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Anthropic’s Secret Plan to Manipulate AI Benchmarks and Boost Its Own Agenda

In a move that has raised eyebrows in the AI community, Anthropic has announced a new initiative to fund the development of benchmarks capable of evaluating the performance and impact of AI models – including its own generative model, Claude. But what’s really behind this program?

On the surface, it seems like a noble effort to elevate the field of AI safety by providing valuable tools to the ecosystem. But dig deeper, and you’ll find that Anthropic is seeking to create benchmarks that align with its own AI safety classifications, which some experts have criticized as being overly narrow and biased.

Anthropic wants to create benchmarks that assess a model’s ability to carry out cyberattacks, enhance weapons of mass destruction, and manipulate or deceive people – all in the name of "safety." But what’s really behind this push for more stringent benchmarks? Is it a genuine concern for AI safety, or is it a way to boost Anthropic’s own reputation and market share?

The company is seeking to fund projects that develop new tools, infrastructure, and methods for evaluating AI models, including those that assess a model’s ability to aid in scientific study, converse in multiple languages, and mitigate ingrained biases. But what’s the real motivation behind this effort? Is it to genuinely improve the field of AI, or is it to further Anthropic’s own commercial ambitions?

And what about the fact that Anthropic is seeking to develop an "early warning system" for identifying and assessing AI risks? What kind of risks is it looking to identify, and how will it use this system to its advantage?

The AI community is divided on Anthropic’s initiative, with some experts welcoming the effort to improve AI benchmarks, while others are skeptical of the company’s motives. The truth is, Anthropic’s loyalty ultimately lies with its shareholders, and its efforts to create better AI benchmarks may be nothing more than a way to boost its own reputation and market share.

The Sky is Falling Scenarios: A Distraction from Real AI Risks

Many experts have criticized Anthropic’s references to "catastrophic" and "deceptive" AI risks, like nuclear weapons risks. But what’s the real evidence behind these claims? Is it just a way to distract from the pressing AI regulatory issues of the day, like AI’s hallucinatory tendencies?

The truth is, there’s little evidence to suggest AI as we know it will gain world-ending, human-outsmarting capabilities anytime soon, if ever. Claims of imminent "superintelligence" serve only to draw attention away from the pressing AI regulatory issues of the day, like AI’s hallucinatory tendencies, and the need for more robust AI benchmarks that can accurately assess the risks and benefits of AI systems.

The Real Battle for AI Benchmarks

Anthropic’s initiative may be a welcome effort to improve AI benchmarks, but it’s just one part of a larger battle for AI benchmarks. The truth is, there are many open, corporate-unaffiliated efforts to create better AI benchmarks, and it remains to be seen whether those efforts are willing to join forces with an AI vendor whose loyalty ultimately lies with shareholders.

The real question is, what kind of benchmarks will emerge from this effort, and will they truly benefit the AI ecosystem, or will they be manipulated to serve Anthropic’s own interests? Only time will tell.



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