Mo Shafieeha

If you concentrate on org structure alone, you can fix whole class problems by tweaking the culture or changing the incentive system. Every solution to an organizational design problem requires restructuring. There will always be problems in a newly formed organization, just because you haven't discovered or experienced them yet, but that's the... See more

Some ideas are true and correct when applied to higher levels of abstraction. However, ideas that might use to lower classes do not translate cleanly to high levels. Though human psychology rests on the complex interplay between neurons, neural network rules do not apply. On the other hand, the regulations that govern a market economy do not extend... See more

Coin Voting allows token holders to participate in decision-making, but most token holders are not well-known (a result of attracting high-APY token holders). Decentralizing governance was delayed rather than building community. Despite the desire for decentralization (for regulatory, idealistic, or scaleable reasons), new alternatives have... See more

Technology cost curves: the speed with which solar power cost fell beat the predictions by ~6X https://nytimes.com/2022/06/05/opinion/climate-change-should-you-have-kids.html?referringSource=articleShare…

Despite its incredible progress, machine learning hasn't moved forward. McKinsey famously estimated that industries could unlock $5T+ of value by integrating machine learning. Although companies have invested a lot in AI, they still don't seem to be getting there. They describe a feeling of fatigue that has started to show that AI is just for elite... See more

Pure Technology Innovation An excellent innovation thought experiment is the development of biomedical businesses because they eliminate a primary innovation dimension. In a two-dimensional space of companies, each point represents a problem. Technology is the x-axis, and problems are the y-axis. Innovative companies match technology to unsolved... See more

3. The types of data that can be analyzed with bioinformaticsGenetic data, such as DNA sequences or RNA transcripts, biological data, such as biochemistry measurements or metabolic rates, and statistical data, such as gene expression levels or models of protein structures.