caCaleb Writes Code

Caleb Writes Code

@calebwritescode

YouTube (120k+) @CalebWritesCode

Caleb Writes Code ٹک ٹاک کریئیٹر ہیں، 43.1K فالوورز اور 339.3K لائکس کے ساتھ۔ ان کی ویڈیوز کو اوسطاً 20.1K ویوز ملتے ہیں، انگیجمنٹ ریٹ 6.2% ہے۔ سب سے زیادہ استعمال ہونے والے ہیش ٹیگز: #machinelearning، #anthropic اور #llm۔

https://youtube.com/@calebwritescode?si=lhfGyU6itb8FT51G
43.1K
فالوورز
2
فالوونگ
339.3K
لائکس
20.1K
اوسط ویوز
انگیجمنٹ ریٹ: 6.2%
43.1K
فالوورز
339.3K
کل لائکس
20.1K
اوسط ویوز
127
ویڈیوز
2
فالوونگ
0
پسندیدہ
6.2%
انگیجمنٹ ریٹ

نمو اور پیشگوئی

آخری اپ ڈیٹ7 دن کی پیشگوئی30 دن کی پیشگوئی
فالوورز43.1K🔒 Pro🔒 Pro
کل لائکس339.3K▲ 🔒 Pro🔒 Pro
ویڈیوز127🔒 Pro🔒 Pro
اوسط ویوز20.1K🔒 Pro🔒 Pro

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اندازہ شدہ آمدنی

فی اسپانسرڈ پوسٹ اندازہ شدہ ریٹ: $215 سے $1.1K، تقریباً 5 سے 25 ڈالر فی 1,000 فالوورز کی بنیاد پر۔ یہ آڈیئنس کے حجم سے لگایا گیا اندازہ ہے، بتائی گئی آمدنی نہیں۔

آخری اپ ڈیٹ:

ٹک ٹاک پروفائل

حالیہ ویڈیوز

تازہ ترین ویڈیو: 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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Caleb Writes Code کے کتنے فالوورز ہیں؟

2026-11-01 تک Caleb Writes Code (@calebwritescode) کے ٹک ٹاک پر 43.1K فالوورز ہیں۔

ملتے جلتے کریئیٹرز

دنیا بھر کے ٹاپ ٹک ٹاک کریئیٹرز #machinelearning

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