caCaleb Writes Code

Caleb Writes Code

@calebwritescode

YouTube (120k+) @CalebWritesCode

Caleb Writes Code은(는) 틱톡 크리에이터로, 팔로워 43.1K, 좋아요 339.3K입니다. 동영상 평균 조회수는 20.1K회, 참여율은 6.2%입니다. 자주 쓰는 해시태그: #machinelearning, #anthropic 및 #llm.

https://youtube.com/@calebwritescode?si=lhfGyU6itb8FT51G
43.1K
팔로워
2
팔로잉
339.3K
좋아요
20.1K
평균 조회수
참여율: 6.2%
43.1K
팔로워
339.3K
총 좋아요
20.1K
평균 조회수
127
동영상
2
팔로잉
0
즐겨찾기
6.2%
참여율

성장 및 예측

마지막 업데이트7일 예측30일 예측
팔로워43.1K🔒 Pro🔒 Pro
총 좋아요339.3K▲ 🔒 Pro🔒 Pro
동영상127🔒 Pro🔒 Pro
평균 조회수20.1K🔒 Pro🔒 Pro

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광고 게시물 1건당 예상 단가: $215~$1.1K (팔로워 1,000명당 약 5~25달러 기준). 시청자 규모로 추정한 값이며 공개된 수입이 아닙니다.

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최근 동영상

최신 영상: 2026-10-14

Can we appreciate the breakthrough that OpenAI made in Navier-Stokes without all the drama behind it? OpenAI took a similar approach by taking C/D counter-example by blowing up Euler's equation without forced which is something that Buckmaster and Alpoge was not able to do, though with enough time, they could have gotten there. While we are still finding out more details on denied allegation of OpenAI cheating, it's important to understand first how Navier-Stokes actually works, and second understanding the approach taken by OpenAI that led to the breakthrough.. which would likely need another 1-2 years for the solution to be accepted or rejected by the institution. #math #mathematics #newton #newtonian #physics #openai #ai #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm
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▶ 8.4K ❤ 0 💬 0

Can we appreciate the breakthrough that OpenAI made in Navier-Stokes without all the drama behind it? OpenAI took a similar approach by taking C/D counter-example by blowing up Euler's equation without forced which is something that Buckmaster and Alpoge was not able to do, though with enough time, they could have gotten there. While we are still finding out more details on denied allegation of OpenAI cheating, it's important to understand first how Navier-Stokes actually works, and second understanding the approach taken by OpenAI that led to the breakthrough.. which would likely need another 1-2 years for the solution to be accepted or rejected by the institution. #math #mathematics #newton #newtonian #physics #openai #ai #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm

Substack: https://substack.com/home/post/p-215679920 DeepSeek-V4.1-Flash is beautifully crafted model that introduced so many bold takes on model architecture. With CED, the model only activates 50% of the model during prefill which saves huge compute overhead, and CSA2 on top allows KV Cache reduction without sacrificing quality.  mHC optimization they added in kernels by simply rearranging the algebra on the residual operation also helps save communication overhead between SM and HBM. Every inch of the model was built with intention and I can see it reading through the entire research paper. Great work @deepseek_ai team in constructing this, but more importantly, sharing the knowledge to the world. This is invaluable. #deepseek  #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm
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Substack: https://substack.com/home/post/p-215679920 DeepSeek-V4.1-Flash is beautifully crafted model that introduced so many bold takes on model architecture. With CED, the model only activates 50% of the model during prefill which saves huge compute overhead, and CSA2 on top allows KV Cache reduction without sacrificing quality. mHC optimization they added in kernels by simply rearranging the algebra on the residual operation also helps save communication overhead between SM and HBM. Every inch of the model was built with intention and I can see it reading through the entire research paper. Great work @deepseek_ai team in constructing this, but more importantly, sharing the knowledge to the world. This is invaluable. #deepseek #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm

Jev, a new type of model that is taking over how we think about getting information out of the model. #jev #ai #tech #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm
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Jev, a new type of model that is taking over how we think about getting information out of the model. #jev #ai #tech #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm

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2026-11-01 기준 Caleb Writes Code(@calebwritescode)의 TikTok 팔로워는 43.1K명입니다.

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