Pacing the Frontier: 7/28/26
More than 1,100 employees & researchers from major AI firms signed an open letter “Pacing the Frontier.” calling on the U.S. & international bodies to support tools and standards that can safely manage automated AI development. [1, 2]
Key Details of the Letter
- Release Date: July 28, 2026.
- Signatories: Over 1,134 employees and top scientists from leading labs like Anthropic, OpenAI, Google DeepMind, and Meta.
- Core Concern: The looming threshold of “Recursive Self-Improvement,” where AI systems become capable of developing themselves faster than human oversight can control.
- Main Request: Urges Washington to help build governance and technical mechanisms to intentionally pace frontier capability development. [1, 2]
Responsible AI Practitioners
Community Internet
We help people and communities bridge the digital divide by supporting community-owned internet projects and digital education.
mySPARKlab.AI
A methodology for AI-augmented decision-making
Speculate · Plan · Assess · Rank · Kickoff
Altgov.AI
Dedicated to harnessing the power of artificial intelligence to strengthen government accountability, transparency, and public access to information
CommunityAgents.AI
We give your Community the upper hand
Community Management as a Service & no Nazis
Raise The Standard
Podcast launch July 23, 2026 – Responsible AI Safety Education
TOWNHALL COMMUNITY
See Events. Get help organizing a Townhall. The world doesn’t change one person at a time. It changes as networks of relationships form among people who discover they share a common cause and vision of what’s possible.
-
AI Data Centers can be small, environmentally sustainable & community owned
Community opposition blocked or delayed roughly $130 billion of data center projects in a single quarter. The harms are real — power, water, noise. But a moratorium is a pause button, not a plan. The eco-friendly mini data center alternative, and the nonprofit, for-profit, and NGO coalitions that can build it without waiting for Washington.
-
Teach, Earn, Own: A Community College Blueprint for the Regenerative AI Workforce
Volume three of the Counter-Stack series: a course catalog for community-owned AI infrastructure, a learn-and-earn model where local businesses pay only a share of student wages, the philanthropies and municipal financing that fund it, the beginning of an ROI, and how the blueprint bends for rural versus urban colleges.
-
-
-
