CC the entire fam 🤝! Today, we’re announcing the new CC – an AI agent built for families to spend less time on logistics and more time together. You can now: 👤 Add up to 5 members to your CC agent ☀️ Start mornings aligned with a shared "Your Day Ahead" brief email 🗓️ Autosync schedules & to-dos with a shared Google Calendar and Tasks 💬 Coordinate in Google Chat with CC to offload relevant tasks (ie., crafting weekly meal plans, school supply shopping lists, etc) 📝 Delegate paperwork (ie., permission slips, forms, and more) for CC to complete under your direction 📌 Keep tabs on the details – CC remembers what applies to everyone (ie., family grocery lists, favorite restaurants) versus what applies to one person (ie., dietary restrictions, local timezones) Ready to keep everybody on the same page? Join the waitlist or upgrade your existing CC (US only, 18+): labs.google/cc

I was wrong I've been saying for months that open source AI models are 6 months behind frontier They caught up. GLM 5.2 is as good as Opus 4.8 This changes everything. If you run GLM 5.2 locally no government can take it away. You become sovereign And even if you run through APIs, its a fraction of the cost The battlefield is different now. If open source is as good as frontier, and people have cheaper alternatives, governments can't be as quick to regulate. It will destroy the frontier AI labs All of this is such a massive win for the people If you are not paying attention to local models yet, you are making a tremendous mistake

OMG OMG OMG OMG OMG OMG wtf wtf wtf wtf wtf wtf wtf wtf wtf I knew it would reach 60k, but it's hard for me to process how my life is going to change, and that's I am going to get it every month (or even higher)

A Google patent describes the process of Google building custom AI-generated landing pages for when people click on search results, instead of going to your website seroundtable.com/google-pate… hat tip @glenngabe @NarwhalJosh @BrandonLazovic

If your golf buddy usually wants a match with strokes… Would you consider offering the moneyline instead?

My AI agent finds expired domains, scores them, builds entire websites, and deploys them to production. All while I sleep. Here's the full pipeline 🧵 I wanted to build niche websites at scale. The bottleneck was never the content, it was finding good domains. Expired domains with existing backlinks are gold. But every platform that tracks them either charges $200/month or hides the good data behind a UI with no API. So I pointed my AI agent at one of these platforms and said: "Figure out how this works." Step 1: API reverse-engineering The agent opened the site in a headless browser, logged in, and intercepted every network request. Within minutes it had mapped the entire hidden API: → Authentication flow (CSRF tokens, session cookies) → Search endpoints → Result polling mechanism Then it wrote a standalone Python client. No browser needed anymore. Pure API calls. Step 2: Automated domain hunting I gave the agent a list of 30+ keywords across different niches. Every night at 2 AM, it: → Searches all keywords in parallel → Deduplicates results across runs → Pulls backlink metrics for each domain → Cross-references with a second API for keyword difficulty and search volume Step 3: Scoring algorithm Not all expired domains are equal. The agent scores each one: → Backlink quality (referring domains, authority) → Keyword relevance (does the domain match the niche?) → Price filter (auto-reject anything above my budget) → Red flags (spammy history, penalized domains) Top domains get flagged. I review 5-10 candidates instead of scrolling through hundreds. Step 4: Domain purchase Once I approve a domain, the agent: → Checks availability via registrar API → Purchases it (hard budget cap, no surprises) → Points DNS to Cloudflare automatically → Configures SSL, caching, security headers Step 5: Site deployment This is where it gets crazy. The agent: → Generates a full site structure (pages, content, internal linking) → Uploads everything to the server via API → Adds mandatory security headers (CSP, HSTS, X-Frame-Options) → Deploys a sitemap → Submits the site to Google Search Console → Verifies ownership automatically From "domain purchased" to "live site indexed by Google" zero manual steps. Step 6: Monitoring After deployment, a separate cron job: → Checks each site is still live → Monitors indexing status → Tracks keyword rankings over time → Alerts me if anything breaks The result? I went from manually building 1 site per week to deploying multiple sites per night. The AI handles: • Domain research • Purchase • DNS + SSL • Content generation • Deployment • SEO submission • Monitoring I handle: • Approving domain purchases • Strategic decisions • Coffee The real insight: Most people use AI to write blog posts faster. I used it to build the entire infrastructure that finds, buys, builds, deploys, and monitors websites end to end. The AI didn't just save me time. It made an entire business model viable that wasn't worth doing manually. That's the difference between "using AI" and "building with AI."

Feel free to vote for whoever you want for President but nobody loves your soil and water like this guy! The campaign has hit a ground swell, I think we'll reach triple digits this year #writein #roberts2020

Someone has managed to open a Shopify store via a subdomain on the official Kyle Jenner (@KylieJenner) cosmetics store - They're currently ranking fairly well for a bunch of new affiliate terms. Interesting exploit - Probably very illegal 😅