“Engineering schedules often slip even with predictable techn…”

Engineering schedules often slip even with predictable technologies, and the non-deterministic nature of LLMs makes their future inherently unpredictable.

Gruber's Apple Intelligence post-mortem: Cupertino shipped a Siri demo it couldn't deliver. The hard AI bet isn't capability, it's reliability.

Daring Fireball (John Gruber, 2025)· 2026

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Losing in the Attention Economy

Ben Thompson on why thin clients are winning in an AI world, and what the collapse of thick client economics means for hardware, software, and the future of personal computing.

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Lil'Log (Lilian Weng)

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Former OpenAI researcher Lilian Weng's long-form blog on frontier AI topics — adversarial attacks, agent foundations, and the technical building blocks of modern LLM systems.

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Engineering productivity in large mobile apps remains a hard problem with few easy solutions.

Mobile dev productivity is software's unluckiest area — huge repos, big teams, no off-the-shelf fix. The answer: a platform team, not a faster compiler.

The Pragmatic Engineer

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