If you want to talk about such stuff, please comment using own experiences and real worth that you experience, rather than echoing so called visionaries that just extrapolate a graph.
What an interesting reaction. I wonder where it came from?
I can't tell, since when I went to get some quotes, I couldn't t access the article anymore since it disappeared behind a paywall.
I don't know Mr. Somers personally, but I found the essay on his experience of adopting AI in his professional practice both interesting and informative.
I might be cynical, since this is not my first rodeo. I.ow. it is not the first fabled revolution that doesn't pan out. Despite being in a field that AI where considered key (machine vision, all about pattern matching), my suspicion this will be like the GPGPU/Cuda revolution before. Lots of promises, some high end far out uses (specially in academy and high profile corporate cases), but limited and to longer timescales otherwise.
Do you daily program a GPGPU? Right.......
And I believe it was Oliver Heavyiside who said "Some learn by experience: I prefer to learn from the experience of others." Some wisdom there, and I don't question that Somers has had far more experience of the profession than I have, and at 80 I don't expect to accumulate it.
Trust is good, fact checking is better. The internet is already enough of an echo chamber.
Whatever. I would be pleased to read about your own views of the future of "centaurs" in software as a profession.
AI is much too diverse to be heaped in such narrow terms. The current hype conflates everything from more advanced pattern matching, image upscaling and spatial noise reduction via the known large language models(codepilot, chatgpt) to far out visions with Commander Data like aspirations. One could argue that many of the lower end forms are not really AI but simply heavier matrix calculations that happens to reuse AI libraries and hardware because they can live with fewer bits of precision.
This is really clearly visible in the discussion about Windows 12 AI requirements. The Windows 12 AI revolution has the same general tenet as this thread (mostly large language models), but those rarely run on customer AI hardware. If you read closer, the AI hardware is all about Teams noise reduction and video upscaling. Everything that can be done on GPUs already, just on slightly lower power and lower precision GPGPU hardware rebranded as AI engines.
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