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.
backend systems. Ultimately, as so often happens, it may have been IBM's success
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02 找到自己的生存法则2025年春节，DeepSeek横空出世，在没有任何推广和投流的背景下，凭借着低成本、高性能的开源模型，在短短两周时间内就超越ChatGPT成为全球增速最快的AI应用。
It all began last December when WBD agreed to sell its Warner Bros. studio and HBO Max streaming service to the streaming giant Netflix. Days later, Paramount Skydance lobbed in a hostile bid to buy all of WBD. Amid multiple twists and turns—and the CEOs of both bidding companies separately visiting President Trump to make their cases—WBD declared on Feb. 26 that it would agree to Paramount’s bid, which had gone through various permutations to make it more appealing. Netflix co-CEO Ted Sarandos declined to sweeten the offer, saying that for Netflix the deal had always been nice-to-have, not need-to-have.