Browse editorial essays, hands-on tutorials, and analysis across models, agents, media, industry, and compute policy.
I explain loop engineering—the shift from hand-prompting coding agents to designing systems that prompt, verify, and iterate on their own—with a step-by-step tutorial, maturity ladder, and honest limits.
Tsinghua & BAAI's Brainμ model hits Science, mapping memory-sleep links. I see academic rigor, but commercial viability remains unproven.
China launches a full-stack embodied AI sim using domestic GPUs, advancing the 2025-2026 agenda. Ops take: Local silicon cuts latency but risks supply chain fragility.
I analyze Qwen3.6-27B vs 35B-A3B specs to guide open-source adoption. I think benchmarking methodology remains opaque.
Tashi Zhixang unveiled AWE3.0, a non-simulated, non-VLA embodied model. I read the filing; it claims general-purpose capability without teleoperation or simulation tricks.
OpenAI raises $110B at $730B valuation from Nvidia, Amazon, SoftBank. I read the filings; unit economics matter more than hype.
I see how OpenAI's $110B deal traps creators in a chip-compute loop, prioritizing infrastructure over fair licensing and provenance rights.
I read SenseTime's open-source SenseNova-MARS release, a key multimodal search and reasoning model for the 2025-2026 industry timeline.
Musk opens X's algo, calls it 'terrible' but promises updates. I note this transparency is rare for Musk, signaling a shift in how social platforms handle their core AI engines.
GPT-5.2 Pro independently proved a 45-year number theory conjecture, with Terence Tao confirming no errors found.