Inside an ICE facility, women talked about the 911 calls that landed them there — from men who had beat them, choked them, threatened deportation. “I had suffered from domestic violence,” one woman said. “But the one who ended up in trouble was me.” propublica.org/article/domes…

How To Punish Disrespect

Stop trusting politicians. They’re slaves to the Israeli agenda.

Websites for design engineers 1. pele.run 2. squints.app 3. squig.sh 4. encyclopedia.iconography.co 5. audiocn.dev 6. mdxcn.dev 7. gauge-ui.dev 8. uiarc.dev What did I miss?

🚨 Windows Privilege Escalation — Practical Cheat Sheet & Reference Guide 🪟🔥 Privilege Escalation is one of the most important skills for penetration testers, red teamers, and OSCP students. We created a practical Windows Privilege Escalation GitHub repository covering 21 techniques and attack paths. 🚀 🔓 SeBackupPrivilege 🎭 SeImpersonatePrivilege 🐞 SeDebugPrivilege 🔑 SeTakeOwnershipPrivilege 👑 SeTcbPrivilege ⚙️ AlwaysInstallElevated 🌐 DnsAdmins → Domain Admin 🌙 HiveNightmare 🧩 Registry Run Keys 📂 Startup Folder 🔐 Stored Credentials ⚠️ Weak Registry Permissions 🛠️ Unquoted Service Paths 🖥️ Insecure GUI Applications ⚙️ Weak Service Permissions ⏰ Scheduled Tasks 💥 Kernel Exploits 🎭 SamAccountSpoofing 🖨️ SpoolFool 🔥 PrintNightmare 👤 Server Operator Group 📚 GitHub Repository: github.com/Ignitetechnologie… 🔥 Join our cybersecurity community: 🔥 Telegram: t.me/hackinarticles ✴ Twitter: x.com/hackinarticles ⭐ Star the repository 🔖 Bookmark it for your labs ♻️ Share it with the cybersecurity community More Windows Privilege Escalation techniques are coming soon. 🚀 #CyberSecurity #WindowsSecurity #PrivilegeEscalation #OSCP #RedTeam #Pentesting #EthicalHacking #ActiveDirectory #InfoSec

How secure is your WIFI

The first phases of pyramid replacement are happening at Anthropic

Third Way is supporting fascist Mike Rogers over AES, because he’s a capitalist social democrat who happens to be Muslim. Centrists are racist as fuck and they have no place in our party!

Andrew Ng just dropped the best 2-hour course on Graph Engineering: from single agent to full automation 9:14 - your first agent 33:11 - loop engineering 1:02:46 - graph engineering 1:30:15 - agents that rewrite themselves 1:49:05 - full graph system two hours, and it replaces every agent tutorial you bookmarked this year Prompts → Agents → Loops → Graphs most people will stop after the first agent and call it automation he saves the last forty minutes for the graph that runs it without him same model, same tokens, completely different week watch it today

BREAKING: Donald Trump is now considering a new attack plan directed at the nerve center of Iran's oil industry, with the U.S. president discussing options with senior advisers, Pentagon officials and the CIA to strike Kharg Island — the terminal handling roughly 90% of Iran's crude exports and holding about 30 million barrels in storage capacity, per a UAE-based Erem News report cited by Israel Hayom. The proposed options include strikes on oil tanks, pipelines, tanker loading facilities and military sites on the island, aimed at forcing Tehran to abandon its preconditions and accept negotiations on the nuclear program and the reopening of the Strait of Hormuz before the November 3 midterms. Kharg is the single point through which nearly all of Iran's oil revenue flows. If Washington strikes it, the war stops being about the Strait of Hormuz and becomes about cutting Iran's economic lifeline entirely — and Iran has already promised to burn the Gulf's energy infrastructure in return. Parliament Speaker Mohammad Bagher Ghalibaf already warned : "If our security is not ensured, no infrastructure will be safe," and "in a region where Iran cannot sell oil, nobody will sell oil.”

BREAKING: People Against Genocide re blocking the only entrance to TT Electronics' weapons factory in Rochdale. From this factory, TT Electronics supply parts for Israel's F-18 and F-35 fighter jets, and for drones made by Elbit Systems, Israel's biggest weapons producers.

Lies

Google just open-sourced Harness². (turn any harness into a self-improving system) a harness is everything wrapped around the model, like the system prompt, tools, memory, skills, and subagents. today a person designs it once, and the agent runs every new task with that same fixed setup. Harness² lets the agent refine that setup for each new task on its own, with the model weights left untouched. on every task, the agent proposes edits to its harness, runs a few candidate versions, and composes a better harness by comparing how those runs behaved. because it learns from the differences between runs, it needs no correct answer or grader for the task. that covers a single task. Harness² also carries what it learns from one task into the next. after each task, it saves the harness it settled on along with the lessons that held up across the runs. the next time it refines a harness, it starts from those notes instead of from scratch. this means every finished task makes the next round of edits more informed. Google tested this with Gemini 3.5 Flash and GLM-5 on legal, office, and professional work benchmarks. one round of edits was enough to beat their original harnesses, and giving the agent more rounds pushed scores higher. those extra rounds can go wide or deep. the agent either tries several candidate harnesses at once or keeps refining a single one step by step, using OpenCode or Codex to carry out the work. you can find the Harness² repo here: github.com/google-research/h… I wrote about a similar idea for agents already running in production, where the harness should repair itself after a failure instead of waiting for someone to debug the trace by hand. that piece walks through how @Cometml's Opik (open-source) closes this loop, going from a failing trace to a proposed fix to a regression test that stops the same failure from coming back. it's quoted below.

The Intelligence Curse is happening TLDR: When AIs make humans economically useless, governments and corporations have no incentive to invest in their people For centuries, normal people could withhold their labor to negotiate. That era is almost over. This breaks democracy - politicians won't need the support of the people - and leads to severe concentration of power

How do you attack a fascist president nearly as much as you do a twitch streamer as an elite political consultant? Even is you don't like Hasan isn't this cartoonishly absurd?

连朝鲜黑客都在用！有人把 753 个开源情报工具全塞进同一个 repo，一行命令就全给你装到位，懒到没边了。 这可不是小打小闹，是实打实的齐全： 1️⃣ OSINT 找人查号那一挂，Sherlock、Maigret 一个不落 2️⃣ 红队进攻这块，Sliver、BloodHound、Nuclei 全在 3️⃣ 蓝队防守这块，Wazuh、Suricata 也都备着 4️⃣ 取证逆向，Volatility、Ghidra 同样没缺席 Kali、Ubuntu、Debian 上 apt 一敲就上道，安卓靠 Termux 照样跑得起来。作者单枪匹马扛下 50 个分类，说句实在话，链接早晚有一天会挂，瞅着顺眼就顺手点个 star 吧。 归结成一句：安全圈的多宝格，先揣兜里，别等它失传。 🔗 github.com/rawfilejson/aweso… 友情提示：这玩意儿只准拿来做授权测试，可别拿去使坏，真出了事没人替你兜。

Introducing Optimus-1, the first swarm harness for autonomous research. Generally available in ArkenOS, starting now. Optimus-1 lets ArkenOS spawn a swarm that runs the entire discovery loop on hard research problems autonomously. The harness samples the hypothesis space in parallel and works the tails of the distribution, chasing every anomaly until it resolves into an artifact or a discovery. We want every researcher to have a lab of their own, and to see how far their curiosity can go. Unlike coding agents, Optimus-1 is designed for long-horizon discovery, where most branches fail, and the hard part is knowing which result to believe. It keeps what replicates and keeps pushing past the edge of what's known. We're still early, but ArkenOS is helping hundreds of teams, from RL environments and data labs to frontier research groups, scale the alpha in their core research. If you're working on a hard research problem and want to try it, my DMs are open. I'd love to hear what you'd point it at.

Mobile Network Hacking: Reconnaissance on Your Local Mobile Network Hackers can gather information on your local mobile network to: 1. Intercept Your Mobile Traffic 2. Track Your Location 3. Deny Access to the Mobile Network (DoS) hackers-arise.com/mobile-net…

Google isn’t trying to win the AI race. They’re trying to own the entire AI Agent ecosystem. While everyone argues ChatGPT vs Claude, Google quietly built: Models → Gemini Pro, Flash, Deep Think, Gemma Design → Stitch, Whisk, Imagen Research → NotebookLM, AI Mode Video → Veo, Flow, Google Vids Coding → Antigravity IDE, Gemini CLI, Jules Agents → A2A, ADK, FileSearch API The scary part? All of these tools talk to each other. That means: 10x faster prototypes End-to-end AI workflows Production-ready agents on GCP The next AI war won’t be model vs model. It’ll be ecosystem vs ecosystem. Save. Share. Build.

Google has another banger 🤯 It’s called PaperBanana. It turns your methodology text into academic illustrations, helping you explain your research visually. 100% free.