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Why AI-driven purchase intent so rarely becomes a completed sale
Presented by Rezolve AiWhen an AI assistant recommends a product or brand, it generates something valuable: a purchase-ready consumer with high intent and low friction in their decision. That consumer has already compared options, asked follow-up questions, and arrived at a conclusion. They want to buy.What they encounter next is a commerce infrastructure that was not designed for them.The gap between recommendation and purchaseThe typical enterprise commerce stack was built for a specific model: a consumer who arrives at a brand s website through search or a direct link, navigates product pages, adds to cart, and completes checkout through a multi-step form flow. That model assumed the consumer would do the work of bridging their intent to the transaction. Most commerce systems still assume exactly that.Agentic commerce breaks that assumption. When intent is generated outside the brand s owned environment, the handoff to transaction becomes a structural problem. Context doesn t transf
Apple Silicon and macOS VMs: 11–16× Faster LLM Inference with Llama.cpp
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‘Zoomsday’ hack uncovered using fewer than 20 AI prompts
Zoom has patched a major security vulnerability that could allow an attacker to hijack anyone's device during a meeting. In a blog post on Tuesday, researchers at A Security say they uncovered the flaw using "fewer than 20 prompts on publicly available AI models," as reported earlier by Wired. The exploit involved Zoom's annotation feature, which allows users to draw on their screen while sharing it with other meeting participants. With the exploit, an attacker could join or host a meeting and run malicious code on victims' devices, allowing them to steal data, turn on the camera or microphone, or install malware. The attack required no act … Read the full story at The Verge.
Mistral AI wants to build 1 gigawatt of European compute by 2030 — and lock in customers now.
Mistral AI wants to turn European AI sovereignty from a talking point into a product — one with a service-level agreement attached.The French artificial intelligence company announced Tuesday a three-part expansion of its infrastructure business: regional inference endpoints that let customers choose whether their AI workloads run in Europe or the United States, a new Priority Tier backed by an uptime guarantee for mission-critical deployments, and a coalition of European enterprises making multi-year compute commitments that Mistral says will underwrite 200 megawatts of infrastructure across Europe by the end of 2027 — and a full gigawatt by the end of 2030.In a move that may raise eyebrows among sovereignty purists, the company also said it will begin hosting third-party open models on its platform, starting with GLM-5.2 from Z.ai, the Chinese AI lab formerly known as Zhipu.Taken together, the announcements mark a decisive shift in how Mistral positions itself. The company that built
Why your Amazon order confirmation emails have become so unhelpful
Earlier this summer, Amazon customers began noticing that emails related to their online orders looked sparse: Order confirmation emails didn't name specific items anymore, and instead listed only item categories. "Your Beauty item is confirmed!" an email about my retainer cleaning tablets read. Shoppers have posted other iterations of the redacted emails as well: "Ordered: 1 Hardware item," "Your Drugstore, Shoes, and other items are here!" and "1 Nutrition Wellness, 1 Wireless Accessories," for example. The emails have clip art-style illustrations of general product categories, and a shopper has to exit their email and go to Amazon to … Read the full story at The Verge.
Stealing Reasoning Traces from Proprietary LLM APIs
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Spotify will label ‘AI Persona’ profiles and exclude their music from recommendations
Spotify is introducing “AI Persona” labels for artist profiles that represent AI-generated identities and will exclude their music from editorial, algorithmic, and personalized recommendations by default.
GuliKit’s new Switch controller features next-generation anti-drift thumbsticks
GuliKit announced its first wireless controller to use an improved version of the anti-drift tunneling magnetoresistance (TMR) thumbsticks featured in its budget-friendly ES Pro that debuted nearly a year ago. Available now for $49.99, the new GuliKit ES Max is more expensive than last year's $29.99 ES Pro, but still cheaper than Nintendo's Switch 2 Pro Controller, while offering more features and functionality without the risk of stick drift that plagued the original Switch. The TMR thumbsticks in the ES Max don't feature a complete reimagining of the technology but measure stick movement in a slightly different way that improves performa … Read the full story at The Verge.
Your AI agent may be ready. Your sales motion probably isn’t.
Presented by SalesforceInterested buyers don t generate revenue. Live customers do. That s the lesson I keep drawing from watching hundreds of ISV partnerships navigate the agent economy over the last 18 months.The companies pulling ahead aren t winning on features. They re winning because customers can move from discovery to live deployment in hours, while competitors are still negotiating contracts, clearing tax reviews, and waiting on provisioning.That gap between a buyer who says “yes” and a customer who is actually using the product is where too many deals lose momentum. Urgency fades. Champions move on. Competitors get another opening.Gutenburg saw that gap firsthand. Healthcare organizations valued its product, but sales cycles stretched 30 to 45 days. With custom pricing via AgentExchange, the company closed an urgent healthcare deal in just 48 hours.Not 48 days. 48 hours.The final contract phase alone dropped from 4 hours to 4 minutes. A 60x improvement.I see this pattern acro
What comes after the smartphone? Amazon’s Panos Panay will make his case at TechCrunch Disrupt 2026
At Disrupt 2026, Amazon's Panos Panay will provide an exclusive vision for what's in store for us beyond the smartphone.
The AI takeover of mathematics has begun
Mathematician James Maynard has spent a lot of time this past year "soul searching." A professor at the University of Oxford and winner of the prestigious Fields Medal, Maynard told The Verge he's been grappling with the future of his field as the traditionally slow-moving discipline hurries to adapt to AI. Days before we spoke, OpenAI revealed it had produced the solutions to 10 long-standing mathematics problems, some of which had confounded academics for decades. Like generative AI used to produce text and images or propose ideas in science and medicine, the technology learns patterns and connections from the vast amount of material it' … Read the full story at The Verge.
Antirez/h3.c: MiniMax H3 inference engine for Mac computers
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