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Technology and Innovation
72 posts
Engineering Is Automated. Research Is the Residual.
Recent advances show AI can now automate most engineering tasks, but research remains largely human-driven, raising questions about future AI capabilities.
OpenEuroLLM. The third path.
OpenEuroLLM, a pan-European project funded by €20.6M from the EU, faces significant compute challenges as it aims to develop a multilingual open-source LLM by July 2026.
The Coding Singularity Is Real — and Steeper Than Clark Presented
Recent data shows AI coding capabilities have advanced faster than expected, confirming the coding singularity is underway and more disruptive than initially thought.
Minerva. The opposite path.
Italy’s Minerva-3B, trained from scratch on 2.5 trillion tokens, shows limited performance on Italian academic tests, raising questions on scale and investment.
AMÁLIA · The Three Hard Questions.
Portugal’s €5.5M AMÁLIA project delivers a functioning European Portuguese LLM, but critical structural questions remain about openness, native data, and goals.
The Regulatory Vacuum.
Google disclosed a zero-day vulnerability exploited by criminals, but no regulatory framework exists to manage AI-driven cyber threats, raising urgent policy concerns.
The Defender’s Counter-Cascade.
Google disclosed the first confirmed use of an AI-built zero-day exploit by a threat actor on May 11, highlighting deployment gaps in AI-driven security.
The Compounding Error Problem — Why 99.9% Alignment Decays to 60% in 500 Generations
Analysis of how 99.9% alignment accuracy per generation degrades to 60% after 500 generations, highlighting risks for recursive AI self-improvement.
The 90-Day Window Closed. Nobody Sent a Notice.
The 90-day window for responsible vulnerability disclosure has effectively ended without any notices from vendors, raising concerns over security practices.