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Yes it's worth it, as long as he will get a job working on or with AI. There will still be plenty of jobs in 4 years and he will presumably use AI so much in co

Yes it's worth it, as long as he will get a job working on or with AI. There will still be plenty of jobs in 4 years and he will presumably use AI so much in college that he will be better at using it than most workers who did not study CS

scarface_74 1y ago
Saying working with AI is like saying working with a mouse and keyboard now. It’s table stakes not a competitive advantage
- danielmarkbruce 1y ago
  There is a difference between having the skills to build a mouse from scratch and the skills to use a mouse....
  - JustExAWS 1y ago
    Don’t you think a) everyone is thinking the same thing and it’s going to be common place in 2029, b) he is going to gain enough skills at a tier 2 state school (I graduated from one so that’s not meant to be an insult) to stand out , c) that the companies that need the top talent are going to recruit people graduating from there?
    - danielmarkbruce 1y ago
      Yes, many are thinking the same thing. The nice thing is AI is complicated enough that really learning the field is hard enough that most people won't ever actually be valuable in the field.
      - JustExAWS 1y ago
        Look at the people who are getting hired to do the hard AI problems. How many of those are new grads from tier 2 schools? In 2029 what do you think that cohort is going to look like?
        danielmarkbruce 1y ago
        The things which look like "easy" AI problems are actually harder than they seem. There are no clean abstractions here, if you don't know the math you are kinda hosed doing something as simple as fine tuning an LLM for some specific use case, or even building a good application. For people who a really actually good, there are millions of opportunities outside doing "foundation" level work.
        JustExAWS 1y ago
        There are in fact abstractions https://aws.amazon.com/blogs/aws/customize-models-in-amazon-bedrock-with-your-own-data-using-fine-tuning-and-continued-pre-training/ https://aws.amazon.com/blogs/aws/customize-models-in-amazon-... https://cloud.google.com/vertex-ai/generative-ai/docs/models/tune-models https://cloud.google.com/vertex-ai/generative-ai/docs/models... https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/fine-tuning-overview https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/... So now where do you think things will be in 2029 by the time her son graduates? And you still haven’t answered the question - why would this be something that everyone isn’t pursuing, there are already people who are doing it and upskilling in it and what are the chances that he is going to be competitive coming from a tier 2 school as a new grad?
        danielmarkbruce 1y ago
        Those are tools, not abstractions. What happens when you try to fine tune your model and it doesn't get better (or it gets worse) at the task you are optimizing for? What happens when it gets better in training then doesn't get better on live data? You actually have to know what you are doing in this space. The question was answered - the field is complicated - deciding to do it and being capable aren't the same thing. The field is not going to be inundated with capable people. By your thinking, one cannot be paid millions of dollars to be a lawyer because of "competition".
        JustExAWS 1y ago
        And guess how many of those lawyers are recruited from a tier 2 school? Also companies aren’t paying new grad lawyers millions of dollars. What are the chances that he is going to have the capabilities? Saying that he can make a lot of money by chasing after the same thing everyone else is chasing after and has a years long head start is like saying he should become a football player because of the money he can make in the NFL. The number of companies that need any more than the abstractions available from the cloud providers is vanishly small and will grow smaller in 4 years. Those companies aren’t hiring new grads from tier 2 schools.

scarface_74 1y ago

Saying working with AI is like saying working with a mouse and keyboard now. It’s table stakes not a competitive advantage

danielmarkbruce 1y ago
There is a difference between having the skills to build a mouse from scratch and the skills to use a mouse....
- JustExAWS 1y ago
  Don’t you think a) everyone is thinking the same thing and it’s going to be common place in 2029, b) he is going to gain enough skills at a tier 2 state school (I graduated from one so that’s not meant to be an insult) to stand out , c) that the companies that need the top talent are going to recruit people graduating from there?
  - danielmarkbruce 1y ago
    Yes, many are thinking the same thing. The nice thing is AI is complicated enough that really learning the field is hard enough that most people won't ever actually be valuable in the field.
    - JustExAWS 1y ago
      Look at the people who are getting hired to do the hard AI problems. How many of those are new grads from tier 2 schools? In 2029 what do you think that cohort is going to look like?
      - danielmarkbruce 1y ago
        The things which look like "easy" AI problems are actually harder than they seem. There are no clean abstractions here, if you don't know the math you are kinda hosed doing something as simple as fine tuning an LLM for some specific use case, or even building a good application. For people who a really actually good, there are millions of opportunities outside doing "foundation" level work.
        JustExAWS 1y ago
        There are in fact abstractions https://aws.amazon.com/blogs/aws/customize-models-in-amazon-bedrock-with-your-own-data-using-fine-tuning-and-continued-pre-training/ https://aws.amazon.com/blogs/aws/customize-models-in-amazon-... https://cloud.google.com/vertex-ai/generative-ai/docs/models/tune-models https://cloud.google.com/vertex-ai/generative-ai/docs/models... https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/fine-tuning-overview https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/... So now where do you think things will be in 2029 by the time her son graduates? And you still haven’t answered the question - why would this be something that everyone isn’t pursuing, there are already people who are doing it and upskilling in it and what are the chances that he is going to be competitive coming from a tier 2 school as a new grad?
        danielmarkbruce 1y ago
        Those are tools, not abstractions. What happens when you try to fine tune your model and it doesn't get better (or it gets worse) at the task you are optimizing for? What happens when it gets better in training then doesn't get better on live data? You actually have to know what you are doing in this space. The question was answered - the field is complicated - deciding to do it and being capable aren't the same thing. The field is not going to be inundated with capable people. By your thinking, one cannot be paid millions of dollars to be a lawyer because of "competition".
        JustExAWS 1y ago
        And guess how many of those lawyers are recruited from a tier 2 school? Also companies aren’t paying new grad lawyers millions of dollars. What are the chances that he is going to have the capabilities? Saying that he can make a lot of money by chasing after the same thing everyone else is chasing after and has a years long head start is like saying he should become a football player because of the money he can make in the NFL. The number of companies that need any more than the abstractions available from the cloud providers is vanishly small and will grow smaller in 4 years. Those companies aren’t hiring new grads from tier 2 schools.