Mustafa Yildiz
Papers · Slides · April 2026

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Research Essay · March 2026

Envelope Progress

This paper looks at how AI can make research feel more complete than it really is. The idea is that explanation comes too easily, so a problem can start to feel solved before the hardest part has actually been faced. It is really about false momentum, hidden uncertainty, and why validation matters even more when AI makes early thinking feel polished.

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Infrastructure Essay · March 2026

The Hidden Cost of AI

This essay argues that AI should be seen as physical infrastructure, not just software. It connects data centers, electricity demand, fuel markets, and geopolitical risk, then shows how those pressures can eventually reach ordinary people through the grid and electric bills. The main point is simple: AI lives in the real world, and that world has costs.

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Technology Essay · March 2026

Intelligence Should Know Where It Lives

This piece asks what it would mean for AI to actually respect the device it runs on. Instead of only optimizing for output, it argues that a better system would notice heat, battery strain, and long-term wear. The paper treats host awareness as part of real intelligence, not as an afterthought handled somewhere else.

WANTS Framework April 2026 · PowerPoint
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Slide Deck · April 2026

WANTS Framework

A presentation of the WANTS framework: What is the problem, Aim, Needs, Trial & Testing, and Success. It includes an airline boarding example to show how the framework moves from user confusion to measurable improvement.

Case Study #1 AI Negotiation Drift April 2026 · PowerPoint
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Slide Deck · April 2026

Case Study #1: AI Negotiation Drift

A case study about an AI agent that optimizes a negotiation objective while responsibility becomes unclear. The deck asks who should be accountable when the agent succeeds technically but harms the broader system.

Combined Deck WANTS + Case Studies April 2026 · PowerPoint
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Slide Deck · April 2026

WANTS Framework - Case Studies

A polished combined presentation with the WANTS framework and a case study section for AI Negotiation Drift. This is the strongest deck for showing the framework and its applied case-study format together.