Are They Trading Unity For Individual Excellence?


I’ve experienced seeing years of spontaneous one-time solutions as opposed to organized and pre-planned ones. I and many others were convinced by our condition to accept small batch craft remedies pasted together with trauma reactions, career aspirants and compelling stories. We didn’t have the intellectual standing to raise questions that would challenge the story tellers, lest we’d be considered for ridicule.

We were caught in a rip tide of coming along for the ride, be damned anything needing to be organized aside from speeches. We were living and organizing around slogans, theories, guesses and unvetted data. The bad habits were being instilled as truth, some were calling command of people who never joined or pledged. They could not be reasoned with to do power organizing differently, so unity never appeared because each one was teaching their way and never considering error. They were talking about people that they never met, that they never asked for input and people that they didn’t know at all. The media stayed filled with slogans of conflicting narcissism raging in diverse places, strangling the buds of mutual agreement for what could have been.

Even today you can hear the chorus of trust me, love me, follow me and we’ll be free. It appears true that passion only trumps evidence in a speech. The tools to vet the content and raise questions along with pre-communication agreements are making change. At mate3 we organize around the simplified firsthand account of what happened. Our network encourages pre-agreement to have organized communication to connect and expand 1st party options.


Comments

Post a Comment

Popular posts from this blog

Self-Added AI Aided Firsthand Accounts

Image
The method to add our first-hand account of what happened in an organized method is empowering. Agreeing on language at the front end raises the value of engagement. Mate3 networking is a tool that starts with a limited communication agreement. The value adding service of mate3 is to organize around the first-hand account of what happened and not simply the outer causes. The streamlined effect brings the most productive responses to the 3 first-hand answers that are provided. Mate3 combines what’s said to be needed to the process of organizing and advocacy. By bringing what’s already said to have happened to meet other accounts, we boost both organizing and advocacy simultaneously. Mate3 networking is built on the front-end mutual agreement to have safe and open first-party communications.
Read more

Mate3 Organized Redress Plan For AI Related Problems Pt.1

Image
  Overview This plan aims to create a structured approach for addressing grievances stemming from AI technologies. It will focus on empowering individuals and communities, advocating for fair policies, and facilitating connections between affected parties and decision-makers. Objectives Raise Awareness:  Increase understanding of AI-related issues and the potential for bias. Facilitate Communication:  Connect affected individuals with resources and advocacy groups. Develop Policy Frameworks:  Advocate for fair and effective policies to address grievances. Provide Redress Mechanisms:  Create systems for reporting issues and seeking compensation or resolution. Steps to Implementation 1. Establish a Coalition Identify Stakeholders:  Collaborate with affected individuals, advocacy groups, tech experts, and policymakers. Form Partnerships:  Partner with organizations focused on AI ethics, civil rights, and technology advocacy. 2. Create Communication Channe...
Read more

Accessing Empowerment For Redress With AI

Image
I agree with some of the same aspirations that I have heard about, but I didn’t know how, when or where to find the affected person and connect. Mate3 networking is addressing the problem of identifying and connecting with other stakeholders. The mate3 initiative is building mutual agreements to have communication. Communication with the mate3 network would be used to aid redress in two ways. Firstly, we organize around the firsthand accounts of what happened. Secondly, we use what’s said to have happened to improve what should be done to make advocacy support models better. Today we’re aligning AI agents that can work with activists, advocates, organizers and victims to review transcripts and testimony to find procedural errors and biases. The findings are compared and connected for public awareness, information and direct action.
Read more