tqian

6 ms·

1. 1.▲
   by tqian 7mo ago

   I teach computer science at a public university. Every semester I have kids who come to classes but never turn in any homework. They also don't withdraw either. I'm literally forced to fail them because I have nothing to grade the
2. 2.▲
   by tqian 7mo ago

   Humans make such mistakes slowly . It's much harder to catch the "drift" introduced by LLM because it happens so quickly and silently. By the time you notice something is wrong, it has already become the foundation for more
3. 3.▲
   by tqian 7mo ago

   To borrow a concept of cloud server renting, there's also the factor of overselling. Most open source LLM operators probably oversell quite a bit - they don't scale up resources as fast as OpenAI/Anthropic when requests incre
4. 4.▲
   by tqian 8mo ago

   Zed on Linux is buggy as hell. On macos it's somehow more stable. Maybe Zed is indeed a "good" example of Ai-coded products.
5. 5.▲
   by tqian 8mo ago

   Bigger than Windows 98
6. 6.▲
   by tqian 9mo ago

   Oh junior devs submit PRs that don't fully work all the time.
7. 7.▲
   by tqian 9mo ago

   I have this DVD set in my basement. Technically, there are still methods for estimating the probability of unseen ngrams. Backoff (interpolating with lower grams) is an option. You can also impose prior distributions like a Bayesian so that
8. 8.▲
   by tqian 9mo ago

   Thank you for this wonderful answer.
9. 9.▲
   by tqian 11mo ago

   If models are profitable once trained, isn't it weird that chatgpt and Claude have $200 tiers that still have usage limits?