Category Archives: The Future

Falling Profit Margins

More availability of information leads to more competition. More Competition leads to lower profit margins.

Higher profit margins will only be possible in businesses with limited competition. The dominant way to legally limit competition is through innovation and protecting intellectual property rights.

Innovators will be rewarded more and more over time.

Over time, information becomes more and more available and interpretable. In this environment, people are able to demand fair compensation with a better and better understanding of what fair is. People will have to be compensated more and more closely to the value of their work. As this happens, profit margins will fall toward the pure value of synergy, however it is defined, and equity valuations will reflect these changes. Whenever employers refuse to meet the demanded minimum compensation for employees, the employee suddenly becomes competition. The economy will transition toward a large number of smaller economic players rather than the small number of large currently dominant players. Existing job roles become commoditized over time as large numbers of players compete profit margins away. The only way to substantially and positively differentiate your profit margins is to do something that is not yet commoditized; in other words, to innovate. The only way to maintain your differentiated position is to protect your existing innovations through patents and secrecy and continue to innovate.

Implications:

  1. In valuing your stock positions in companies, consider how easy it may be to enter their market in the future. Also consider their profit margins with the knowledge that there tends to be a profit squeeze as competition increases.
  2. Record your thoughts if you think that they may be unique and potentially valuable. Nobody else can patent something if you thought of it and recorded it properly first.

Artificially Intelligent Program Trading System


Data Sources

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Parallelized Analytics Agents

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Signal Aggregation analytics

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Webserver

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Trading Platforms and Reporting

Arbitrages – even of very small marginal size – could be exploited based on a large number of artificially intelligent program trading systems mining historical and currently released information for financial products and correlated factors. Using multiple signalling agents, aggregated signals can be calculated by weighting each agent based on the statistical strength of historical signal combinations. Using this type of design, it is easy to develop multiple agents that are completely independent and confidential. Multiple agents can be developed concurrently, tested, and introduced to the aggregate system at any rate.

The process of the elimination of arbitrage opportunities will create vast concentrations of wealth within the companies that embrace the tools that automate this process. As new information sources become available for analysis, new arbitrages may be identified with increasing complexity. The abstraction of trading systems to automaically test and integrate new data sources will mark the last decades of financially advantageous investment in hedge funds. After that time, return will be a stochastic function of expected risk.

Portable Device Recognition and Control Application

Wearable GPS system, connected to electronic compass, video camera, and image recognition system — linked to external data source and SOAP enabled web services including device control. Enables intelligent wireless device control with commerce access and funtional extensibility. The GPS and compass narrow down the target device set, and the image recognition system identifies the target device more specifically (a pull-down menu could be used instead). Once identified, the device options would be available through the networked wearable interface.

Self-Improving Image Recognition System

As image recognition is used and result sets are offered to users, the user selects the best fit result – and in doing so, indicates new data for future recognition. New angles, characteristics, and items could become recognizable with open training. Open training would consist of running the image recognition system on all available images (starting with web content, then uploadable images, then synchronization with networked cameras) and allowing any web user to click through the images by selecting the most appropriate result (or typing their own). After initial training, the system would be appropriate for many image recognition applications – with flexible adaptation to multiple specialized applications.

Community in the 21st Century

Communities will be based on areas of interest, discussion, belief, and informational interaction, rather than physical proximity and race. Individuals will be members of many unrelated communities.

Community sets may overlap in telling ways when looking at large numbers of people. This data might be used for suggesting additional community associations and interpersonal relationships with shared interests.

Markets and marketing will be based on these communities.