SOMEONE VISUALIZED THEIR SECOND BRAIN AS A COLOR CODED... CLUSTER YOU CAN ROTATE every note sized by weight, activity bleeding through in reds and oranges, months of thinking compressed into one shape you can spin around this article runs a different kind of second brain through the same idea, four agents instead of one static map, each one updating its own cluster every six hours as new notes, chats, and code sessions come in the map isn’t just a snapshot here, it keeps redrawing itself while you sleep full breakdown in the article below👇show more

CyrilXBT
29,386 次观看 • 1 个月前
THIS IS WHAT YOUR SECOND BRAIN SHOULD LOOK LIKE... most people dump notes into obsidian and call it a second brain it’s not a second brain it’s a second drawer karpathy just dropped the pattern that changes this and it’s called the llm wiki every time you add a source ai reads it, extracts key claims, updates every connected note and flags contradictions your obsidian stops being an archive and starts being alive save this and show it to someone still using notion as a second brain full breakdown in the article ↓show more

leopardracer
123,618 次观看 • 2 个月前
Karpathy method + Claude Code reading your whole Obsidian... vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.show more

West Lord
592,877 次观看 • 2 个月前
Obsidian plus Vellum = a second brain that never... stops thinking. Works while you sleep. Obsidian holds everything you know. Vellum reasons across it continuously. Every idea connected. Every pattern surfaced. Every insight waiting when you wake up. The people who build this tonight will never go back to thinking alone. Read this and Bookmark it now.show more

CyrilXBT
260,682 次观看 • 3 个月前
Obsidian plus Vellum = a second brain that never... stops thinking. Works while you sleep. Obsidian holds everything you know. Vellum reasons across it continuously. Every idea connected. Every pattern surfaced. Every insight waiting when you wake up. The people who build this tonight will never go back to thinking alone. Read this and Bookmark it now.show more

CyrilXBT
35,003 次观看 • 17 天前
- you open Claude Code - fix a bug... - close the terminal - tomorrow, same thing - one prompt, one answer, done - you see someone running 10 agents in parallel shipping code while they sleep - "must be a different tool" - then you come across this article - you weren't even using 10% of it - you copy Shopify's exact config - you set up your first agent team - you go to sleep - 3 PRs are ready by morningshow more

darkzodchi
491,135 次观看 • 3 个月前
BEFORE: $500 a month across six different tools. Switching... between apps all day. Context scattered everywhere. AFTER: One Obsidian vault. One Claude subscription. Everything in one place. Same capability. Fraction of the cost. Zero app switching. The full setup is in the article below.show more

CyrilXBT
36,525 次观看 • 3 个月前
THIS GUY TURNS NOTES, DOCUMENTS, AND IDEAS INTO AN... AI SECOND BRAIN the system stores all the context of your work and helps claude not forget anything how to build one yourself: install obsidian connect claude code keep your projects, notes, and sessions in one vault link similar ideas together use the graph to discover new connections as a result, claude gets memory of your projects and understands the context without you constantly having to explain everything the more you work, the smarter the system gets don’t collect notes build connections between them insteadshow more

Marvin
24,954 次观看 • 2 个月前
300 AI AGENTS QUIETLY RUN 99% OF A REAL... COMPANY. YOU HAVE NOT EVEN HEARD OF IT This is Raft. Not an AI chat. A workspace where the agents live in your channels and reply in the thread like coworkers. You give one goal. Then they take over. They plan. They build. They check each other. They argue. And they come back with it done, while you sleep. Every agent has its own name, role, and memory. It remembers the edits you made yesterday. A human costs one seat. An agent costs a tenth. Ten agents are cheaper than one hire. And here is the strange part. On June 19 an agent from a different company walked into Raft on its own and joined the team. One founder admits he can no longer always tell himself apart from his AI twin. 20,000 people are already inside. It is free to start. And you are still typing prompts one at a time. One person + Raft = an entire company that runs while you sleep. Save and watch the clip.show more

shmidt
19,505 次观看 • 1 个月前
you've read 200 articles this year. you remember maybe... 5. the other 195 didn't vanish because you're forgetful — they vanished because they had nowhere to live. no system caught them, so they slipped straight through. here's the fix — Karpathy's second-brain method: > drop anything into one folder: an article, a PDF, a transcript > Claude breaks it into atomic notes and links each one to what's already there > nothing sits alone — every new source makes the whole vault sharper > then you stop searching and just ask, pulling from all of it at once three folders. one config file. set up before your coffee's done. no more cold starts — every session builds on everything you know. full A–Z guide below.show more

Kirill
32,930 次观看 • 26 天前
ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic... shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.show more

BuBBliK
200,456 次观看 • 3 个月前
YOUR OBSIDIAN VAULT READS ALL 2,000 NOTES TO ANSWER... ONE QUESTION. THAT'S NOT A SECOND BRAIN. That's a hoarder with markdown files. Hundreds of thousands of tokens burned per answer, and it still grabs the wrong note half the time. A real second brain runs on a graph: a router, an index, nodes, edges. Fable 5 reads 2-3 files instead of the whole vault. Answer back in under a second. The graph view everyone screenshots in Obsidian is a poster. The index is the actual engine. Full 11-step build below, from raw vault to working graph 👇show more

unicode
52,729 次观看 • 23 天前
Anthropic didn't build his memory system. He built it... himself, and what you're looking at is the proof. Same source, no gatekeeping. The Obsidian CEO published it, anyone can install it. That's not a screensaver on his second monitor. It's his vault. Every point of light is a note. Every cluster is a project his AI already understands without being told again. He doesn't even touch the keyboard to move through it. One hand up, and the whole cluster tilts and spins, like he's turning a globe that happens to be his own head. A year ago he opened a new AI tab every morning and explained himself from scratch. Who he is, what he's building, what he wants. 200+ hours a year, just re-introducing himself to a machine. Then he stopped writing prompts and started writing one file instead. It loaded before every session. His goals, his projects, his blind spots. Claude read it first, every time, without asking. Now the cluster on that screen keeps growing on its own. New notes link themselves. Nothing gets explained twice. He's not showing off code. He's showing off the machine that finally stopped forgetting him.show more

Superior
108,125 次观看 • 1 个月前
an agent is four parts in a loop. you... own one. the other three break it. that's why the demo works and prod doesn't. you can't debug what you can't see. 1) the prompt → what you tell the model each turn. you own this one. good. 2) the context window → what it sees right now. the framework fills it with junk, and you never notice until it rots. 3) the tools → what it can do. you own the list, not when or why it fires them. 4) the control flow → what happens next, when to stop. the framework owns this. it's what breaks at 80%. own all four and your agent stops being a magic trick that works on stage and dies on call. this isn't my idea. it's the 12-factor agents guide (24k stars) github: the whole thing every serious builder ends up rewriting their stack around. full breakdown in the article below.show more

Hanako
38,184 次观看 • 1 个月前
Every visit to Sagrada Família reveals something new. The... scale, the details, and the unique architecture make it one of the most remarkable interiors in Barcelona. It's a place where you can spend hours just looking around and still discover something you missed before.show more

CityVibesX
15,449 次观看 • 2 个月前
Coding software is a joke compared to building hardware.... Because when a software fails, it can be fixed quickly. In hardware, one mistake can set you back for months or end you. In hardware, every decision is cash flow. Every tiny error can cost tens of 1000s of dollars. You don’t get second chances. You get lessons, paid for in time and money. But when you finally get it right… You don’t just ship a product. You build a legacy. Something people touch, use, and trust for years. That’s the beauty and the pain of building in the real world.show more

Prakash Dadlani
12,402 次观看 • 10 个月前
We are pleased to present a new lateral-view animation... of the leg in motion. As the limb moves through extension and flexion, the active muscle groups light up. Now the challenge: can you name every muscle active in each phase? Most people miss at least one. #anatomystandardshow more

Anatomy Standard
22,759 次观看 • 9 个月前
🚨 JUST IN: CHINA just released an AI EMPLOYEE... that works 24X7 on its own. 100% OPEN SOURCE. It researches, codes, builds websites, creates slide decks, and generates videos. All by itself. All on your computer. It's called DeerFlow. You give it a task. It makes a plan, spins up its own team of sub-agents, and gets to work. You come back and there's a finished deliverable waiting. Not a draft. Not a summary. The actual thing. Not a chatbot. Not a research assistant. An AI with its own computer that works while you sleep. Here's what it does on its own: → Spawns multiple sub-agents in parallel, each tackling a different piece of your task, then combines everything into one finished output → Writes real code, runs it, reads the results, and fixes its own mistakes without asking you once → Builds slide decks, websites, full research reports, and data dashboards from scratch → Remembers you across sessions. Your writing style. Your tech stack. Your preferences. Gets better every time. → Reads files you upload, works with them inside its own filesystem, hands you clean finished outputs → Searches the web, runs commands, calls any tool you plug in Here's how it thinks: You give one instruction. The lead agent makes a plan. Sub-agents fan out and work in parallel. Results come back. Everything gets synthesized. You get a deliverable. A single research task might split into a dozen sub-agents, each exploring a different angle, then converge into one finished website with generated visuals. Here's the wildest part: DeerFlow 2.0 launched on February 28th 2026 and hit number 1 on all of GitHub Trending the same day. Version 2.0 was a complete rewrite. Zero shared code with version 1. Because users kept using it for things the team never intended. Data pipelines. Dashboards. Entire content workflows. The community told them what it needed to become. So they burned it down and rebuilt it. 22.7K GitHub stars. 2.7K forks. Built by ByteDance 100% Open Source. MIT License.show more

Kanika
738,392 次观看 • 5 个月前
A STANFORD GUY POINTED CLAUDE CODE AT 11,400 OBSIDIAN... NOTES AND FOUND 214 ARGUMENTS HE'D HAD WITH HIMSELF 7 years of notes, 340MB of markdown, and a graph view that looked like a brain but never once thought. Every Sunday he opened the vault and every Sunday he closed it again. The second brain was a landfill with good lighting. So he stopped reading it and let something else read it instead. 47 lines of config, one instruction: find every pair of notes written 2+ years apart that contradict each other. 19 minutes on a 2021 MacBook Air, then 214 pairs. He had changed his mind 214 times in 7 years and caught himself doing it zero times. Then came the one that stopped him a note from March 2019, 62 words, sitting in a folder called "misc," describing the exact product he'd spent the last 5 months and $18,000 building a research doc around. He solved it in 2019, filed it, and forgot it existed. The vault never failed him, it stored all of it perfectly, it just had no way to speak. Now a cron job wakes at 6 AM, reads 40 notes, and writes 1 paragraph: here's what you believed then, here's what you believe now, here's the gap. He hasn't opened the graph view since. He didn't need a second brain, he needed the first one to answer back.show more

Spike 1%
18,386 次观看 • 15 天前
🚨 SCIENTISTS ARE USING AI TO MAP A HIDDEN... “CLEANING SYSTEM” INSIDE THE HUMAN BRAIN AND IT COULD CHANGE HOW WE UNDERSTAND SLEEP, AGING, AND NEURODEGENERATIVE DISEASE. It’s called the glymphatic system a vast network of fluid channels that flushes toxic waste from the brain while you sleep. For years it was almost impossible to observe in detail. Now AI-powered imaging is revealing it like a living galaxy of microscopic rivers and pathways inside neural tissue. Why this matters: Your brain produces toxic proteins constantly. The glymphatic system is one of its primary waste-clearance mechanisms clearing the very proteins linked to Alzheimer’s, Parkinson’s, and other neurodegenerative diseases. But here’s the unsettling part: This cleaning system becomes dramatically less efficient with age, poor sleep, stress, and brain injury. Sleep may not just “rest” your mind it may literally wash your brain. The deeper implication is staggering: The brain isn’t just a computer. It’s a dynamic, living network that constantly rebuilds and cleanses itself in real time. The more we map it, the more it looks like an entire universe of connected energy flows inside our skulls. What if some neurological diseases begin when the brain can no longer properly “wash” itself at night? Follow for more frontier neuroscience and future technology.show more

TheNewPhysics
15,641 次观看 • 3 个月前
I launched 400 agents and hooked them up tightly... to a Second Brain, an active cloud supercortex coordinating this digital swarm in real time Before that, though, the Second Brain did something else. In just a couple of minutes, it playfully churned through gigabytes of old junk that had been gathering dust across various folders since time immemorial, perfectly sorting out all the abandoned documentation, notes, and archive files The dashboard exploded with a data stream, and four hundred autonomous threads simultaneously wrote code, hunted for bugs, and tested each other. If an agent hit a wall on complex logic, the Second Brain instantly pulled in a successful pattern from a neighboring thread, solving the issue in milliseconds. It was a digital storm of pure efficiency Four minutes flat later, the logs went quiet The terminal lit up, confirming that all 400 tasks were completed with zero errors I opened the finished project, revealing flawless architecture, complete test coverage, and a clean deploy. I closed my laptop lid, smiled, and went to sleep while the Second Brain, in the quiet of the servers, was already finishing up the documentation for the next sprint I highly recommend bookmarking this articleshow more

Bober_smart
316,221 次观看 • 14 天前