Doug Kreuzkamp was shocked when news outlets reported that Google won an auction to buy a huge amount of operational data as part of Spirit Airlines’ bankruptcy proceedings.

Kreuzkamp founded a startup called Springshot in 2011, which created a widely used proprietary platform that helps humans and AI systems improve airline efficiency and quickly solve logistics problems so flights can stay on time and airlines can operate as smoothly as possible. Hundreds of airports use it globally.

Springshot powered Spirit’s technology stack for the last three years, right up to the “very last flight,” Kreuzkamp told Ars. Yet his company got no notice when Spirit prepared to auction off a massive dataset that he thinks likely improperly includes a substantial amount of data and intellectual property (IP) that Springshot owns—not Spirit.

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The United States has now named six Chinese AI firms accused of waging industrial-scale attacks distilling US frontier AI model capabilities and perhaps sparing billions in Chinese development costs.

In a joint release Tuesday, the National Security Agency (NSA), Cybersecurity and Infrastructure Security Agency (CISA), and Federal Bureau of Investigation (FBI) alleged that DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI have been attacking US models since at least late 2024. The firms “likely” acted with “Chinese government awareness” when extracting capabilities from US models, including variants of Claude, GPT, Gemini, and Grok, agencies said.

“China-based AI companies that conduct industrial-scale distillation against US AI models see significantly shorter AI development timelines and reduced financial expenditures in training a frontier model,” agencies said.

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Google hasn't released a frontier-level Gemini Pro AI model since early 2026, but it sure loves rolling out new Gemini Flash variants. Today, Google is announcing its third Flash model release in just six weeks, making it more likely that we'll never see the promised Gemini 3.5 Pro. But no matter, says Google, because Gemini 3.8 Flash is its best reasoning and coding model yet.

Gemini 3.8 Flash comes in two variations. There's the standard Flash, which Google describes as a "workhorse" model that's good for anything from agentic tasks to software development. Then we have Gemini 3.8 Flash Cyber, which runs on the same foundations but has been tuned for vulnerability detection and mitigation.

For developers, Google has the same pitch as it did for the 3.7 Flash release just a couple of weeks ago. API access to the model is available at an "introductory rate" through the end of the year: $0.75 per million input tokens and $3.75 per million output tokens. The regular price will be $1.50 / $7.50, but it's likely there will be new models available long before the price changes. Google probably sees the lower prices as a necessity given that other AI labs have recently dropped token pricing to keep increasingly wary businesses engaged with AI tools.

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While we wait (possibly in vain) for Gemini 3.5 Pro to launch, Google is releasing a different model in the 3.5 branch. The company has announced Gemini 3.5 Transcribe, an AI model designed to streamline voice input by editing out "ums" and corrections, outputting polished AI text. This model already powers the Gboard "Rambler" feature on the Pixel 11, but it's about to appear throughout the Google ecosystem.

According to Google, Gemini 3.5 Transcribe is much faster and more accurate than its previous voice-to-text engine, known as Chirp 3. The new AI model should be about 70 percent faster from voice to final transcribed text, and the live-speech error rate has dropped to 5.5 percent. That's only a little better than Chirp 3, which Google measures at 7.32 percent. Still, it's a pain to fix typos when you're using voice input, so any improvement here is beneficial.

Credit: Google

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