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Schrodinger's equation, Neural ODEs, and every LLM built on Mamba use one operation: raising a matrix to a power. Sounds like nonsense until you see it. A Stanford math grad just released a 27-minute walkthrough starting from a mass on a spring and building up to quantum mechanics. Publicly...

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fintex

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43,310 görüntüleme • 2 ay önce •via X (Twitter)

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As someone who's spent 3 years fine-tuning ML models, this lecture on neural networks from a Stanford math grad is the closest thing to a no-bullshit "day one of ML" briefing I've ever seen released publicly for free. Everyone thinks neural nets are magic. They aren't. They're 13,000 dials - a matrix multiplication, a sigmoid squish, done. Once you see the math, "AI" stops feeling mysterious. 18 minutes. Bookmark & watch today.
18:13

As someone who's spent 3 years fine-tuning ML models, this lecture on neural networks from a Stanford math grad is the closest thing to a no-bullshit "day one of ML" briefing I've ever seen released publicly for free. Everyone thinks neural nets are magic. They aren't. They're 13,000 dials - a matrix multiplication, a sigmoid squish, done. Once you see the math, "AI" stops feeling mysterious. 18 minutes. Bookmark & watch today.

fintex

332,082 görüntüleme • 2 ay önce

Every quantum state in the universe is a vector - not in 3D space, but in a complex space with potentially infinite dimensions where the sum of squared coefficients always equals exactly 1. That constraint is the same math LLMs use to normalize probability distributions over tokens. A wavefunction collapsing to a measurement and a softmax choosing the next word are the same operation - projecting an infinite-dimensional vector onto a basis. Claude and GPT do quantum math on every forward pass. 14 minutes. Bookmark & watch today. Quantum mechanics and LLMs speak the same language.
15:45

Every quantum state in the universe is a vector - not in 3D space, but in a complex space with potentially infinite dimensions where the sum of squared coefficients always equals exactly 1. That constraint is the same math LLMs use to normalize probability distributions over tokens. A wavefunction collapsing to a measurement and a softmax choosing the next word are the same operation - projecting an infinite-dimensional vector onto a basis. Claude and GPT do quantum math on every forward pass. 14 minutes. Bookmark & watch today. Quantum mechanics and LLMs speak the same language.

Eron

18,166 görüntüleme • 1 ay önce

In 1948, Claude Shannon invented the math behind every LLM you use today. He tested it by making his wife guess the next letter in a book. A Stanford-trained mathematician just released a 32-minute walkthrough of this exact history - and why the "next-token prediction" story of GPT-5 is actually wrong. Bookmark & watch this weekend. The alternative is a graduate info-theory course + 3 semesters of your life.
31:43

In 1948, Claude Shannon invented the math behind every LLM you use today. He tested it by making his wife guess the next letter in a book. A Stanford-trained mathematician just released a 32-minute walkthrough of this exact history - and why the "next-token prediction" story of GPT-5 is actually wrong. Bookmark & watch this weekend. The alternative is a graduate info-theory course + 3 semesters of your life.

fintex

288,233 görüntüleme • 2 ay önce

As someone who builds with LLMs and diffusion models, this 14-minute heat equation video is the closest thing to a "why noise reversal actually works" explainer I've ever seen released for free. Everyone thinks diffusion is a novel AI concept. It's the heat equation from 1822. The forward process spreads noise like heat, and the reverse process is what your model learns. Bookmark & watch this weekend. Same math, from 19th-century physics to 2025 image generation.
13:12

As someone who builds with LLMs and diffusion models, this 14-minute heat equation video is the closest thing to a "why noise reversal actually works" explainer I've ever seen released for free. Everyone thinks diffusion is a novel AI concept. It's the heat equation from 1822. The forward process spreads noise like heat, and the reverse process is what your model learns. Bookmark & watch this weekend. Same math, from 19th-century physics to 2025 image generation.

fintex

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As someone who's been shipping LLMs since the GPT-2 days, this lecture on cross-entropy from a Stanford math grad is the closest thing to an ML PhD qualifying exam I've ever seen released publicly for free. Everyone thinks language models predict the next word. They don't. They compress language. Once you see the math, you can't unsee it. 33 minutes. Bookmark & watch today.
33:29

As someone who's been shipping LLMs since the GPT-2 days, this lecture on cross-entropy from a Stanford math grad is the closest thing to an ML PhD qualifying exam I've ever seen released publicly for free. Everyone thinks language models predict the next word. They don't. They compress language. Once you see the math, you can't unsee it. 33 minutes. Bookmark & watch today.

fintex

356,334 görüntüleme • 2 ay önce

Andrej Karpathy(Anthropic Engineer) dropped a full 6-hour course on how to build LLMs from scratch and use it: • 00:00 - Full dive into LLMs • 03:31:23 - Building LLM from scratch • 05:27:43 - How to use LLMs (Karpathy method) This course can replace a $150K Stanford LLM senior degree and Bootkamp Start watching today, then read article below
5:55:05

Andrej Karpathy(Anthropic Engineer) dropped a full 6-hour course on how to build LLMs from scratch and use it: • 00:00 - Full dive into LLMs • 03:31:23 - Building LLM from scratch • 05:27:43 - How to use LLMs (Karpathy method) This course can replace a $150K Stanford LLM senior degree and Bootkamp Start watching today, then read article below

Morty

15,214 görüntüleme • 16 gün önce

Eigenvalues are why Google's PageRank converges, why PCA compresses 1,000-dimensional embeddings into 2D without losing structure, and why quantum mechanics gives discrete energy levels instead of a continuous blur. The same matrix operation that finds the most important directions in a dataset is what transformer attention heads use to rotate and project token embeddings into query-key space. Every LLM response you've ever read passed through dozens of eigenvalue decompositions. 22 minutes. Bookmark & watch today. The most useful operation in all of applied mathematics.
20:56

Eigenvalues are why Google's PageRank converges, why PCA compresses 1,000-dimensional embeddings into 2D without losing structure, and why quantum mechanics gives discrete energy levels instead of a continuous blur. The same matrix operation that finds the most important directions in a dataset is what transformer attention heads use to rotate and project token embeddings into query-key space. Every LLM response you've ever read passed through dozens of eigenvalue decompositions. 22 minutes. Bookmark & watch today. The most useful operation in all of applied mathematics.

Eron

21,712 görüntüleme • 1 ay önce

As someone who's built with modern LLM architectures, this Laplace transform lecture is the closest thing to a "why Mamba works" explainer I've ever seen released for free. Everyone thinks transformers are the only path to modern LLMs. State space models like Mamba and S4 challenge that using math Laplace built in the 1780s. This video shows why. 25 minutes. Bookmark & watch today.
34:18

As someone who's built with modern LLM architectures, this Laplace transform lecture is the closest thing to a "why Mamba works" explainer I've ever seen released for free. Everyone thinks transformers are the only path to modern LLMs. State space models like Mamba and S4 challenge that using math Laplace built in the 1780s. This video shows why. 25 minutes. Bookmark & watch today.

fintex

110,467 görüntüleme • 2 ay önce

As someone who ships LLM systems in production, this billiards video is the closest thing to a "why every stable LLM behavior is just a lucky island in a sea of chaos" explainer I've ever seen released for free. Everyone thinks GPT-5 always behaves the same way. It doesn't. Every consistent Claude answer lives on a tiny island of stability inside an infinite chaotic plane - the exact "winning zone" this video maps by bouncing balls off polygons. Bookmark this 11-min video and watch tonight. Same emergent stability math from 2007 chaos research, now the reason a single prompt tweak can drop your LLM into total gibberish.
9:53

As someone who ships LLM systems in production, this billiards video is the closest thing to a "why every stable LLM behavior is just a lucky island in a sea of chaos" explainer I've ever seen released for free. Everyone thinks GPT-5 always behaves the same way. It doesn't. Every consistent Claude answer lives on a tiny island of stability inside an infinite chaotic plane - the exact "winning zone" this video maps by bouncing balls off polygons. Bookmark this 11-min video and watch tonight. Same emergent stability math from 2007 chaos research, now the reason a single prompt tweak can drop your LLM into total gibberish.

fintex

42,313 görüntüleme • 12 gün önce

Anthropic Engineer Andrej Karpathy dropped a full 6-hour course on how to build LLMs from scratch and use it: • 00:00 - Deep dive into LLMs • 03:31:23 - Building ChatGPT from scratch • 05:27:43 - How to use LLMs (Karpathy method) This course can replace a $150K Stanford LLM senior degree. Start watching today, then read article below
5:54:50

Anthropic Engineer Andrej Karpathy dropped a full 6-hour course on how to build LLMs from scratch and use it: • 00:00 - Deep dive into LLMs • 03:31:23 - Building ChatGPT from scratch • 05:27:43 - How to use LLMs (Karpathy method) This course can replace a $150K Stanford LLM senior degree. Start watching today, then read article below

Morty

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It is possible to write a literature review in a weekend. How? Using an all-in-one AI tool like SciSpace. Watch this 1 minute tutorial on how to use SciSpace like a genius to find research papers and write your literature review efficiently.
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It is possible to write a literature review in a weekend. How? Using an all-in-one AI tool like SciSpace. Watch this 1 minute tutorial on how to use SciSpace like a genius to find research papers and write your literature review efficiently.

Amina Yonis, PhD

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As someone who ships LLM systems in production, this sliding puzzle video is the closest thing to a "why sampling harder never finds the answer" explainer I've ever seen released for free. Everyone thinks a hard problem means a huge search space. It doesn't. Klotski has just 25,955 states, yet random search dies in the same pit every time. That's the exact reason OpenAI and Anthropic pay for guided search instead of more samples. Bookmark & watch this weekend. Same graph traversal, from a wooden toy on a coffee table to every reasoning model burning test-time compute today.
11:17

As someone who ships LLM systems in production, this sliding puzzle video is the closest thing to a "why sampling harder never finds the answer" explainer I've ever seen released for free. Everyone thinks a hard problem means a huge search space. It doesn't. Klotski has just 25,955 states, yet random search dies in the same pit every time. That's the exact reason OpenAI and Anthropic pay for guided search instead of more samples. Bookmark & watch this weekend. Same graph traversal, from a wooden toy on a coffee table to every reasoning model burning test-time compute today.

fintex

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A 23-year-old made $10,500 from 60M YouTube Shorts views by building a format he could repeat every day without starting from zero. His free 54-minute guide shows the complete process from zero: finding a repeatable niche, creating Shorts, publishing consistently and reaching monetization. You do not need another editing trick. You need a format you can produce long enough for distribution to compound. Watch the full video and bookmark this.
52:58

A 23-year-old made $10,500 from 60M YouTube Shorts views by building a format he could repeat every day without starting from zero. His free 54-minute guide shows the complete process from zero: finding a repeatable niche, creating Shorts, publishing consistently and reaching monetization. You do not need another editing trick. You need a format you can produce long enough for distribution to compound. Watch the full video and bookmark this.

Kiyoro

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Wanna build real apps without spending a dime on tools? 💸 You only need a domain — everything else can be built for free. I just recorded a full 3 hour 11 minute walkthrough showing how to create a real, production-ready website using modern architecture, clean layout structure, and a completely free tech stack. 🎨 🚀 See the final website from this series: Do you wanna watch this lesson by lesson?
3:11:21

Wanna build real apps without spending a dime on tools? 💸 You only need a domain — everything else can be built for free. I just recorded a full 3 hour 11 minute walkthrough showing how to create a real, production-ready website using modern architecture, clean layout structure, and a completely free tech stack. 🎨 🚀 See the final website from this series: Do you wanna watch this lesson by lesson?

corbin

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In 2008 a Stanford professor stood at a podium and proved, for free, that information and money grow by the exact same equation. it was filmed. it has been free for 18 years. 7,000 people watched it. Thomas Cover died four years later and took the fame with him. his life's work: Shannon's information theory and Kelly's betting formula are one thing. how much to bet is just how much you know. every quant sizing a trade in 2026 is standing on Cover, whether they know the name or not. he wrote the book every information theorist trains on. the lecture that ties it all to money sits on YouTube with fewer views than a cat clip. skip to where he turns a horse race into a stock market. same math. a bit of information, a fraction of your bankroll, one growth rate. no fund. no signal. one professor and one equation. a quant I know says this hour is the missing chapter behind every book on position sizing he owns. you are 18 years late. it is still free.
57:26

In 2008 a Stanford professor stood at a podium and proved, for free, that information and money grow by the exact same equation. it was filmed. it has been free for 18 years. 7,000 people watched it. Thomas Cover died four years later and took the fame with him. his life's work: Shannon's information theory and Kelly's betting formula are one thing. how much to bet is just how much you know. every quant sizing a trade in 2026 is standing on Cover, whether they know the name or not. he wrote the book every information theorist trains on. the lecture that ties it all to money sits on YouTube with fewer views than a cat clip. skip to where he turns a horse race into a stock market. same math. a bit of information, a fraction of your bankroll, one growth rate. no fund. no signal. one professor and one equation. a quant I know says this hour is the missing chapter behind every book on position sizing he owns. you are 18 years late. it is still free.

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He is 18 built an LLM and sold it to Anthropic for $3.2M - and at Stanford shared how to repeat it from scratch: 00:30 - how to build an LLM worth $100k in one evening 21:34 - how one LLM controls 1000 processes at the same time 43:47 - from first prompt to $3.2M from Anthropic after watching I built my first LLM in 60 minutes- a week later Anthropic offered me $100k for the system. save & watch - the article below shows how to build an LLM and sell it to Anthropic for $3.2M from scratch
1:44:13

He is 18 built an LLM and sold it to Anthropic for $3.2M - and at Stanford shared how to repeat it from scratch: 00:30 - how to build an LLM worth $100k in one evening 21:34 - how one LLM controls 1000 processes at the same time 43:47 - from first prompt to $3.2M from Anthropic after watching I built my first LLM in 60 minutes- a week later Anthropic offered me $100k for the system. save & watch - the article below shows how to build an LLM and sell it to Anthropic for $3.2M from scratch

Noisy

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Fire & EMS Chief John Donnelly: "We are now at a point where we are switching from a rescue operation to a recovery operation. At this point we don't believe there are any survivors from this accident. We have recovered 27 people from the plane and one from the helicopter."
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Fire & EMS Chief John Donnelly: "We are now at a point where we are switching from a rescue operation to a recovery operation. At this point we don't believe there are any survivors from this accident. We have recovered 27 people from the plane and one from the helicopter."

CSPAN

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Comp sci students from Stanford, Berkeley, and Cornell built a killer use case to pay on Amazon with crypto. Built by Cynthia Wang, aaron, and Hrishabh
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Comp sci students from Stanford, Berkeley, and Cornell built a killer use case to pay on Amazon with crypto. Built by Cynthia Wang, aaron, and Hrishabh

ETHGlobal

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Need a free CV template you can edit in minutes? 👀 This website have got that and a whole lot more. From editable CVs to essential resources every graphic designer needs, it’s all free to download and ready to use. Watch until the end to see everything you can do. 🚀
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Need a free CV template you can edit in minutes? 👀 This website have got that and a whole lot more. From editable CVs to essential resources every graphic designer needs, it’s all free to download and ready to use. Watch until the end to see everything you can do. 🚀

UnfilteredLife

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As someone who trains and fine-tunes LLMs, this backpropagation video is the closest thing to a "the calc 1 rule that trains every LLM on earth" explainer I've ever seen released for free. Everyone thinks training GPT-5 requires exotic math. It doesn't. The entire $500B AI industry runs on the chain rule from freshman calculus - the exact rule Marvin Minsky said would never work. Bookmark this 30-min video and watch tonight. Same math your high school teacher taught you, now updating every weight in Claude, GPT-5, and Llama.
30:31

As someone who trains and fine-tunes LLMs, this backpropagation video is the closest thing to a "the calc 1 rule that trains every LLM on earth" explainer I've ever seen released for free. Everyone thinks training GPT-5 requires exotic math. It doesn't. The entire $500B AI industry runs on the chain rule from freshman calculus - the exact rule Marvin Minsky said would never work. Bookmark this 30-min video and watch tonight. Same math your high school teacher taught you, now updating every weight in Claude, GPT-5, and Llama.

fintex

50,749 görüntüleme • 1 ay önce