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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

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

CodeChef Programming Contests

Cooling Conundrum | COOLCON | Starter 245 | CodeChef Official Solution

Cooling Conundrum | COOLCON | Starter 245 | CodeChef Official Solution

YouTubeLearn to Code with CodeChef

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Waiting (Easy) | WAIT1 | Starter 246 | CodeChef Official Solution

Waiting (Easy) | WAIT1 | Starter 246 | CodeChef Official Solution

YouTubeLearn to Code with CodeChef

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Plant | TEMPPLANT | Starter 246 | CodeChef Official Solution

Plant | TEMPPLANT | Starter 246 | CodeChef Official Solution

YouTubeLearn to Code with CodeChef

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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.

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 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

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

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

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

CodeChef Tutorials and Problems

Sequence (Easy) | SEQ1 | Starter 246 | CodeChef Official Solution

Sequence (Easy) | SEQ1 | Starter 246 | CodeChef Official Solution

YouTubeLearn to Code with CodeChef

Waiting (Hard) | WAIT2 | Starter 246 | CodeChef Official Solution

Waiting (Hard) | WAIT2 | Starter 246 | CodeChef Official Solution

YouTubeLearn to Code with CodeChef

Red Yellow Cards | RYCARDS | Starter 246 | CodeChef Official Solution

Red Yellow Cards | RYCARDS | Starter 246 | CodeChef Official Solution

YouTubeLearn to Code with CodeChef

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.

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.

306.8K views1 month ago

TikTokmarcinteodoru

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

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

4.6M views1 month ago

x.comMore Perfect Union

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

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

59.4K views3 weeks ago

TikTokcalebwritescode

企业数字化转型失败案例

企业数字化转型失败案例

449 viewsDec 4, 2023

bilibiliD-Coding企业数字化

اذا تريد ان تكون عالماً ومتخصصاً وخبيراً في إنشاء نماذج الذكاء الأصطناعي AI LLMs #ai #Ai #Vibe_coding #3d #الذكاء_الاصطناعي . .

اذا تريد ان تكون عالماً ومتخصصاً وخبيراً في إنشاء نماذج الذكاء الأصطناعي AI LLMs #ai #Ai #Vibe_coding #3d #الذكاء_الاصطناعي . .

18.1K views1 week ago

TikTokaiksa2090

Top 10 IDEs For Programmers [2025] - GeeksforGeeks

Top 10 IDEs For Programmers [2025] - GeeksforGeeks

geeksforgeeks.org

企业数字化转型成功案例分享

企业数字化转型成功案例分享

537 viewsDec 6, 2023

bilibiliD-Coding企业数字化

🎙️ CYBER F.M. with Arias Thomas — your weekly cyber warfare briefing. This week we’re breaking down 4 threats you need to know 👇 • 🩸 CitrixBleed is BACK — a new NetScaler flaw weaponized in under 24 hours • 🤖 Hackers are turning AI coding assistants against their own users — no malware needed • 🇰🇵 North Korea planted booby traps in 100 packages devs download every day • 💀 New “Avalon / CrownX” ransomware wipes your backups BEFORE it locks your files 🔑 The lesson: trusted doesn’t mean saf

323 views6 days ago

TikTokcyberfmnyc

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