OpenAI is facing calls for "serious sanctions" after fighting to keep news organizations from snooping through millions of logs to find evidence of users skirting their paywalls by prompting ChatGPT to regurgitate their articles.

This evidence is considered among the most important to both sides, potentially either dooming OpenAI as an infringer or exonerating its chatbot technology as a transformative fair use of news sites' content.

In a sanctions motion Thursday, news organizations suing OpenAI—led by The New York Times—accused the AI firm of repeatedly lying for years to conceal evidence of infringement that could hobble OpenAI's defense.

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One of the most horrific cases of allegedly Grok-generated child sex images was shared in a proposed class action lawsuit that was expanded Tuesday. Now, young girls not only accuse X and xAI of building toxic AI "nudify" tools but also of shielding child predators by obstructing police investigations into Grok-generated child sex abuse materials (CSAM).

In March, a girl’s stepfather took his own life after cops discovered that he had used Grok to create 7,000 sexually explicit images using one photo taken when his stepdaughter was 11 years old, the amended complaint alleged.

Grok allowed the man to generate extreme images depicting incest and rape without flagging any harmful behavior, the complaint said. Seemingly, xAI’s child safety system only intervened after the man input a prompt for “gang rape.” That request sent a CyberTip to the National Center for Missing and Exploited Children (NCMEC), which alerted law enforcement to the AI CSAM.

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There are plenty of AI image-generation models these days, but the ones capable of quality outputs tend to be slow and expensive. Google DeepMind says its new image model, known as Nano Banana 2 Lite, offers the best balance of quality and speed. It's available today across the Google ecosystem, creating images in a fraction of the time it takes Google's beefier models.

The new model is part of the Gemini 3.1 family—it's technically called Gemini 3.1 Flash Lite Image. On one hand, Google says this model is ideal for exploring ideas and "rapid-fire" prototyping, applications in which quality can take a backseat. However, the company has also provided some examples aimed at showing how close Nano Banana 2 Lite can get to the quality of its other image models.

A comparison of Nano Banana 2 Lite with the non-Lite version. Credit: Google

In addition to the examples, Google also has Elo scores from Arena.ai ready to go, showing that users rate Nano Banana 2 Lite outputs almost as highly as the non-Lite versions. However, vibemarking doesn't always focus on the details that can make AI images look silly upon closer inspection. Google notes that Nano Banana 2 Lite tends to have more trouble with text, particularly if it's very small, and infographics are more likely to include incorrect data. Characters and people may also show poor consistency across iterations.

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