Being a CEO of a large corporation doesn't guarantee you the latest tech insight. You will be easily surrounded by yes men who speak what you wanted to hear.
I remember I grab and hold a vacuum cleaner and stand up and my parents are shouting "Look! He is standing the first time!" and I was puzzled what is so fuss about me standing.
But if it was my first time standing on my own, that must be 6-12 months old. If so how can I recognize my parents language so clearly?
Another memory was, There was a plush toy I really wanted, A gorilla holding banana, at a local supermarket called SATY. So I demanded my parents to buy it by speaking fluently.
Later, my parents told me a totally different story. Suddenly, I started shouting "Gori! SATY! Banana!" endlessly. It took them a while to figure out I wanted a plush of Gorilla holding banana sold at SATY.
We already have such position and it's called manager.
The manager's job is to manage multiple programmers to let them write code. A good manager should focus on management rather than write code himself.
But keep doing for many years will make manager out of touch from modern coding so he is starting to mismanage people or issue technically wrong order.
Such a creative era was until early 1990s. Back then, we have to implement almost everything that is provided by standard library and popular frameworks we take it for granted for now.
Because Fugu is not an independent model. They just use multiple existing SaaS models from OpenAI, Anthropic etc in background, gather response and generate results based on these response.
They claims that combining the results of multiple AI models and generate final result by using their in-house proprietary model improve the quality than using the single backend model.
It cause all sorts of doubts like: is their in-house model really exists? Is their in-house model really capable?
Personally, even if their claim is correct, such feature can be easily implemented in client side like Claude Code etc, using the equally capable model from background model to generate the final result.
I have a doubt that one of Three Virtues of a Programmer, laziness is still considered a virtue on AI coding era.
Now that AI coding speed and performance outperformed most of human. But AI still need human to be commanded. Yes, you can let AI agent manage sub-agents but still, human is at the top of manager who order AI what should be written.
So human must command and final say on when it's done.
As Windows more and more difficult to use at very basic, after passing certain threshold, just developing on Linux is more practical. Even for DirectX.
While the tread is swapping between "OMG Claude good. OpenAI was done for" and "OMG Codex good. Anthropic was done for". I've never heard about Gemini and Grok. It works mostly similar performance, but people don't mention that much.
Still, my impression is, Gemini hallucinate too much while Grok is always less capable than competitors so it's not worth using it.
What you describe had been happened already when programming task became using search engines, passing data between libraries, and delegating coding to off-shore workers.
https://github.com/EzoeRyou http://cpplover.blogspot.jp/