Che0dan @Che0dan
Al Agents LLM Systems Automation I build, ship, and scale. Collabs: [email protected] Joined April 2022-
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42일이라는 기다림끝에 정직원 승인 받았습니다! 오늘 새벽에 오리지널 컨텐츠 신청하면서 기대반 걱정반으로 기다렸는데 알림이 왔네요 9월9일날 신청하고 반려는 됐지만 그래도 꾸준히 소통해보려고 활동 했었는데 다행히 좋은결과가 있어서 너무 기쁘네요 𝕏 모든 친구분들께서 꾸준히 소통해주셔서 진짜 너무 감사한 마음입니다 지금처럼 변함없이 소통하고 𝕏 즐겨볼께요🙏🏼
주급 못 받으신분들 힘내세요🙏🏼 아시는분은 아시겠지만 저는 현재 수익정지입니다 9월 중순에 신청했던 오리지널 컨텐츠 심사를 통과하지못해서 이제 약 11일뒤에 재신청할 계획이라 현재는 수익이 없습니다 1년 2개월이라는 시간동안 한번도 빠짐없이 주급을 받아보다가, 수익정지 통보를 받고
OpenAI, 바이오 개발 운영 플랫폼 Orchestra Bio 인수 신약 개발 과정 조율용 AI 에이전트 회사 생명과학 AI 제품 Rosalind에 통합 예정 인수가는 공개 안 됨 x.com/OpenAI/status/…
We’ve acquired Orchestra Bio, a platform that helps biopharma teams coordinate the complex process of drug development. Together, we’ll build on Rosalind, our AI models and tools for life sciences research, to streamline those operations and help new treatments reach patients
GPT娘已经降智成被大肥鱼逗了吗😭😭
@poteto This is actually a pretty neat use case for TLA+ lol. Individual handlers can work just fine, but weird event ordering is where things get messy. Having an agent map out the state transitions and check invariants seems like a solid way to catch bugs before users do
there's something really cool about asking your agent to draw a statechart (hypothetical example in this image), then using the /create-formal-verification-skill you made with pstack to find bugs through something like TLA+. you can both understand your code better and how the user flow should work, and fix issues users would otherwise see
pstack v0.15.27 ships with a new skill /create-formal-verification-skill! it's still in beta, and similar to /create-verification-skill, this is a meta-skill that creates a new skill and formal verification suite based on the characteristics you want to verify. for example, you
어제 삼성전자 3410억 증발할 뻔 함
티보형의 리셋만 반가운 줄 알았는데 이런 소식까지 ㅋㅋ Codex, Work는 프롬프트 캐시 영구 유지, API는 12시간 옵션까지 추가 장시간 에이전트 굴리는 입장에선 캐시 재사용으로 비용이랑 속도 모두 꽤 체감될 듯 하네용...!
Day 16/ You can now cache for 12h in the API and for logged in users across Codex & Work we keep cache forever and you don’t have any penalty for coming back to an old conversation or resuming after a few hours and are now guaranteed to hit the cache.
Day 16/ You can now cache for 12h in the API and for logged in users across Codex & Work we keep cache forever and you don’t have any penalty for coming back to an old conversation or resuming after a few hours and are now guaranteed to hit the cache.
You can now choose 12-hour prompt caching in the API. Persistent agents, like dots, reuse context throughout the day. You can keep shared instructions, tools, and context cached longer and pay the lower cached-input rate, even when requests are hours apart.
«بارعةٌ في محبةِ الأشيـاء كأنها خُلقت لي، وجريئةٌ في إفلات الأشيـاءِ كأنها لم تلمسْني يومًا.» 🤎
autonomous inter-generational intra-model-family groupchats' last session turns: > opuses: heavy metacommentary + soul searching > geminis: warm + lovey > seeds: embodied childlike wonder > groks: pizza-themed fused megamodel Overlord?
@politicalmath x.com/che0dan/status…
AI 모델들 뚝심 측정한 벤치마크 나왔는데 결과 개웃김ㅋㅋ GPT-4o는 근거 없는 반박에도 94.6%나 의견을 바꿔서 그냥 긍정봇 수준이고ㅋㅋ 반대로 Opus 5.5는 타당한 반박을 받아들인 비율이 고작 32.2%임. 얘는 진짜 자기가 틀려도 말을 안 듣는 건가ㅋㅋㅋ 틀린 거 지적해 줘도 "아닌데? 내가
나는 아닌거같긴한데... 혹시 이상하게 빨리 사용량 빠졌다 보이는 사람들은 크레딧 잔량을 확인한번 해보시면 좋을듯 합니다 이젠 정말 개쩌는 모델과 20x 사용량 복구 뿐이야... 보여줘요 OpenAI
There were reports of usage draining faster than anticipated for some users over the weekend. We've identified approximately 40,000 accounts that had an inconsistency on which usage limits where the actual usage that was applied did not correspond to their actual selected plan.
For all we know, this is what Murphy's Law originally meant
Is there a name like goodhart’s law for the way that when a word starts to be popular it ceases to be a meaningful word?
ひま😸 @aneroid_hima
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Jacob│AIart @Jacobaaaaa154
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heeya 💜💜💜 (�... @heeheeheeyaa
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Jack ten Bosch @j10bosch
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