Today's NYT Strands hints are easy if you're a remote worker.
Гостевой матч с «Бостон Брюинз» стал для 40-летнего форварда 1555-м в «регулярках» НХЛ. По этому показателю он опередил бывшего нападающего «Калгари Флэймз» Джерома Игинлу.
。关于这个话题，在電腦瀏覽器中掃碼登入 WhatsApp，免安裝即可收發訊息提供了深入分析
첫 집 구입 땐 취득세 최대 200만원 감면[부동산 빨간펜]
Фон дер Ляйен оценила идею вернуться к российскому топливу14:54
Feedback loop is too slow and context is bloatedSome of the work I'm doing right now requires parsing some large files. There's bugs in that parsing logic that I'm trying to work through with the LLM. The problem is, every tweak requires re-parsing and it's a slow process. I liken it to a slot machine that takes 10 minutes to spin. To add insult to injury, some of these tasks take quite a bit of context to get rolling on a new experiment, and by the end of the parsing job, the LLM is 2% away from compaction. That then leads to either a very dumb AI or an AI that is pretending to know what's going on with the recent experiment once it's complete.