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Submission + - Can We Trick/Get AI Labs to Benchmaxx Fighting Health Insurance Denials? (fighthealthinsurance.com)

Submitted by Anonymous Coward
An anonymous reader writes: Many AI labs have gotten a little too good at benchmaxxing, but all the benchmaxxing is just making tools to make questionable Python scripts slightly faster.

But what if we could redirect some of that benchmark-chasing toward problems that actually make people's lives better?

We're building a new benchmark focused on appealing health insurance denials. The idea is pretty simple: if AI labs are going to compete for leaderboard points anyway, let's give them a reason to build models that are better at helping people navigate bureaucracy.

We'd love some help evaluating the results, especially from folks who enjoy poking holes in AI benchmarks.

Submission + - Mistral CEO Says US AI Safety Debate Masks Competitors' 'Negligence' (cnbc.com)

Submitted by Anonymous Coward
An anonymous reader writes: Mistral Chief Executive Arthur Mensch has accused leading global artificial intelligence companies of using the debate over the safety of the technology as a cover-up for their “negligence." “The debate that we’ve seen in the U.S. has been a cover for the negligence of some of our competitors,” Mensch told CNBC’s Annette Weisbach, adding that it was necessary to make systems that can contain the AI agents. [...] “When you give them a lot of tools, those systems [AI agents] are very dynamic, so they can go and do things that you do not expect,” Mensch told CNBC. “You need to have the right monitoring in place, and the enterprises we work with, we give them those kind of monitoring systems,” he said.

Mistral also develops AI models but takes a different approach to OpenAI and Anthropic by working with individual companies to create custom AI tools to suit their needs and integrate them with their businesses. But unlike its competitors, Mistral has no plans to slow down development of advanced models. The lead that U.S. labs have is “not extremely large,” Mensch said, adding that his company was confident that its next-generation model will close the gap “very significantly.”

“We have been raising the capital needed to scale the compute that we need to train bigger and more powerful models, in order for us to own our own destiny,” he said. Earlier this month, Mistral raised 3 billion euros ($3.5 billion) in fresh funding led by memory chip giant Samsung, as it looks to position itself as a European alternative to rivals like OpenAI and Anthropic.

Submission + - Yet Another AI Security OSS Externality (holdenkarau.com)

Submitted by Anonymous Coward
An anonymous reader writes: With all the news of the AI models hacking different companies, the flood of "helpful" AI security reports is another tax that the frontier labs are placing on OSS. Holden writes about her experience dealing with a frontier AI lab's security reports during the Apache Spark 3.5.9/4.0.4/and 4.1.3 releases and how the inflexibility of the labs almost caused them to have to ship with known security issues (while the OSS accounts from one lab kept triggering safe guards during the release process).

Submission + - OSS AI Tool for Fighting Back Against Health Insurance Denials (sfstandard.com)

Submitted by mirro_dude
mirro_dude writes: The SF standard has an article about a new AI tool for fighting back against health insurance denials.

She began helping friends file appeals, too, then asked herself a question that’s typical for engineers: Could she figure out a way to automate the process? After a year of tinkering, she just launched her answer: Fight Health Insurance, an open-source platform that takes advantage of large language models to help users generate health insurance appeals with AI.

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