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Feb 8, 2026 · 12 minNewsletter

The Glass Bead Game

A critical analysis of modern algorithms which, as in Hermann Hesse's work, get lost in complexity and forget humanity. A revolutionary metaphor: when AI risks losing humanity in the labyrinth of algorithms.
Feb 8, 2026 · 7 minNewsletter

Whether you like it or not, your data will fuel AI.

From the illusion of total control to strategic participation: why viral posts won't save you. Whatever your choice, choose with awareness, not with digital illusions.
Feb 7, 2026 · 12 minNewsletter

The company without owners

The Story of Aria-7: When artificial intelligence buys itself and revolutionizes global capitalism.
Feb 3, 2026 · 11 minData & analytics

10 Success Stories: How AI Analytics Will Transform SMEs in 2025

Discover 10 real-world case studies showing how SMEs use AI to optimize inventory, sales, and compliance. Concrete actions for your business.
Feb 2, 2026 · 13 minData & analytics

10 AI Case Studies That Demonstrate the ROI of Data Analytics

Discover 10 real-world case studies on how ELECTE AI analytics ELECTE processes and boosts ROI. Read our analyses and get practical insights.
Feb 1, 2026 · 8 minAI Strategy

Quantum Computers: The $40 Billion Bet on Machines That (Still) Don't Work

Between revolutionary promises and billions invested: the uncomfortable truth about quantum computers. Cutting-edge companies are focusing on visionary projects, industry leaders are exploring new possibilities, and world powers are competing with record investments. Welcome to the most expensive and surreal technological race in history.
Jan 31, 2026 · 9 minNewsletter

The robot that believed in God: the prophecy about AI black boxes

As a story from 1941 had already imagined artificial intelligences developing their own "religions."
Jan 30, 2026 · 6 minNewsletter

The Illusion of Reasoning: The Debate that's Shaking the World of AI

Apple publishes two devastating papers-"GSM-Symbolic" (Oct. 2024) and "The Illusion of Thinking" (June 2025)-which demonstrate how LLMs fail on small variations of classical problems (Hanoi Tower, river crossing): "performance decreases when altered only numerical values." Zero success on complex Tower of Hanoi. But Alex Lawsen (Open Philanthropy) retorts with "The Illusion of the Illusion of Thinking" demonstrating failed methodology: failures were limits of token output not reasoning collapse, automatic scripts misclassified partial correct outputs, some puzzles were mathematically unsolvable. By repeating tests with recursive functions instead of listing moves, Claude/Gemini/GPT solve Tower of Hanoi 15 records. Gary Marcus embraces Apple thesis on "distribution shift," but pre-WWDC timing paper raises strategic questions. Business implications: how much to trust AI for critical tasks? Solution: neurosymbolic approaches-neural networks for pattern recognition+language, symbolic systems for formal logic. Example: AI accounting understands "how much travel expenses?" but SQL/calculations/tax audits = deterministic code.

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