There's a difference between:
"I know how to code"
and
"I know how to build software."
The second one requires product thinking, architecture, testing, deployment, monitoring and understanding users.
I think one of Africa's biggest technology opportunities isn't creating another social network.
It's digitizing the boring industries.
Agriculture.
Logistics.
Construction.
Healthcare.
Education.
Manufacturing.
Boring problems can build huge companies.
Some newer efficient LLMs (using "hybrid Transformer") are cutting back on expensive attention layer of standard Transformer, and this paper shows what happens internally around the attention layers that remain.
A "hybrid Transformer" simply means a model that replaces many standard attention layers with cheaper recurrent-style layers but keeps a few full-attention layers.
That shortcut saves compute.
But this paper finds that the occasional expensive layers may have a much bigger effect on the model than their small number suggests.
Across Qwen3.5, Kimi Linear, Nemotron-H, and Zamba2, the model repeatedly produced unusually huge internal numbers immediately before those expensive look-back layers.
Move 1 of those layers, and the huge values move with it.
Use more of them, and those extreme values start staying high across larger parts of the network.
– arxiv. org/abs/2608.12149
Title: "Massive Activations in Hybrid Linear Attention LLMs: Pre-Attention Spikes and Inter-Spike Plateaus"