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For more than two decades, digital discovery has operated on a simple model: search, scan, click, decide. That worked when humans were the ones doing the web searching; but with the advent of AI agents, the primary consumer of information is no longer always human.This is giving rise to a new paradigm: Answer engine optimization (AEO), also referred to as generative engine optimization (GEO). Because agents look at data much differently than humans do, success is no longer defined by rankings and clicks, bu
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VentureBeat
An East Bay apartment complex has been bought at a price that's well below its prior value. Read more ›
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A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more ›
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Minor Hotels is in the final planning phases of a private jet experience under its Anantara luxury brand, with a launch targeted for 2027, Ian Di Tullio, the company’s chief commercial officer told Skift exclusively on Wednesday. Di Tullio said the company is “looking at jets” as part of a broader effort to offer travelers […] Read more ›
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The Xiaomi 17T was recently certified in Brazil, and it's also been spotted in the Geekbench database. Today a new leak purports to bring us its full specs - as well as those of the 17T Pro. So buckle up, as this is a big one. The Xiaomi 17T is said to have a 6.59-inch AMOLED screen with 1268x2756 resolution and a 120Hz refresh rate, the MediaTek Dimensity 8500 Ultra... Read more ›
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Reading question-returning as deflection misses the point. It's a defensive system built in childhood — the brain's way of staying in control of a conversation that used to be unsafe to be the subject of. Read more ›
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Kids and retirees are vibe coding with AI tools. Meet the unlikely users redefining who can build with AI. Read more ›
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Rei Onoda bought a $50,000 abandoned home in rural Japan while pregnant — she and her husband quit their jobs. Read more ›
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Charles Yang spent 10 years building startups in China, then 10 in the US. Here's what he learned about the two systems. Read more ›
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Red Lobster once blamed its blockbuster Endless Shrimp deal for its downfall. Now the all-you-can-eat promo is back — but the vibe is different. Read more ›
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Rising memory costs and Donald Trump’s pressure to invest in US manufacturing will force tough early calls Read more ›
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Technological advances have propelled self-driving cars from small-scale testing to rapid global expansion Read more ›
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SK Hynix and Samsung say customers now want long-term contracts to guarantee supplies amid acute shortages Read more ›
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Founder Taylor James launched the two-sided platform late last year to give independent venues an alternative to traditional advertising — connecting them with more than 350 vetted local content creators. Read more ›
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Founder Taylor James launched the two-sided platform late last year to give independent venues an alternative to traditional advertising — connecting them with more than 350 vetted local content creators. Read more ›
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The Toyota Tundra and Tacoma are known for retaining their value quite well, but one of these two Toyota pickups has a slight disadvantage here. Read more ›
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VentureBeat
Enterprise data stacks were built for humans running scheduled queries. As AI agents increasingly act autonomously on behalf of businesses around the clock, that architecture is breaking down — and vendors are racing to rebuild it. Google's answer, announced at Cloud Next on Wednesday, is the Agentic Data Cloud.The architecture has three pillars:Knowledge Catalog. Automates semantic metadata curation, inferring business logic from query logs without manual data steward interventionCross-cloud lakehouse.... Read more ›
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Cirrascale Cloud Services today announced it has expanded its partnership with Google Cloud to deliver the Gemini model on-premises through Google Distributed Cloud, making it the first neocloud provider to offer Google's most advanced AI model as a fully private, disconnected appliance. The announcement, timed to coincide with Google Cloud Next 2026 in Las Vegas, addresses a stubborn problem that has plagued regulated industries since the generative AI boom began:... Read more ›
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When startup fundraising platform VentureCrowd began deploying AI coding agents, they saw the same gains as other enterprises: they cut the front-end development cycle by 90% in some projects.However, it didn’t come easy or without a lot of trial and error. VentureCrowd’s first challenge revolved around data and context quality, since Diego Mogollon, chief product officer at VentureCrowd, told VentureBeat that “agents reason against whatever data they can access at... Read more ›
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Every frontier AI lab right now is rationing two things: electricity and compute. Most of them buy their compute for model training from the same supplier, at the steep gross margins that have turned Nvidia into one of the most valuable companies in the world. Google does not.On Tuesday night, inside a private gathering at F1 Plaza in Las Vegas, Google previewed its eighth-generation Tensor Processing Units. The pitch: two... Read more ›
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In a significant shift toward local-first privacy infrastructure, OpenAI has released Privacy Filter, a specialized open-source model designed to detect and redact personally identifiable information (PII) before it ever reaches a cloud-based server. Launched today on AI code sharing community Hugging Face under a permissive Apache 2.0 license, the tool addresses a growing industry bottleneck: the risk of sensitive data "leaking" into training sets or being exposed during high-throughput inference.By... Read more ›
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Enterprise teams building multi-agent AI systems may be paying a compute premium for gains that don't hold up under equal-budget conditions. New Stanford University research finds that single-agent systems match or outperform multi-agent architectures on complex reasoning tasks when both are given the same thinking token budget.However, multi-agent systems come with the added baggage of computational overhead. Because they typically use longer reasoning traces and multiple interactions, it is often... Read more ›
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The era of enterprises stitching together prompt chains and shadow agents is nearing its end as more options for orchestrating complex multi-agent systems emerge. As organizations move AI agents into production, the question remains: "how will we manage them?"Google and Amazon Web Services offer fundamentally different answers, illustrating a split in the AI stack. Google’s approach is to run agentic management on the system layer, while AWS’s harness method sets... Read more ›
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OpenAI introduced a new paradigm and product today that is likely to have huge implications for enterprises seeking to adopt and control fleets of AI agent workers.Called "Workspace Agents," OpenAI's new offering essentially allows users on its ChatGPT Business ($20 per user per month) and variably priced Enterprise, Edu and Teachers subscription plans to design or select from pre-existing agent templates that can take on work tasks across third-party apps... Read more ›
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For the past eighteen months, the corporate world has been obsessed with the "builder" phase of the generative AI revolution. Enterprises have raced to deploy autonomous agents to handle everything from customer support to complex codebase refactoring. However, as these digital workers proliferate, a new, more structural problem has emerged: fragmentation. Agents built on LangChain cannot easily hand off tasks to those built on CrewAI; a Salesforce-embedded agent has no... Read more ›
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After months of rumors and reports that OpenAI was developing a new, more powerful AI large language model for use in ChatGPT and through its application programming interface (API), allegedly codenamed "Spud" internally, the company has today unveiled its latest offering under the more formal name GPT-5.5.And to likely no one's surprise, it's hardly a "potato" in the disparaging sense of the word: GPT-5.5 retakes the lead for OpenAI in... Read more ›
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29.04.2026 00:32
Last update: 00:25 EDT.
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