- You do
- From the Dashboard open «Understanding» — in Simplified mode it sits behind «⋯ › More options ›», from Intermediate it is in view — on the Android App and in the WebApp alike. The first level of links asks for nothing and is there from the first log you file with MemoKen: where the log went, and where the app had proposed putting it. For the second — entities and relations — you download from Settings → «Knowledge graph» a model that runs on the device, phone or browser. One section, and what you choose there is a depth, not a model: two cards with a dot, «Entities» and «Entities and relations», each saying in one line what it puts on the map and what it costs. Inside each card a single model is in view — the one in use, or the one recommended for your device, with its weight on the button — and the other sizes sit under «Other models». Under «Entities» there are four sizes — 201, 331, 379 or 647 MB; under «Entities and relations» two entries, and neither is a bigger size: 325 MB and, since 0.1.74, 411 MB, and they also find the relations between entities — that is, the lines of the cloud themselves. Whichever you pick, a single model is marked active, and the map reads that one. The first declares twenty-two languages, the second six — Italian, English, Spanish, French, German, Portuguese — and stops there. The second level also asks that the memory precision not be «by name»: at that level the map does not show what a model found, and says so. Relations are viewed in the «Relations» map of the same screen, and there are three views: 2D, 2.5D (the default) and 3D. In the WebApp the same six models run in the browser, from the same Settings: the browser files weigh a little more — 202, 332, 382, 650, 371 and 456 MB — and a model downloaded on one side is not shared with the other.
- You get
- A cloud where position says nothing — the dots sit where they settled — and it is the lines that speak: where you filed a log, where the app had suggested you file it, which block names which thing. These links are extracted, not guessed. With the model, every thing found — people, places, dates — becomes a dot that every block naming it attaches to; the 379 MB size is trained on Italian, English, Spanish, French and German, the other three declare twenty-two — Japanese, Korean, Bengali and Russian stay out of all four, and there it finds less. The four sizes find the things, not the relations between the things: people, places, dates. The relations — “lives in”, “owns” — are found by the two entries after the sizes, 325 MB and 411 MB, which are not bigger sizes but another capability: from there on a line can come from what a memory says, and not only from where you filed it. The 325 MB one is also the only one that declares Japanese, Korean, Bengali and Russian, but it has them from the engine it is built on, not from training on relations: how much it really finds there, nobody has measured. The 411 MB one, another engine of the same family, declares six languages — Italian, English, Spanish, French, German, Portuguese — and stops there. Both look at a 64-word window at a time: two things far apart in the same block can escape them. The third level is questions from the app, dashed lines you switch on yourself: they are not facts about you and they are not saved anywhere. None of this leaves the phone, or the browser.