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- GPT-5 becomes first AI to solve full 9x9 puzzles.
GPT-5 becomes first AI to solve full 9x9 puzzles.
Plus: OpenAI goes health.

Welcome Humans🤖,
Here is what we have Today:
🧠 GPT-5 finally cracks... Sudoku 9x9 grid after years of existential crisis.
🦟 AI drones hunt bugs mid-flight.
💪 McKinsey: Everyone has AI, nobody uses it right.
🏥 GPT-5 targets healthcare with physician-backed benchmarks.
💼 New Job Opportunities
GPT-5
🧠 GPT-5 Solves the Ultimate Puzzle!
It finally happened:
GPT-5 just became the first AI ever to solve a full 9×9 Sudoku puzzle, acing Sakana AI’s Sudoku-Bench — a new test built to push AI’s limits in reasoning, logic, and creativity.

Image source: Sakana
🔍 What’s Sudoku-Bench?
🧮 Launched in May 2025 by Sakana AI
🧩 Tests LLMs on classic and wild Sudoku variants
🧠 Combines multiple rule sets, demanding long, step-by-step reasoning
🎯 Built to measure true cognitive depth, not just pattern matching
🏆 The GPT-5 Breakthrough
✅ First model ever to fully solve a 9×9 Sudoku grid
🚀 Hit a 33% solve rate, nearly double the previous record
🤖 Demonstrated superior spatial and logical reasoning over GPT-4 and other leading models
🧩 Still, 67% remain unsolved — where creativity and human-like intuition still win
💡 Why It Matters
GPT-5’s win isn’t just a party trick — it’s a glimpse into structured, human-like reasoning.
But here’s the catch: AI still struggles with meta-reasoning — the ability to learn new rules or make intuitive “break-ins” like humans do.
To truly think like us, AI must blend:
🧮 Mathematical logic
🧠 Spatial awareness
🎨 Creative insight
That’s the next frontier of intelligence.
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AI Research
🧠 McKinsey’s 2025 AI Reality Check
Everyone’s using AI — but not everyone’s winning.
McKinsey’s State of AI 2025 survey of nearly 2,000 organizations reveals a clear gap between AI hype and AI impact.

Image Source: McKinsey
📊 The Big Picture
💼 88% of companies now use AI somewhere in their operations.
🧪 But most are still experimenting — only 33% have scaled AI beyond pilots.
💸 39% report some EBIT impact, yet just 6% see gains above 5%.
🤖 The Agent Era (Still in Beta)
🧠 62% are working with AI agents — think copilots, chatbots, and automation tools.
⚙️ Adoption is early: 39% are experimenting, 23% scaling.
💻 Most use cases sit in IT and knowledge management, not yet across the enterprise.
👥 The Workforce Shift
📉 32% of companies expect workforce reductions (3%+ next year).
📈 13% anticipate workforce growth — mostly those using AI to innovate rather than replace.
🏢 Larger firms are more likely to predict job cuts as automation scales.
💡 Why It Matters
McKinsey’s key takeaway?
AI’s real value isn’t in faster processes — it’s in reimagining workflows, scaling innovation, and creating new growth engines.
Those who treat AI as a transformation strategy — not a tech experiment — are already pulling ahead. 🚀
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Trending Today
OpenAI is reportedly considering an expansion into consumer health apps, such as an AI-powered personal health assistant. The groundwork's already laid: OpenAI launched HealthBench in May (a benchmark developed with 262 physicians to evaluate AI health capabilities), made strategic hires, and noted "more useful health answers" as a key feature in GPT-5.
Tornyol, is building an AI-powered micro-drone that hunts and kills mosquitoes. Using smartphone microphones, car-parking sonar sensors, and custom DSP algorithms, their prototype tracks a mosquito by sound and rams into it mid-air. The goal: cut the cost of mosquito control by 100× and make it cheap enough to deploy at scale.
The European Commission is considering delaying key parts of its landmark AI law, weighing a one-year grace period for companies that breach rules on high-risk AI and is considering delaying fines for transparency violations until August 2027. The potential changes follow intense pressure from the Trump administration, a public letter from 46 European companies including Airbus and Mercedes-Benz, and separate criticism from tech giants like Meta.
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