Show Notes: Kamala’s Blue Screen of Death and Severed Conscience

By Orange and The Mighty Humanzee

Link Back to LIVE Stream

It is fitting that the week we premiere Severed Conscience – Conclusion, Kamala Harris returns from London where she talks about the threat of AI and a digital bill of rights.

Severed Conscience – Conclusion Available

The fifth and final installment of our documentary is now available.  Our work forms the foundation of master class in social media manipulation as well as ways to mitigate the adverse effects of Big Tech’s platforms on your liberty.

Darth Nessel’s Diversity Lesson

By Michigan Law, we are required to conduct diversity lessons to ensure the equity and safety of our fellow Michiganders. 

Here’s a great example, where Darth schools Talib.

Kamala’s Speech in London, AI Must Be Made Equitable

AI is the new front for stealing your rights.  You see, AI needs to be tamed so it is equitable.  That means government review of all learning models.  Every outcome is consider and existential threat when you hear Kamala’s rambling speech. 

Elawn’s xAI Grok Has A DARPA Heritage

Elawn’s ‘TruthGPT”

The problem is XAI is not that a creative name.  In fact, the same type of mission was pursued by DARPA, and their project was also called XAI.

Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machine’s current inability to explain their decisions and actions to human users (Figure 1). The Department of Defense (DoD) is facing challenges that demand more intelligent, autonomous, and symbiotic systems. Explainable AI—especially explainable machine learning—will be essential if future warfighters are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.

The Explainable AI (XAI) program aims to create a suite of machine learning techniques that:

    • Produce more explainable models, while maintaining a high level of learning performance (prediction accuracy); and
    • Enable human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners.

New machine-learning systems will have the ability to explain their rationale, characterize their strengths and weaknesses, and convey an understanding of how they will behave in the future. The strategy for achieving that goal is to develop new or modified machine-learning techniques that will produce more explainable models. These models will be combined with state-of-the-art human-computer interface techniques capable of translating models into understandable and useful explanation dialogues for the end user (Figure 2). Our strategy is to pursue a variety of techniques in order to generate a portfolio of methods that will provide future developers with a range of design options covering the performance-versus-explainability trade space.

Michigan Constructing A Controlled Environment

Wind Turbine Easement Is Horrifying


Wait, The Same Companies Who Won’t Clean Up Their Past Factories Are Building Again

GM, Ford and other manufactures have closed manufacturing facilities, and in some cases the pollution they left behind must be tended to by the local communities.  It’s amazing that the same leftists climate activists who are so breathless chanting for auto manufacturers and the CCP commence new facilities are the same leftists who cry foul over pollution and abandoning responsibility.   The cognitive dissonance is just amazing.

    • While Michigan subsidizes the auto industry’s EV future, the public is still paying to clean up the industry’s polluted past
    • Bridge identified $259 million in taxpayer-funded cleanups at more than 100 auto-related properties. The true toll is far larger
    • The state has done little to build environmental oversight into EV incentive deals, but that may soon change


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