LessWrong, *Alignment can be the 'clean energy' of AI* (https://lesswrong.com/posts/irxuoCTKdufEdskSk/alignment-can-b...

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 Alignment can be the ‘clean energy’ of AI 

 by Cameron Berg , Kvee , Trent Hodgeson 22nd Feb 2025 10 min read 8 69

 Not all that long ago, the idea of advanced AI in Washington, DC seemed like a nonstarter. Policymakers treated it as weird sci‐fi-esque overreach/just another Big Tech Thing. Yet, in our experience over the last month, recent high-profile developments—most notably, DeepSeek's release of R1 and the $500B Stargate announcement—have shifted the Overton window significantly. 

 For the first time, DC policy circles are genuinely grappling with advanced AI as a concrete reality rather than a distant possibility. However, this newfound attention has also brought uncertainty: policymakers are actively searching for politically viable approaches to AI governance, but many are increasingly wary of what they see as excessive focus on safety at the expense of innovation and competitiveness. Most notably at the recent Paris summit, JD Vance explicitly moved to pivot the narrative from "AI safety" to "AI opportunity"—a shift that the current administration’s AI czar David Sacks praised as a "bracing" break from previous safety-focused gatherings.

 Sacks positions himself as a "techno-realist," gravitating away from both extremes of certain doom and unchecked optimism. We think this is an overall-sensible strategic perspective for now—and also recognize that halting or slowing AI development at this point would, as Sacks puts it, “[be] like ordering the tides to stop.” [1]  The pragmatic question at this stage isn't  whether to develop AI, but  how to guide its development responsibly while maintaining competitiveness. Along these lines, we see a crucial parallel that's often overlooked in the current debate: alignment research, rather than being a drain on model competitiveness, is likely actually key to maintaining a competitive edge.

 Some policymakers and investors hear "safety" and immediately imagine compliance overhead, slowdowns, regulatory capture, and ceded market share. The idea of an "alignment tax" is not new—many have long argued that prioritizing reliability and guardrails means losing out to the fastest (likely-safety-agnostic) mover. But key evidence continues to emerge that alignment techniques can enhance capabilities rather than hinder them (some strong recent examples are documented in the collapsible section below). [2] 

 This dynamic—where supposedly idealistic constraints reveal themselves as competitive advantages—would not be unique to AI. Consider the developmental trajectory of renewable energy. For decades, clean power was dismissed as an expensive luxury. Today, solar and wind in many regions are outright cheaper than fossil fuels—an advantage driven by deliberate R&D, po

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