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Tested: Google SynthID works great, but labeling AI content may be a losing game

ai, AI (Artificial Intelligence), AI & Machine Learning, AI & ML, AI & Society, AI 2025 trends

The scale of AI-generated media can be hard to grasp. Starling Lab, a research collaboration from Stanford University and the University of Southern California, estimates that it took until 1975—149 years after the invention of the camera—for humanity to create 1.5 billion images. It took generative AI just 18 months to do the same. And

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Brad Bernstein is managing partner at FTV Capital

The Sweet Science: Why The AI Era Belongs To Middleweights 

ai, AI (Artificial Intelligence), AI & Machine Learning, AI & ML, AI & Society, AI 2025 trends

By Brad Bernstein Think of the most famous boxers you know, likely the heavyweights: Muhammad Ali, Joe Louis, Mike Tyson. In a clash between titans, the advantages seem easy to understand, since the bigger fighter looks like the stronger one. But size alone is not a strategy. Sugar Ray Robinson was a middleweight, not a

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5 AI award categories that every AI-innovation platform should nominate themselves in

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Artificial intelligence is transforming industries with independent reasoning and complex workflow orchestration. New AI products are driving innovation and redefining future possibilities for businesses. These advancements span agentic systems, enterprise productivity, and customer experience enhancements. Healthcare and life sciences also benefit from intelligent insights and automation. Recognizing these innovations highlights technologies shaping the next chapter

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OpenAI report links coding agents to faster science software builds

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OpenAI has released a new field report tracking eight scientific computing projects where coding agents cut runtimes. The report documents projects that used Codex on its own in five cases and a combination of Codex and Anthropic’s Claude Code in three others. Worth flagging upfront: this is a vendor publishing a survey of its own

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What the Hell Is a Loop, Anyway?

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The following article originally appeared on LinkedIn and is being republished here with the author’s permission. We’re currently at the peak of the hype cycle. On June 7, Peter Steinberger posted that you shouldn’t be prompting coding agents anymore; you should be designing loops that prompt your agents. That same week, Boris Cherny of Anthropic

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