저도 Cloudflare에서 D1 잘못 썼다가 1,455만원 ($10,846) 청구 받았네요. 1. D1 루프 버그로 $6,209 청구, 9/24에 전액 납부. 2. 10/6 상황 파악 후 문제 서비스 중단. 3. 10월달 청구 예정 $4,637 4. 10/6 감면 티켓 접수 5. 10/12 진행 문의 6. 10/13 결과: $5,704 "계정 크레딧" 으로 제공 7. 10월달 청구 예정 $4,637 는 $5,704 크레딧으로 퉁치라는셈 이 분은 $10,701, 바이럴 사흘 만에 카드로 전액 환불. 같은 버그, 같은 회사. 목소리 크면 환불, 조용히 티켓 쓰면 크레딧. 이게 공정한 건가요? @dok2001 @ashleypeacock

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.

Announcing one more launch: ChatGPT Sites can now host MCP servers, including plugin extensions! 🤯 > @⁠sites create a todo list that I can use in ChatGPT This will: · Create an MCP server with extensions · Deploy that MCP server to Sites · Turn the MCP server into a plugin · Install the plugin for you across web, mobile, and desktop ChatGPT is slowly becoming malleable software that anybody can customize to their needs. Very excited to see what you all build with this!