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Zuck in founder mode.Obviously what's he saying about coding makes no sense, watching a screen isn't as information dense as just reading the finished code. So my intuition is he is building a model that uses a front end as a front end. Just like humanoid robots make sense because our environment is already built for the human form, like we don't want to make humaniods with wheels because they won't be able to handle every staircase. And we don't want to build every staricase, so we build robots
6:13
x.comAlmaCap
Zuck in founder mode.Obviously what's he saying about coding makes no sense, watching a screen isn't as information dense as just reading the finished code. So my
AlmaCap (@AlmaCap114204). 8 likes. Zuck in founder mode.Obviously what's he saying about coding makes no sense, watching a screen isn't as information dense as just reading the finished code. So my intuition is he is building a model that uses a front end as a front end. Just like humanoid robots make sense because our environment is already ...
2.4M views1 month ago
Shorts
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Coding Tutorials
parsing a 300gb json file 8 different ways ⚡ one crashed instantly. one runs on a gpu. one finishes 270M records in under a minute which one would you pick? #programming #python #coding
2:16
parsing a 300gb json file 8 different ways ⚡ one crashed instantly. one runs on a gpu. one finishes 270M records in under a minute which one would you pick? #programming #python #coding
TikToklewismenelaws
75.3K views3 weeks ago
Top Skills for Software Engineers in the AI Era 💯 #shorts #ai
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Top Skills for Software Engineers in the AI Era 💯 #shorts #ai
YouTubeTechnical Suneja
4.6K views1 week ago
This took me 4 zyns and 2 hours to claude code #tech #ai #claude #drone #engineering
0:15
This took me 4 zyns and 2 hours to claude code #tech #ai #claude #drone #engineering
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1.7M views2 months ago
Top videos
LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs."The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks.So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to
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LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs."The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks.So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to
x.comMore Perfect Union
4.6M views1 month ago
I just tested Claude Mythos Fable 5 and told it to build a fully functional Jarvis AI from a single prompt. No coding. No setup. Just one instruction.
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I just tested Claude Mythos Fable 5 and told it to build a fully functional Jarvis AI from a single prompt. No coding. No setup. Just one instruction.
TikTokmarcinteodoru
306.8K views4 weeks ago
Andrej Karpathy's explaination of Bigram Language Model explained Bigram LMs, though simple, it provides powerful insight into the inner mechanics of how tokens are processed in language models. This is a pre-amble for what's next: GPT, which is the 2nd part of the series The Bigram model here incorporates: Tokenization, Vocabulary, Negative Loss Function, Cross Entropy, Logits, SoftMax, Optimizer, and AdamW These are essential ingredients to understand in order to build our knowledge on how LLM
8:23
Andrej Karpathy's explaination of Bigram Language Model explained Bigram LMs, though simple, it provides powerful insight into the inner mechanics of how tokens are processed in language models. This is a pre-amble for what's next: GPT, which is the 2nd part of the series The Bigram model here incorporates: Tokenization, Vocabulary, Negative Loss Function, Cross Entropy, Logits, SoftMax, Optimizer, and AdamW These are essential ingredients to understand in order to build our knowledge on how LLM
TikTokcalebwritescode
59.4K views3 weeks ago
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10 coding projects that can help you land your first developer job #techcareer #coding #webdev
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10 coding projects that can help you land your first developer job #techcareer #coding #webdev
YouTubeEliana Jordan
1.8K views1 month ago
LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs."The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks.So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to
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LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerb…
4.6M views1 month ago
x.comMore Perfect Union
I just tested Claude Mythos Fable 5 and told it to build a fully functional Jarvis AI from a single prompt. No coding. No setup. Just one instruction.
11:19
I just tested Claude Mythos Fable 5 and told it to build a fully function…
306.8K views4 weeks ago
TikTokmarcinteodoru
Andrej Karpathy's explaination of Bigram Language Model explained Bigram LMs, though simple, it provides powerful insight into the inner mechanics of how tokens are processed in language models. This is a pre-amble for what's next: GPT, which is the 2nd part of the series The Bigram model here incorporates: Tokenization, Vocabulary, Negative Loss Function, Cross Entropy, Logits, SoftMax, Optimizer, and AdamW These are essential ingredients to understand in order to build our knowledge on how LLM
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Andrej Karpathy's explaination of Bigram Language Model explaine…
59.4K views3 weeks ago
TikTokcalebwritescode
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اذا تريد ان تكون عالماً ومتخصصاً وخبيراً في إنشاء نماذج الذكاء الأصطناعي AI LLMs #ai #Ai #V…
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