Thanks for this very interesting post. There is a fascinating part of the post which discusses whether the individual is still training the machine learning algorithm or if the algorithm is now training individuals of what the societal definition of ‘beauty’ is. I’m curious to think about how the algorithm will respond to changing trends. If society trends towards different attributes of ‘beauty’, then this could confuse the algorithm as to which attributes to suggest in the editing software. Will it preference the older trend which has a high quantity behind it or the newer trend which has recency? As Meitu expands into different countries and exists over a longer time period, it will be interesting to see the machine learning process evolves.
Thanks for this very interesting post. One of the challenges for machine learning and autonomous vehicles is what is the level of computer error that is acceptable. If a self-driving car gets into an accident, are we willing to allow the algorithm to continue to function? What is an autonomous ship crashes and spills oil? Autonomous ships are undoubtedly becoming safer, but I still think there is human bias against autonomous vehicles when they are involved in safety issues – even if they are on average safer than humans.
Thanks for this really interesting article. I think the strategic question posed at the end is a fascinating one to consider. If GE earns a margin on every engine it sells to Boeing or other airplane manufacturers, how can they best capture the benefits from additive manufacturing? If other manufacturers such as Rolls Royce are also moving in the direction of additive manufacturing, does GE need to act with more urgency so as to be the first-mover that captures more of the benefits? This is a very interesting question for GE leadership to consider as they continue to innovate.
Thanks for this really interesting example attacking a big problem. I wonder whether this technology is only applicable to developing countries or also developed countries. In developed countries, I think much of the value from ‘the home’ is not just from the structure, but the idea of ‘the networked home.’ Homes are connected to many essential services – electricity, water, internet, etc. Can additive manufacturing be done in a way that allows structures to easily be connected to the network? I think this is an interesting question to think about for the strategy going forwards.
Thanks for this very interesting article. I think Valve is a pretty interesting company in terms of its leadership philosophy and it was fascinating to learn how efficiently profitable it was (at least in terms of human capital). Another interesting strategic question related to open innovation is one that is common to many ‘platform’ companies. Valve is earning a lucrative 30% cut for all games sold on their Steam platform. Will these margins compress over time? If not, will there be another platform that develops where game developers can keep a higher percentage of their earnings. We have seen such a competition develop between Uber and Lyft, as well as many other smaller competitors. In the video game context, we have further competition from closed platform, such as Microsoft and Sony. I’m curious to see how Valve’s fortunes change over the next 5-10 years as successful developers may look for either closed platforms or new forms of open innovation platforms.
Thanks for writing this informative and interesting article. Your ending question here about if voting machines should be developed by for-profit companies is a compelling one, particularly given the mid-term elections last week. I wonder if we will see increased calls for voting infrastructure to be developed exclusively by the federal government to try and limit access to the technology by outsiders. Given the ongoing recount in Florida, I wonder if there will be any increased calls for changing voting machines back to the old analog model. How does this intersect with the desire to increase access to voting, decrease waiting times, and improve reliability of voting counts. In my opinion this is a challenging area where technology can enhance voting access but potentially put reliability at risk.