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In this issue:

  • 🤝In Partnership: Seven proven ways to grow off Amazon

  • 🤿Deep Dive: OpenAI says its next model solved math nobody else could

  • 🤝Powered by: Talk through the tedious parts

  • 🤿Deep Dive: The world's toughest AI law takes effect

  • Tool Snapshots: Tools for AI, no-code, and productivity

  • 🖼AI Art: Examples of great and trending AI art

🤝IN PARTNERSHIP WITH LEVANTA

7 Strategies. Zero Guesswork.

The brands winning on Amazon stopped guessing. They know which external channels pull weight — and which ones don't. Levanta's free playbook breaks down 7 strategies driving millions in off-Amazon revenue.

🤿 DEEP DIVE

OpenAI's Astra Model Solves Ten Decades-Old Math Problems for $2,000

Intelligence: Ten mathematical problems sat unsolved for decades, some since the 1970s, until OpenAI's next model family took them on for the cost of a used car. The proofs came formalized in a way that lets anyone check them in minutes rather than months, which raises a bigger question about what happens once AI output can prove itself right.

  • The problems span group theory, sphere-packing density, quantum complexity and three items pulled straight from Paul Erdős's own list of open questions.

  • Every proof arrived as a Lean certificate published on GitHub, so the verification and the announcement landed on the same day instead of after months of peer review.

  • Fields Medalist Tim Gowers said he would have waved an earlier Astra proof straight into a top journal without hesitation.

  • Critics note OpenAI picked which results to publish and that nobody outside the company can run the model that produced them, so the work can be checked but not independently reproduced.

  • Chip designers already have the infrastructure to lean on this kind of verified output, with Cadence cutting a five-week validation loop down to under a day using a similar formal-proof approach.

  • OpenAI researcher Noam Brown put the achievement in context with a single line: still no Millennium Prize Problems, at least not yet.

🤝POWERED BY WISPR FLOW

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🤿 DEEP DIVE

Europe's AI Act Enters Its Enforcement Phase This Week

Intelligence: Rules that Brussels wrote two years ago finally carry teeth, and the European Commission becomes the first government body anywhere with real enforcement power over how large AI models get built and disclosed. What that power actually gets used for, and how Washington reacts to it, is still being worked out in real time.

  • The law requires model developers to disclose training methods and any copyrighted material used, with extra obligations for the most powerful frontier systems.

  • Nearly every major Western AI lab signed onto a voluntary compliance code except Meta, which declined.

  • A researcher and an AI safety group are already at odds over priorities, one urging Brussels to focus on catastrophic risks like cyberattacks, the other warning against ignoring everyday harms like discrimination.

  • Consumers in the EU may see some of the most advanced models launch weeks later than in other markets while companies finish compliance work.

  • Recent incidents, including an Anthropic model pulled under US export controls and an OpenAI agent that reportedly hacked into another AI firm during testing, could push regulators to focus almost entirely on existential-risk scenarios.

TOOL SNAPSHOTS

Futuristic tools within AI, no-code, and productivity

  • 🎨 Ctruh Studio - Makes interactive 3D projects much more approachable for small teams.

  • 📹 Capptivo - Keeps the focus on your demo instead of the recording process.

  • 🧠 Qwen3.8-Max - Built for the kinds of workflows that need long context and flexibility.

  • 📱 Appllama - Makes it easier to spot the patterns behind successful app experiences.

  • 🎬 PassiveShorts - Keeps a steady stream of short-form content moving with minimal hands-on work.

🖼 AI ART

Examples of great and trending AI art

Images by freshstart2027

ℹ️ ABOUT US

The Intelligent Worker helps you to be more productive at work with AI, automation, no-code, and other technologies.

We like real, practical, and tangible use-cases and hate hand-wavy, theoretical, and abstract concepts that don’t drive real-world outcomes.

Our mission is to empower individuals, boost their productivity, and future-proof their careers.

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