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Addy Osmani, who works on Claude Code at Anthropic, has a concern about where AI is taking our minds. He admits that his AI agents now cover so much of his daily work that he hardly has to think critically anymore. In his view, the slide into mental dependence happens in three steps. First comes cognitive offloading, where you hand routine tasks to AI. Next is deferral, where you start taking its answers at face value. The last step is cognitive surrender, where you trust it without question. His warning is that any ability you stop practicing fades, and it fades faster than most people expect.

This repository gives you a free team of AI workers running directly on your hardware Forget messaging back and forth with single chatbots. This tool deploys an entire company on your computer: the lead manager automatically distributes tasks, while specialized agents write code, research information, and handle routine work without your involvement. You just set the overall goal, and the system figures out who handles what. Full privacy, zero subscriptions, and 100% local operation. Bookmark this before it goes viral. Link to the repository is in the comments.

I made AI build a device that’s 2,000 years old, and it works The Antikythera Mechanism: 33 bronze gears that tracked eclipses and lunar phases before the common era. Now it’s a 3D simulator: spin it, cut it open, explode it into parts, and watch how every gear moves the pointers. Claude Opus 5.5 built it with Teardown, a free skill from SkillMD. All you need is a reference image and a couple of lines of text. → a model driven by real physics equations, not just an animation → take it apart and run it with one click → open source, works through Claude Code The skill is in the comments ↓ Bookmark this post: in a week everyone will be asking how it’s done, and you’ll already have the answer.

You’ve been writing prompts wrong for 2 years. Here’s what the AI actually sees I took one question: “How do I start saving?” Then I pulled blocks out of the prompt one at a time. Watch what happens The full prompt = 4 blocks: ROLE: who is answering CONTEXT: who it’s for (25 years old, $3,000 a month, no savings) FORMAT: what shape the answer takes CONSTRAINTS: the limits (no jargon, under 50 words) The answer comes out sharp: move $300 to savings every payday, aim for a 3-month cushion, keep it in a separate account. Straight to the point. Now remove one block at a time: • No role: there’s an answer, but the tone is gone. The model doesn’t know who to be • No context: “save 10-20%, pick an amount.” Advice for everyone, which means advice for no one • No format: the answer turns into one solid wall of text instead of steps • No constraints: the AI starts rambling about inflation and the Fed’s rate instead of just helping The takeaway: a bad answer is usually not the model’s fault. You just didn’t give it one of the four blocks. Each block controls its own part of the answer: role → tone and voice context → numbers and your situation format → structure constraints → length and boundaries Next time an AI answer disappoints you, don’t switch models. Check which block is missing. Bookmark this post.

Your notes are dead. Here's how to turn them into a Claude-run "second brain" in 5 minutes (for free) Obsidian keeps notes as plain text files on your own computer. That means Claude Code can read and write them directly. Three free, open-source projects handle the setup: 1. obsidian-skills By Steph Ango, Obsidian's CEO (50K stars on GitHub). Teaches Claude Code, Codex and OpenCode Obsidian's native formats: wikilinks, Bases, Canvas, the command line. 2. claude-obsidian (16K stars) Drop articles, papers or notes into an inbox folder. Claude will: - write linked notes with sources - answer questions from your vault with citations - check for dead links Start with: /claude-obsidian:wiki 3. obsidian-second-brain (5K stars) Long-term memory for Claude Code, Codex and six other agents, kept right in your vault. Start with: /obsidian-init All three are MIT-licensed, so they're completely free. Link and install command in the comments below ↓

After an initial task was set, a Claude research model wrote an exploit that remotely runs commands with root privileges on a Linux server. No password. No action from the user. How it works: The core is CVE-2026-98432, a use-after-free flaw in the kernel’s network stack. During parallel handling of TCP requests, one part of the code frees data while another is still using it. The attack ran in two stages. First, it bypassed KASLR, the mechanism that randomizes where the kernel sits in memory (48 minutes). Then it took control and ran a command as root (about 5 minutes). But there are important caveats: It only works in a specific configuration with Multipath TCP (MPTCP). If you don’t have it enabled, this scenario doesn’t affect you. Anthropic used an internal, unreleased model. You can’t reproduce this with an ordinary chat prompt. Risk ratings differ sharply. The Linux team gave it 9.8 on CVSS, while Red Hat gave it 5.9, citing how hard it is to exploit. What to do: The patch is already merged into the mainline Linux branch and the supported stable branches. Check for an update from your distribution vendor.

Still paying for five AI subscriptions? You don’t need to Making one AI video usually means five logins, five bills and a pile of open tabs. Sunra squeezes all of that into a single API key. That one key opens the best image, video, voice and 3D models, including Seedance 2.5, Kling 4.0 and GPT Image 2.5. Why it holds up: 1. It’s connected straight to the teams that build each model, with no middleman. 2. You get exactly the model you ask for. No quiet swaps behind the scenes. 3. Fast, secure and made for real production work. Your console shows every call, itemized. 4. You pay what each model’s creator charges. No subscription on top. The old way: a separate app and account for every AI. The new way: one key, and everything else follows. Save this one. The next time your workflow turns into a graveyard of tabs, you’ll know where to look.