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GenAI image generators like Stable Diffusion do not draw a picture pixel by pixel from left to right. They start with noise and iteratively refine the entire image in parallel until it converges, in a process known as diffusion. For years, applying that same principle to text generation had remained out of reach at scale.Standard language models work like a typewriter: one token at a time, left to right, with no ability to revise a committed output. That pattern works in the cloud, where batch sizes keep GP
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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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Platforms like YouTube and TikTok are navigating the fine line between a fine line between embracing AI and low-quality, machine-generated content. Read more ›
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RTO mandates cite ad-hoc worker collaboration, but workers seem to be turning to AI to answer their questions instead. Read more ›
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The company reportedly plans to team up with Klarna, turning the rising cost of its hardware into another monthly bill. Read more ›
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Who says software is dead? Jack Dorsey’s Block today unveiled a new “collaboration workspace”—software people can use to communicate and work together—which Dorsey says aims to reduce “our dependency on Slack and GitHub.” That’s a bit of a provocative statement from Dorsey, who also co-founded Twitter and therefore knows a thing or two about communication platforms (even if he was a dismal CEO of Twitter).  Known as Buzz, the new... Read more ›
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It was reportedly an evaluation that went haywire involving GPT-5.6 Sol, along with another even more advanced OpenAI model. Read more ›
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NASA researchers also tested out the Psyche spacecraft’s other instruments to make sure they were working. Read more ›
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A new bill would ban phone calls on flights. Former flight attendants say it would be good for passengers and crew. Read more ›
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Nintendo argues in a court filing that customers willingly paid the higher prices for consoles and accessories, and aren’t owed any money back. Read more ›
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Anthropic today said Claude Code for desktop has been updated to work with the iOS Simulator, with the integration available in public beta. Claude Code can open in-progress apps in the iOS Simulator pane when it's instructed to build, run, or check an app. Claude can watch the iOS Simulator live as it runs, interact with it, and then iterate until a project is finished. Developers can continue to use... Read more ›
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Working on tight automotive or DIY projects? Discover the five best mini Pittsburgh tools at Harbor Freight that deliver huge utility for pennies. Read more ›
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Unlike similar screen-free wearables, no subscription is required. Read more ›
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Today Google is launching its newest Gemini models. Gemini 3.6 Flash is described by the company as its "workhorse model that delivers better coding, knowledge work, and multimodal performance". It's supposed to be more efficient and better quality than its predecessor. Google boasts that customers "have found it particularly capable at multimodal tasks like document parsing, chart and data analysis, and report drafting". Gemini 3.5 Flash-Lite is "designed for both... Read more ›
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Before we get to today’s column, check out our story from earlier today about Mercor. My colleague Cory and I reported that Mercor generated $614 million in gross revenue in the first half of this year, overwhelmingly from AI foundation model customers. That concentration highlights the risk to Mercor’s business if any of the big AI firms, which include OpenAI and Anthropic, switch to a rival.Of course, Mercor’s co-founders are... Read more ›
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For companies in the life sciences industry, medical communications is a core pillar for sharing clinical trial updates and connecting with peers. Because these materials require strict accuracy and academic rigor, biopharma companies have historically relied on specialized external agencies. This traditional approach guarantees expert messaging but often results in slow turnaround times and high ... Read more ›
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French startup Celeste Ecoflyers is developing an inflatable drone capable of 10-hour flights, a 500-mile range, and compact transport inside cars. Read more ›
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Adam Candeub authored a Project 2025 chapter calling for a sweeping shake-up of US competition enforcement Read more ›
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It’s “the most car-like Range Rover ever created,” but will this all-electric grand tourer spoil Jaguar’s Type 01 party? Read more ›
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VentureBeat
Organizations need to transform to meet the needs of agentic AI.Meta VP of Engineering Barak Yagour opened his talk at VB Transform 2026 wearing a pair of Ray-Ban Meta AI glasses, a small sign of how far AI has already worked its way into physical life. His argument went further: enterprise infrastructure was built for humans, not for agents, and it's starting to show.Yagour, who leads its data infrastructure organization,... Read more ›
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Hundreds of enterprise leaders and technical experts packed the main ballroom of the luxurious Hotel Nia in Menlo Park this week for VB Transform 2026, the year's preeminent conference on using generative AI agents to drive business outcomes. Rachad Alao, vice president of product engineering at the rising Canadian enterprise AI startup Cohere, joined VentureBeat CEO and editor-in-chief Matt Marshall for a fireside chat about building agentic systems without surrendering... Read more ›
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The enterprise AI industry has a math problem. Cisco data shows 85% of enterprises are piloting AI agents, but only 5% have shipped them to production. At VB Transform 2026 on Tuesday, Bryan Silverthorn, Director of AGI Autonomy at Amazon, explained why that gap persists — and why the answer isn't better benchmarks.Silverthorn, who joined Amazon through its acquisition of Adept AI and now leads multimodal agent training inside the... Read more ›
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Enterprises looking to move more of their agentic AI workloads to open weights models they can customize, control and run on-premises or in virtual private clouds have a strong new contender to consider.Today, Thinking Machines—the highly capitalized American AI startup founded by former OpenAI CTO Mira Murati—released Inkling, its first major language model under an enterprise-friendly Apache 2.0 open source license, and it boasts high, if sub state-of-the-art, performance for... Read more ›
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Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged on reliable multi-step execution. But the ambition runs well ahead of the reality: most deployed “agents” are still chatbot wrappers, the control plane enterprises expect is deliberately hybrid to avoid lock-in, and real-time fiscal control over token burn remains the exception.This... Read more ›
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Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their internal evaluations and then failed a customer in production; only one in twenty fully trusts automated evaluation today; and the most-cited weakness is that evaluations do not align with real-world outcomes. Yet two-thirds already allow, or are actively engineering toward, deploying... Read more ›
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Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector databases that define the category — yet a majority of enterprises have already watched their agents produce confident, wrong answers traced to missing or inconsistent context. A governed semantic layer is emerging... Read more ›
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Presented by Ping Identity Enterprises need to treat zero trust security architecture as an immediate requirement for AI agents rather than a long-term goal, says Andre Durand, CEO and founder of Ping Identity. Zero trust, the security model built on the assumption that no user, device, or system should be automatically trusted, requires continuous verification before every action rather than a single check at login. Agentic AI has profoundly compressed... Read more ›
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Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model-provider APIs, yet the next dollar is aimed at specialized compute almost none of them use today; a majority intend to switch or add providers within the year, many within a quarter. Buying decisions turn on integration and total... Read more ›
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Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incident or a near-miss; only about a third give every agent its own scoped identity, and most agents still share credentials; and only three in ten isolate their highest-risk agents. The security stack is overwhelmingly borrowed from... Read more ›
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21.07.2026 20:49
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