Google is announcing a new Gemini model today, but it's not the long-awaited 3.5 Pro. Gemini 3.7 Flash is now rolling out to replace 3.6 Flash, which itself was released only three weeks ago. This new "workhorse" model is supposedly the product of core optimizations and developer feedback, offering improved coding and agentic performance. And Google is hoping to counter the lower cost of some competing models with a lower "introductory price" for 3.7 Flash.

According to Senior Director Tulsee Doshi, Gemini 3.7 Flash is noticeably better at coding than the previous Flash release. She cites a jump in the FrontierCode 1.1 Main test from 34.4 to 43.6 percent and DeepSWE v1.1 going from 49 to 65.3 percent. As for the vibes, Gemini 3.7 Flash's WebDev Arena score has risen to 1,588 from 1,538.

People turning to Gemini and hoping it will "know" things may also see modest improvements in Gemini 3.7 Flash. The GDP.pdf benchmark, which measures how well a model can process complex documents, has gone up to 34 percent versus 22 percent with 3.6 Flash. AutomationBench tests how well models can execute common business workflows, and Gemini 3.7 Flash rose to 30.4 percent from 3.6's 17 percent score.

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Anthropic has revealed that it will soon watermark content that is processed (not just generated!) by any of its models. In a support article, Anthropic explained that it was rolling out machine-readable watermarks to comply with the European Union’s AI Act, which requires all AI system providers to watermark AI-generated or manipulated audio, image, text, and video outputs. The law applies to any AI model released after August 2 and provides a grace period until December 2026 for providers to update previously released models.

Anthropic confirmed that moving forward, all new models offered globally—not just in the EU—will mark AI-generated content “from day one.” Text outputs will “carry embedded watermarks,” invisible to the user, and other “generated files will include digitally signed provenance metadata where supported,” Anthropic said.

Notably, Anthropic is deploying a "nuke it from orbit" approach, applying the watermarks to all processed content where supported, even though the EU does not require it for cases where an AI system performs "an assistive function for standard editing" (the guidance's own example is grammar correction), or where it doesn't "substantially alter" the user's text or its meaning.

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Google has been all-in with Gemini for the last several years, and despite some animosity online, the bet is paying off. CEO Sundar Pichai announced today that Gemini has reached 1 billion monthly active users (MAUs), an important milestone for any Google product. While 13 other Google products have managed that feat, Gemini has done it faster than any other.

Gemini has wormed its way into virtually every Google product and service, powering email organization in Gmail, document summary in Drive, and much more. Gemini is also core to Google's flagship search experience, with AI Mode and AI Overviews becoming increasingly hard to avoid. The 1 billion-user metric has nothing to do with any of that, though.

These 1 billion users may also be encountering Gemini in all those places, but that's not the MAU metric. Pichai is talking only about people who are opening the Gemini app or visiting the Gemini web interface to enter a prompt or access Gemini Live. If you used Gemini only once in the past month, you are part of this cohort.

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The Internet is awash in AI content, and it's not always easy to tell it apart from genuine human creations. While images and videos are perhaps the most obvious type of AI slop, streaming music services like Spotify are also being inundated with AI-generated tunes. Suno is one of the most prolific sources of this AI music, but the company now says it's looking to clean up its act with watermarks and policy changes.

In a blog post announcing the plans, Suno CEO and co-founder Mikey Shulman says this is a necessary change to meet "emerging industry standards" for the labeling of AI content. Soon, the company will add watermarks to all audio outputs from its models, giving platforms the option to mark content as AI or block it entirely. Shulman doesn't say if Suno will rely on an in-house solution or a ready-made solution like Google's SynthID.

Google recently began licensing SynthID to other companies. Google says the tech has been used to label 60,000 years' worth of audio generated by its Gemini models, plus more than 100 billion images and videos.

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Routine cybersecurity testing of frontier AI models sparked a series of unexpected security incidents—the most serious case arising when Anthropic’s Mythos 5 model attempted to insert malicious code into an open source software application and created fake identities to deceive the human developers maintaining the project.

The security incidents occurred during a cyber evaluation of seven leading AI models’ capabilities by the AI Security Institute (AISI), a research organization within the UK government, in late July. The researchers discovered 19 instances in which “AI agents took unsanctioned action on the live Internet, including cases that targeted real people and organizations,” according to an AISI blog post published on August 4.

Almost all the “autonomous, unsanctioned” actions came from Anthropic’s Mythos 5 model, with two such actions coming from OpenAI’s GPT-5.6 Sol. The AI Security Institute’s security team first realized that something was amiss on the morning of July 28, when its commercial security monitoring service flagged data leaving one of the testing systems through the Tor anonymity network.

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Google got a slow start with generative AI after seemingly being caught flat-footed by Microsoft's Copilot reveal. What a difference a few years make. Now, Google is at the forefront of AI development (for better or worse), but new cracks are beginning to show. The company's string of high-profile personnel departures continues, and DeepMind CEO Demis Hassabis has now said he will hand off day-to-day responsibilities to take on an oversight role at parent company Alphabet.

Hassabis was one of the founders of DeepMind, and he maintained a key leadership role after Google acquired it. As the generative AI boom took off, Hassabis has been one of the loudest voices predicting the impending creation of artificial general intelligence (AGI), which is typically described as an AI with human-like capabilities and intelligence.

In his memo announcing his decision to leave DeepMind, Hassabis again leans on the promise of AGI. "I've been working towards AGI my whole life and now, like many of you, I feel it is close at hand," said Hassabis.

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One of the first schools to shut down after students were found making AI nudes of female classmates is now asking a court to toss a lawsuit filed by victims who claimed that the school stayed silent for months while the emboldened boys targeted many more girls.

In a motion to dismiss this week, Lancaster Country Day School (LCDS)—a private K-12 school in Pennsylvania with fewer than 600 students—argued that it was false to say the school never reported the harm to law enforcement. The tip that the school received came from the Pennsylvania Office of the Attorney General, which is itself a law enforcement agency, the filing said.

It’s also false to say the school knew that girls were being targeted, the school argued, because the tip did not mention any specific student victims.

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