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Checking a Linux system for CopyFail exploitation traces with THOR Cloud Lite The video is 1 min long It shows: - creating a THOR Cloud Lite campaign - copying the one-liner - running it on a Linux system - reviewing the first findings in the report Actual scan time:...

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Florian Roth ⚡️

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13,099 просмотров • 2 месяцев назад •via X (Twitter)

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What Lisa Su actually held on stage: A mini PC the size of a lunchbox running Qwen3-235B locally, with no cloud and no discrete GPU Inside: the Ryzen AI Max+ 395, 128GB unified memory, 110GB usable as VRAM on Linux The first x86 chip that handles 200+ billion parameters on a single die AMD claims it beats the RTX 5080 by several times on memory-bound models — because the 5080 simply cannot fit them $1,400 to $2,500 once. cloud bills run $200 to $400 a month It pays for itself in a few months, then costs nothing per request This is not a faster GPU. it is the first real argument that your AI does not belong in someone else's data center

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How does Cargo look like? What you're seeing looks like a standard SSH session into a VPS. Log in, update packages, install Python3, Node.js, Golang, Vim etc.. The workflow is identical to any cloud server. What changes is the host isn't a data center. It's an Android phone connected to the Acurast network, running a full Linux container directly on the device. Workloads execute inside the phone's secure element with hardware-level confidential execution, hidden from the host OS and the device owner. Until Cargo, Acurast Processors ran JavaScript and Node.js workloads only. Now if it builds for Linux, it runs on Acurast. Live on Canary Network. Mainnet coming soon. Learn more:
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A trader turned $1,092 into $83,000 in 3 weeks using Anthropic’s guide and a simple 3 part setup. No coding, no subscriptions, just a lag detection system catching the gap between spot and 5 minute markets. Giving This Free for 24 hours. To get it: 1. Comment the word 'Guide' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)
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A trader turned $1,092 into $83,000 in 3 weeks using Anthropic’s guide and a simple 3 part setup. No coding, no subscriptions, just a lag detection system catching the gap between spot and 5 minute markets. Giving This Free for 24 hours. To get it: 1. Comment the word 'Guide' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

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Chris Uhlmann delivers a forensic takedown of Australia's energy transition — arguing that for the first time in human history, a civilisation has chosen to move backwards to inferior energy sources. From his grandfather's Queensland childhood to the moon landing, Uhlmann traces the extraordinary wealth fossil fuels created, then asks why Australia is dismantling the system that built it.
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Chris Uhlmann delivers a forensic takedown of Australia's energy transition — arguing that for the first time in human history, a civilisation has chosen to move backwards to inferior energy sources. From his grandfather's Queensland childhood to the moon landing, Uhlmann traces the extraordinary wealth fossil fuels created, then asks why Australia is dismantling the system that built it.

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OpenClaw expanded the ceiling for what autonomous AI agents can handle. The catch? Getting it running on your own machine can feel like a full time job. That is exactly why was built. No more wrestling with installs. Spin up a managed OpenClaw setup in the cloud and get straight to execution.

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Linux is the most widespread operating system, globally – but how is it built? Few people are better to answer this than Greg Kroah-Hartman (Greg K-H): Greg has been a Linux kernel maintainer for 25 years, and one of the 3 Linux Kernel Foundation Fellows (the other two are Linus Torvalds and Shuah Khan). Greg manages the Linux kernel’s stable releases, and is a maintainer of multiple kernel subsystems. We cover the inner workings of Linux kernel development, exploring everything from how changes get implemented to why its community-driven approach produces such reliable software. Greg shares insights about the kernel's unique trust model and makes a case for why engineers should contribute to open-source projects. Watch or listen: • YouTube: • Spotify: • Apple: Brought to you buy: • WorkOS — The modern identity platform for B2B SaaS. • Vanta — Automate compliance and simplify security with Vanta. Check out all of our current sponsor and their offerings: ---- One of the most surprising things I learned about Linux: although 4,000 developers contribute to the project from 500 companies per year, and has around 800 kernel maintainers, the project is run with email, git... and that's about it! No dedicated project managers, no regular meetings across the group. It's a truly fascinating and unique model (and only applies to the Linux kernel project: not to Linux distributions.) We go into more detail about this topic with Greg in the podcast as well.

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An interesting video was published by the Ukrainian Air Force Command. The footage shows the repulsion of a Russian air attack on Ukraine on February 7. Among the scenes are launches of air-defense missiles, apparently fired from something resembling a container-based launcher. However, the video does not allow a direct or definitive identification of the system shown, so it cannot be stated with certainty that this is the same platform. That said, it is possible that this is the first publicly released video showing the operation of the British Gravehawk air-defense system in Ukraine. According to statements from the United Kingdom, Ukraine received two prototype units of this air-defense system at the beginning of this year. The system itself was first unveiled almost exactly a year ago.

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Something cool - had Devin build a React Native app with Expo and test it on my phone in real time AI writes code in the cloud, I scan a QR code, app shows up on my device with hot reload. No local dev environment needed! I can run parallel sessions from anywhere.

nader dabit

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Hermes agent just left the terminal. 𝗛𝗲𝗿𝗺𝗲𝘀 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 dropped yesterday. native app for macOS, Windows, and Linux. for months Hermes was the agent that learned your projects, wrote its own skills, and built a model of who you are. all of it buried in terminal logs. now it has a window. the important part is that it's not a wrapper. it runs the same agent core, the same sessions, memory, and skills as the CLI. you can start a task in the terminal and finish it in the app without anything resetting. the state is shared across every interface, not copied between them. what the GUI actually adds: → streaming chat that shows live tool calls and inline reasoning instead of a spinner → a preview rail that renders pages, code, and images right beside the conversation → an artifacts panel that collects every file the agent has ever produced → remote gateway mode, so you can point the app at a VPS and run the heavy work elsewhere → skills, cron, profiles, and gateways managed point-and-click instead of through YAML → voice mode, drag-drop files, and inline image generation remote gateway mode is the one worth slowing down on. the agent runs 24/7 on a $5 server while you control it from your laptop like a local app. other agent UIs are chatboxes with a logo. this one shows the autonomy instead of hiding it, so you watch the skills load, the tools fire, and the artifacts pile up as it works. it was teased in Jensen's GTC keynote. MIT licensed, local-first, no telemetry. if you already run Hermes, download it and everything is already there. your chats, memory, and skills carry straight over. i wrote a full masterclass on Hermes Agent that walks through the SOUL. md identity layer, the three-tier memory system, the self-evolving skills loop, and how to run three specialized agents 24/7. desktop is the interface that finally does all of it justice. the article is quoted below.

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This FREE guide shows you how to build a full automated TikTok content machine with Claude Opus 4.7 one setup. 30 slideshows a week. $0 cost [ by the end you'll have ]: - a library of proven viral hooks - a Pinterest-to-slides pipeline that runs on autopilot - a full week of content scheduled in 2 hours - a system you can reuse every single week [ the workflow ]: > steal hooks from viral TikToks > pull images from Pinterest for free > generate slides with a script (no Canva) > Postiz schedules the drafts for a full week IDEA: you can sell it as a service for $200-300/mo for each creator setup this system one time and onboard 10+ clients (you can do it easily, since it's needed to any creator) most creators still do this manually.. this automates the entire pipeline save it. set it up this weekend
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This FREE guide shows you how to build a full automated TikTok content machine with Claude Opus 4.7 one setup. 30 slideshows a week. $0 cost [ by the end you'll have ]: - a library of proven viral hooks - a Pinterest-to-slides pipeline that runs on autopilot - a full week of content scheduled in 2 hours - a system you can reuse every single week [ the workflow ]: > steal hooks from viral TikToks > pull images from Pinterest for free > generate slides with a script (no Canva) > Postiz schedules the drafts for a full week IDEA: you can sell it as a service for $200-300/mo for each creator setup this system one time and onboard 10+ clients (you can do it easily, since it's needed to any creator) most creators still do this manually.. this automates the entire pipeline save it. set it up this weekend

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The biggest platform upgrade since Mainnet, explained by our Co-Founder Alessandro De Carli ☁️ 🫡 Acurast is moving from a Node.js-only runtime to full Linux-based containers. Every Android Acurast Processor on the network now functions as a decentralized server with confidential execution at the hardware level. No language barriers, full Debian software ecosystem, SSH access, and a VPS-like experience. What you can build: autonomous AI agents, browser automation across thousands of devices, algorithmic trading bots, even game servers. Running across the Acurast network on Android smartphones in 175+ countries. Decentralized Cloud. Same developer experience. No compromises. The future of compute does not live in a data center, it lives in your pocket. 👇
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The biggest platform upgrade since Mainnet, explained by our Co-Founder Alessandro De Carli ☁️ 🫡 Acurast is moving from a Node.js-only runtime to full Linux-based containers. Every Android Acurast Processor on the network now functions as a decentralized server with confidential execution at the hardware level. No language barriers, full Debian software ecosystem, SSH access, and a VPS-like experience. What you can build: autonomous AI agents, browser automation across thousands of devices, algorithmic trading bots, even game servers. Running across the Acurast network on Android smartphones in 175+ countries. Decentralized Cloud. Same developer experience. No compromises. The future of compute does not live in a data center, it lives in your pocket. 👇

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Kimmy K2.5 just launched a local cloud model. And it runs Open Claw for FREE forever. No API costs. No token limits. No subscriptions. Here's the setup 👇 → Download Ollama at → Install Kimmy K2.5 cloud model. → Launch Open Claw with one command. → Runs locally but uses cloud processing. → Zero laptop slowdown. → Works on older machines perfectly. I just set it up in under 2 minutes. Zero configuration. Zero technical skills. Want the commands? DM me.

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OpenClaw's memory out of the box sucks With this simple Obsidian system, it's actually awesome In this video I go over using Obsidian as a memory layer for your AI agent, making it SO much more smarter than it is now If you use OpenClaw or Hermes, you need to watch this:

Alex Finn

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Phase Space Is the Real Stage of Dynamics. So, Stop Watching the Object and Watch the State. Ordinary Space tells you where something is. Phase Space tells you what state it is in. Position alone is not enough because you also need the variable that tells you where the system is trying to go. In the animation, the left panel shows the particle moving in Ordinary Space, while the right panel shows the same system as a moving point in Phase Space. For one degree of freedom, the state is (x, p) and as time evolves, that state traces a trajectory t ↦ (x(t), p(t)) Instead of thinking of a differential equation as just a formula, Phase Space lets you see it as a flow on the space of states. For this lecture we use ẋ = p ṗ = x − x³ with Hamiltonian H(x,p) = 0.5 p² + 0.25 x⁴ − 0.5 x² #PhaseSpace #DynamicalSystems #NonlinearDynamics #HamiltonianMechanics #Mathematics
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Phase Space Is the Real Stage of Dynamics. So, Stop Watching the Object and Watch the State. Ordinary Space tells you where something is. Phase Space tells you what state it is in. Position alone is not enough because you also need the variable that tells you where the system is trying to go. In the animation, the left panel shows the particle moving in Ordinary Space, while the right panel shows the same system as a moving point in Phase Space. For one degree of freedom, the state is (x, p) and as time evolves, that state traces a trajectory t ↦ (x(t), p(t)) Instead of thinking of a differential equation as just a formula, Phase Space lets you see it as a flow on the space of states. For this lecture we use ẋ = p ṗ = x − x³ with Hamiltonian H(x,p) = 0.5 p² + 0.25 x⁴ − 0.5 x² #PhaseSpace #DynamicalSystems #NonlinearDynamics #HamiltonianMechanics #Mathematics

Mathelirium

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Linus Charles wrote Linux at 21 from his mother's apartment in Helsinki and he just explained the philosophy that made him give it all away for free: "When I started Linux, I needed an operating system for my own use, and today you find Linux everywhere." "In small embedded devices, supercomputers, this technology allows you to expand into many different niches." "Working in an open source project where you work with hundreds, potentially thousands of people, makes the whole technology even more interesting." "One of the nice things about Linux and open source in general is that there's a lot of different things and everybody has something that you can give to the project." PS. We post daily content strictly for dedicated entrepreneurs, so if you’re one of them, make sure to follow us Entrepreneurs on X for more. Like and repost if you found value in this post:
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Linus Charles wrote Linux at 21 from his mother's apartment in Helsinki and he just explained the philosophy that made him give it all away for free: "When I started Linux, I needed an operating system for my own use, and today you find Linux everywhere." "In small embedded devices, supercomputers, this technology allows you to expand into many different niches." "Working in an open source project where you work with hundreds, potentially thousands of people, makes the whole technology even more interesting." "One of the nice things about Linux and open source in general is that there's a lot of different things and everybody has something that you can give to the project." PS. We post daily content strictly for dedicated entrepreneurs, so if you’re one of them, make sure to follow us Entrepreneurs on X for more. Like and repost if you found value in this post:

Entrepreneurs on X

12,486 просмотров • 2 месяцев назад

This is a first. Yesterday, BYD announced that they will offer full damage coverage for owners using their God’s Eye Level 2+ Urban NOA system in China. BYD is providing one free full year of 100% damage coverage (vehicle repairs, third-party property damage, and personal injury liabilities with no payout cap) at no extra cost, as long as the system is used properly and in compliance with traffic regulations in China. They’re also fully guaranteeing coverage for owners using their Intelligent Parking System (their version of Tesla Summon). This is the first time an automaker has ever provided damage reimbursement for an advanced driving system.
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This is a first. Yesterday, BYD announced that they will offer full damage coverage for owners using their God’s Eye Level 2+ Urban NOA system in China. BYD is providing one free full year of 100% damage coverage (vehicle repairs, third-party property damage, and personal injury liabilities with no payout cap) at no extra cost, as long as the system is used properly and in compliance with traffic regulations in China. They’re also fully guaranteeing coverage for owners using their Intelligent Parking System (their version of Tesla Summon). This is the first time an automaker has ever provided damage reimbursement for an advanced driving system.

Nic Cruz Patane

172,718 просмотров • 1 месяц назад

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.
5:56

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

Santiago

26,589 просмотров • 19 дней назад