Miguel Lannes Fernandes, AI director at EXAME, explores artificial intelligence as a “river of bits and bytes” – both source of life and danger – emphasizing the importance of critical thinking and how to use AI to become more human, not less.
MIT economist and Nobel Prize winner Daron Acemoglu challenges AI hype with concrete data: only 5% of tasks will be automated and 1% contribution to global GDP this decade, advocating for a strategic approach focused on innovation.
Authors of “The AI Con” discuss how to resist exaggerated artificial intelligence hype, revealing data on limited ROI and practical strategies for questioning technological inevitability narratives.
Microsoft has revolutionized C# development with the introduction of dotnet run app.cs in .NET 10 Preview 4, allowing developers to execute C# files directly without creating project structures. This game-changing feature makes C# as accessible as Python or JavaScript for scripting, learning, and rapid prototyping while maintaining full compatibility with the .NET ecosystem.
Stephen Toups and David Fowler from Microsoft’s .NET team share how they use AI tools like GitHub Copilot and ChatGPT in their daily work. They emphasize that AI isn’t replacing developers but making them more productive across ideation, coding, testing, and debugging. Key examples include solving a 10-year-old Kestrel memory issue, enhancing the .NET regex engine, and automating documentation tasks.
With AI rapidly transforming the job market, Microsoft co-founder Bill Gates has identified three professions that will survive automation: health biosciences, alternative energy, and AI development itself. “The creativity necessary in biological research cannot be replicated by machines,” Gates stated, emphasizing that human intuition and innovation remain irreplaceable in these complex fields that require ethical judgment and unexpected problem-solving.
RAD (Rapid Application Development) is an agile methodology that focuses on speed and flexibility. Instead of spending months developing, you create functional prototypes in short cycles, test with users, and adjust along the way. It’s like building a puzzle piece by piece, but each piece already works! Perfect for smaller projects where you need quick results.