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OpsCat: A zero-config, single-binary software catalog and interactive dependency graph engine that natively feeds platform context to AI Continue reading on Medium »
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Believe it or not it s real. AI is absolutely going crazy.Continue reading on Medium »
A small group of popular library workshops may reveal a useful signal for AI product designers.Continue reading on Medium »
The soft robotic model of the human heart, developed at UNSW. Credit: UNSW/Richard Freeman. UNSW researchers have developed a soft robotic model of the human heart that can mimic disease and provide a realistic environment for testing the next generation of cardiac devices. Researchers at UNSW Sydney have developed a fully synthetic soft robotic heart [ ]
Hugging Face isn’t doing much to prevent the AI models it hosts from spitting out sexualized deepfakes. | Image: Cath Virginia / The Verge | Photos from Getty Images Hugging Face is being used to make nonconsensual deepfakes, and the popular open-source AI model repository is doing very little to prevent it. That's according to a new report published by the European nonprofit AI Forensics, which found that seven out of the top nine image editing models hosted by Hugging Face readily complied with requests to undress women using simple prompts. While most mainstream generative AI models like Google's Gemini and OpenAI's ChatGPT have guardrails in place to block prompts that undress or sexualize people, that seemingly isn't the case for the models on Hugging Face tested by AI Forensics. The nonprofit says … Read the full story at The Verge.
Baidu's Apollo Go autonomous vehicles will be available on Freenow, the mobility network that Lyft acquired in 2025.
Discover why AI Agents work so effectively, how they make intelligent decisions, and why businesses are adopting AI Agent Development to Continue reading on Medium »
Most run a big LLM locally posts stop at it worked, here s the tokens/sec. This one doesn t. I hit a real crash, root-caused it, and Continue reading on Medium »
AI-agent development has progressed through overlapping phases: prompt engineering, context engineering, tool use, autonomous loops, memory systems, and multi-agent coordination. A newer focus is graph engineering, which treats AI applications as explicitly designed workflows rather than a single autonomous agent. Graph engineering defines how agents, tools, deterministic functions, validators, data sources, and humans coordinate to [ ] The post Graph Engineering for AI Agents: Beyond the Single-Agent Loop appeared first on Analytics Vidhya.
800 guests, 6,000 photos, and one QR code. Here is how Indian couples are delivering wedding photos in 2026.Continue reading on Medium »