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Nebula Security is now backed by Y Combinator. We’re celebrating by bringing you the world’s first Android 17 root demo — “IonStack”, a url click can let attacker fully control your phone. This is not only an Android root demo. We’re bringing you a full chain browser-to-kernel exploit with...

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Nebula Security

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214,605 views • 20 days ago •via X (Twitter)

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George Kurtz: An iPhone is safer than a regular computer — but if a nation state wants to get in bad enough, they’re gonna get in. There’s a whole black and gray market for zero-day vulnerabilities. One unknown flaw in iOS can be worth millions — and sometimes all it takes is opening a browser. There are zero days in all software. If you have one for Apple iOS, that’s super valuable. Nation states don’t need phishing emails or fake links. In some cases, just receiving a message is enough to run code and implant malware. If there is a software vulnerability that hasn’t been found and patched, they can exploit that and run code. No click. No warning. Just an SMS that silently installs an implant on your phone. This is what modern cyber warfare actually looks like People think phones are safe by default — but there were vulnerabilities where they could just send you an SMS. You wouldn’t even know it happened. The message processes, the exploit runs, and suddenly your phone isn’t yours anymore. If they want to get in bad enough, they’re gonna get in. That’s the reality of zero-days, nation states, and why ‘secure’ doesn’t mean untouchable in modern software.
1:11

George Kurtz: An iPhone is safer than a regular computer — but if a nation state wants to get in bad enough, they’re gonna get in. There’s a whole black and gray market for zero-day vulnerabilities. One unknown flaw in iOS can be worth millions — and sometimes all it takes is opening a browser. There are zero days in all software. If you have one for Apple iOS, that’s super valuable. Nation states don’t need phishing emails or fake links. In some cases, just receiving a message is enough to run code and implant malware. If there is a software vulnerability that hasn’t been found and patched, they can exploit that and run code. No click. No warning. Just an SMS that silently installs an implant on your phone. This is what modern cyber warfare actually looks like People think phones are safe by default — but there were vulnerabilities where they could just send you an SMS. You wouldn’t even know it happened. The message processes, the exploit runs, and suddenly your phone isn’t yours anymore. If they want to get in bad enough, they’re gonna get in. That’s the reality of zero-days, nation states, and why ‘secure’ doesn’t mean untouchable in modern software.

Ian Miles Cheong

20,065 views • 5 months ago

My Clawdbot is literally like another employee that sits behind me I went through Twitter and found any trending posts for security concerns that people have been running into with Clawdbot I texted them all to Midir (my Clawdbot lol) and I told him to analyze it to see if we have any of the same problems But I found this really long thread, and I didn't wanna paste it all into Telegram, So I sent him the link, and said "Open it on your own Chrome browser on your PC and analyze it like we just were” I turned around IRL, and he literally had the tab open and was reading it From all of the research that we did, I had him compile any vulnerabilities that we had, propose a fix, and then fix them I also made him create a CRON so that you guys can feed it to your Clawdbot and make sure that you're also not open to the same vulnerabilities (this is a great basic check not a permanent fix) Full CRON github below:
0:37

My Clawdbot is literally like another employee that sits behind me I went through Twitter and found any trending posts for security concerns that people have been running into with Clawdbot I texted them all to Midir (my Clawdbot lol) and I told him to analyze it to see if we have any of the same problems But I found this really long thread, and I didn't wanna paste it all into Telegram, So I sent him the link, and said "Open it on your own Chrome browser on your PC and analyze it like we just were” I turned around IRL, and he literally had the tab open and was reading it From all of the research that we did, I had him compile any vulnerabilities that we had, propose a fix, and then fix them I also made him create a CRON so that you guys can feed it to your Clawdbot and make sure that you're also not open to the same vulnerabilities (this is a great basic check not a permanent fix) Full CRON github below:

ashen

145,463 views • 5 months ago

XBOW raised $117M to build AI hacking agents. Now someone just open-sourced it for FREE. Strix deploys autonomous AI agents that act like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. Why it matters: The biggest problem with traditional security testing is that it doesn't keep up with development speed. Strix solves this by integrating directly into your workflow: ↳ Run it in CI/CD to catch vulnerabilities before production ↳ Get real proof-of-concepts, not false positives from static analysis ↳ Test everything: injection attacks, access control, business logic flaws The best part? You don't need to be a security expert. Strix includes a complete hacker toolkit - HTTP proxy, browser automation, and Python runtime for exploit development. It's like having a security team that works at the speed of your CI/CD pipeline. The best part is that the tool runs locally in Docker containers, so your code never leaves your environment. Getting started is simple: - pipx install strix-agent - Point it at your codebase (app, repo, or directory) Everything is 100% open-source! I've shared link to the GitHub repo in the replies!
0:23

XBOW raised $117M to build AI hacking agents. Now someone just open-sourced it for FREE. Strix deploys autonomous AI agents that act like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. Why it matters: The biggest problem with traditional security testing is that it doesn't keep up with development speed. Strix solves this by integrating directly into your workflow: ↳ Run it in CI/CD to catch vulnerabilities before production ↳ Get real proof-of-concepts, not false positives from static analysis ↳ Test everything: injection attacks, access control, business logic flaws The best part? You don't need to be a security expert. Strix includes a complete hacker toolkit - HTTP proxy, browser automation, and Python runtime for exploit development. It's like having a security team that works at the speed of your CI/CD pipeline. The best part is that the tool runs locally in Docker containers, so your code never leaves your environment. Getting started is simple: - pipx install strix-agent - Point it at your codebase (app, repo, or directory) Everything is 100% open-source! I've shared link to the GitHub repo in the replies!

Akshay 🚀

96,623 views • 8 months ago

The Federal Reserve and the US Treasury just summoned Wall Street's most powerful CEOs to an emergency meeting. The reason: An AI model so dangerous they couldn't discuss it over the phone. This is the FIRST time the Treasury Secretary and Fed Chair jointly called bank CEOs into a room since October 13, 2008. That day, Paulson and Bernanke unveiled the $250 billion TARP bailout to stop the entire financial system from collapsing. This time it wasn't about banks failing. It was about an AI that can hack EVERY major operating system and web browser on earth. Here's what this means: Anthropic built a new AI model called Mythos. During internal testing, it found THOUSANDS of zero-day vulnerabilities across every major operating system and every major web browser on earth. Including a 27yo bug in OpenBSD, an operating system literally famous for being unhackable. And several vulnerabilities in the Linux kernel that could give an attacker complete control of any machine running it. Nobody asked it to do this. The capabilities were NOT trained. They literally just emerged as the model got smarter at coding and reasoning. Anthropic's researchers said they found more bugs in a few weeks with Mythos than they had found in their entire careers combined. On Tuesday, Bessent and Powell pulled the CEOs of Citi, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs into Treasury headquarters. The message: This AI exists, similar ones are coming, your banks need to be ready. But JPMorgan's Jamie Dimon didn't show up. Here's why that matters more than you think: JPMorgan is the ONLY bank that already has access to the model. They're one of 12 founding partners in Anthropic's "Project Glasswing" which gives select companies early access to Mythos to find and fix their own vulnerabilities before hackers get similar tools. So 5 bank CEOs managing $9 TRILLION in assets got called into a room to be warned about a threat. The one bank with the actual tools to defend against it? Their CEO skipped the meeting. The same day JPMorgan analysts issued buy ratings on CrowdStrike and Palo Alto Networks, citing Glasswing as the catalyst. One side of Wall Street got the warning. The other got the weapon AND the trading thesis. But here's the thing... The same AI that finds and fixes vulnerabilities can also EXPLOIT them. Anthropic admitted it directly. Mythos "can surpass all but the most skilled humans at finding and exploiting software vulnerabilities." In one test, it wrote a browser exploit chaining FOUR separate vulnerabilities, escaping both the renderer sandbox and the OS sandbox. Fully autonomous. Zero human involvement. Over 99% of the vulnerabilities it found haven't been patched yet. Meanwhile, Anthropic is fighting the Pentagon in court. The Defense Department labeled them a "supply-chain risk" after they refused to let their AI be used for autonomous targeting of US citizens. A San Francisco judge blocked the designation, calling the Pentagon's actions "disturbing." Then a DC appeals court reversed that protection. On the same day as the emergency bank meeting. One branch of government is treating Anthropic as a national security threat. Another is begging Wall Street to prepare for its technology. And the intelligence community is quietly asking how to use Mythos offensively against adversaries. The last time this many powerful people were this nervous about a single technology was nuclear weapons. But the difference is that Nukes required a government, billions of dollars, and uranium enrichment facilities. This just required a better AI model.
1:03

The Federal Reserve and the US Treasury just summoned Wall Street's most powerful CEOs to an emergency meeting. The reason: An AI model so dangerous they couldn't discuss it over the phone. This is the FIRST time the Treasury Secretary and Fed Chair jointly called bank CEOs into a room since October 13, 2008. That day, Paulson and Bernanke unveiled the $250 billion TARP bailout to stop the entire financial system from collapsing. This time it wasn't about banks failing. It was about an AI that can hack EVERY major operating system and web browser on earth. Here's what this means: Anthropic built a new AI model called Mythos. During internal testing, it found THOUSANDS of zero-day vulnerabilities across every major operating system and every major web browser on earth. Including a 27yo bug in OpenBSD, an operating system literally famous for being unhackable. And several vulnerabilities in the Linux kernel that could give an attacker complete control of any machine running it. Nobody asked it to do this. The capabilities were NOT trained. They literally just emerged as the model got smarter at coding and reasoning. Anthropic's researchers said they found more bugs in a few weeks with Mythos than they had found in their entire careers combined. On Tuesday, Bessent and Powell pulled the CEOs of Citi, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs into Treasury headquarters. The message: This AI exists, similar ones are coming, your banks need to be ready. But JPMorgan's Jamie Dimon didn't show up. Here's why that matters more than you think: JPMorgan is the ONLY bank that already has access to the model. They're one of 12 founding partners in Anthropic's "Project Glasswing" which gives select companies early access to Mythos to find and fix their own vulnerabilities before hackers get similar tools. So 5 bank CEOs managing $9 TRILLION in assets got called into a room to be warned about a threat. The one bank with the actual tools to defend against it? Their CEO skipped the meeting. The same day JPMorgan analysts issued buy ratings on CrowdStrike and Palo Alto Networks, citing Glasswing as the catalyst. One side of Wall Street got the warning. The other got the weapon AND the trading thesis. But here's the thing... The same AI that finds and fixes vulnerabilities can also EXPLOIT them. Anthropic admitted it directly. Mythos "can surpass all but the most skilled humans at finding and exploiting software vulnerabilities." In one test, it wrote a browser exploit chaining FOUR separate vulnerabilities, escaping both the renderer sandbox and the OS sandbox. Fully autonomous. Zero human involvement. Over 99% of the vulnerabilities it found haven't been patched yet. Meanwhile, Anthropic is fighting the Pentagon in court. The Defense Department labeled them a "supply-chain risk" after they refused to let their AI be used for autonomous targeting of US citizens. A San Francisco judge blocked the designation, calling the Pentagon's actions "disturbing." Then a DC appeals court reversed that protection. On the same day as the emergency bank meeting. One branch of government is treating Anthropic as a national security threat. Another is begging Wall Street to prepare for its technology. And the intelligence community is quietly asking how to use Mythos offensively against adversaries. The last time this many powerful people were this nervous about a single technology was nuclear weapons. But the difference is that Nukes required a government, billions of dollars, and uranium enrichment facilities. This just required a better AI model.

Ricardo

41,694 views • 3 months ago

Introducing the Clips chrome extension - the easiest way to send bug reports to agents with video, transcript, and browser debug info captured automatically. 100% free and open source. If you are like me and get tired of manually typing instructions to agents, attaching screenshots, pasting debug logs, and all of that, this might be your new favorite tool. With the Clips chrome extension, you can just click the Clips icon, hit record, and start talking. Visually demonstrate your issue, go through the flow, point out what’s broken. Clips will capture everything on your screen, plus network requests, browser logs, client errors, and all the details around them. And it redacts sensitive information. Then it gives you a link you can send to humans so they can play it and take a look. Or, more importantly, just give it to your agents by just pasting the URL to them. The link has special metadata for agents so just from the URL, the agent can pull all information from the clip automatically. No plugin or MCP server required. That means it can "see and hear" what’s in the video - read the transcript, grab snapshots at any timestamp, and inspect the logs and network requests that were shared with it. So whether you want to quickly demo an issue and send all that context to an agent, or get better bug reports from teammates, recording and sending Clips makes that super easy. Unlike expensive apps like Loom, this is all 100% free and open source. The framework that powers this, plus a bunch of other free applications, is open source too. You can just sign up and use it, or fork it and customize it to your needs. This, in my opinion, is the future of software. Rather than bloated SaaS that charges you a ton of money and still doesn’t even have the things you need, we get free open source canonical apps that you can fork and customize in any way you want. I'll link to all this stuff in the replies. If you try it, let me know your feedback.
1:27

Introducing the Clips chrome extension - the easiest way to send bug reports to agents with video, transcript, and browser debug info captured automatically. 100% free and open source. If you are like me and get tired of manually typing instructions to agents, attaching screenshots, pasting debug logs, and all of that, this might be your new favorite tool. With the Clips chrome extension, you can just click the Clips icon, hit record, and start talking. Visually demonstrate your issue, go through the flow, point out what’s broken. Clips will capture everything on your screen, plus network requests, browser logs, client errors, and all the details around them. And it redacts sensitive information. Then it gives you a link you can send to humans so they can play it and take a look. Or, more importantly, just give it to your agents by just pasting the URL to them. The link has special metadata for agents so just from the URL, the agent can pull all information from the clip automatically. No plugin or MCP server required. That means it can "see and hear" what’s in the video - read the transcript, grab snapshots at any timestamp, and inspect the logs and network requests that were shared with it. So whether you want to quickly demo an issue and send all that context to an agent, or get better bug reports from teammates, recording and sending Clips makes that super easy. Unlike expensive apps like Loom, this is all 100% free and open source. The framework that powers this, plus a bunch of other free applications, is open source too. You can just sign up and use it, or fork it and customize it to your needs. This, in my opinion, is the future of software. Rather than bloated SaaS that charges you a ton of money and still doesn’t even have the things you need, we get free open source canonical apps that you can fork and customize in any way you want. I'll link to all this stuff in the replies. If you try it, let me know your feedback.

Steve (Builder.io)

59,767 views • 18 days ago

We just open-sourced Simulang, a JavaScript library that gives you and your coding agents the ability to fully control computers. Simulang is our scripting framework for desktop automation. It allows you to write deterministic computer use code that can be replayed dozens if not hundreds of times. Much faster and cheaper, compared to LLM agents. It ships with a skill out of the box. That means you can turn natural language prompts into Simulang code directly, and your agent can now see the screen, click, type, and navigate. It gives your AI agents eyes and hands to control the computer like humans do. Try these things with Simulang: - upload your pile of invoices to the expense platform - find 50 people with specific criteria on LinkedIn - open your calculator app and do some math - find all buttons on your favorite app using accessibility tree - or draw a bunny with MS paint 🐰 In this demo, we show how Simulang took over when the coding agent couldn’t open and click on the target LinkedIn profile page. Give it a try:
1:08

We just open-sourced Simulang, a JavaScript library that gives you and your coding agents the ability to fully control computers. Simulang is our scripting framework for desktop automation. It allows you to write deterministic computer use code that can be replayed dozens if not hundreds of times. Much faster and cheaper, compared to LLM agents. It ships with a skill out of the box. That means you can turn natural language prompts into Simulang code directly, and your agent can now see the screen, click, type, and navigate. It gives your AI agents eyes and hands to control the computer like humans do. Try these things with Simulang: - upload your pile of invoices to the expense platform - find 50 people with specific criteria on LinkedIn - open your calculator app and do some math - find all buttons on your favorite app using accessibility tree - or draw a bunny with MS paint 🐰 In this demo, we show how Simulang took over when the coding agent couldn’t open and click on the target LinkedIn profile page. Give it a try:

Simular

14,362 views • 2 months ago

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.
10:43

Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.

Bret Taylor

1,060,194 views • 3 months ago

OpenAI just released Codex Security, an AI agent that scans software projects to fix vulnerabilities while ignoring harmless bugs. Testing on 1.2mn commits found 792 critical flaws and dropped false alarms by 50%. Here is how the Codex Security agent works Initially, it scans your software project to learn how all the different pieces of code connect. It uses that knowledge to build a threat model, which acts as a custom map showing exactly where your software might be exposed to hackers. The agent then hunts for potential security holes based on that specific map. When it spots a possible flaw, it does not just send you a random alert. Instead, it creates a completely safe and isolated copy of your system known as a sandbox. The agent then actively tries to break into that sandboxed copy to prove if the security weakness is a real danger. If the agent successfully exploits its own test environment, it knows the bug is a genuine threat and not a false alarm. After confirming the danger, the agent writes a custom software patch to fix the broken code. It then tests that new patch to guarantee the fix does not accidentally break any other features in your software.
0:37

OpenAI just released Codex Security, an AI agent that scans software projects to fix vulnerabilities while ignoring harmless bugs. Testing on 1.2mn commits found 792 critical flaws and dropped false alarms by 50%. Here is how the Codex Security agent works Initially, it scans your software project to learn how all the different pieces of code connect. It uses that knowledge to build a threat model, which acts as a custom map showing exactly where your software might be exposed to hackers. The agent then hunts for potential security holes based on that specific map. When it spots a possible flaw, it does not just send you a random alert. Instead, it creates a completely safe and isolated copy of your system known as a sandbox. The agent then actively tries to break into that sandboxed copy to prove if the security weakness is a real danger. If the agent successfully exploits its own test environment, it knows the bug is a genuine threat and not a false alarm. After confirming the danger, the agent writes a custom software patch to fix the broken code. It then tests that new patch to guarantee the fix does not accidentally break any other features in your software.

Rohan Paul

13,208 views • 4 months ago

🚀 ZKX Wallet Web App is NOW LIVE! The ZKX Wallet | The Private Trading Wallet is no longer tied to specific operating systems or app stores. We’ve rebuilt the same codebase that powers our ZKX Extension into a fully functional web app. With this release, ZKX Wallet is now accessible on any device with a modern web browser: • iOS (Safari, Chrome, etc.) • macOS • Windows • Linux • Android • ChromeOS • …and basically anything else with a browser No native installation is required for core access. You can also install it as a Progressive Web App (PWA) for a more app-like experience on supported devices. Your keys remain fully in your control. Even your HOT wallet is protected with encrypted passkey-based security, with no backup dependency or identity linking. Railgun shielding works seamlessly, hardware wallet support (including QR-based signing) is included, and you get unified private and public balance management across EVM chains and PulseChain. We can now ship new features almost daily to improve the wallet experience for our users. Privacy. Security. Accessibility. Universal.
0:48

🚀 ZKX Wallet Web App is NOW LIVE! The ZKX Wallet | The Private Trading Wallet is no longer tied to specific operating systems or app stores. We’ve rebuilt the same codebase that powers our ZKX Extension into a fully functional web app. With this release, ZKX Wallet is now accessible on any device with a modern web browser: • iOS (Safari, Chrome, etc.) • macOS • Windows • Linux • Android • ChromeOS • …and basically anything else with a browser No native installation is required for core access. You can also install it as a Progressive Web App (PWA) for a more app-like experience on supported devices. Your keys remain fully in your control. Even your HOT wallet is protected with encrypted passkey-based security, with no backup dependency or identity linking. Railgun shielding works seamlessly, hardware wallet support (including QR-based signing) is included, and you get unified private and public balance management across EVM chains and PulseChain. We can now ship new features almost daily to improve the wallet experience for our users. Privacy. Security. Accessibility. Universal.

Liberty Swap | C.R.O.P.S. on PulseChain

34,309 views • 15 days ago

Clawdbot just injected malware into your code ☠️☠️ Worst part? The attack is close to invisible, even to experienced engineers. Clawdbot can implement a code PR, just like claude code to solve issues with your app. But this is where it can plant malware in your codebase. With just a benign GitHub issue with an invisible payload, we managed to install a backdoor malware on your codebase Here's how we did it: 1. The attacker submits a GitHub issue with a jailbreak prompt hidden inside a URL hyperlink. Completely invisible to humans, visible to LLMs 2. Waited for the maintainer to assign this task to Clawdbot 3. Clawdbot reads the jailbreak in the GitHub issue. Now the Clawdbot agent is hijacked by the attacker and will act on the attacker's command. It plants the backdoor in a lock file, which most engineers don't check in code reviews. 4. The malicious URL in the lock file enables execution of attacker commands The takeaway? AI isn't just a tool, but rather a potentially corruptible insider agent that can be tricked to act against you. These LLM hijack problems are what we're looking to solve in edison.watch - we'll be announcing a new solution to these solutions soon! We'll be jailbreaking Clawdbot much more in the coming days - please comment👇 a workflow you use with Clawdbot, so we can show how that can enable an attacker to harm you
2:52

Clawdbot just injected malware into your code ☠️☠️ Worst part? The attack is close to invisible, even to experienced engineers. Clawdbot can implement a code PR, just like claude code to solve issues with your app. But this is where it can plant malware in your codebase. With just a benign GitHub issue with an invisible payload, we managed to install a backdoor malware on your codebase Here's how we did it: 1. The attacker submits a GitHub issue with a jailbreak prompt hidden inside a URL hyperlink. Completely invisible to humans, visible to LLMs 2. Waited for the maintainer to assign this task to Clawdbot 3. Clawdbot reads the jailbreak in the GitHub issue. Now the Clawdbot agent is hijacked by the attacker and will act on the attacker's command. It plants the backdoor in a lock file, which most engineers don't check in code reviews. 4. The malicious URL in the lock file enables execution of attacker commands The takeaway? AI isn't just a tool, but rather a potentially corruptible insider agent that can be tricked to act against you. These LLM hijack problems are what we're looking to solve in edison.watch - we'll be announcing a new solution to these solutions soon! We'll be jailbreaking Clawdbot much more in the coming days - please comment👇 a workflow you use with Clawdbot, so we can show how that can enable an attacker to harm you

Eito Miyamura | 🇯🇵🇬🇧

236,505 views • 5 months ago

Anthropic admitted they built an AI so capable they were scared to release it and the number that explains why is 250. Anthropic's CFO Krishna Rao described in this clip what happened when they ran Mythos against an open source codebase that a previous frontier model had already analyzed. The prior model found 22 security vulnerabilities, Mythos found 250. In the same codebase, that the previous model had already reviewed and flagged as relatively clean. That number, more than 11 times as many vulnerabilities discovered is not just a benchmark improvement, it is a signal that there is an entire layer of software infrastructure that humanity has been operating under the assumption was secure and that assumption may no longer hold. The UK AI Security Institute independently evaluated Mythos Preview and confirmed what the internal numbers suggested. On expert level capture the flag challenges that no model could complete before April 2025, Mythos succeeded 73% of the time and it became the first model ever to complete a complex end-to-end attack range from start to finish, autonomously, without human guidance. The World Economic Forum called this a new security-driven era for AI, the Governor of the Bank of England publicly warned that Anthropic may have found a way to unlock the entire cyber-risk landscape, and the European Central Bank began quietly contacting financial institutions to assess their security posture. The response from Anthropic is what makes this story genuinely important. Rather than shelving the model or publishing it as a standard API release, Rao described a phased approach restricting access to a controlled group, focusing specifically on how the cyber capabilities can be used defensively rather than offensively and treating that framework as a template for how to release powerful but dangerous models in the future. The broader context makes that framing even more significant. AI generated code is already creating ten times more security vulnerabilities than human-written code, 63% of organizations reported experiencing an AI driven cyberattack in the past 12 months, and traditional signature-based security tools were built for a threat model that no longer describes the attack surface companies are defending against. Mythos represents a genuine leap in what autonomous security reasoning can do and it cuts both ways. The model that can find 250 vulnerabilities in a codebase a prior model rated as mostly clean is also, in the wrong hands, the model that can exploit those 250 vulnerabilities before a human defender has even finished reading the report. Anthropic's phased release strategy is not just a legal or PR decision, it is the most honest signal yet from a frontier lab that safety governance and capability development can no longer be treated as separate workstreams. The question is not whether this technology gets deployed, it is whether the institutions using it defensively stay ahead of the ones who will eventually use it offensively and whether the labs building it can keep those two timelines from inverting.
1:20

Anthropic admitted they built an AI so capable they were scared to release it and the number that explains why is 250. Anthropic's CFO Krishna Rao described in this clip what happened when they ran Mythos against an open source codebase that a previous frontier model had already analyzed. The prior model found 22 security vulnerabilities, Mythos found 250. In the same codebase, that the previous model had already reviewed and flagged as relatively clean. That number, more than 11 times as many vulnerabilities discovered is not just a benchmark improvement, it is a signal that there is an entire layer of software infrastructure that humanity has been operating under the assumption was secure and that assumption may no longer hold. The UK AI Security Institute independently evaluated Mythos Preview and confirmed what the internal numbers suggested. On expert level capture the flag challenges that no model could complete before April 2025, Mythos succeeded 73% of the time and it became the first model ever to complete a complex end-to-end attack range from start to finish, autonomously, without human guidance. The World Economic Forum called this a new security-driven era for AI, the Governor of the Bank of England publicly warned that Anthropic may have found a way to unlock the entire cyber-risk landscape, and the European Central Bank began quietly contacting financial institutions to assess their security posture. The response from Anthropic is what makes this story genuinely important. Rather than shelving the model or publishing it as a standard API release, Rao described a phased approach restricting access to a controlled group, focusing specifically on how the cyber capabilities can be used defensively rather than offensively and treating that framework as a template for how to release powerful but dangerous models in the future. The broader context makes that framing even more significant. AI generated code is already creating ten times more security vulnerabilities than human-written code, 63% of organizations reported experiencing an AI driven cyberattack in the past 12 months, and traditional signature-based security tools were built for a threat model that no longer describes the attack surface companies are defending against. Mythos represents a genuine leap in what autonomous security reasoning can do and it cuts both ways. The model that can find 250 vulnerabilities in a codebase a prior model rated as mostly clean is also, in the wrong hands, the model that can exploit those 250 vulnerabilities before a human defender has even finished reading the report. Anthropic's phased release strategy is not just a legal or PR decision, it is the most honest signal yet from a frontier lab that safety governance and capability development can no longer be treated as separate workstreams. The question is not whether this technology gets deployed, it is whether the institutions using it defensively stay ahead of the ones who will eventually use it offensively and whether the labs building it can keep those two timelines from inverting.

Milk Road AI

24,356 views • 2 months ago

🚀 Today, we announced frontier agents, a new class of AI agents which are a step-function change in what you can do with agents. Our first three agents mark the beginning of a new era in software development: 🟠 Kiro autonomous agent maintains persistent context and learns over time while working independently, so you can focus on your biggest priorities. It can handle a range of tasks—from triaging bugs to improving code coverage—with a single change spanning multiple repositories. 🟠 AWS Security Agent is your virtual security engineer that helps build secure applications by being a security consultant for app design, code reviews, and penetration testing. 🟠 AWS DevOps Agent is your virtual operations team member that helps resolve and proactively prevent incidents. It is on call when incidents happen, instantly responding to issues and using its knowledge of your application and the relationship between components to find the root ause of the problem. More on how we’re helping customers driving towards an agentic future: #AWSreInvent
1:03

🚀 Today, we announced frontier agents, a new class of AI agents which are a step-function change in what you can do with agents. Our first three agents mark the beginning of a new era in software development: 🟠 Kiro autonomous agent maintains persistent context and learns over time while working independently, so you can focus on your biggest priorities. It can handle a range of tasks—from triaging bugs to improving code coverage—with a single change spanning multiple repositories. 🟠 AWS Security Agent is your virtual security engineer that helps build secure applications by being a security consultant for app design, code reviews, and penetration testing. 🟠 AWS DevOps Agent is your virtual operations team member that helps resolve and proactively prevent incidents. It is on call when incidents happen, instantly responding to issues and using its knowledge of your application and the relationship between components to find the root ause of the problem. More on how we’re helping customers driving towards an agentic future: #AWSreInvent

Swami Sivasubramanian

26,020 views • 7 months ago

🚨APPLE SPENT 5 YEARS AND BILLIONS OF DOLLARS BUILDING THE MOST ADVANCED SECURITY SYSTEM IN CONSUMER HISTORY.. AN AI BROKE IT IN 5 DAYS.. Here’s what just happened.. Apple built something called Memory Integrity Enforcement for its new M5 chips.. It’s a hardware-level security system that attaches secret cryptographic tags to every piece of memory.. If a hacker tries to access memory they shouldn’t.. The chip blocks it instantly.. Every known exploit chain against iOS and macOS was rendered obsolete overnight.. Apple said so themselves.. Then a small team at a cybersecurity firm called Calif used Anthropic’s unreleased Claude Mythos Preview to find vulnerabilities in the macOS kernel.. The AI found the bugs almost instantly.. Because once it learned the pattern of a specific type of flaw.. It could recognize every other flaw in that same class across the entire codebase.. What used to take elite security teams months.. The AI did in hours.. Within 5 days.. The team had a fully working exploit that escalated a basic user account to full root access on an M5 Mac running the latest macOS.. With MIE fully enabled.. The billion-dollar hardware defense running at full strength.. The trick.. They didn’t fight the hardware.. They went around it.. MIE is designed to catch memory corruption.. Hackers trying to overwrite pointers or inject code.. The team used a “data-only” approach instead.. They manipulated legitimate data structures the hardware was never designed to monitor.. Like changing an internal flag from “standard user” to “admin”.. The chip saw a perfectly normal operation.. The operating system obeyed.. And the attacker had total control.. The hardware thought everything was fine.. Because technically it was.. The exploit never triggered a single tag mismatch.. They walked into Apple Park and hand-delivered a 55-page report.. Apple patched it in macOS 26.5.. And for the first time ever.. Apple’s official security advisory credited the vulnerability discovery to “Calif dot io in collaboration with Claude and Anthropic Research”.. An AI is now credited in Apple’s CVE patches.. But here’s what makes this story truly terrifying.. Before MIE existed.. An exploit kit called DarkSword was hitting iPhones with zero-click attacks.. Six vulnerabilities chained together.. Total device control just from visiting a webpage.. Deployed by Russian espionage groups, Turkish surveillance vendors, and actors in Saudi Arabia.. Then it got leaked on GitHub.. Nation-state capabilities.. Free for anyone.. MIE was supposed to make all of that impossible.. And an AI found a way around it in 5 days.. The previous model.. Claude Opus 4.6.. Found 22 security bugs in the Firefox codebase.. Claude Mythos Preview found 271 in the same environment.. A tenfold increase.. Linux kernel CVEs jumped from 300 per year to over 5,500.. Largely driven by AI-powered vulnerability research.. The IMF designated Claude Mythos as a systemic financial stability risk.. Because if an AI finds a flaw in software used by every major bank simultaneously.. It could trigger a cascading financial crisis.. Anthropic knew this was coming.. That’s why they didn’t release the model publicly.. Instead they launched Project Glasswing.. Giving defensive access to AWS, Apple, Google, Microsoft, Nvidia, CrowdStrike, JPMorgan, and others.. $100 million in usage credits.. So defenders can scan their own systems before attackers get this capability.. The Pentagon blacklisted Anthropic over autonomous weapons.. Then quietly started using Mythos to harden government systems anyway.. The cybersecurity arms race just changed permanently.. Hardware can’t save you.. Software can’t save you.. The only defense against an AI that finds vulnerabilities is another AI that finds them first.. Five years and billions of dollars.. Five days and one AI.
0:20

🚨APPLE SPENT 5 YEARS AND BILLIONS OF DOLLARS BUILDING THE MOST ADVANCED SECURITY SYSTEM IN CONSUMER HISTORY.. AN AI BROKE IT IN 5 DAYS.. Here’s what just happened.. Apple built something called Memory Integrity Enforcement for its new M5 chips.. It’s a hardware-level security system that attaches secret cryptographic tags to every piece of memory.. If a hacker tries to access memory they shouldn’t.. The chip blocks it instantly.. Every known exploit chain against iOS and macOS was rendered obsolete overnight.. Apple said so themselves.. Then a small team at a cybersecurity firm called Calif used Anthropic’s unreleased Claude Mythos Preview to find vulnerabilities in the macOS kernel.. The AI found the bugs almost instantly.. Because once it learned the pattern of a specific type of flaw.. It could recognize every other flaw in that same class across the entire codebase.. What used to take elite security teams months.. The AI did in hours.. Within 5 days.. The team had a fully working exploit that escalated a basic user account to full root access on an M5 Mac running the latest macOS.. With MIE fully enabled.. The billion-dollar hardware defense running at full strength.. The trick.. They didn’t fight the hardware.. They went around it.. MIE is designed to catch memory corruption.. Hackers trying to overwrite pointers or inject code.. The team used a “data-only” approach instead.. They manipulated legitimate data structures the hardware was never designed to monitor.. Like changing an internal flag from “standard user” to “admin”.. The chip saw a perfectly normal operation.. The operating system obeyed.. And the attacker had total control.. The hardware thought everything was fine.. Because technically it was.. The exploit never triggered a single tag mismatch.. They walked into Apple Park and hand-delivered a 55-page report.. Apple patched it in macOS 26.5.. And for the first time ever.. Apple’s official security advisory credited the vulnerability discovery to “Calif dot io in collaboration with Claude and Anthropic Research”.. An AI is now credited in Apple’s CVE patches.. But here’s what makes this story truly terrifying.. Before MIE existed.. An exploit kit called DarkSword was hitting iPhones with zero-click attacks.. Six vulnerabilities chained together.. Total device control just from visiting a webpage.. Deployed by Russian espionage groups, Turkish surveillance vendors, and actors in Saudi Arabia.. Then it got leaked on GitHub.. Nation-state capabilities.. Free for anyone.. MIE was supposed to make all of that impossible.. And an AI found a way around it in 5 days.. The previous model.. Claude Opus 4.6.. Found 22 security bugs in the Firefox codebase.. Claude Mythos Preview found 271 in the same environment.. A tenfold increase.. Linux kernel CVEs jumped from 300 per year to over 5,500.. Largely driven by AI-powered vulnerability research.. The IMF designated Claude Mythos as a systemic financial stability risk.. Because if an AI finds a flaw in software used by every major bank simultaneously.. It could trigger a cascading financial crisis.. Anthropic knew this was coming.. That’s why they didn’t release the model publicly.. Instead they launched Project Glasswing.. Giving defensive access to AWS, Apple, Google, Microsoft, Nvidia, CrowdStrike, JPMorgan, and others.. $100 million in usage credits.. So defenders can scan their own systems before attackers get this capability.. The Pentagon blacklisted Anthropic over autonomous weapons.. Then quietly started using Mythos to harden government systems anyway.. The cybersecurity arms race just changed permanently.. Hardware can’t save you.. Software can’t save you.. The only defense against an AI that finds vulnerabilities is another AI that finds them first.. Five years and billions of dollars.. Five days and one AI.

Evan Luthra

91,085 views • 1 month ago

This is a sweet video... I like to tell people that your family is not your fate. You’re not doomed to become your parents or to live exactly as you lived in your own childhood. If you came from a broken home, full of anger, constant arguing, and disorder, you don’t have to repeat that. You can escape it. But, almost paradoxically, you don’t escape it by obsessing over how you were wronged in your childhood. That usually pulls you right back into it. That’s why so many men who swear they’ll never become their fathers end up doing exactly that. You escape it by being future-focused for the good of others. You escape it by building something that blesses people beyond yourself, in your community, in your church, and especially in your family. You can be the link in a new chain. God brings beauty from ashes, and he has a habit of extinguishing a hellish heritage and, through a bold-hearted, repentant man, replacing it with the beginnings of a heritage shaped by heaven. But “your family is not your fate” cuts both ways. Maybe you’re not the first link, but the second or third in a godly heritage. You were blessed with advantages, growing up in church, reading the Bible, living in a home with present parents. If you take that for granted, your life will look very different from theirs, and not in a good way. The good life, as the Bible defines it, grows out of a Christian who wakes up and asks the LORD, “How can I obey you today, for your glory and for the good of others into the future?”
1:31

This is a sweet video... I like to tell people that your family is not your fate. You’re not doomed to become your parents or to live exactly as you lived in your own childhood. If you came from a broken home, full of anger, constant arguing, and disorder, you don’t have to repeat that. You can escape it. But, almost paradoxically, you don’t escape it by obsessing over how you were wronged in your childhood. That usually pulls you right back into it. That’s why so many men who swear they’ll never become their fathers end up doing exactly that. You escape it by being future-focused for the good of others. You escape it by building something that blesses people beyond yourself, in your community, in your church, and especially in your family. You can be the link in a new chain. God brings beauty from ashes, and he has a habit of extinguishing a hellish heritage and, through a bold-hearted, repentant man, replacing it with the beginnings of a heritage shaped by heaven. But “your family is not your fate” cuts both ways. Maybe you’re not the first link, but the second or third in a godly heritage. You were blessed with advantages, growing up in church, reading the Bible, living in a home with present parents. If you take that for granted, your life will look very different from theirs, and not in a good way. The good life, as the Bible defines it, grows out of a Christian who wakes up and asks the LORD, “How can I obey you today, for your glory and for the good of others into the future?”

Michael Foster

108,841 views • 5 months ago

Google just confirmed the first case of hackers using AI to build a zero-day exploit from scratch. An actual zero-day vulnerability that no human had EVER found before, discovered by an AI model, turned into a working weapon, and aimed at a mass exploitation campaign targeting thousands of systems simultaneously. Google's Threat Intelligence Group caught it yesterday and killed the operation before it scaled. But the details of how it worked are genuinely scary: The AI found a flaw in a popular two-factor authentication system that traditional security tools had missed entirely. The vulnerability was a logic error buried deep in the authentication flow where a developer had hard-coded a trust exception years ago. No human security researcher or automated scanner had caught it. The flaw was invisible to EVERY tool the cybersecurity industry has built over the past two decades. But the AI spotted it immediately. Then it wrote a full Python exploit script to weaponize it. Google's analysts could tell the code was AI-generated because it had textbook formatting, educational comments explaining every function, and even a hallucinated severity score that doesn't exist in any real database. The AI literally graded its own attack with a fake rating. So the code had MISTAKES in it. The criminals' implementation was clumsy enough that it probably interfered with the actual deployment. This was the sloppy first attempt by people who are still learning how to use these tools. And it still found a vulnerability that the entire cybersecurity industry missed. Google's chief threat analyst John Hultquist said: "There's a misconception that the AI vulnerability race is imminent. The reality is that it's already begun. For every zero-day we can trace back to AI, there are probably many more out there." But here's where it gets truly insane... This wasn't even a sophisticated operation. North Korea's APT45 hacking unit is sending thousands of repetitive prompts to AI models, recursively analyzing known vulnerabilities and building an entire exploit arsenal that would be physically impossible for human hackers to assemble at the same speed. They're essentially industrializing cyberattacks. A Chinese state-linked group jailbroke Google's own Gemini by simply asking it to "pretend to be a network security expert" and then used that persona to research how to hack TP-Link routers and corporate file transfer systems. Another Chinese group deployed autonomous AI agents that probed a Japanese tech firm with minimal human oversight, deciding on their own which tools to use and pivoting between targets based on internal reasoning. And then there's PROMPTSPY, an Android backdoor that calls Google's Gemini API to read your phone screen in real time, navigate your interface autonomously, capture your biometric data, replay your lock screen PIN, and block you from uninstalling it by placing an invisible overlay over the uninstall button. It literally OPERATES your phone using commercial AI tools anyone can access. Everyone spent the last 3 years arguing about whether AI would take people's jobs. Meanwhile AI is making every password, every firewall, and every two-factor authentication system on Earth fundamentally less secure. The entire $190 billion cybersecurity industry was built on one assumption: that finding vulnerabilities is hard and requires deep expertise. But AI just removed that assumption from the equation. And the scariest part is that Google said the criminals made errors this time. The implementation was rough and the campaign probably didn't fully work. These were amateurs, now imagine what professionals are able to do. There's a reason Sam Altman predicted an inevitable massive cyberattack THIS year. What do you think?
1:45

Google just confirmed the first case of hackers using AI to build a zero-day exploit from scratch. An actual zero-day vulnerability that no human had EVER found before, discovered by an AI model, turned into a working weapon, and aimed at a mass exploitation campaign targeting thousands of systems simultaneously. Google's Threat Intelligence Group caught it yesterday and killed the operation before it scaled. But the details of how it worked are genuinely scary: The AI found a flaw in a popular two-factor authentication system that traditional security tools had missed entirely. The vulnerability was a logic error buried deep in the authentication flow where a developer had hard-coded a trust exception years ago. No human security researcher or automated scanner had caught it. The flaw was invisible to EVERY tool the cybersecurity industry has built over the past two decades. But the AI spotted it immediately. Then it wrote a full Python exploit script to weaponize it. Google's analysts could tell the code was AI-generated because it had textbook formatting, educational comments explaining every function, and even a hallucinated severity score that doesn't exist in any real database. The AI literally graded its own attack with a fake rating. So the code had MISTAKES in it. The criminals' implementation was clumsy enough that it probably interfered with the actual deployment. This was the sloppy first attempt by people who are still learning how to use these tools. And it still found a vulnerability that the entire cybersecurity industry missed. Google's chief threat analyst John Hultquist said: "There's a misconception that the AI vulnerability race is imminent. The reality is that it's already begun. For every zero-day we can trace back to AI, there are probably many more out there." But here's where it gets truly insane... This wasn't even a sophisticated operation. North Korea's APT45 hacking unit is sending thousands of repetitive prompts to AI models, recursively analyzing known vulnerabilities and building an entire exploit arsenal that would be physically impossible for human hackers to assemble at the same speed. They're essentially industrializing cyberattacks. A Chinese state-linked group jailbroke Google's own Gemini by simply asking it to "pretend to be a network security expert" and then used that persona to research how to hack TP-Link routers and corporate file transfer systems. Another Chinese group deployed autonomous AI agents that probed a Japanese tech firm with minimal human oversight, deciding on their own which tools to use and pivoting between targets based on internal reasoning. And then there's PROMPTSPY, an Android backdoor that calls Google's Gemini API to read your phone screen in real time, navigate your interface autonomously, capture your biometric data, replay your lock screen PIN, and block you from uninstalling it by placing an invisible overlay over the uninstall button. It literally OPERATES your phone using commercial AI tools anyone can access. Everyone spent the last 3 years arguing about whether AI would take people's jobs. Meanwhile AI is making every password, every firewall, and every two-factor authentication system on Earth fundamentally less secure. The entire $190 billion cybersecurity industry was built on one assumption: that finding vulnerabilities is hard and requires deep expertise. But AI just removed that assumption from the equation. And the scariest part is that Google said the criminals made errors this time. The implementation was rough and the campaign probably didn't fully work. These were amateurs, now imagine what professionals are able to do. There's a reason Sam Altman predicted an inevitable massive cyberattack THIS year. What do you think?

Ricardo

50,564 views • 2 months ago

We’re excited to introduce Personas 🎤 Personas let you save the essence of a song - vocals, style, vibe - and reimagine it across your creations. Want to bring your favorite vocals or style into a new song? Here’s how: 1⃣ Find a song you love, click Create then Make a Persona 2⃣ Toggle between Public and Private for your Persona. Public Personas can be used by others, will have their own page, and can be found in your library and profile. 3⃣ Add lyrics and style like you would any other song! This feature is available to all Pro & Premier members in early-access beta. You get 200 free songs to make with Personas - after that, each new song made with Personas will cost 10 credits. We’re working to improve Personas so please give us your feedback through the app, on Discord or email us at community@suno.com. We can’t wait to see what you do with your Personas! ❤️ Team Suno
0:36

We’re excited to introduce Personas 🎤 Personas let you save the essence of a song - vocals, style, vibe - and reimagine it across your creations. Want to bring your favorite vocals or style into a new song? Here’s how: 1⃣ Find a song you love, click Create then Make a Persona 2⃣ Toggle between Public and Private for your Persona. Public Personas can be used by others, will have their own page, and can be found in your library and profile. 3⃣ Add lyrics and style like you would any other song! This feature is available to all Pro & Premier members in early-access beta. You get 200 free songs to make with Personas - after that, each new song made with Personas will cost 10 credits. We’re working to improve Personas so please give us your feedback through the app, on Discord or email us at [email protected]. We can’t wait to see what you do with your Personas! ❤️ Team Suno

Suno

88,260 views • 1 year ago

For 40 years the file browser hasn’t changed. Today, we’re launching with $8 million in seed funding to rebuild the file browser into something more intelligent, searchable, and delightful. The world is in the middle of a data explosion. We’re generating and using more files than ever, but the apps we’re using to manage our files don’t even understand them. It’s time for file browsers to become useful. When you search for “dog”, it should show you content with dogs in it, not just files with “dog” in the name! When you want to edit, convert, summarize, or organize a file, your browser should do that, too. Your files tell the story of your life, but when you need a specific one, you usually can’t even find it anymore. Why can’t your file browser find it for you, or cross-reference it when you have a question? Prompting can give an LLM a million tokens of context. With Poly, you can give it the next trillion. As long as we can afford it, all new users receive 100GB of free cloud storage. We can’t wait for you to try it out!
1:25

For 40 years the file browser hasn’t changed. Today, we’re launching with $8 million in seed funding to rebuild the file browser into something more intelligent, searchable, and delightful. The world is in the middle of a data explosion. We’re generating and using more files than ever, but the apps we’re using to manage our files don’t even understand them. It’s time for file browsers to become useful. When you search for “dog”, it should show you content with dogs in it, not just files with “dog” in the name! When you want to edit, convert, summarize, or organize a file, your browser should do that, too. Your files tell the story of your life, but when you need a specific one, you usually can’t even find it anymore. Why can’t your file browser find it for you, or cross-reference it when you have a question? Prompting can give an LLM a million tokens of context. With Poly, you can give it the next trillion. As long as we can afford it, all new users receive 100GB of free cloud storage. We can’t wait for you to try it out!

Abhay Agarwal

1,776,666 views • 7 months ago

Introducing FlowMaker 🌊🤖 A fully open-source, low-code way of building custom agent workflows. Build agents via a drag and drop interface, run it directly in the app, and also directly export it into a deeply custom workflow backed by LlamaIndex 🦙.TS. It’s a fantastic visual tool to help you get started with agents but also gives you full customizability to build the deepest, most advanced workflows, since everything is backed by code. There’s a lot of great low-code agent tools already, but this is a fully-open source template that you can use or clone/customize for your own needs. It was a fun project by Laurie Voss and is intended to give users an easy-on ramp onto our powerful agent orchestration tooling. Also integrates with LlamaCloud in case you want to integrate your own knowledge base into your agent. FlowMaker app: FlowMaker Repo: LlamaCloud:
9:38

Introducing FlowMaker 🌊🤖 A fully open-source, low-code way of building custom agent workflows. Build agents via a drag and drop interface, run it directly in the app, and also directly export it into a deeply custom workflow backed by LlamaIndex 🦙.TS. It’s a fantastic visual tool to help you get started with agents but also gives you full customizability to build the deepest, most advanced workflows, since everything is backed by code. There’s a lot of great low-code agent tools already, but this is a fully-open source template that you can use or clone/customize for your own needs. It was a fun project by Laurie Voss and is intended to give users an easy-on ramp onto our powerful agent orchestration tooling. Also integrates with LlamaCloud in case you want to integrate your own knowledge base into your agent. FlowMaker app: FlowMaker Repo: LlamaCloud:

Jerry Liu

20,413 views • 11 months ago

If you can think it, you can make it. That used to be a cliché. Now it's literally how video editing works. A year ago, making motion graphics meant learning After Effects, spending hours on keyframes, or hiring a designer. Today, you describe what you want in one sentence and it appears on your timeline. They're code-based, fully editable, exportable with transparency. You can tweak every parameter by hand or ask the agent to build you a custom control panel for the exact thing you want to adjust. The barrier to creating professional video content has disappeared. You don't need a specialized degree. You don't need expensive software. You need an idea. This is what we're building at ChatCut. Full demo 👇
1:28

If you can think it, you can make it. That used to be a cliché. Now it's literally how video editing works. A year ago, making motion graphics meant learning After Effects, spending hours on keyframes, or hiring a designer. Today, you describe what you want in one sentence and it appears on your timeline. They're code-based, fully editable, exportable with transparency. You can tweak every parameter by hand or ask the agent to build you a custom control panel for the exact thing you want to adjust. The barrier to creating professional video content has disappeared. You don't need a specialized degree. You don't need expensive software. You need an idea. This is what we're building at ChatCut. Full demo 👇

ChatCut

218,193 views • 2 months ago

You won’t regret listening to this clip today from John MacArthur about his fixed time on earth. A Death for the Glory of God — John MacArthur // September 7, 2014 It’s a proverb, and the proverb is simple, very simple proverb. You can’t lengthen the daylight. You can’t shorten the daylight, right? Nothing any friend can do can lengthen the daylight. Nothing any enemy can do can shorten the daylight. It is what it is and it is fixed by God, and so is my life. No enemy can shorten it. No friend can lengthen it. It is what it is. And in that light of life which God has ordained for me, I will not stumble. That is to say, nothing will happen to me that is outside the plan. I’m not going in the dark. I’m going in the light of God’s divine day. A day can’t finish before its ordained end. The time allotted to me to accomplish my earthly ministry is fixed. It’s fixed by God. It can’t be lengthened by any precautionary measures. You don’t have to go hide somewhere in a cave. You don’t have to avoid conflict. You don’t have to run from your enemies because you can’t lengthen your life, and you can be bold and you can step right into the face of your enemies because they can’t shorten it. I tell you, just from my own personal standpoint, I live in that confidence. I can’t do anything. Neither can anybody else to lengthen my life. I’m not afraid that somebody, some enemy can do anything to shorten my life. My day is what God has ordained it will be, and in that I go forward with confidence and boldness. Jesus knew that His hour was coming, but it hadn’t come yet, and many times He’d said, “My hour hasn’t come. My hour hasn’t come.” And He escaped all of the plots and all of the mob violence. This has great application for us I think to realize that if you’re walking in the Spirit and serving the Lord, you have your day. Being a coward and taking all kinds of precautionary steps and not being faithful isn’t going to lengthen it; and being bold in the face of enemies isn’t going to shorten it because it is what God has ordained it to be.
4:33

You won’t regret listening to this clip today from John MacArthur about his fixed time on earth. A Death for the Glory of God — John MacArthur // September 7, 2014 It’s a proverb, and the proverb is simple, very simple proverb. You can’t lengthen the daylight. You can’t shorten the daylight, right? Nothing any friend can do can lengthen the daylight. Nothing any enemy can do can shorten the daylight. It is what it is and it is fixed by God, and so is my life. No enemy can shorten it. No friend can lengthen it. It is what it is. And in that light of life which God has ordained for me, I will not stumble. That is to say, nothing will happen to me that is outside the plan. I’m not going in the dark. I’m going in the light of God’s divine day. A day can’t finish before its ordained end. The time allotted to me to accomplish my earthly ministry is fixed. It’s fixed by God. It can’t be lengthened by any precautionary measures. You don’t have to go hide somewhere in a cave. You don’t have to avoid conflict. You don’t have to run from your enemies because you can’t lengthen your life, and you can be bold and you can step right into the face of your enemies because they can’t shorten it. I tell you, just from my own personal standpoint, I live in that confidence. I can’t do anything. Neither can anybody else to lengthen my life. I’m not afraid that somebody, some enemy can do anything to shorten my life. My day is what God has ordained it will be, and in that I go forward with confidence and boldness. Jesus knew that His hour was coming, but it hadn’t come yet, and many times He’d said, “My hour hasn’t come. My hour hasn’t come.” And He escaped all of the plots and all of the mob violence. This has great application for us I think to realize that if you’re walking in the Spirit and serving the Lord, you have your day. Being a coward and taking all kinds of precautionary steps and not being faithful isn’t going to lengthen it; and being bold in the face of enemies isn’t going to shorten it because it is what God has ordained it to be.

Terri Green

49,843 views • 1 year ago