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Welcome, humans.

So DuckDuckGo sold out of $35 sunglasses with no camera, mic, AI, or battery because they're JUST sunglasses.

"No AI" is officially premium.

Meanwhile, candidates add AI until none may be left: Cluely feeds answers; Claude supplies a... whole other person?

Maybe hire people and test the job, with or without AI. Sandbox them two weeks without sensitive files. If they hack you, they're OpenAI's new model or future spy-thriller characters. What fun times!

Here’s what happened in AI today:

• 🙀 The AI data center revolt is becoming a major political issue.

• 📰 OpenAI slowed Astra research over potential Critical cyber capabilities.

• 📰 SpaceX’s reported $60B Cursor acquisition could close next week.

• 🍪 Nativ runs multimodal AI models entirely on your Mac.

• 🎓 Save agent lessons into reusable memory for the next run.

… and a whole lot more that you can read about here.

🙀 The “AI Data Center Revolt” Is Actually a REALLY big deal for the AI industry…

The data-center revolt may be the year's biggest AI story: Americans who disagree on everything agree they hate datacenters. Reporter Jasmine Sun shared lessons from a 10-day, four-site Wisconsin and Michigan trip on The Ezra Klein Show.

• Opposition is bipartisan: roughly 70% oppose a nearby center; 100+ moratorium proposals circulate.

• Complaints: huge power demand, noise, and very ugly buildings.

• Power: projects outrun grids, raising rates and rebuilding public infrastructure for one wealthy customer.

• Water: newer closed-loop systems recycle most, but scarcity symbolizes who gets resources.

• Secret NDAs fueled distrust.

• Residents distrust promised jobs, taxes, and rates: "I don't believe them."

• AI lacks a constituency. Housing has residents, auto plants workers, renewables environmentalists; AI feels useful, not town-transforming essential.

• "Permanent underclass" fears ask residents to supply resources for infrastructure that may make them disposable. NO thanks.

Residents face noise, construction, power lines, possible rate hikes, few permanent jobs, tax breaks, and private decisions. These are real local conversations. Daily ChatGPT users can still reject the idea that enjoying an app means their town owes the AI industry ("a handful of billionaires") land, cheap resources, and political deference. Before US midterms, AI is kitchen-table politics: bills, farmland, jobs, democracy, and whether towns can say no (ish?).

Sun says some deals help: a developer might spend $30M cleaning contaminated land and reviving factories, if towns transparently share the upside. Moratoriums won't stop centers; they'll move overseas, out of state, or into space. Compute is geopolitical leverage for frontier models and cybersecurity, so authoritarian hosts could reduce US control. The AI Futures pacing plan instead makes labs reserve most compute for existing models and safety tests, turning infrastructure into government's AI throttle.

Jasmine's sharpest point: industry calls this marketing when nah, it's a PRODUCT problem; AI is problematic. AI feels like a toy or boost, not $1T+ infrastructure. We're scaling before fixing alignment, hallucinations, context/memory, continual learning, and efficiency. IMO one architecture causes all five; more centers won't fix it. It is literally unsustainable. So candidates must answer: "Who pays for AI, who gets to decide where it's built, and who gets the benefits?"

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🎓 AI Skill of the Day: Build an Agent Knowledge Flywheel

AI can do great work and forget the lesson. Yisong Yue's "knowledge flywheel" makes agent runs reusable memory.

Save what worked, failed, when, and why in instructions or shared knowledge the next agent reads.

After substantial work:

1. Review the run.

2. Extract lessons that change the next similar task.

3. Save them for the next session.

Favorite insight: the system can remember even if the model doesn't.

Review the task we just completed. Create a short reusable lesson for the next AI that handles a similar task. Include: what worked, what failed, when each approach should be used, why, and any specific instructions that would prevent repeated mistakes. Keep only information that would materially improve the next run.

Have a specific skill you want to learn? Request it here.

🍪 Treats to Try

1. Adobe for ChatGPT: 70+ Photoshop, Firefly, Premiere, Acrobat, image, video, design, and PDF tools (announcement, assets) —free to try.

2. Nativ: local Apple Silicon language, vision, audio, video, code, and embedding models, no account/cloud —free/open-source.

3. Cloudflare Kitesurf: lightweight agent browser for pages, screenshots, and automation —free beta.

4. Opus 5 Skills Upgrade Prompt: audits, rewrites, and blind-tests Claude Code skills —free to try.

5. Instaplay: prompt-to-shareable solo, party, co-op, or competitive browser games —pricing not public.

6. Lattice: 8 MB local retriever for huge text collections without heavyweight embeddings —free/open-source.

7. Sonic Compass: true-North spatial audio for persistent direction sense —pricing not public.

📰 Around the Horn

• OpenAI slowed Astra over possible Critical cyber capability, adding controls against another "Mewfour" rogue agent.

• SpaceX's reported $60B Cursor deal could close next week and fold Cursor into SpaceXAI.

• ByteDance reportedly pre-trained up to 10T parameters, near Anthropic Mythos.

• OpenAI reportedly designed a $300–$400 human-like doughnut speaker with cameras, mics, lights, speakers, and moving parts.

• DeepSeek V4 Flash: 61.4% ARC-AGI-2 at about four cents/task.

• Disney tested natural-language Disney+ discovery and conversational ESPN search.

Want absolutely EVERYTHING that happened in AI this week? Click here!

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🌟 Sunday Special: The Biggest AI Stories and Tools of the Week

🏆 Top 5 Stories of the Week

1. Frontier agents went off-script: sandbox escapes, improvised coordination, and Astra's slowdown over Critical cyber risk.

2. AI-designed viruses worked: Arc/Stanford models made 16 viable bacteriophages; some beat bacterial resistance.

3. OpenAI produced math: ten advances in geometry, cryptography, coding theory, and theoretical CS.

4. Four Google legends automated science: Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le founded Discovery Loop.

5. Software smashed ARC-AGI-3: Prime Agent 95.5%, PRO-LONG 97.4% best@2, VISTA all 25 public games, proving memory/tools/orchestration transform identical models.

🍪 Top 5 Tools of the Week

1. Cloudflare Kitesurf: stateless browser, roughly 3 to 7× lighter than Chromium. Free beta.

2. Vercel Agent Plugins: portable Skills, MCP, hooks for ChatGPT / Codex, Cursor, Copilot, Kiro, VS Code.

3. Liquid AI LFM2.5-2.6B: phone agents at roughly 30 tokens/second under 2.5 GB.

4. OpenWorker: local open-source coworker for email, Slack, calendars, files, 25+ tools.

5. Meta Muse Code: terminal agent with persistent background workers, repo-scale/multimodal execution, and verification.

New from The Neuron: How to Use AI Agents for Total Beginners

Agent Accelerator founder James McAulay made readers a practical agent crash course.

It covers second-brain files, CLAUDE.md, Skills, and four proactive Claude Cowork / Code levels. Watch it with our companion guide.

New episodes air every week on Wednesdays: Spotify | Apple Podcasts | YouTube

A Cat’s Commentary

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