moreice

I agree with you. This generation of LLMs is on track to automate knowledge work.

For the US, if we had strong unions, those gains could be absorbed by the workers to make our jobs easier. But instead we have at-will employment and shareholder primacy. That was fine while we held value in the job market, but as that value is whittled away by AI, employers are incentivized to pocket the gains by cutting workers (or pay).

I haven't seen signs that the US politically has the will to use AI to raise the average standard of living. For example, the US never got data protections on par with GDPR, preferring to be business friendly. If I had to guess, I would expect socialist countries to adapt more comfortably to the post-AI era. If heavy regulation is on the table, we have options like restricting the role or intelligence of AI used in the workplace. Or UBI further down the road.

I'm sorry but the speech patterns of this article were so blatantly from Claude, I couldn't get past the first two paragraphs.

No, it will not affect you. The above post is mostly correct, but it's misleading because it's from the perspective of a trader trying to make short term profits. But most of us are considered investors, we periodically buy/sell low volume of liquid ETF/funds/stocks and hold our positions for years. Market makers do collect a tiny premium for every trade, but it's irrelevant for the time horizon that investors are concerned with.

I can see the value of writing an emulator, but what was the benefit of translating from machine code to assembly instructions?

You can test this hypothesis by questioning GPT-4 until you hit a detail that it doesn't know. It will say something like "Without more context or a clearer reference to this detail in my training data, I can't provide a definitive answer.". Then you ask it to speculate about what the answer might be.

On Reddit, I've heard from people in the games industry that concept artists are being replaced by AI like Midjourney. Concept art can be generated via a prompt by the game designers and art directors.

I tried asking GPT-4 a math question and it does do math:

Me: "What (8 * 25) / 14 + 4 - 2?"

AI: "Let's break down the expression and solve it step by step:

    Multiply 8 and 25: 8 * 25 = 200
    Divide the result by 14: 200 / 14 ≈ 14.2857 (rounded to four decimal places)
    Add 4 to the result: 14.2857 + 4 = 18.2857
    Subtract 2 from the result: 18.2857 - 2 = 16.2857 (rounded to four decimal places)

So, the result of the expression (8 * 25) / 14 + 4 - 2 is approximately 16.2857."

The backlog might shrink quickly when the LLM is testing and debugging the software 24/7 for the cost of a few dollars per hour.

Agreed, also consider C++ whose type system uses implicit conversions and mutability by default, leading to a number of non-memory related bugs.

What if the items in the array are bigger than a cache line?

It's absolutely true that C++ is too big to keep in one's head, that doesn't mean people can't or don't care to do excellent programming in it. A good team can create quality products in any language. It's possible that your experience has the slight bias that teams that are already effective in C++ don't hire consultants to teach them C++ courses.

It does delete the file, as long as no other processes are accessing it and there are no other hard links to it.