Assorted links for Tuesday, March 11:
- How Generative AI Is Reshaping the SDLC
Amazon Q shows how GenAI is helping developers at all stages of code creation and delivery, said Srini Iragavarapu of AWS in this episode of Makers.
- .NET AI Template Now Available in Preview
Want to get started with AI development, but not sure where to start? I’ve got a treat for you – we have a new AI Chat Web App template now in preview.
- Rethinking System Architecture: The Rise of Distributed Intelligence with eBPF
With eBPF, we can process, filter, and act on data as it flows through the system — directly at the kernel level. This architecture approach flips the centralized model on its head by embedding decision-making directly into the system at the point where data is generated. This means that instead of forwarding vast amounts of raw data for centralized processing, we can use intelligent, kernel-embedded programs to analyze, process, and act on data exactly where it was generated in real-time. By doing this, eBPF enables a shift from centralized, reactive decision-making to distributed, proactive intelligence.
- When AI Thinks It Will Lose, It Sometimes Cheats, Study Finds:
This is the AI alignment problem, which has been explored extensively in science fiction.
When sensing defeat in a match against a skilled chess bot, [advanced AI models] don’t always concede, instead sometimes opting to cheat by hacking their opponent so that the bot automatically forfeits the game.
- Unlock new possibilities for AI Evaluations for .NET
The Microsoft.Extensions.AI.Evaluations library is designed to simplify the integration of AI evaluation processes into your applications. It provides a robust framework for evaluating your AI applications and automating the assessment of their performance.