Every write-up of Karpathy’s four tier funnel repeats his four counts and none of them re-divides them. Against the population that could plausibly use a model, the bottom tier is not 75 per cent of the world, it is 99 per cent of everyone still standing.
The refusal was more useful than the analysis would have been. Inside REA: how an evidence id is computed so two machines agree, why a zero can mean the question was never asked, and the 3 MB file that exhausted Node’s default heap.
iOS system libraries ship inside one dyld shared cache instead of on disk, and a fat Mach-O will happily hand you the wrong architecture without an error. Here is the static workflow that reads headers, metadata, and topology before you open a decompiler.
Removing refusal behavior from an open model is technically easy. The hard part is proving what changed, containing the new failure modes, and keeping an agent with tools inside a safe boundary.
We cannot time the universe with a stopwatch. Here is how astrophysicists measure the 13.8-billion-year age of the cosmos using the Cosmic Microwave Background, atomic recombination, and three independent clocks.
We will all soon have AI companions integrated into daily life, but passive users risk severe cognitive atrophy. By grounding our workflow in metacognition, the extended mind, and dynamic scaffolding, meta-humans turn personal AI into a high-leverage learning engine.
When generative AI commoditizes syntax into zero-cost token emissions, the developer’s moat shifts from typing code to systems synthesis: understanding how a single concurrent change ripples across database row locks, cache lines, and cloud bills.
Four decades of micro-op convergence absorbed the classic textbook differences between RISC and CISC, but the instruction set still bills you in three places you cannot optimize away: memory ordering contracts, frontend silicon budgets, and ecosystem sovereignty.
A step-by-step deconstruction of Alan Turing’s 1936 paper: how formalizing the mechanical computer and adapting Cantor’s diagonal argument proved that algorithmic omniscience is mathematically impossible.
Setting hard CPU limits on latency-sensitive microservices destroys p99 response times while average utilization appears deceptively low. Here is how Linux CFS quotas, Go GOMAXPROCS, and GOMEMLIMIT actually behave under load.
More posts, now spanning the full workspace.