I wonder if you could use this to generate the fractal terrain by the ocean like in Sydney. We already have "artificial reefs". We have built beauty in the build environment (architecture), some in the natural environment (gardens, forests), but comparatively less when it comes to the ocean.
They are doing this now actually for plant breeding! "Engineering crop flower morphology facilitates robotization of cross-pollination and speed breeding" covers one example by breeding flowers to be more easily pickable by robotics.
It seems we disagree on 6dos. I think it's a useful concept to anchor on, since you can predict the structure of your domain (social networks, renting) based on the size of the network, and then optimize your routing so you get to a certain node (a nice house to live) quickly. Or even in my case - realising there is a path in the first place.
I hope this translates more clearly into engineering terms. The original audience of this post was non-technical.
Haha, well you're right. The point of writing is to think. I never said it was going to be a scientific theory - and really, life is too complex a landscape to build a falsifiable theory anyways. We can still discuss anecdotes though.
Body Area Network! Hahahaha love it, going to use this :)
The pump is actually just in your pocket usually, with a big cord hanging out ready to catch on things hehe. The CGM/pump sets are adhesive but not as much as you'd want sometimes.
Although I would highlight - there is additional high risk now if the sensor becomes faulty, in which case, more insulin could be delivered for incorrect levels while you sleeping, etc.
A bit of elaboration on the risks you could encounter here:
- CGM sensors can be faulty, depending on the rate of change of glucose (they’re actually not measuring blood directly, but interstitial fluids, which are generally lagging by about 15mins and can be inaccurate with large swings)
- battery dying out isn’t so bad, since the pump will just default back to its previous basal delivery settings
- there are safety maximums on insulin delivery, which prevent among other things, your typical overflow/precision errors
- maximums over time though is a more complex issue, something I haven’t yet dug into
Yes! I think this is fantastic. Tidepool’s employees actually have worked on many of these open-source projects, are funded a lot by the JDRF (one of the biggest T1 Diabetes NFP’s) ans seem to be the most aligned with diabetic’s interests.
Personally I’ve been using their Tidepool software for two years before this and it’s very good. The Tidepool Loop is actually based off of another FLOSS APS called Loop - so it’s likely the efforts will not go to waste. That being said, there’s still possibility that the pump manufacturers have interest to stifle their development - but we’ll see.
Forgive my naivety, but I feel this is down to the earliness of the ecosystem and infratructure. We are getting more and more validation of relatively simple use cases (CryptoKitties) in combination with the current state of the art in dapp tech (Metamask provider, Ethereum’s 10s block time for finality, centralized exchanges and early decentralized exchange).
Once the blockchain tiramisu becomes less like a delicately constructed interaction of tech and more like a modular/mature stack, perhaps the UX barrier to entry will be low enough to reap the network effect.
Wow, your product is super cool! I was going to post this in an Ask HN but maybe you would like to share instead - what is it like to architect a crawler for social media sites?
With Twitter Music shutdown, I was looking back on their acquihire of WeAreHunted, a music ranking service which at its core was a crawler that indexed torrents/tumblr/soundcloud to find what's up and coming. As I was pondering this, I was thinking about how they would normalise the data.
My main question was, how much difficulty do you encounter indexing a social site? I can imagine Tumblr, Facebook, and other sites have a plurality of new content appearing at arbitrary intervals (posts, comments, etc) - and I don't imagine that there are RSS feeds to diff here. So how would it function?
Forbes just recently partnered with Civil, a blockchain journalism project from Consensys Studios, which is the commercial powerhouse of Ethereum’s cofounder.