Browse editorial essays, hands-on tutorials, and analysis across models, agents, media, industry, and compute policy.
I read SJTU's study on LLM contradiction detection. It targets prompt integrity, a niche ops concern for now. This work falls outside our Batch 3 foresight timeline (Jan 2025–May 2026), so it won't impact immediate deployment strategies.
I analyze why China's top AI firms pivot to CPUs, revealing how supply chain realities and cost efficiency drive this strategic hardware shift.
I read the Kimi paper revealing an inference architecture that handles 80% of traffic. It’s a pragmatic approach to scaling AI workloads efficiently.
I track how StepFun’s rapid valuation surge is reshaping Asia-Pacific AI dynamics, signaling intense competition within the emerging 'Big Six' tier of regional tech giants.
Jensen Huang envisions a robot world at CVPR 2024, yet it still relies on AI data for training. This forward-looking topic falls outside the main timeline.
I read about a domestic gen-AI model matching AlphaFold3 for antibody design. My read: Domestic capability is closing the gap.
I read that the Yao Class team just surpassed Devin's benchmark for large model programming. This timing suggests a significant shift in autonomous coding capabilities ahead of the 2025-2026 cycle.