Autonomous AI – Tesla self driving, Google self driving
Zhong Guan Cun – Beijing
State of the Union
We are in the stage of implementation/application as opposed to RnD
having access to more data is more important than have expertise to do more RnD
having solid AI engineers is more important than AI researchers
We are still far from general AI
maybe work of strong AI algorithms engineers
Key differences between eco-systems
Silicon Valley businesses are mission and core values driven while Chinese businesses are pragmatically focused on profitability.
Silicon Valley businesses stay in bits and binaries offloading the brick and mortar to external vendors vendors while Chinese businesses extend their business model into the brick and mortar (online to offline)
Silicon valley prefers one size fit all strategy, Chinese businesses utilized localized solutions often investing/acquiring in local startups
Americans treat search engines like Yellow Pages (come and leave fast) while Chinese treat search engines like shopping mall (come to linger around long)
Silicon Valley is adversed to copying preferring to be unique Chinese business copy the heck out of each other
Abundant data – quality and quantity aided by their online to offline initiatives
AI friendly policy environment – strong emphasis by Chinese government
Hardware manufacturing know how – Shen Zhen
unparalleled supply chain flexibility – XiaoMi
Silicon Valley Advantage
Microchip manufacturing know-how
Trends within the Chinese eco-system
Darwinian eco-system has lead to extreme levels of competition
Chinese companies have already moved past the stage of clone Silicon Valley business models
Businesses innovate to build a defensive moat around themselves. Local businesses have advantage, with no timezone differences to deal with, decision making is relatively faster.
Online to offline
an essential ingredient to building strategic moats
caused the decline of cash use
Chinese government information systems will be able to leap frog US government information systems
Google – impeccable safety
Tesla / China – trial by fire
key to winning the Autonomous AI race
is the bottleneck technology (Silicon Valley) or policy (China)?
having cheap labor is no longer going to be a source of advantage in a world heavily powered by automaton. Developing countries hoping to employ this well tested strategy to progress will not be able to do so anymore
Estimated 60% potential job loss worldwide barring policy interventions
Job loss probability assessment
environment – unstructured versus structure
tasks nature – level of dexterity versus high dexterity
social – high versus low
cognitive – optimization based versus creativity/strategy based
AI replacement approach
single tasks approach
ground up rethink re-imagination
A population of irrelevant (no longer employable) as opposed to unemployed
Tackling Key concerns
Silicon valley – reduce, retrain and redistribute
Kai Fu Lee – stipends for care, service, education
Humans freed up from repetitive tasks can now focus on becoming more human oriented
www.Arvix.org – an online repository of scientific papers
Machine learning is increasingly becoming commoditized. DevOps becomes more important. Demand for specialized service where DevOps is encapsulated will further increase as demand for engineering tasks further outstrips engineering supplies.
On lead generation market
Companies in the lead generation space have need for scalable web crawlers. This helps offset the cost of retaining three in-house engineers.
Lead generation space has consolidated. There were priorly 120k such companies. There is 7k companies in operation. Majority of players are generating leads by scraping LinkedIn.
Consumer space require constant development of new features. Enterprise space requires service heavy. Enterprise space requires not just lead generation but entire channel marketing service suit (physical mail, online advertising, email marketing)
Lead gen hard to retain. The list becomes less valuable once it’s been used. 80% yearly churn is normal. One company reduces yearly churn to just 10% this by reducing second year subscription from USD800/yr to USD200/yr. further discount to USD100/yr if they don’t like. Recurring service is for grabbing fresh leads from same data source.
On Tele conference
Zoom’s product team compared with UberConference has developed a better understanding of the true conference needs of their users in various context. They have worked harder to ensure their product work seamlessly in identified scenarios. A typical example is the ability to join s conference bybthe press of a button on their mobile phone while driving instead of having to type the typical 4 pin digits.