Last stages of capitalism for tech is usually in the form of an ipo of some sort which is what this will lead to.
There will be other cool shit obviously with integrations and tools that will hopefully trickle down to open source models but the writing is on the wall. This is a cash out and enshittify move.
The best news out of it is we will start to see less and less
“our company is Ai and we shoved Ai into said thing” as the companies late to the game will continue to shoot their shot until OpenAI has completely dominated the market and investors stop caring.
AI peaked a while ago IMO, the nail in the coffin for me was Microsoft making deals for nuclear power plants to power their data centers for ML and AI. It’s great they’re using nuclear power since it’s at least a clean source of energy, but it’s also extremely telling of the limitations and power requirements for these languages models. Without some kind of power reduction breakthrough, AI will continue to stall while these companies think of new ways to sell snake oil and gimmicks.
I was just thinking to myself as I got mad at my Google Home speaker for now sucking that they probably did it on purpose because the electrical and processing requirements were too high to keep it at the levels from, say, 2019. They had to cut off half of the assistant’s brain to stop draining money.
Aaaaand
Pop goes the AI bubble.
Last stages of capitalism for tech is usually in the form of an ipo of some sort which is what this will lead to.
There will be other cool shit obviously with integrations and tools that will hopefully trickle down to open source models but the writing is on the wall. This is a cash out and enshittify move.
The best news out of it is we will start to see less and less “our company is Ai and we shoved Ai into said thing” as the companies late to the game will continue to shoot their shot until OpenAI has completely dominated the market and investors stop caring.
AI peaked a while ago IMO, the nail in the coffin for me was Microsoft making deals for nuclear power plants to power their data centers for ML and AI. It’s great they’re using nuclear power since it’s at least a clean source of energy, but it’s also extremely telling of the limitations and power requirements for these languages models. Without some kind of power reduction breakthrough, AI will continue to stall while these companies think of new ways to sell snake oil and gimmicks.
I was just thinking to myself as I got mad at my Google Home speaker for now sucking that they probably did it on purpose because the electrical and processing requirements were too high to keep it at the levels from, say, 2019. They had to cut off half of the assistant’s brain to stop draining money.
Huh, never thought of that that way.