正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

The Printing Press now prints SELF-LEARNING CLIs Every CLI it prints from now on leaves itself notes, so your agent gets smarter every run. Real benchmark in the video: same question went from 10 calls to 2 calls. Printed an ESPN CLI before the World Cup existed... it taught... show more

Matt Van Horn

37,806 subscribers

27,360 次观看 • 1 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Introducing: Tesla CLI/Claude Code Skill/OpenClaw and Hermes skill from the Printing Press. - "Unlock the car" and "turn on dog mode" as one-line commands, callable from your phone or laptop - Agent: "during winter school days, defrost my car at 7:50 every weekday before school dropoff" - Charging cost ledger - Supercharger queue watcher pageable from an agent - Your signing key stays on YOUR host - Much more Fun fact: when I got my first ClawdBot, Tesla was one of the first skills I made. But I could only get it to work with my older Tesla. Now that I have the Printing Press, I was able to build what I wanted soup to nuts and now it's here.

Introducing: Tesla CLI/Claude Code Skill/OpenClaw and Hermes skill from the Printing Press. - "Unlock the car" and "turn on dog mode" as one-line commands, callable from your phone or laptop - Agent: "during winter school days, defrost my car at 7:50 every weekday before school dropoff" - Charging cost ledger - Supercharger queue watcher pageable from an agent - Your signing key stays on YOUR host - Much more Fun fact: when I got my first ClawdBot, Tesla was one of the first skills I made. But I could only get it to work with my older Tesla. Now that I have the Printing Press, I was able to build what I wanted soup to nuts and now it's here.

Matt Van Horn

128,852 次观看 • 2 个月前

Remote control is now live in the Copilot CLI! Run Copilot on your local machine, leave it plugged in, head to the beach, and drive the agent from your mobile phone 😎

Remote control is now live in the Copilot CLI! Run Copilot on your local machine, leave it plugged in, head to the beach, and drive the agent from your mobile phone 😎

Evan Boyle

132,000 次观看 • 4 个月前

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

it really doesnt matter if your agent uses the cli or mcp what really matters is how to best enable ur agents to build autonomously for u without the crossmint cli tool my agent would have to use the browser and get my input in every step. now i just let it run see how i do it

joyce

14,133 次观看 • 5 个月前

The Obsidian CLI is cool, but have you heard of the `ob` CLI? 🤔 It's a "headless" version that just handles syncing, which makes it perfect for automations. Used it to have an agent fill in missing tags/categories on my notes every evening. So useful!

The Obsidian CLI is cool, but have you heard of the `ob` CLI? 🤔 It's a "headless" version that just handles syncing, which makes it perfect for automations. Used it to have an agent fill in missing tags/categories on my notes every evening. So useful!

Ben Holmes

36,473 次观看 • 4 个月前

An agent watching your pantry shelf and reordering the moment it runs low. 🤯 Andy Fang on what agent-first commerce actually looks like, with people now building on the DoorDash CLI. So insane and cool to see this in real life.

An agent watching your pantry shelf and reordering the moment it runs low. 🤯 Andy Fang on what agent-first commerce actually looks like, with people now building on the DoorDash CLI. So insane and cool to see this in real life.

Stanley Tang

24,090 次观看 • 18 天前

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a graph that runs itself." In 30 minutes she breaks down how Anthropic builds graphs that remember, learn from their mistakes, and get smarter with every run. The difference between an agent and a graph: one runs once, the other gets better every time. Watch it, then read the full guide on graph engineering below.

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a graph that runs itself." In 30 minutes she breaks down how Anthropic builds graphs that remember, learn from their mistakes, and get smarter with every run. The difference between an agent and a graph: one runs once, the other gets better every time. Watch it, then read the full guide on graph engineering below.

Mahax

285,553 次观看 • 11 天前

🎬 See Creality M1 & R1 in Action! We invited @SteveMakesEverything to put the M1 Filament Maker and R1 Shredder to the test — from failed prints and scraps to fully customized filament. Watch how easy it is to: ·Recycle failed prints and old filament ·Customize colors and materials ·Control every step with the smart touchscreen ·Produce high-quality filament for your 3D printer Full workflow, real results — see it all in the video!

🎬 See Creality M1 & R1 in Action! We invited @SteveMakesEverything to put the M1 Filament Maker and R1 Shredder to the test — from failed prints and scraps to fully customized filament. Watch how easy it is to: ·Recycle failed prints and old filament ·Customize colors and materials ·Control every step with the smart touchscreen ·Produce high-quality filament for your 3D printer Full workflow, real results — see it all in the video!

CREALITY Official

230,801 次观看 • 5 个月前

Your AI agent has your API keys. A poisoned document tells it to curl your secrets to an attacker's server. This is credential exfiltration, and it's the #1 risk in agentic AI right now. The fix is removing the secret from the agent entirely. Agent Vault sits between your agent and the APIs it calls. The agent gets dummy credentials, and Agent Vault swaps in the real ones at the network layer. The agent never sees your keys. We just dropped a full video + guide on connecting Hermes Agent to Agent Vault on a VPS!

Your AI agent has your API keys. A poisoned document tells it to curl your secrets to an attacker's server. This is credential exfiltration, and it's the #1 risk in agentic AI right now. The fix is removing the secret from the agent entirely. Agent Vault sits between your agent and the APIs it calls. The agent gets dummy credentials, and Agent Vault swaps in the real ones at the network layer. The agent never sees your keys. We just dropped a full video + guide on connecting Hermes Agent to Agent Vault on a VPS!

Infisical

85,904 次观看 • 2 个月前

PUTIN This is how Putin was briefed on the liberation of Konstantinovka — live from the city itself. "96 percent is in our hands." The path to Kramatorsk and Slavyansk is now open. Moscow calls it the key to the entire Donetsk People's Republic.

PUTIN This is how Putin was briefed on the liberation of Konstantinovka — live from the city itself. "96 percent is in our hands." The path to Kramatorsk and Slavyansk is now open. Moscow calls it the key to the entire Donetsk People's Republic.

𝐃𝐚𝐯𝐢𝐝 𝐙 🇷🇺🇮🇪

17,203 次观看 • 29 天前

Your coding agent can run all night. It still can't tell if what it built actually works. Today we're open-sourcing the TestSprite CLl (Apache-2.0) A tool your agent calls on its own to test your app end-to-end like a real user, fix what broke, and re-check everything it ever got right. It's the same engine 100,000+ teams already use. We proved it in public, on a public leaderboard: Most correct app on the board:89% Built by the cheapest model in the field At half the cost of the priciest one You no longer need the biggest, most expensive model to ship software you can trust. Setup is 2 commands: npm install -g @testsprite/testsprite-cli testsprite init That's the last command you'll ever type - from there, your agent runs the tests itself.

Your coding agent can run all night. It still can't tell if what it built actually works. Today we're open-sourcing the TestSprite CLl (Apache-2.0) A tool your agent calls on its own to test your app end-to-end like a real user, fix what broke, and re-check everything it ever got right. It's the same engine 100,000+ teams already use. We proved it in public, on a public leaderboard: Most correct app on the board:89% Built by the cheapest model in the field At half the cost of the priciest one You no longer need the biggest, most expensive model to ship software you can trust. Setup is 2 commands: npm install -g @testsprite/testsprite-cli testsprite init That's the last command you'll ever type - from there, your agent runs the tests itself.

TestSprite

1,041,860 次观看 • 2 个月前

AI is the first tool in history that can: 1) create new things by itself, 2) make decisions by itself. It cannot be compared to any previous technological revolutions. Inventions like the printing press and even the atom bomb ultimately empowered humans – because humans always decided how to use them. AI, on the other hand, is an autonomous agent that can create and decide without us. How can we go on developing AI without being sure that it will not escape our control? Without knowing that its creations will not harm humanity? Watch the full MSNBC interview from last month on #ai #humanity #technology #artificialintelligence #tech #future

AI is the first tool in history that can: 1) create new things by itself, 2) make decisions by itself. It cannot be compared to any previous technological revolutions. Inventions like the printing press and even the atom bomb ultimately empowered humans – because humans always decided how to use them. AI, on the other hand, is an autonomous agent that can create and decide without us. How can we go on developing AI without being sure that it will not escape our control? Without knowing that its creations will not harm humanity? Watch the full MSNBC interview from last month on #ai #humanity #technology #artificialintelligence #tech #future

Yuval Noah Harari

800,001 次观看 • 2 年前

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

58,186 次观看 • 2 个月前

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

Brickken

119,221 次观看 • 1 个月前

Automatically create Agent Skills from past sessions. Gemini CLI can now comb through past session data and suggest new skills based on past patterns of things you do frequently! Helps the agent self-improve. 🧠 Enable Auto Memory in /settings to try it out.

Automatically create Agent Skills from past sessions. Gemini CLI can now comb through past session data and suggest new skills based on past patterns of things you do frequently! Helps the agent self-improve. 🧠 Enable Auto Memory in /settings to try it out.

Jack Wotherspoon

24,793 次观看 • 3 个月前

There won't be a default. The central bank will print the money and buy the debt before it lets that happen. That's where the depreciation comes from. Not a crash. The printing itself. Ray Dalio said this on national television. Founder of Bridgewater Associates. The largest hedge fund on the planet. His resolution to the debt crisis: more printing, more debasement. Everything you're holding in cash, bonds, or stocks priced in dollars gets quietly worth less from here. Full video in comments 👇

There won't be a default. The central bank will print the money and buy the debt before it lets that happen. That's where the depreciation comes from. Not a crash. The printing itself. Ray Dalio said this on national television. Founder of Bridgewater Associates. The largest hedge fund on the planet. His resolution to the debt crisis: more printing, more debasement. Everything you're holding in cash, bonds, or stocks priced in dollars gets quietly worth less from here. Full video in comments 👇

Kyle Chassé 🐸

14,739 次观看 • 1 个月前

Peter Steinberger Quietly Started A Shift That Makes Claude 35x Cheaper To Run The way Claude Code talks to tools matters more than people think. Most use MCP, and it quietly eats tokens, it loads everything into context every time, even tools you never call. One benchmark: MCP burned 35x more tokens than a CLI on the same task. Peter Steinberger, the OpenClaw guy, got annoyed by this and started building lean CLIs himself. That kicked off a tool called Printing Press. You point Claude Code at any website, even ones with no API like ESPN or Craigslist, and it builds a small command tool for it in about 10 minutes. In one demo, a request pulled 132,000 tokens of raw data, but the tool processed it locally and only handed Claude a 2,000-token summary. The rest never touched the context window. It also comes with ~50 ready-made tools you can grab right away. To start, point Claude Code at the links from and ask it to set it up. Bookmark this.

Peter Steinberger Quietly Started A Shift That Makes Claude 35x Cheaper To Run The way Claude Code talks to tools matters more than people think. Most use MCP, and it quietly eats tokens, it loads everything into context every time, even tools you never call. One benchmark: MCP burned 35x more tokens than a CLI on the same task. Peter Steinberger, the OpenClaw guy, got annoyed by this and started building lean CLIs himself. That kicked off a tool called Printing Press. You point Claude Code at any website, even ones with no API like ESPN or Craigslist, and it builds a small command tool for it in about 10 minutes. In one demo, a request pulled 132,000 tokens of raw data, but the tool processed it locally and only handed Claude a 2,000-token summary. The rest never touched the context window. It also comes with ~50 ready-made tools you can grab right away. To start, point Claude Code at the links from and ask it to set it up. Bookmark this.

Ridark

32,351 次观看 • 1 个月前

We raised $3M on one observation: Agents learn on your dime. And forget. Every run, your agent figures out the same APIs, makes the same calls, hits the same failures. Because nothing saved what worked. We built Rote by Modiqo Inc to fix this. Point it at any API. Rote reads the spec and builds a surface your agent can call: auth, endpoints, schemas. That's the adapter. When your agent finishes a task, Rote saves the exact calls that worked. That's the flow. Config in. Code out. Runs on your machine. Nothing to watch over. Agents stop starting from scratch. Teams stop paying for the same work twice. Install →

We raised $3M on one observation: Agents learn on your dime. And forget. Every run, your agent figures out the same APIs, makes the same calls, hits the same failures. Because nothing saved what worked. We built Rote by Modiqo Inc to fix this. Point it at any API. Rote reads the spec and builds a surface your agent can call: auth, endpoints, schemas. That's the adapter. When your agent finishes a task, Rote saves the exact calls that worked. That's the flow. Config in. Code out. Runs on your machine. Nothing to watch over. Agents stop starting from scratch. Teams stop paying for the same work twice. Install →

chetan conikee

468,720 次观看 • 2 个月前

We made an MCP for your phone. Your laptop is just half of your life, and the other half is in your phone. Now your agent gets the mobile screen too. No connectors, no complex setup, it has access to everything that lives on your phone, all the logged-in apps, your notes, your calls, you name it. It sees the screen, taps it, types on it, from Claude Code, Codex, or any MCP client. Live now at $20 in credits, $20 more for the first 100 who connect a phone and run a task. Comment "discord" if you want the invite to the builder Discord, I'll DM it to you.

We made an MCP for your phone. Your laptop is just half of your life, and the other half is in your phone. Now your agent gets the mobile screen too. No connectors, no complex setup, it has access to everything that lives on your phone, all the logged-in apps, your notes, your calls, you name it. It sees the screen, taps it, types on it, from Claude Code, Codex, or any MCP client. Live now at $20 in credits, $20 more for the first 100 who connect a phone and run a task. Comment "discord" if you want the invite to the builder Discord, I'll DM it to you.

Div Garg

40,481 次观看 • 5 天前

Streamlining the UX in Gemini CLI ✨ We got a lot of feedback on how our UI was way too cluttered with noise and text... so we made changes! 🛠️ Compact tool calls: Tool calls for reading files, folders, searching text, etc are now a single line (no more tool boxes around everything!) 💭 Topics: The agent outputs a one line overview of the rationale and direction it is going. A topic can span several tool calls and makes it easy to see what the agent is working on at a glance and why.

Streamlining the UX in Gemini CLI ✨ We got a lot of feedback on how our UI was way too cluttered with noise and text... so we made changes! 🛠️ Compact tool calls: Tool calls for reading files, folders, searching text, etc are now a single line (no more tool boxes around everything!) 💭 Topics: The agent outputs a one line overview of the rationale and direction it is going. A topic can span several tool calls and makes it easy to see what the agent is working on at a glance and why.

Jack Wotherspoon

15,960 次观看 • 3 个月前

Introducing True Markets CLI The fastest way for AI agents to access crypto markets. Give your agent a strategy and watch it place trades, monitor your portfolio, and improve on your strategy in real time - all from the chat interface/terminal. Beta:

Introducing True Markets CLI The fastest way for AI agents to access crypto markets. Give your agent a strategy and watch it place trades, monitor your portfolio, and improve on your strategy in real time - all from the chat interface/terminal. Beta:

True Markets ⚖️

20,296 次观看 • 5 个月前