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Every waveform in nature is just exponentials added together. The Laplace Transform tells you exactly how much of each one — and that single idea turns unsolvable differential equations into basic algebra. ChatGPT, Claude, every robot arm and circuit on the planet runs on systems analyzed with this tool.... show more

Eron

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49,824 görüntüleme • 2 gün önce •via X (Twitter)

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As someone who ships LLM systems in production, this Laplace transform video is the closest thing to a "why Mamba beats transformers" explainer I've ever seen released for free. Everyone thinks attention is what makes LLMs powerful. Laplace proved in 1785 that any signal breaks into exponential pieces - locate the poles, expose the frequencies. Mamba and Claude run on this exact trick. 34 minutes. Bookmark & watch today. The math is older than the United States.

As someone who ships LLM systems in production, this Laplace transform video is the closest thing to a "why Mamba beats transformers" explainer I've ever seen released for free. Everyone thinks attention is what makes LLMs powerful. Laplace proved in 1785 that any signal breaks into exponential pieces - locate the poles, expose the frequencies. Mamba and Claude run on this exact trick. 34 minutes. Bookmark & watch today. The math is older than the United States.

Eron

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IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

slash1s

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Fourier wrapped a signal around a circle in 1822. Every Spotify equalizer, every noise filter in your AirPods, and every frequency layer inside ChatGPT runs on what he found. The trick is simple. Spin the signal at different speeds. When the spin matches a hidden frequency, the center of mass shifts. That shift is the answer. Claude and GPT use this same idea to separate relevant tokens from noise. 20 minutes. Bookmark & watch today. The math is older than the telephone.

Fourier wrapped a signal around a circle in 1822. Every Spotify equalizer, every noise filter in your AirPods, and every frequency layer inside ChatGPT runs on what he found. The trick is simple. Spin the signal at different speeds. When the spin matches a hidden frequency, the center of mass shifts. That shift is the answer. Claude and GPT use this same idea to separate relevant tokens from noise. 20 minutes. Bookmark & watch today. The math is older than the telephone.

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Anthropic engineer: "You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day." In 45 minutes he shows exactly how to build them from scratch, step by step. Most people are still doing all of this by hand. Watch the session, then read the step by step guide below on building all of them in a single chat, prompts included.

Anthropic engineer: "You can build 5 assistants in one afternoon. Each one handles a task you've been doing manually every single day." In 45 minutes he shows exactly how to build them from scratch, step by step. Most people are still doing all of this by hand. Watch the session, then read the step by step guide below on building all of them in a single chat, prompts included.

Anatoli Kopadze

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Dr. Robert Snellman's eight-hour course: The Fundamentals of Mathematics: Algebra, is available now. Enroll now for immediate access at Peterson Academy. Accompanying the course are practice questions as well! In this course, Dr. Snellman offers an accelerated and comprehensive introduction to algebra. He begins with basic variable manipulation and linear equations, then progresses to polynomials, quadratic equations, and exponential functions. Guided by Dr. Snellman, we build a strong mathematical foundation through a systematic study of functions, graphs, and solution methods, with a consistent emphasis on real-world applications in physics, finance, and cryptography. The course introduces increasingly sophisticated mathematical concepts and culminates in systems of linear equations and matrix operations, demonstrating how algebraic thinking can model and solve meaningful, practical problems.

Dr. Robert Snellman's eight-hour course: The Fundamentals of Mathematics: Algebra, is available now. Enroll now for immediate access at Peterson Academy. Accompanying the course are practice questions as well! In this course, Dr. Snellman offers an accelerated and comprehensive introduction to algebra. He begins with basic variable manipulation and linear equations, then progresses to polynomials, quadratic equations, and exponential functions. Guided by Dr. Snellman, we build a strong mathematical foundation through a systematic study of functions, graphs, and solution methods, with a consistent emphasis on real-world applications in physics, finance, and cryptography. The course introduces increasingly sophisticated mathematical concepts and culminates in systems of linear equations and matrix operations, demonstrating how algebraic thinking can model and solve meaningful, practical problems.

Peterson Academy

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Claude Code is CRACKED at design now and I don't think people understand how BIG this is. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)

Claude Code is CRACKED at design now and I don't think people understand how BIG this is. There is now one tool that takes you from a rough idea to fully designed, agency-tier, App Store-ready screens in minutes. One design system, every screen, real native code. Most builders hand design to Claude Code, get AI-default screens, and wonder why their app looks like every other vibe coded project. This is the 3-step workflow that fixes it: (full breakdown in the article)

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in 20 minutes, OpenAI's Head of AI Deployment Engineering gave a Live Lecture on Voice Agents. OpenAI already shipped one of the most ambitious speech-to-speech APIs in production. Tonight Toki and Anoop show how every serious company is actually building audio agents in 2026. bookmark & watch this. then read the complete article below

in 20 minutes, OpenAI's Head of AI Deployment Engineering gave a Live Lecture on Voice Agents. OpenAI already shipped one of the most ambitious speech-to-speech APIs in production. Tonight Toki and Anoop show how every serious company is actually building audio agents in 2026. bookmark & watch this. then read the complete article below

Avid

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Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.

Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.

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Claude Code creator, Boris Cherny: "Every night I have hundreds, sometimes thousands of agents running in loops for 5, 10, 20 hours straight. This is just how engineering is done now." That's the shift that will define the rest of 2026. 53 minutes of pure insight from the creator of the tool every AI engineer now uses. Watch it, then read the full guide on loops below.

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Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Khairallah AL-Awady

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Jensen Huang, CEO of Nvidia: "In a few years every engineer is going to have and manage hundreds of AI agents" 15 minutes from the man whose chips run every AI system on the planet he's not predicting the future, he's describing what's already happening inside Nvidia right now most people have no idea how far behind they actually are with AI that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people

Jensen Huang, CEO of Nvidia: "In a few years every engineer is going to have and manage hundreds of AI agents" 15 minutes from the man whose chips run every AI system on the planet he's not predicting the future, he's describing what's already happening inside Nvidia right now most people have no idea how far behind they actually are with AI that's exactly why I wrote an article on Claude features most people don't even know exist read the article below and you'll already be ahead of 99% of people

Anatoli Kopadze

49,990 görüntüleme • 2 ay önce

Head of Claude Code, Boris Cherny: "You're not supposed to write code anymore. You're supposed to build a graph that writes itself." In 30 minutes he breaks down how engineers at Anthropic build graphs that write the code, catch the bugs, and ships. The missing piece most developers skip: how to wire those agents into a graph that runs, verifies, and improves without you. Watch it, then read the full guide on graph engineering below.

Head of Claude Code, Boris Cherny: "You're not supposed to write code anymore. You're supposed to build a graph that writes itself." In 30 minutes he breaks down how engineers at Anthropic build graphs that write the code, catch the bugs, and ships. The missing piece most developers skip: how to wire those agents into a graph that runs, verifies, and improves without you. Watch it, then read the full guide on graph engineering below.

Mahax

414,203 görüntüleme • 15 gün önce

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

THIS IS HOW A SENIOR ENGINEER ACTUALLY SCALES THEMSELVES WITH CLAUDE CODE the biggest change with AI isn't coding faster. it's where you actually spend your time now. more detailed prompts, more code review, more planning, less typing, etc. here's the workflow: this guy has been shipping code since the days of cgi and perl. he uses a compound engineering plugin that runs 5 separate agents on every task. one brainstorms, one plans the technical implementation, one executes, one reviews, one checks different verticals. every step is documented in markdown files. it's slow and way more waiting. but the output quality is way higher because each agent is focused on one thing. then the REAL multiplier is in git worktrees if Claude Code made you 10x faster, worktrees multiplies that again depending on how many agents you can manage in parallel his team runs 4-8 Claude Code sessions at the same time across different worktrees with each one working on a separate task. the skill is managing multiple AI agents in parallel without losing track, that's the next evolution of engineering

Om Patel

159,475 görüntüleme • 4 ay önce

🚨do you understand what two Anthropic engineers just explained in 16 minutes. Barry and Mahesh built Claude Skills from scratch. here's the part nobody is talking about: > Skills are just folders. > folders that teach Claude your job. > your workflow. your expertise. your domain. Claude on day 30 is a completely different tool than day one. watch this before you write another prompt. before you build another agent. before you touch another tool. 16 minutes. bookmark it. watch it today. and if you want to learn everything about Claude from scratch the full 4 hour guide is waiting below.

🚨do you understand what two Anthropic engineers just explained in 16 minutes. Barry and Mahesh built Claude Skills from scratch. here's the part nobody is talking about: > Skills are just folders. > folders that teach Claude your job. > your workflow. your expertise. your domain. Claude on day 30 is a completely different tool than day one. watch this before you write another prompt. before you build another agent. before you touch another tool. 16 minutes. bookmark it. watch it today. and if you want to learn everything about Claude from scratch the full 4 hour guide is waiting below.

Kirill

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Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.

cvxv666

103,734 görüntüleme • 1 ay önce

Anthropic engineer: "You don't need better prompts. You need graph engineering that makes agents remember everything." In 25 minutes he shows how engineers at Anthropic wire agents into a graph where each has a job, they run in parallel, verify each other, and share a memory that never resets. This beats any paid course on building agents I've seen. Watch it, then read the full guide on graph engineering below.

Anthropic engineer: "You don't need better prompts. You need graph engineering that makes agents remember everything." In 25 minutes he shows how engineers at Anthropic wire agents into a graph where each has a job, they run in parallel, verify each other, and share a memory that never resets. This beats any paid course on building agents I've seen. Watch it, then read the full guide on graph engineering below.

Anatoli Kopadze

488,951 görüntüleme • 18 gün önce

🚨 VP JD Vance DROPS this message to every critic of Trump's Iran deal "Any of the critics...HAVE A LITTLE FAITH in the president's ability!" 🔥 "The IDEA he'd strike a bad deal for the American people is preposterous. He is the person who has had the courage to fundamentally transform our relationship with Iran and with a lot of other countries over the last year and a half." "He believes in this deal. He is going to see it to completion. And if the Iranians don't comply, we still have every single tool and point of leverage that we have today." "So many of what I've read or heard that people believe about this deal is just fundamentally untrue."

🚨 VP JD Vance DROPS this message to every critic of Trump's Iran deal "Any of the critics...HAVE A LITTLE FAITH in the president's ability!" 🔥 "The IDEA he'd strike a bad deal for the American people is preposterous. He is the person who has had the courage to fundamentally transform our relationship with Iran and with a lot of other countries over the last year and a half." "He believes in this deal. He is going to see it to completion. And if the Iranians don't comply, we still have every single tool and point of leverage that we have today." "So many of what I've read or heard that people believe about this deal is just fundamentally untrue."

Eric Daugherty

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Anthropic finally published the prompting playbook for every Claude model. > Prompting Claude Sonnet 5. > Prompting Claude Opus 4.8. > Prompting Claude Opus 5. > Prompting Claude Fable 5. After reading it, one thing is clear. Almost nobody is getting the most out of Claude. It shows exactly how each model should be prompted instead of relying on guesswork. If Claude is in your workflow, bookmark this.

Anthropic finally published the prompting playbook for every Claude model. > Prompting Claude Sonnet 5. > Prompting Claude Opus 4.8. > Prompting Claude Opus 5. > Prompting Claude Fable 5. After reading it, one thing is clear. Almost nobody is getting the most out of Claude. It shows exactly how each model should be prompted instead of relying on guesswork. If Claude is in your workflow, bookmark this.

shmidt

119,698 görüntüleme • 13 gün 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.

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

109,806 görüntüleme • 17 gün önce