공부할 때 멍청한 느낌이 들고 스스로가 가장 바보같을 때 진짜 학습이 일어난다는 거 공감.
공부는 아는 것을 확인하는 편안함이 아니라 모르는 것을 마주하는 불편함이고, 이 연구에서는 그 기분을 ‘생산적 멍청함’이라고 명명 하고 있음..
중요하지만 아직 답이 없는 문제를 풀기 위해, 기꺼이 바보 같은 기분을 견디기로 선택하는 용기가 필요하다고 함
Over the past month, some of you reported Claude Code's quality had slipped. We investigated, and published a post-mortem on the three issues we found.
All are fixed in v2.1.116+ and we’ve reset usage limits for all subscribers.
My tweet last week about Google's AI adoption drew a lot of pushback, to say the least.
Since then, Googlers from multiple orgs have reached out to me independently and anonymously. They've expressed fear of being doxxed, concern about what they saw as bullying of me, and general corroboration of my original tweet. I haven't verified each person's story, but the picture these Googlers paint is consistent across sources. It is more specific than what I originally wrote, and somewhat bleaker.
What they describe is a two-tier system. DeepMind engineers use Claude as a daily tool. Most of the rest of Google does not. When the question of equalizing access came up internally, the proposed response was to remove Claude for everyone — which DeepMind objected to so strongly that several engineers reportedly threatened to leave.
Non-DeepMind engineers get pushed onto internal Gemini variants behind router-style names that obscure which underlying model is actually serving a request. Multiple engineers describe regressions and reliability problems severe enough that some senior people have stopped using the tools. A senior manager on a major product line reportedly flagged attrition concerns over exactly this issue.
Googlers say leadership knows the gap is real. The response has been to mandate AI usage in OKRs and individual expectations, and to stand up an internal token-usage leaderboard. Unfortunately, managers have been told both that the leaderboard won't be used for performance reviews and, separately, that it absolutely will. And I hear other stories that Google's culture is not adapted properly yet for high-volume coding.
Addy Osmani's reply on behalf of Google said over 40,000 SWEs use agentic coding weekly. I don't doubt the number. But weekly use of a thin tool is precisely the box-checking I described in the original post. Volume of opens isn't adoption — and "weekly" is a low bar that includes a lot of people who tried it once and went back to writing code by hand.
The clearest thing I'm hearing is that Googlers do want to use high-quality agentic tools. They are asking repeatedly for better ones. But overall, this is not a picture of an engineering org that is fine.
My goal in the first tweet, and now, is always the same — get more people using AI and agentic coding. Nobody is as far ahead as they might look from the outside, and none of you are as far behind as you might be worried you are.
To all the Googlers who've reached out: thank you. You took a real risk and I appreciate you. Be safe. And good luck getting good models!
AI 툴 보조금 파티도 이제 슬슬 끝물인가 보네. 앤스로픽이 구독 지원 끊으니까 기업들 부담 확 늘어나는 중. 무제한으로 쓰다가 이제는 한 달에 얼마씩 예산 정해놓고 써야 할 판인데 결국 돈 없으면 다시 머리 굴려서 코딩해야 하는 시대가 오나 봄 ㅋㅋㅋ 공짜 점심은 역시 없었다.
damn-my-slow-kt - KT 인터넷 SLA 미달 자동 측정 & 요금 감면 신청 도구
- KT의 SLA(최저속도 보장제도)를 활용해 매일 자동으로 속도를 측정하고, 계약 속도의 50% 미만일 경우 자동으로 이의신청까지 대행
- KT는 매일 측정해야 매일 감면되는 구조라, 30일 연속…
https://t.co/YBK7Tzcbaw
내가 보려고 정리한
클로드 코드(Claude Code)
무료 스킬 저장소 5곳 🩵
1. anthropics/skills
- Anthropic 공식 제공 스킬 17개
- 문서 작성부터 생성형 아트까지 다양한 분야 커버
🔗https://t.co/BYF7lVvBQS
2. VoltAgent/awesome-agent-skills
- 주요 개발팀 및 커뮤니티가 엄선한 200개 이상의 스킬
🔗https://t.co/JeB96QsRKN
3. alirezarezvani/claude-skills
- 실제 프로덕션 환경용 스킬 192개
- OpenAI Codex, Gemini CLI, Cursor 등 8개 이상의 도구와 호환
🔗https://t.co/8KzA2hfGZk
4. ComposioHQ/awesome-claude-skills
- 단순 텍스트 생성을 넘어서는 고급 스킬들
- 이메일 발송, GitHub 이슈 생성, Slack 포스팅 등 1000개 이상의 앱과 연동
🔗https://t.co/iQPWRL2Sm3
5. sickn33/antigravity-awesome-skills ⭐ 가장 큰 규모
- 1,262개 이상의 범용 에이전트 스킬
- Claude Code, Copilot, Cursor, Gemini CLI 등과 모두 호환
- GitHub 스타 24,000개+
🔗https://t.co/D3oA7txsU0