Between the Base64 observation and Goliath, I had a hypothesis: Transformers have a genuine functional anatomy. Early layers translate input into abstract representations. Late layers translate back out. And the middle layers, the reasoning cortex, operate in a universal internal language that’s robust to architectural rearrangement. The fact that the layer block size for Goliath 120B was 16-layer block made me suspect the input and output ‘processing units’ sized were smaller that 16 layers. I guessed that Alpindale had tried smaller overlaps, and they just didn’t work.
After a bit of trial and error, I found that a fourth-order Taylor series was the most performant on my hardware. It was measurably faster (by +5%), so I kept it and moved onto the next optimization.
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Meta retained 40+ lobbying firms and 87 federal lobbyists in 2025 (85% with prior government service). Meta's own LD-2 filings with the Senate explicitly list H.R. 3149/S. 1586, the App Store Accountability Act, as a lobbied bill. The filing narrative includes "protecting children, bullying prevention and online safety; youth safety and federal parental approval; youth restrictions on social media."
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