Most people expect genome sequencing to hand them something like a book written in plain English: something you can read, understand and act on. The reality is different: sequencing gives you a book written in a language we've only partly deciphered. Some passages we can read, and we know what they mean. Others we know matter, but only in combination with passages we haven't found yet. And most of it we don’t yet understand at all. This leads some to conclude that the genome offers little/no value. But that view limits itself. If we approached every scientific frontier that way, we'd never discover anything. The right response to what we don't understand isn't dismissal, it's curiosity, and we are just still so very early in understanding the human genome. This is what excites me most - how early we are - and how today’s (and tomorrow’s) technologies can help us understand more of the book. The pieces are all already here: sequencing is cheap (and getting cheaper), many people already track their own phenotypic data automatically, and AI can serve as both the analysis layer and the interface anyone can use to engage with their own biology. Better yet - we’re approaching an era where much of this can be done locally and with every individual in full control of their data. We're launching something soon at @genomecomputer. I’d you’d like early access, my DMs are open.