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Let's discuss principled negotiation, a method developed at Harvard emphasizing wise, efficient, and relationship-improving agreements. This approach contrasts with positional bargaining by urging negotiators to separate people from the problem, focus on underlying interests rather than stated positions, invent options for mutual gain, and insist on objective criteria.

Our materials (e.g. https://www.pon.harvard.edu/daily/negotiation-skills-daily/principled-negotiation-focus-interests-create-value/) highlight the importance of understanding both parties' needs and motivations to create value and reach mutually beneficial outcomes, ultimately advocating for a collaborative rather than adversarial negotiation style to achieve lasting and fair resolutions.

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Here comes a crazy research paper.

Our source: https://arxiv.org/pdf/2506.03503

This document explores a novel computational framework that integrates quantum mechanics with Generative AI to model the emergence and evolution of social norms. The study draws conceptual parallels between quantum computing principles (superposition, entanglement, probabilistic measurement) and social behavior, treating society as a dynamic, uncertain system. It proposes and simulates ideal-type experiments using generative agents that adopt roles as compliers, resistors, or enforcers, interacting in a monitored environment to reveal emergent social patterns. The research aims to move beyond traditional observational social science by offering a quantum-informed lens for understanding and potentially redesigning complex social systems through advanced simulation.

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Alpha School promotes a unique educational model centered around AI-powered personalized learning, allowing students to complete academics in roughly two hours daily. What does it say about the role of artificial intelligence in education?

This approach enables students to learn at their own pace and master concepts effectively, potentially achieving academic progress faster than in traditional settings.

Watch Alpha School's video here:

https://www.youtube.com/watch?v=ENdAWT6N0V4

The school emphasizes developing life skills and pursuing passions in the afternoons, facilitated by teachers who act as guides and mentors rather than solely instructors. Alpha School aims to cultivate a love for learning and equip students with both strong academic foundations and practical abilities. With campuses in multiple locations and plans for expansion, Alpha School presents itself as an innovative alternative to conventional schooling.

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"Abundance" by Ezra Klein and Derek Thompson critiques the barriers hindering progress in the U.S., particularly within liberal governance. The book argues that well-intentioned regulations and entrenched interests often stifle development in areas like housing, infrastructure, and climate change.

Several sources offer reviews and analyses of Abundance's thesis, with some praising its vision for a "liberalism that builds" and others expressing concerns about its potential for deregulation and insufficient attention to issues like economic inequality and corporate power. The authors, both prominent journalists, advocate for a shift towards prioritizing tangible outcomes and increased government capacity to achieve societal goals, rather than being solely focused on ideological debates and procedural hurdles.

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Let's talk about linear regression, a fundamental supervised machine learning technique used for modeling the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data for prediction and analysis.

We'll cover types, assumptions, implementation details like cost functions and gradient descent, evaluation metrics, regularization techniques, a Python implementation, and applications across various fields, along with its advantages and disadvantages.

We will then look at a more formal statistical perspective, detailing the formulation, extensions to more complex models, various estimation methods beyond least squares, applications in diverse domains, and its historical context. Together, this video is a comprehensive overview of linear regression from practical implementation to theoretical underpinnings and real-world usage.

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In this podcast episode we're talking about meritocracy.

We will explore the multifaceted concept of meritocracy, examining its historical roots, diverse interpretations, and philosophical underpinnings. The Stanford Encyclopedia of Philosophy entry offers a comprehensive academic analysis, tracing the history of meritocratic ideas from ancient Confucianism and Greek philosophy to modern political thought, while also dissecting conceptual issues like the definition of merit and its relation to desert and equal opportunity.

It further investigates meritocratic governance and justice, considering justifications and various objections from different philosophical perspectives. Complementarily, the Wikipedia excerpt provides a broader overview, including the term's etymology, historical manifestations like the Chinese Imperial Examinations, and contemporary criticisms, particularly regarding its practicality and potential to mask existing inequalities, highlighting the ongoing public debate surrounding meritocracy as both an ideal and a societal reality.

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Need help with AI?

Book a consultation here:

https://swetlanaai.gumroad.com/l/ai-consultation

Or contact me here:

https://swetlanaai.com/contact/

Whether AI for teachers, AI for business or AI for images/writing/music/videos, I’ve done it all (and even wrote books about it). I can offer you a personalized AI tutorial for beginners, intermediate users, and anything in between.

All in all I can show you things like:

- how to use ai for marketing

- how to use ai for SEO

- how to use ai for business

- how to use ai for writing

- how to use ai for research

… and more.

#aicoach #aicoaching #aihelp

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