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Three stories dominate today's tech landscape, each revealing how complexity can create unexpected problems.

First, Maciej Mensfeld tracked down an almost-impossible bug in Ruby's FFI library where Hash objects were mysteriously becoming String objects. The culprit was missing write barriers in the Foreign Function Interface—without them, Ruby's garbage collector would free internal Hash objects, and Ruby would allocate Strings at those same memory addresses. The C code still had pointers, thinking they pointed to Hashes, but now they pointed to completely different objects. The fix was elegantly simple: a single macro call to register C-held references with the garbage collector.

The team behind Material for MkDocs announced Zensical, a complete ground-up rewrite of their documentation stack. After hitting insurmountable architectural limitations in the now-unmaintained MkDocs, they built an entirely new system featuring ZRX. This differential build engine delivers 5x faster rebuilds, and Disco, a custom client-side search engine. The entire stack is MIT licensed and maintains compatibility with existing mkdocs.yml files.

But the most surreal story is about Mark S. Zuckerberg, an Indiana bankruptcy attorney whose life has become a case study in automation at scale, creating edge cases. Facebook has disabled his personal account five times and his business account four times because its algorithms assume he's impersonating the Meta CEO. He receives over 100 friend requests daily, gets packages with Facebook complaints, receives death threats meant for the billionaire, and was even sued by Washington state due to mistaken identity. Despite providing his birth certificate, driver's license, and credit card to prove his identity, the system still disables his accounts.

In other news, Meta announced a $600 billion investment in US AI infrastructure over the next three years, while industry executives and analysts raise concerns about a potential AI bubble. Nvidia reports strong demand for its Blackwell AI chips, and OpenAI CEO Sam Altman is pushing for expanded Chips Act tax credits amid AI companies' massive capital requirements.


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