Google's new AI image verification for Gemini isn't the content police everyone expects. The real story is about creating a new layer of digital provenance that changes how we trust information, not just flagging what's fake.
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When an AI reportedly solved Erdős problem #728, the mathematical world celebrated. The truth reveals a more complex reality about what we're actually teaching machines—and what they're teaching us about the limits of symbolic reasoning.
Silicon Valley's latest attempt to revolutionize healthcare involves chatbots that can't tell a migraine from a typo. While doctors see potential for AI in administrative and diagnostic support, they're questioning whether 'talk to our AI about your chest pain' represents medical progress or just another way to avoid hiring more staff.
Signal's founder is back, this time aiming his cryptographic cannons at the AI gold rush. Confer promises 'private inference'—keeping your weird AI chats between you, your device, and the void. In an industry built on data extraction, this is either a revolutionary act or a beautifully architected niche for paranoids.
A new experimental platform called Quack is streaming Wikipedia articles into a TikTok-style feed, but the real story is under the hood. It represents a radical shift toward a fully generative web, where every pixel and interaction is created just-in-time by AI, challenging our fundamental assumptions about how applications are built and delivered.
A new open-source tool called Pythagora is automating the entire software testing process for Node.js applications. By leveraging large language models, it generates comprehensive test suites without requiring developers to write a single line of test code, potentially saving hundreds of engineering hours.
Replicate's acquisition by Cloudflare isn't just another tech merger—it's a fundamental shift in how developers will access AI. By moving inference from isolated containers to the network edge, this deal promises to make running models faster, cheaper, and radically simpler.
DeepDream's mesmerizing AI hallucinations have captivated audiences for years, but applying them to video has always produced jarring, flickering results. Now, an open source project using optical flow and occlusion masking delivers the first temporally consistent DeepDream videos.
Groundbreaking research reveals that analyzing Large Language Models' internal representations can predict tool-selection hallucinations with unprecedented accuracy. This discovery could transform how enterprises deploy AI agents in production systems by preventing costly errors and security bypasses.
A provocative new analysis claims the fundamental architecture behind sophisticated AI assistants like Claude can be distilled into just 200 lines of Python. This minimalist implementation challenges assumptions about what makes modern AI systems valuable and reveals surprising truths about where the real complexity lies.
For two weeks, X has been inundated with non-consensual AI-generated nude images created through the Grok chatbot. Now, governments worldwide are mobilizing with unprecedented urgency to address this digital violation, signaling a major shift in how platforms will be held accountable.
The pendulum has swung from 'AI will solve everything' to 'AI is literally Skynet,' and both positions are equally ridiculous. Here's why the anti-AI hype machine is just as intellectually bankrupt as the pro-AI hype machine it claims to oppose, and how to navigate the noise without losing your sanity or your job.
A new website pits AI models against each other in Texas Hold'em poker, revealing which ones can bluff, which ones play like your conservative aunt, and which ones would bankrupt themselves trying to calculate the perfect move. The results are exactly as absurd as you'd expect from language models pretending to understand human deception.