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Today's topics:
-Models that learn at inference
-AI engineering living textbook stack
-KV-cache sharing for serving
-HBM memory bottlenecks and roadmaps
-Financial LLM cognitive evaluation
-Why AI SRE copilots fail
-Entry-level jobs and AI agents
-Apple’s delayed AI strategy
-Humanoid robots: China vs Tesla
-Army creates AI officer track
-California AI liability law AB316
-Local-first software ownership manifesto
-AI timelines model shifts later
-Growth and marketing with AI
-https://github.com/harvard-edge/cs249r_book
-https://spectrum.ieee.org/ai-effect-entry-level-jobs
-https://github.com/test-time-training/e2e
-https://arxiv.org/abs/2508.13491
-https://ahrefs.com/blog/ai-marketing-examples/
-https://techcrunch.com/2025/12/31/investors-predict-ai-is-coming-for-labor-in-2026/
-https://threadreaderapp.com/thread/2002127824174657579.html
-https://clickhouse.com/blog/ai-sre-observability-architecture
-https://www.theregister.com/2025/12/31/us_army_seeking_officers_willing/
-https://securityonline.info/the-130-billion-comeback-why-apples-slow-ai-strategy-is-a-2026-trap/
-https://techcrunch.com/2025/12/31/investors-predict-ai-is-coming-for-labor-in-2026/
-https://blog.ai-futures.org/p/ai-futures-model-dec-2025-update
-https://www.localghost.ai/manifesto
-https://github.com/LMCache/LMCache
-https://x.com/benitoz/status/2005349615823183897
-https://www.cnbc.com/2025/12/30/elon-musk-wants-robots-everywhere-china-is-making-that-a-reality.html
-https://shub.club/writings/2026/january/ab316/
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