CaliforniAI Took Ur Job?. .
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Plus: 9 Free AI Skills that Power Every Loop Engineering Setup in 2026 (Full Breakdown)
Even Meta can’t get all the AI compute it wants. Google reportedly capped its Gemini access after demand outpaced supply, delaying projects behind the scenes.
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AI INSIGHTS
🛑 Google Caps Meta’s Gemini Access. AI Compute Crunch is Real?
According to a new report from the Financial Times, Google has officially placed limits on Meta’s access to its Gemini AI models. It’s raw computing physics. The demand for compute is simply outstripping the physical supply.
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Around March, Google informed Meta it couldn’t fulfill their massive compute requests for Gemini API access. This actually disrupted some of Meta’s internal AI projects and urged its engineers to conserve AI tokens.
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Meta was relying heavily on Gemini for back-end safety processes, content moderation, and coding because it outperformed their early open-source models. Because of this supply cap, Meta is now aggressively shifting workloads to its own newly developed “Muse Spark” mode.
To show you how tight the global compute market is right now, Google is so constrained that they recently signed a massive $920 million-a-month deal to lease 110,000 Nvidia GPUs from SpaceX just to act as “bridge capacity.”
Even though Google Cloud revenue hit $20 billion, CEO Sundar Pichai noted they were “compute-constrained,” which actually caused their cloud contract backlog to nearly double to a staggering $460 billion.
Meta is answering this bottleneck by taking matters into its own hands, committing a massive $600 billion by 2028 to build out its own U.S. data center fleet.
AI SOURCES FROM AI FIRE
1. Agent Loops Explained: AI Checks Itself, Scores Itself, Self-Improves Until Your Work is Done. Let AI review its own outputs, adjust, and keep improving automatically, saving you time & effort while producing higher-quality results.
2. 9 Free AI Skills that Power Every Loop Engineering Setup in 2026 (Full Breakdown). Install 9 AI skills every loop engineer uses to automate tasks, improve AI decision-making, and run workflows efficiently in 2026. Step-by-step mastery.
3. Video: Claude x Canva is ALL you need for Social Media Design (Copy My 3 Exact Workflows). Create editable Instagram posts, multi-slide carousels, dynamic product templates, save hours and scale your content like a pro.
NEW AI COURSE WORTH CONSIDERING
⚡ 5 Powerful AI Loops You Need to Try Right Now (Easily Set Up in 5 Minutes)
Each loop is easy to implement and gives tangible results, even if you’ve never coded before.
First, we broke down how agent loops work.
Then, we covered the AI skills that make those loops stronger.
→ Now it’s time to turn the concept into real workflows.
Matthew Berman, the creator of Loop Library, says he runs an AI Loop on his own production errors every day, reading the logs for anything actionable, fixing it, verifying the fix, and opening a pull request right there.
And if nothing actionable turns up, it doesn’t invent work just to look busy.
Now, I’ll walk through how an AI Loop actually works, then 5 loops you can copy and run today.
TODAY IN AI
AI HIGHLIGHTS
👀 Anthropic says Claude Tag is the next evolution of agents, with built-in memory, multiplayer collaboration, custom workflows. Best tips in this quick 6-minute video.
💻 Apple finally raised prices across several non-iPhone products as memory costs keep climbing. Mac Studio jumped from just $500 to $2,499. See the full price list.
🎨 Google AI Studio just added Design Variations. It now gives you multiple UI options for Build apps, so you can quickly pick and apply a better look. Try it free.
📘 Karpathy CLAUDE.md grows to 10 rules. Beyond writing code, it teaches coding agents to verify results, catch failures, or monitor their own reasoning. Steal it here.
👀 AI job-loss talk is getting harder to ignore. California Policy Lab has a tracker using unemployment claims to watch where AI may be hitting workers first. See it now.
🤖 Elon says Grok 4.5, with Cursor data added in supplemental training, is now in private beta at SpaceX & Tesla. Early tests show it may rival or beat Claude Opus.
💸 AWS also raised some NVIDIA GPU rental prices by roughly 20%. It’s another sign that the AI compute crunch is still pushing infrastructure, and cloud costs higher.
💰 Big AI Partnership: HP is scaling OpenAI Frontier across its business. During pilots, one engineer completed 122 pull requests in 43 projects, while AI freed up 82 hours of security work weekly.
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Step into your Workspace, and watch your AI employees go to work — posting daily, writing content that ranks, optimizing every campaign, and turning visitors into customers, across every channel, 24/7.
NEW EMPOWERED AI TOOLS
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🔑 Sales Bytes gives prompt frameworks for discovery calls, AI workflows that cut your admin time in half, and tool breakdowns you won’t find on Twitter. One email every Wednesday. Subscribe to Sales Bytes.
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🤖 discode.ai is your EU-friendly AI router: one interface for 100+ models, with every prompt auto-routed to the best one for the job.
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🗜️ GetCompress is a lightweight app that compresses videos, images, GIFs, PDFs in batches: get 90% smaller files with minimal quality loss.
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🗂️ Dotient is a local-first desktop application that helps you organize and search through your personal files using visual search.
AI BREAKTHROUGH
🛠️ BrowserBC Open-Sourced: Turning Human Clicks Into Reusable AI Skills
The ViDA team recently open-sourced BrowserBC, a system designed to solve a major headache in AI web automation: getting agents to understand complex browser tasks without burning through massive compute costs.
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BrowserBC bumped agent success rates on the notoriously difficult WebArena-Hard benchmark from 60% up to an impressive 81%.
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Because the agent isn’t guessing its way through the UI, the system reduces total tool calls by 27%. It knows exactly what to do & executes it cleanly.
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When you record a task, BrowserBC automatically cleans the trajectory, distills it down to the reusable core process, and organizes it into a Skill Graph for easy agent retrieval.
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The project is fully open-source on GitHub. It runs locally, just bring your own LLM API key and your data stays safely on your machine.
If you have ever watched an AI agent hopelessly click around a webpage trying to find a basic login button, you know why this matters.
Running heavy, top-tier models for basic web navigation is slow and expensive. BrowserBC proves that we don’t need agents to manually “think” through every single click. By letting humans define the exact path once, we can build a reliable library of rock-solid skills that smaller models can run flawlessly.
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