When training neural networks, until enough training data is collected there will be a period when the output of the neural network is full of false positives and false negatives (aka junk)
The same could be said of the human brain (a biological neural network), unless you have access to another human brain whose output you can totally trust and rely on, there will be a prolonged period when you fumble around while struggling to gather enough data to build a mental model of the new domain.
Based on my experience, the main challenge when breaking into new domains is that no pre-trained neural networks exists. During such situations, expect a prolonged period of confusion and fumbling around. Persistence (aka brute force iteration) is probably the only thing you can fall back on.
Thankfully, totally new domains seldom exists. Whatever “new domain” you think you are trying to break into, someone else is probably either doing it right now or has already done it.
That is why I built GetData.IO. It is to help people who need data to make good decision quickly find the data they need as well as people who might already have a trained model.
Human values like justice and mercy is hard if not impossible to encode as rules
Data scientist use proxies as an approximate gauge for the existence of values. These are inherently inaccurate if not downright wrong
While using of race as a feature to determine if loan should be approve is obviously racist, the use zip codes though not obvious is equally racist since race tends to segregate around geographical territories
Models are increasingly used to across various domains to help increase the speed of decision making. This increases the negative impact of badly designed models will have on humans
A feedback is necessary to ensure continuous correction of badly design models – transparency of how your credit score is calculated
Regulations are necessary on the use of models as companies driven by quarterly reporting requirements of shareholders are primarily be focused on the bottom line
Across multiple literature, its been stated privacy versus health will be one of the primary dichotomy societies around the world will need to juggle with as technological advances are made in the fields of artificial intelligence, communications (surveillance) and medical science (genetic research).
What is surprising was the rate at which the Corona pandemic catalyzed this change. In light of this, it is fascinating to observe how different societies position along the spectrum. Some societies has opted for surveillance to the maximum extend possible with current technology while others opted for its polar opposite going to the extend of staging mass protests against it use.
The AI Economy, Roger Bootler
To Be a Machine, Mark O’Connell
Irrational Exuberance, Shiller, Robert J.
Life 3.0: Being Human in the Age of Artificial Intelligence, Max Tegmark
Fascinating AB testing observed on the entire world’s population by major news networks.
Barely 72 hours after the announcement of phase 1 trade deal, its accompanying mass euphoria and surge in world markets, the almost same exact photo with some slight changes in copyrighting and background color is released into production.
It will be fascinating to observe the world’s reaction to this new AB year variant that just got released and the corresponding market price levels.
Companies are increasing shifting their service from one-off on premise licensing deployment monetization to cloud based SaaS recurring subscription models
revenue hit in the short run
increased customer LTV in the long run
affected publicly traded companies will experience short term discounts to their shares
Artificial intelligence versus Augmented intelligence
companies are increasingly shifting away from automatic insight generation to systems that help decision makers simulate and model potential outcomes when specific policies are executed
demand is shifting from insight generation to data cleaning services
Corporate adoption of artificial intelligence
CEOs are increasingly considering how to leverage AI as a tool for their trade
primary use case is figuring out how to increase their sales volume
experiencing challenge on how to apply AI on in-house data to achieve monetization goals
Rise of deep vertical data networks
EverString – provides sales lead refresh for all client companies ends up becoming a large database for decision-making executives information, approximately 6 million records
StreetSine.sg – cleans up real estate data to help agents better price houses for sale by utilizing in-house agency ends up becoming a large database of high quality real estate data
Bit coin is still the main poster child
general population still skeptical about libra
main argument is still to remove central bank controls
main adoption hurdles
writing throughput volume
a stable store of wealth
starting to be using as a means to facilitate transaction in China
Inability to increase or decrease currency supply in times of need is going to be hard as a means to provide much needed stimulation during economic recessions and inflations
US/China trade war
sources of conflict
forced technology transfer
unfair trade practices like subsidized state owned Chinese companies operating in the export markets
China is experiencing inflationary deleveraging
local farmers are not growing critical food sources
critical food supplies are imported
price of imported goods are denominated in US reserve currency
shifting of supply chain out of China to
Li Ka Shing moved funds out from Hong Kong in 2013 to Europe
raising funds for US Venture capital from China was easy prior to Chinese and US government shut down
US is experiencing deflationary deleveraging
businesses are concerned about macro environment and are reducing fixed investments
manufacturing is slowing due to decreased demand both locally and overseas
consumer spending and confidence is still strong
Chinese domestic concerns
Potential US meddling in Chinese domestic affairs – Hong Kong’s demonstration and demands
Revoking of National Education
Revoking of extradition bill
Resignations of HK Chief executive
universal suffrage: freedom to elect their own leaders
destabilized situation presents a challenge for Xi JinPing’s party to retain control of power over former Jian Zemin’s faction
US is a highly rule based system
China’s system of control is highly subjective to the individual in power. Direct government intervention in the distribution of wealth is a major source of concern
US/Mexico and world issues
NAFTA agreement was too one side and failed to take into account large imbalance between the two economies
US’s arrangement of allowing Mexican tax payers the right to claim dependents ultimately resulted into tax claims and refunds for entire extended families in Mexico. This has the effect of subsidizing Mexican’s at the expense of Americans living along the rust belts
Its observed income inequality is becoming prevalent across the entire world not just within US and China.