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Integrated BagLev hooks keep Peak Design’s City Line crossbody bag and backpack off the dirty ground. | Photo by Thomas Ricker / The Verge It's just a hook, sewn into a bag, but I really, really like it. Peak Design is so proud of its clever integration that the San Francisco-based maker of camera gear gave it a name: BagLev, for its ability to keep its new City Line of bags levitated above the dirty ground. How many of us are guilty of coming home and tossing a bag onto the kitchen table or counter to unload it? We pretend it's not a thing, despite the carryall having come into contact with unknown filth picked up from the floors of subways and dive bars, sidewalks, and parks. BagLev lets you hang your bag off a chair, ledge, tabletop, or counter as you go about your day, kee … Read the full story at The Verge.
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According to the Financial Times, OpenAI disbanded its preparedness team at the end of last month. The job of the preparedness team was to assess if models posed serious risks and develop ways to mitigate those risks. (You know, like the possibility that it could go rogue and hack another company.) According to FT, responsibility has instead been divided up for specific areas like bio and cyber, then moved into existing teams. This is the latest change at the company, which has been in upheaval as it heads towards what is expected to be a massive IPO. Over the last few years, it's slowly torn down its more reach-led model, dissolving its AG … Read the full story at The Verge.
OpenRouter's CEO recently described the startup as Stripe for AI.
Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case straight to the language model and trust the retrieved context to sort it out. This works fine in a demo. It falls apart the moment the system has to survive an audit, a regulator, or a compliance officer asking why a specific decision was made six months ago.I have spent the last year building RAG based classification systems in regulated enterprise settings, where the cost of a wrong answer is not a bad chatbot reply. A decision has to hold up to scrutiny long after the model produced it. This environment forces a different design philosophy than most AI engineering content assumes. Here is what changes when you cannot afford to be probabilistic about everything, and how a cascade architecture solves it.The invisible cost of an all LLM pipeline The appeal of routing everything through a large language model (LLM) is obvious: Fewer
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On the latest episode of Equity podcast, we discuss why not everyone is buying Zuckerberg’s vision.
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On Friday, Amazon customers received an email alerting them to an update to the site's terms and conditions. Most notably, it stated that disputes would now be resolved through arbitration and said users agree to a class action waiver. Amazon framed this as a "fast and efficient" way to resolve issues, but it notably would prevent customers from seeking the involvement of a judge or jury in most circumstances. Customers can still take Amazon to small claims court in certain circumstances, though payouts are often limited to a few thousand dollars. The relevant sections of Amazon's legal policies page now read: YOU AND WE AGREE THAT ANY … Read the full story at The Verge.
Dario Amodei is pushing back against the idea that he's been painting an overly pessimistic picture of AI.