本文逐一拆解a16z这三份报告的核心判断,以及这些判断背后,钱正在往哪里流。
It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.
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revocability and the presence of ATMs under bank surveillance) to be relatively
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Chandelure is another "random inanimate object" Pokémon, which is best described as a ghostly chandelier. It's the final evolution of a line that also includes a ghostly candle and a ghostly lamp. One thing I love about Chandelure is that it has a Mega Evolution in Pokémon Legends: Z-A, turning it into an even more ornate chandelier. We love a Pokémon who can dress for the occasion.,这一点在safew官方版本下载中也有详细论述