hoyo1s

AI summaries are mostly shit.

Yes, and I think this is often a problem on the power generation side. The damn cost of energy storage and photovoltaics has been falling rapidly, hydropower and wind power costs are not high at all.

The key is to take advantage of economies of scale: The cost of renewable energy generation is mainly in the initial investment and equipment.

As long as you mass-produce enough equipment, the cost of each device will decrease due to economies of scale. However, thermal power generation is different. The cost of thermal power generation is mainly fuel, and the lower limit of the cost is much higher than photovoltaic power generation.

I don’t understand why so many people are obsessed with using fossil fuels for power generation, as if it is really more efficient... thermal power no longer has a price advantage a few years ago.

Sometimes one just need [language or tech stack] to do something, especially for some performance/security considerations.

For now LLMs still suffers from hallucination and lack of generalizability, The large amount of code generated is sometimes not necessarily a benefit, but a technical debt.

LLMs are good for open and fast, prototype web applications, but if we need a stable, consistent, maintainable, secure framework, or scientific computing, pure LLMs are not enough, one can't vibe everything without checking details

Strict type-checking and at least with some dependent type and inductive type