caCaleb Writes Code

Caleb Writes Code

@calebwritescode

YouTube (120k+) @CalebWritesCode

Caleb Writes Code là nhà sáng tạo TikTok với 43.1K người theo dõi và 339.3K lượt thích. Mỗi video có trung bình 20.1K lượt xem, tỷ lệ tương tác 6.2%. Hashtag dùng nhiều nhất: #machinelearning, #anthropic và #llm.

https://youtube.com/@calebwritescode?si=lhfGyU6itb8FT51G
43.1K
Người theo dõi
2
Đang theo dõi
339.3K
Lượt thích
20.1K
Lượt xem TB
Tỷ lệ tương tác: 6.2%
43.1K
Người theo dõi
339.3K
Tổng lượt thích
20.1K
Lượt xem TB
127
Video
2
Đang theo dõi
0
Lượt lưu
6.2%
Tỷ lệ tương tác

Tăng trưởng & Dự báo

Cập nhật lần cuốiDự báo 7 ngàyDự báo 30 ngày
Người theo dõi43.1K🔒 Pro🔒 Pro
Tổng lượt thích339.3K▲ 🔒 Pro🔒 Pro
Video127🔒 Pro🔒 Pro
Lượt xem TB20.1K🔒 Pro🔒 Pro

Mở khóa báo cáo đầy đủ

Email liên hệ, lịch sử tăng trưởng và dự báo, cùng toàn bộ kho video có trong gói Pro.

Xem báo cáo đầy đủ →

Gói Pro miễn phí trong giai đoạn beta: dùng thử ngay, không cần thẻ tín dụng.

Liên hệ và liên kết

Thu nhập ước tính

Giá ước tính cho mỗi bài quảng cáo: $215 đến $1.1K, tính theo khoảng 5 đến 25 USD cho mỗi 1.000 người theo dõi. Đây là ước tính dựa trên quy mô khán giả, không phải thu nhập đã công bố.

Cập nhật lần cuối:

Hồ sơ TikTok

Video gần đây

Video mới nhất: 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
▶
▶ 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
▶
▶ 21.7K ❤ 0 💬 0

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
▶
▶ 17.1K ❤ 0 💬 0

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

Câu hỏi thường gặp

Caleb Writes Code có bao nhiêu người theo dõi?

Tính đến 2026-11-01, Caleb Writes Code (@calebwritescode) có 43.1K người theo dõi trên TikTok.

Nhà sáng tạo tương tự

Top nhà sáng tạo TikTok #machinelearning trên thế giới

Xem tất cả →