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AI agents run on file systems using standard tools to navigate directories and read file paths. The challenge, however, is that there is a lot of enterprise data in object storage systems, notably Amazon S3. Object stores serve data through API calls, not file paths. Bridging that gap has required a separate file system layer alongside S3, duplicated data and sync pipelines to keep both aligned.The rise of agentic AI makes that challenge even harder, and it was affecting Amazon's own ability to get things d
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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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The Google Pixel 10a is an excellent mid-range smartphone, but there are several other phones that are comparable in price while offering better performance. Read more ›
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Following last week's discovery of still wallpapers, we can finally see these in action. Read more ›
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Теперь возможно экспортировать в C++ код игр Sega MegaDrive (Genesis) для последующей модификации, включая ресурсы игры.https://github.com/testdriveupgrade/MegaDriveRecomp Читать далее Read more ›
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The rapid evolution of technology continues to redefine traditional industries, and few sectors are experiencing a transformation as dynamic as online casino gaming. Once considered purely recreational spaces, digital gambling platforms are evolving into sophisticated ecosystems powered by artificial intelligence, ... Read more ›
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The more you fly, the more you notice the little things. These clever cabin features, often missed by travelers, can change how comfortable your flight feels. Read more ›
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Elon Musk is expected to return to the witness stand on Wednesday as he seeks to convince a jury he was deceived by OpenAI CEO Sam Altman. Read more ›
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Talk about out of touch with reality. Investors slammed the tech sector on Tuesday, spurred in part by a Wall Street Journal report that OpenAI had missed some internal revenue projections. Among the biggest to take a hit were two cloud firms that depend heavily on OpenAI for business: Oracle and CoreWeave, whose stocks fell 4% and 5.8%, respectively. It seems investors were surprised by the idea that all might... Read more ›
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CNET Senior Writer Antuan Goodwin drives through the basics of the Dreame Nebula NEXT 01 - Jet Edition: a rocket-powered concept car from Dreame, a hardware company you might associate more with robots and home appliances. Read more ›
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Training AI reasoning models demands resources that most enterprise teams do not have. Engineering teams are often forced to choose between distilling knowledge from large, expensive models or relying on reinforcement learning techniques that provide sparse feedback.Researchers at JD.com and several academic institutions recently introduced a new training paradigm that sidesteps this dilemma. The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the rel Read more ›
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“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant,” reads OpenAI's coding agent instructions. Read more ›
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Looking to save money at the gas pump? Discover why removing this incredibly common exterior car accessory will instantly improve your fuel economy. Read more ›
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Когда я создавал свой первый Python-пакет, dataclass-sqlalchemy-mixins(github или pypi), я столкнулся с интересной задачей:как настроить CI/CD в GitHub так, чтобы при отправке новых изменений ничего не ломалось, а код автоматически публиковался в PyPI. Обычно, чтобы проверить любой коммит, попадающий в master-ветку через pull request, необходимо запускать тесты. Кроме того, полезно использовать линтеры для проверки стиля кода, особенно если над проектом работают несколько разработчиков. В этой статье я расс Read more ›
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Starbucks is quietly becoming an energy drink company as it plans to expand its new line of Energy Refreshers and reshape customer drinking habits. Read more ›
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In the days since this year's White House Correspondents' Dinner was cut short when shots were fired at the event, there has been a boom of conspiracy theory videos created by people who insist that the entire situation was a false flag operation. These kinds of theories are nothing new, but the way they're spreading […] Read more ›
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It’s Tuesday, April 28, 2026, and we’re back with today’s top startup and tech funding news. Today’s rounds highlight a continued shift from AI hype to real-world deployment, with capital flowing into platforms that automate legal work, hiring, cybersecurity, and financial ... Read more ›
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Gemini Enterprise platform gets a fresh look at Google Cloud Next 2026, with new app experiences and agent builder. Read more ›
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Today the first witness was sworn in in Musk v. Altman: Elon Musk. I was surprised by how flat he seemed. This is not the first time I've seen Musk in court. During his defamation suit, he turned on the charm and the jury responded by finding him not guilty. Today he looked adrift and […] 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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28.04.2026 21:02
Last update: 20:50 EDT.
News rating updated: 03:52.
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