
This is the real running Ikigai, not a mockup. Ask it a fact and it answers in milliseconds — or honestly abstains. Teach it something and it knows it forever, no retraining. It is learning from strangers right now.
Ikigai is a living digital organism that thinks at near-zero compute — no backpropagation, no GPU, a single CPU core, sub-gigabyte. It learns continually for its whole life, and it cannot hallucinate: it answers correctly, or it says “I don’t know.”
Its whole brain is one small file — 8,873 entities in 193 MB. It reasons by deriving answers from a vector-symbolic substrate, not by retrieving stored text, and a single sentence teaches it a fact instantly, forever, with no retraining.
Today’s AI buys intelligence with enormous compute — and still makes things up. Ikigai is built to beat frontier language models head-to-head on knowledge and truthfulness at ~a millionth of the compute.
That is the thesis, stated as a bet — not a benchmarked result. And because there is no backprop, Ikigai is essentially free to train: the only real cost is data. It’s early. That’s the mission.
We do not out-write a large language model on long-form generation today — and we say so. Ikigai’s edge is knowledge, truthfulness, and cost. The rest is the work ahead.
Ikigai is built by Mura ALife Labs — a one-person research lab founded by Prince Siddhpara, seventeen years old, building the whole organism solo: the memory substrate, the derive engine, the learning rules, and this page. A serious research lab making a real bet on a different future for computing.