# GuideLight AI Standards Assessment: Anthropic and OpenAI Score C+

> A new nonprofit called GuideLight has published what it bills as the first independent safety report card for frontier AI labs, and nobody did especially well. Anthropic and OpenAI tied at the top with a C+ (2.50 out of 5), followed by Google at D+, xAI at D-, and Meta at the bottom with a failing 0.67. The group was founded by Steven Adler and Page Hedley, both former OpenAI safety staff. The assessment focused narrowly on AI control, the practical machinery for keeping a capable system in check: logging, monitoring, blocking dangerous actions, the ability to shut a model down, evaluation, and containment. Across all six areas, GuideLight found these basics only partially implemented, even at the labs that scored highest. The takeaway is less about the letter grades than the gap they expose. As companies race to deploy increasingly autonomous systems, an outside group with insider knowledge is arguing that the guardrails everyone assumes exist are, so far, half-built. Expect these scorecards to become a recurring pressure point.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: GuideLight AI Standards · Published Saturday, August 22, 2026_

## Wortins' read

A new nonprofit called GuideLight has published what it bills as the first independent safety report card for frontier AI labs, and nobody did especially well. Anthropic and OpenAI tied at the top with a C+ (2.50 out of 5), followed by Google at D+, xAI at D-, and Meta at the bottom with a failing 0.67. The group was founded by Steven Adler and Page Hedley, both former OpenAI safety staff. The assessment focused narrowly on AI control, the practical machinery for keeping a capable system in check: logging, monitoring, blocking dangerous actions, the ability to shut a model down, evaluation, and containment. Across all six areas, GuideLight found these basics only partially implemented, even at the labs that scored highest. The takeaway is less about the letter grades than the gap they expose. As companies race to deploy increasingly autonomous systems, an outside group with insider knowledge is arguing that the guardrails everyone assumes exist are, so far, half-built. Expect these scorecards to become a recurring pressure point.

## Source

[Read the full story at GuideLight AI Standards](https://guidelight.ai/blog/control-assessment-august-2026)

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