General-purpose conversational assistants by design use voice
recognition technology to isolate “key terms” to mine sources for useful results…

Here’s the problem:

Imagine any sentence of about 8-10 words…

i.e. “I really appreciate my mother in the morning”

What would happen if we replace each word with – let’s say –
ten equivalent words that fit both grammatically and semantically?

i.e. “I definitely/positively/demonstratively…” “like/admire/love my mother…”

Taking the original phrase and randomly inserting the
replacement words in all possible groupings that still make sense, we get
100 million phrases that are ALL grammatically intact and semantically equivalent
– and we are still only saying that we feel positive about our mother some time early in the day!

…Even the smallest body of text of even minimum complexity has trillions upon trillions of equivalent
semantic permutations. In terms of conversational assistants – and without a Gatfol functionality-
we just do not have the backend concept-combination multiplication power
to even begin to cover the permutation problem…

Five years ago…

 …Apple’s SIRI was not a reality…
…Augmented reality was in theoretical infancy…
…Semantic replacement technology was not on the radar…
…Apple was not promoting wearable computing devices with natural language interfaces…

Today…

…the world is starting to realise that we have to merge the immense richness
and depth of human everyday language with the limited actionable
instructions of software programs and databases if we want
to rely on digital machines to guide our lives…

Five years from now…

…SIRI equivalents and augmented reality will be everywhere…

 …many commercial suppliers of semantic language phrase replacement technology will exist…

…Gatfol is already the first…