SWE-rebench results reveal Claude’s decisive 55.1% pass@5 advantage and unique bug-fixing capabilities that left OpenAI’s flagship coding model behind
Using Probability x Impact math to call out over-engineering excuses and justify architectural complexity
The arc42 team’s alternative quality model challenges decades of software quality dogma with 8 pragmatic attributes that might actually get used.
Exploring the conflict between what users say they want and what data shows they actually need.
The eternal database battle, seen through a librarian’s weary eyes, how to choose between clean data and fast queries
Alibaba’s Qwen3-VL 4B/8B models deliver enterprise-grade vision-language AI that runs locally on consumer hardware via GGUF, MLX, and NexaML.
Strategies for surviving DNS outages when everything breaks.
REAP pruning outperforms merging in MoE models, enabling near-lossless compression of 480B giants to local hardware
Microsoft’s UserLM-8b flips the script by training AI to think like messy, inconsistent humans instead of perfect assistants.
Tracing the historical pattern of wealth-creating industries from oil to AI, and speculating on what comes next when the bubble bursts.
Meta’s new 1B foundational model outperforms Gemma and Llama benchmarks while fitting in your pocket. But is distilled intelligence the future?
Leaked documents reveal Amazon’s systematic plan to eliminate human labor through robotics, while carefully managing the public relations fallout.
