ai-loop

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#ai-loop

@Phoenixyin13: What does a good Loop actually need? This article finally addresses the most valuable part. The number one priority is a verification mechanism. AI cannot grade itself; it will give itself full marks. There must be an objective way to check, such as code passing tests, the article meeting word count and structure requirements, numbers matching up, etc. Without this, the loop is just a waste…

X AI KOLs Timeline · 2026-06-21 Cached

The article discusses the three most important elements of an AI loop: verification mechanism, memory, and stop condition, and points out the cost-effectiveness issues of current fully automated loops.

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#ai-loop

@TechFlowPost: Y Combinator partner shares how to build an AI company? Current companies are like Roman legions; AI breaks this paradigm, restructuring the company into a recursive self-improving AI loop. Tom Blomfield's core advice: · Make the entire organization fully readable to AI (record everything...

X AI KOLs Timeline · 2026-05-26 Cached

Y Combinator partner Tom Blomfield shares how to build an AI company, proposing to restructure the company into a recursive self-improving AI loop, and emphasizing making the organization fully readable to AI and separating speaker information.

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#ai-loop

@DayShuai: Tomorrow I'll volunteer to share my own AI loop at the Yang Zhang lab group meeting. The same OS pattern has run out 3,400+ 0-axiom Lean 4 theorems on automath and newmath in the past six months, with 5×/week automatic releases,...

X AI KOLs Timeline · 2026-05-19 Cached

Sharing experience from the AI loop at the Yang Zhang lab group meeting, including automated theorem proving, multi-machine collaboration, distilling a private experience base, and mentioning examples of Fields medalists using AI to solve mathematical problems.

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