Laszlo Szabo is an AI technology analyst with 6+ years covering artificial intelligence developments. Specializing in large language models, ML benchmarking, and Artificial Intelligence industry analysis
The Kolibri language model offers a sparse MoE design that runs on a single GPU, meeting German data‑sovereignty rules while rivaling IBM and Anthropic.
Project Suncatcher shows how space-based AI compute can harness solar power and terabit optical links to train massive models beyond Earth’s energy limits.
The Anthropic IPO prospectus shows a $42 billion loss, $518 billion spend plan and a $2 trillion valuation target, highlighting Nasdaq timing and Claude’s role.
We break down Claude Sonnet 5.5 performance, highlighting its 30% speed boost, 25% cost cut, benchmark scores, and how developers are applying it today.
AISI’s study shows a 29.2% success rate for GPT-6 Astra supply-chain attacks in simulated CI/CD pipelines, exposing serious risks even with scope limits.
Naive-N0.5-Flash sparse attention lets a 309B model handle a full 1‑million‑token context, boosting code‑base reasoning and AI research without chunking.