The most important equation in Machine Learning: θ_{t+1} = θ_t - η ∇L(θ_t) • θ — theta, represents all the learnable parameters • η — eta, that’s the learning rate • ∇ — nabla, the gradient symbol • L — L, the loss function
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The most important equation in Machine Learning: θ_{t+1} = θ_t - η ∇L(θ_t) • θ — theta, represents all the learnable parameters • η — eta, that’s the learning rate • ∇ — nabla, the gradient symbol • L — L, the loss function
A note to the Average social media user… TikTok is a black box. The algorithms determining who sees what are not publicly transparent. The source code is not open source. That means users have no real visibility into how content is selected, prioritized, or suppressed. It’s entirely possible that the algorithm leverages vast amounts of behavioral and device-level data to shape what each user sees. Over time, this can construct highly personalized narratives — realities tailored to the individual. As a result, two people on the same platform can inhabit completely different worlds, shaped by the content fed to them. Same app. Different reality.
“Information is eating the other sciences.” - Rizwan Virk (MIT computer scientist)
The majority have been pushed through a system that weakens critical thinking, rewards conformity, and leaves people intellectually dependent on authority. Once independent thought is underdeveloped, the mind becomes malleable — vulnerable to whatever propaganda is repeated often enough. Communism 101.
“Do unto others and be done unto by them only by mutual agreement, keeping in mind how it will affect others” - The Bitcoin Rule.