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It’s not fancy, but it gets the job done for hours and hours on a single charge. Despite what influencers may say, you don’t need to spend $99.99 on Dyson’s HushJet Mini Cool or $149.99 for the Shark ChillPill to survive the summer whenever you leave the comfort of air-conditioning. My family has found all the comfort it needs to survive humid baseball games, sweltering concerts, and sweaty hikes with a couple of affordable handheld fans from a Chinese company called JisuLife that has spent the past decade honing its hardware. At the start of the summer, I impulse-purchased a pair of JisuLife Life10 S fans from Costco, which at CDN $25 each (or $32.99 through Amazon), are among the most basic offerings from the company. JisuLife’s extensive lineup includes some fan models costing close to $100 with features like reverse-charging to power your phone and 100 different speed settings. I want all those features, but my goal was to not spend several hundred dollars on personal cooling devic
Over the last few months, I've spent a lot of time talking to my computer. One underrated feature of the LLM revolution has been a remarkable leap in all kinds of dictation technology - even the fastest, cheapest models are getting very good at understanding and processing speech. I've tested lots of these apps, from WisprFlow to Monologue to Spokenly to Handy to so many others, and have found them all to be useful ways to quickly write emails, Slack messages, and more. They sometimes default to giving everything a too-formal style of formatting and love ending a text message with a period (like a sociopath), but they're getting better at th … Read the full story at The Verge.
The Model Context Protocol, the open standard that has quietly become the connective tissue between AI agents and the world s software, is getting its largest update since Anthropic released it twenty months ago — a sweeping architectural revision that its maintainers and backers say finally makes agentic AI ready for massive enterprise production deployments.The update, released today under the stewardship of the Agentic AI Foundation (AAIF), a directed fund under the Linux Foundation, finalizes MCP s transition to a fully stateless architecture, hardens its authentication model against a known class of attacks, establishes a formal 12-month deprecation policy, and graduates two headline capabilities — interactive server-rendered interfaces and long-running asynchronous tasks — into official protocol extensions.The changes may sound arcane. Their consequences are anything but. According to the announcement, running MCP at scale has historically required sticky routing or shared state
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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.
Chinese AI startup Moonshot AI, creators of the increasingly famous Kimi K family of powerful, open AI models, today released the full weights for its largest and most performant version yet — Kimi K3. But enterprises evaluating the model should read the attached custom Kimi K3 usage license as carefully as the benchmark charts.VentureBeat previously covered Kimi K3 when it debuted through Moonshot s hosted API earlier this month, including its 2.8 trillion-parameter architecture, one million-token context window and frontier benchmark performance. Today s announcement completes that rollout with the release of the full model weights, a 47-page technical report documenting its training innovations and obstacles, and much of the infrastructure required to run the model independently.That includes the complete 2.8 trillion-parameter Mixture-of-Experts model, inference infrastructure, optimized attention kernels, MoE communication libraries and deployment components aimed at researchers a
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Anthropic founder and CEO Dario Amodei made his views clear about open-weight models and China's growing AI capabilities.
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