The Bank of Korea reports that AI saves workers only about one hour per week and finds zero correlation with increased output, challenging the productivity narrative pushed by US tech giants.
Alibaba’s new 35B MoE model (3B active) can simulate seven different agent environments, MCP, terminal, web, Android, and more, without running the real tools.
Baidu’s new MIT-licensed 3.3B model parses entire books in one shot with a constant memory footprint, demolishing the page-by-page for-loop paradigm. Here’s the architectural magic that makes it work.
Deep dive into the R-SWA attention mechanism behind Unlimited OCR, which makes KV cache growth a non-issue and enables one-shot parsing of entire books.
Analysis of whether event-driven architecture is being overused similarly to microservices a decade ago, discussing genuine justifications versus unnecessary complexity.
A Chinese hacker team spent a year decoding 2,963 pinouts to build a custom V100 PCB with full NVLink. It costs $220. Here’s how they did it and why it matters.
Tracking DDR5 across four EU countries reveals a 28% price drop in under a month. Germany is 20% cheaper than the Netherlands. Here’s what it means for local LLM builders.
Google’s 50% IPv6 milestone reveals a global internet running dual-stack chaos, NAT hell, and architectural schizophrenia. Here’s what it really means.
A real-world comparison of open-source DLT and managed Fivetran when your team lives in SQL, not Python. Includes costs, AI-assisted coding as a band-aid, and whether dlt is ready to kill Prefect.
We dig into the C4 model’s real-world adoption, its legitimate strengths for untangling enterprise architecture, and why some devs absolutely hate it. Based on Simon Brown’s new book and the actual backlash.
Leaked audited financials reveal OpenAI lost $38.5 billion in 2025. With open-source models eating market share and costs spiraling, the path to profitability looks increasingly like a mirage.
GLM-5.2 tops the creative writing leaderboard, is free on Hugging Face, and Unsloth’s 2-bit quant puts this 753B beast on a 256GB Mac. This is the local AI breakthrough you’ve been waiting for.
