“The Black Mirror Effect is the tendency of society to ease unwittingly from normalcy into techno-dystopia without realization.”
Source: Disrupt With Impact: Achieve Business Success in an Unpredictable World
“While we strive to understand the universe, the true nature of reality might be as much about the observer as the observed.”
Source: The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
“In the symphony of AI, let GPT be the rhythm, but always let human ethics be the lead.”
Source: The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
“Dive deep into AI, but always keep a lifeline tethered to human empathy.”
Source: The Ultimate Modern Guide to Artificial Intelligence: Including Machine Learning, Deep Learning, IoT, Data Science, Robotics, The Future of Jobs, Required Upskilling and Intelligent Industries
“Confabulation, or hallucination, is ubiquitous in AI/GPT output already. Efforts to correct this by self-learning algos and back propagation are unlikely to solve the problem because they add to the complexity of the system as a whole, which increases the likelihood of emergent ghosts. The difficulty is that duplicity is hard to detect unless you're a subject matter expert in the topic or you conduct your own research to test its accuracy. This begs the question — if you have to be a subject matter expert to spot the flaws in AI/GPT output, what good is the system in the first place?”
Source: MoneyGPT: AI and the Threat to the Global Economy
“... bias in training materials is inevitable and there are better ways to deal with adverse effects than to scrub them out of existence. Efforts to eliminate bias would simply create new kinds of bias and distort the validity of the original datasets. Bias can be unjust by some standards but serves a useful purpose. ... the way to deal with it is to use other systems developed by those not involved in the original code, assisted by subject matter experts who could spot damaging bias in AI output and mitigate it in a commonsense manner. The way to deal with bias is not to eliminate it (you can't) but to identify bias and take it into account. Again, education and accountability are better than censorship and new biases.”
Source: MoneyGPT: AI and the Threat to the Global Economy
“Good management has a lot to do with incentives and decentives. It's about making sure the company has systems in place that incentivize desired behaviors and decentivize undesirable behavior.”
“Systems don’t kill creativity. Chaos does.”
Source: The Leverage Point: How Smart Founders Stop Doing Everything & Start Achieving Anything
“Knowledge Is Power and Power Is Dangerous”
Source: The Pythagorean
“If we are to remain relevant, we need to build antifragile foundations to prepare for disruption and benefit from any disorder. We must create innovative, fluid, and adventurous mindsets as well as social and economic networked ecosystems that strengthen from stress, random events, and shocks.”
Source: The Definitive Guide to Thriving on Disruption: Volume IV - Disruption as a Springboard to Value Creation