Nathan Nemon's Profile
Super cool tech and well-written article! I’m left with a couple questions: 1. what is the path toward cost-parity with existing manufacturing techniques? I understand drivers are advanced technical labor and limited output rate of the machines, but I’m curious when the million shoe capacity level will be achieved? 2. I know it’s still early, but I’m curious if Adidas has a plan to support the communities in which its labor force currently work as this manufacturing innovation takes hold. Ultimately, this type of 3D printing will provide not only enhanced customizability but also cost savings as the price of inputs (e.g., labor) are driven down. When that happens, many manual laborers that Adidas has employed will be laid off. As a larger societal challenge, how can we redistribute the increased economic profits to Adidas from lower costs to communities to avoid the worse detriments of job displacement? This certainly is a challenge extending beyond Adidas (and arguably its responsibilities), but I’ll be curious to see if / how Adidas chooses to address this reality as it approaches.
To build on Liz’s point about management, I wonder if CO-ADD’s founder and team have the right skillset to make CO-ADD most valuable as in addition to having technical expertise relevant to screening for anti-biotics. In other words, given CO-ADDs unique and collaborative approach, are there lessons to be applied from other industries about idea gathering, prototyping, testing, etc. with which the current team may have minimal experience. If this is the case, they might be able to bring in outside help with less knowledge of the drug industry but with ideas about how to streamline the ideation and product development process. This could ultimately facilitate stronger partnerships with big pharmaceuticals and improve the long-term viability of CO-ADD.
I do think it will take a while before we can expect an all-AV scenario, Brian, however I do think that we will get to a high level of adoption (~90%) by 2050. This is namely for the safety this technology brings. Although lacking in many ways, there are gun control regulations that reduce the prevalence in society; I think we can expect the same due to the risks to human life. Similar to guns, I think there will be dedicated spaces for car enthusiasts willing to pay for their opportunity to drive in public areas (and drive internal combustion cars as long as they’re willing to pay for the cost of emissions).
@ssingayapally did you encounter discussion on the need for Lidar technology and its role in providing data for Waymo’s ML algorithms? I know other companies such as Tesla don’t view this technology as necessary so am curious to learn more about why Waymo and others believe the extra visibility it provides is necessary / worth the extra cost and physical impact to vehicle design. Also, does the fact that Waymo is partnering with FCA and Jaguar to obtain vehicles as opposed to manufacturing themselves pose any risks to long term development of their product?
Fascinating stuff! Did you get a sense for what are the largest barriers to profitability? Are they the technical challenges or are they demand-based? A few years back, I attended on a talk on biomedical 3-D printing in which the company was using collagen protein to print organic structures — is Organovo utilizing this? Also, I’m really glad you brought up the ethical concerns question. It seems to me in the near term, it is a positive outcome to use Organovo product for testing instead of animals, however, as they and other companies become more proficient at creating tissue, we will certainly have to reckon with the implications of artificial biology. Homo Deus by Yuval Noah Harari examines these developments as well as the growth of artificial intelligence and what impact the two trends will have on different classes in society (the wealthy more-so in the near-term).
Nice piece about a topic I’ve been curious about! The recommendation engine at Spotify, namely with respect to the Discover Weekly playlist, has been a great source for new music and consistently offers songs I like. Somewhat related to what Ian was asking, I’m very curious how Spotify can use its insight to provide value to artists. I understand Netflix has used its ML and user data heavily to create original content; if not possible to create music or hire artists themselves, I’m wondering if Spotify could at least provide insights. Maybe they can develop a new revenue stream by supplying music labels with music insights? One concern I’ve had is if the learning algorithms and listener grouping will ultimately make more unique, original music less available. In other words, will we just listen to music that other groups of folks are also listening to? How do we remain open to new music that others may not have found yet?