More concept art for the project.
In benchmarks, this alternative can run anywhere between 2x to 120x faster than Web streams in every runtime I've tested it on (including Cloudflare Workers, Node.js, Deno, Bun, and every major browser). The improvements are not due to clever optimizations, but fundamentally different design choices that more effectively leverage modern JavaScript language features. I'm not here to disparage the work that came before — I'm here to start a conversation about what can potentially come next.
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Pavitt thinks "it's fine, helpful, even to have faith that your person is out there, so long as you know there are many people that you could form a really great connection with and stop expecting anyone to be perfect".
Moment of introspection aside, I’m not sure what the future holds for agents and generative AI. My use of agents has proven to have significant utility (for myself at the least) and I have more-than-enough high-impact projects in the pipeline to occupy me for a few months. Although certainly I will use LLMs more for coding apps which benefit from this optimization, that doesn’t imply I will use LLMs more elsewhere: I still don’t use LLMs for writing — in fact I have intentionally made my writing voice more sardonic to specifically fend off AI accusations.
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圖像加註文字，作者在巴黎交換年期間於一所中學工作在將近二十年沒有學習新語言之後，我即將開始學一些中文和葡萄牙語。在六天的時間裡，我每天只會花 30 分鐘完成這些任務與測試。我必須按指示完成，不能提出任何問題，並且等到實驗結束後才會得到回饋。
「如果你被丟到葡萄牙、巴西或任何葡語國家，你所聽到的語言絕不會按照教科書般的順序展示，從問候語開始慢慢展開，」雷布夏特解釋說。「相反地，你會在不同情境中聽到大量語言：有人在咖啡館點餐、街上的對話、背景裡播著足球解說。」，更多细节参见safew官方版本下载