an investor.
The tech economy is struggling. Every company needs 20% more every year, or it’s considered a failure. The big fish have bought up every promising property on the map in search of this. It’s almost impossible to go from small to large without getting gobbled up, and the guys gobbling up already have 7 different flavors of what you’re trying to make on ice in a repo somewhere. There’s no new venture capital flowing into conventional work.
AI has all the venture capitalists buzzing, handing over money like it’s 1999. Investors are hopping on every hype train because each one has the chance of getting gobbled up and making a good return on investment.
These mega CEO’s have moved their personal portfolios into AI funding and their companies pushing the product will line their pockets indirectly.
At some point, that $200/pp/m price will shoot up. They’re spending billions on datacenters, and eventually those investments will be called in for returns.
When they hit the wall for training-based improvement, things got slippery. Current models are costing exponentially more, making several calls for every request. The market’s not going to bear that without an exponential cost increase, even if they’re getting good work done.