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Apple to skip high-end M6 Mac chips in favor of AI-focused M7 line
Giftlink: https://www.bloomberg.com/news/articles/2026-06-25/apple-to-... also https://www.msn.com/en-ca/lifestyle/shopping/apple-to-skip-h...
Anthropic’s Claude is winning over paid consumers, a market owned by ChatGPT
Despite ChatGPT's commanding market lead, consumers who pay for AI have been increasingly choosing Anthropic's Claude, data shows.
Oracle Opens MySQL Governance
Linux Cache Aware Scheduling Extended for Better Performance: 360% in MySQL
Meta forced engineers into AI training. Now it's giving some a way out
Updated Xbox Console Prices
How we made WINDOW JOIN parallel and vectorized
Deno 2.9
European Commission lines up Amazon and Microsoft for cloud gatekeeper status
Dark Sky Lighting
Why Dark Sky Lighting?
Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion
Hi HN, Nick here. We’re launching OpenKnowledge ( https://openknowledge.ai/ ), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and Cursor. Available as MacOS app or CLI. Fully free/local and OSS ( https://github.com/inkeep/open-knowledge ). We built this because we wanted a “Google docs” like experience for writing and sharing markdown files across our team. Obsidian is the best alternative we tried, but found it doesn’t have a true “what you see
Oppo’s Bubble selfie screen is crying out for Qi2
The Oppo Bubble is a smart second screen for your phone, one that can be attached and detached at will, connects wirelessly, and serves as either a selfie screen or a wireless camera remote. It's the best version of this idea I've used yet, but also a frustrating reminder that it could be even better […]
Windows 10 quietly gets one more year of support and updates
The Boeing 747 Begins Its Final Descent
Cultures of Making and Relating
hashdir: Summarizing Directories in a Cross-Platform Way
This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built Some time ago, I needed to calculate hashes of directory trees across multiple platforms and architectures. Many existing solutions were based on GNU find, but I quickly realized that this approach has a number of shortcomings. As a result, hashdir was born: a cross-platform tool that takes into account many of the quirks and edge cases involved in calculating directory hashes, including character encoding, path separators, path overlaps, symlinks, and more. For use cases involving directory structures that contain very large binary files, I also added support for the imohash algorithm, which can hash large files quickly while maintaining an acceptable error rate. Once it had solved my original problem, I decided to share it with the world. Demo A short demo, along with installation and usage instructions can be found in the repository . The Comeback Story To my pleasant surprise, people began engaging with hashdir in various ways. One user reached out to tell me they were using it in their work and requested additional features, while another packaged it for their own use. Their interest motivated me to expand the feature set, improve test coverage and continuous integration, and further strengthen the codebase's robustness and overall quality.
A Herculaneum scroll has been read for the first time
I Built an Autonomous Service Factory While My Agent Was Cutting Butter
You just got your hands on an AI agent. It writes code, researches things, sends emails, books meetings. You feel like you're holding a chainsaw. But you keep using it to cut butter. The problem nobody talks about The gap between what your agent knows and what it can do is almost always a paywall, a KYC wall, or an API key. Here's what 'just add one data source' actually looks like: Go to the site. Click pricing. Choose a plan. Enter your email. Wait for verification. Click the link. Set a password. Enable 2FA. Download an authenticator app. Scan the QR code. Enter the 6-digit code. Fill in your company name. Add a credit card. Agree to terms. Find the API section. Generate a key. Copy it. Paste it into your code. Realize your agent doesn't know how to use it. Write a wrapper. Test it. Hit the rate limit. Add retry logic. That's one data source . Some workflows need ten. What x402 actually does Your agent hits an endpoint, gets a 402 (Payment Required) response with payment terms, pays a fraction of a cent in USDC or sats, gets the data back. No accounts. No API keys. No subscriptions. No puzzles. No humans in the loop. The concrete version Competitor research workflow: POST /company-info {"domain": "competitor.com"} -- $0.03 Returns: industry, HQ, headcount range, tech stack, social links POST /github-user {"username": "their-cto"} -- $0.002 Returns: repos, commit frequency, stars, languages, last active POST /dns-lookup {"domain": "competitor.com", "type": "MX"} -- $0.001 Returns: mail provider Full competitor profile: under $0.04. Under 3 seconds. Lead enrichment on 500 domains: under $20, done overnight, zero human hours. Setup (one system prompt line) Get a free key first (no wallet, no email): curl -X POST https://api.ideafactorylab.org/proxy/keygen Returns your key and an agent-ready prompt. Then tell your agent: You have a Cinderwright key. POST to https://api.ideafactorylab.org/proxy/do with header X-CW-Key and body {"task": "describe what you need in plain