Their resources are focusing on the science and practical applications of machine learning and neural networks, robotics for example.
In the US our resources are allocated towards fleecing investors with a flashy use-case that doesn’t have much practical use.
All of these tech companies, who are themselves heavily invested in the LLM bubble, are trying to push LLMs into everything. On top of that they’re using these artificially inflated adoption statistics to project future demand and then using that modeling to justify massive spending on hardware and datacenters, creating all kinds of secondary effects from the collapse of the consumer computing industry to local resource issues around power and water.
This is all resulting in massive negative sentiment on the topic of ‘AI’ (see: any social media post where AI is mentioned). Secondary effects of this are things like lower rates students entering the CS/ML field. After all, why try for a CS degree if everyone around you is saying that AI will replace all programmers or go into a field that is massively unpopular?
There’s also the opportunity cost of not putting resources towards other use-cases, like medicine and robotics leading to those fields falling farther behind other countries.
China has plenty of their own problems, but on this topic they at least have adults in the room making rational decisions. The US’s AI strategy is being decided by whatever sociopaths happen to have won the stock market lottery and the executives operating the companies who can only see as far as their next quarter’s bonuses.
Don’t forget this is an international game though. China is playing this game.
Their resources are focusing on the science and practical applications of machine learning and neural networks, robotics for example.
In the US our resources are allocated towards fleecing investors with a flashy use-case that doesn’t have much practical use.
All of these tech companies, who are themselves heavily invested in the LLM bubble, are trying to push LLMs into everything. On top of that they’re using these artificially inflated adoption statistics to project future demand and then using that modeling to justify massive spending on hardware and datacenters, creating all kinds of secondary effects from the collapse of the consumer computing industry to local resource issues around power and water.
This is all resulting in massive negative sentiment on the topic of ‘AI’ (see: any social media post where AI is mentioned). Secondary effects of this are things like lower rates students entering the CS/ML field. After all, why try for a CS degree if everyone around you is saying that AI will replace all programmers or go into a field that is massively unpopular?
There’s also the opportunity cost of not putting resources towards other use-cases, like medicine and robotics leading to those fields falling farther behind other countries.
China has plenty of their own problems, but on this topic they at least have adults in the room making rational decisions. The US’s AI strategy is being decided by whatever sociopaths happen to have won the stock market lottery and the executives operating the companies who can only see as far as their next quarter’s bonuses.