What can we build with image recognition, natural language progressing and pattern recognition? What can we build with wifi chips, cameras and microphones? What can we build with motors and heating elements? And, again, we are working out how to combine them, build them into products, add them to other products, and surface that to the user. Again, many of these components are now commodities, or are quickly becoming commodities. Again, we have an ever-growing set of components in things like computer vision, speech and NLP, as well as broader and less visible kinds of ML-based pattern recognition. Part of this process is also working out where the company value goes - which things are commodities from the existing manufacturers (oven companies, locks companies etc), which are commodities from Shenzhen, and which are opportunities for new company creation.Īll of this overlaps very directly with a parallel process of creation and discovery happening in machine learning, especially in consumer products. Lots of ideas for products are being tried - some will be the kettles and some will be the can openers, and it will only be obvious which in hindsight. The same is happening with ‘smart home’ now. Hence, people proposed all sorts of electric devices for the home, and we collectively worked out which made sense and where - everyone in Britain has a kettle, most people in America have a blender, and no-one has an electric can opener. The electrification of the home was enabled by cheap DC motors, heating elements and so on, and the current wave of ‘smart home’ devices is enabled by cheap and low power cameras, wifi chips, microphones and so on (mostly coming out of the smartphone supply chain).Įqually, in both of these cases there’s a discovery phase: we may have all of these components but we still have to work out the right ways to combine then. In both of these cases, a wave of commodity components enabled a wave of product creation. Again, our children and grandchildren will have no idea, and it won’t matter. Today we have no idea and it’s not a meaningful question, but we probably do know how many devices we own with a network connection. There was one in the car, one in the fridge, one in the vacuum cleaner, and they probably owned a dozen in total. There have been a few interesting comments on this post, I encourage you to read them if you want to learn more about this mechanism.My grandparents could have told you how many electric motors they owned. prepend the link-local prefix: fe80::5074:f2ff:feb1:a87fĪ converter to do the same operation in reverse is available here.replace first octet with newly calculated one: 5074:f2ff:feb1:a87f.convert octet back to hexadecimal: 01010000 -> 50.convert the first octet from hexadecimal to binary: 52 -> 01010010. reformat to IPv6 notation 5274:f2ff:feb1:a87f.take the mac address: for example 52:74:f2:b1:a8:7f.Here’s the conversion process step by step: This link-local IPv6 is infered from the NIC’s mac address.Ī mac address is 48 bits, an IPv6 address is 128 bits. Instead of getting an address via DHCP, a NIC will hop on the network with a link-local IPv6 address and with this will have to ability to do further configuration automatically (soliciting neighbors, router, et cetera). Link-local IPv6 addresses are used as part of the IPv6 network auto-configuration process.
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