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When someone on a team corrects an AI agent — better prompts, better feedback, better context — that improvement disappears the moment a colleague opens the same tool. The correction doesn't transfer, and the next person starts from zero.The problem compounds in multi-agent workflows, where teams expect agents to share context across users and tasks. Without a shared memory layer, every team member effectively trains a different version of the same agent — and those versions never sync.That gap shows up in.
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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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Google Vids gets a big AI upgrade with Gemini Omni, personal avatars, and more expressive voice controls. Read more ›
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The AI-powered image creation and editing application Google Pics was first made available in Gemini Alpha in May, and the company now plans to release it to all paying Workspace customers starting in August. Read more ›
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Jio Financial Services’ Bumper Q1 It was a profitable Q1 for Jio Financial Services. Buoyed by a humming lending engine… Read more ›
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Robovacs were flying off the shelves at Amazon during Prime Day, but there are still plenty of discounts of up to 69% from Dreame, Roborock and more if you missed out. Read more ›
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The Indian payments infrastructure firm swung from a ₹145 Cr loss to ₹113 Cr profit in a single year, processing $194bn in gross transaction value. Read more ›
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Is your inbox full of unnecessary newsletters? Gmail's built-in tool will save the day. Read more ›
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Google's AI-powered editing tool and its new personal avatars feature let you cast yourself in videos without ever needing a camera. Read more ›
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Salad greens could be a source of the growing cyclospora outbreak, but officials haven't identified a specific product, grower or supplier. Read more ›
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Google workers, led by Alphabet Workers Union, held a protest calling for layoff protections and urging CEO Sundar Pichai to address job security. Read more ›
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The defense secretary’s idea of administering testosterone therapy to service members of the US Armed Forces reveals little understanding of the complexity of hormones. Read more ›
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Valar Atomics, a three-year-old startup that makes small nuclear reactors intended to power data centers and other industrial facilities, is in talks to raise $1 billion at around a $5 billion valuation before the investment, according to a person with knowledge of the deal. Sequoia Capital, which hasn’t previously disclosed an investment in Valar, has been in talks to lead the fundraising, which could be a mix of debt and... Read more ›
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The SR-71 Blackbird's capabilities are rightly the stuff of legend, but what might not be so well known is the preparation their crews had to go through. Read more ›
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Reflect Orbital received FCC approval for sunlight-reflecting satellites, although scientists warn about possible effects on astronomy and ecosystems. Read more ›
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Lettuce sold at Taco Bell in five states has been linked to the multi-state cyclosporiasis outbreak. Read more ›
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Busy day. Uber unveiled its biggest-ever acquisition, the roughly $14 billion purchase of Delivery Hero, a German-based food-delivery giant with operations around the world. Netflix reported slower growth for the second quarter, as it had telegraphed, sending the stock down 8% to a two-year low. And SpaceX stock closed below its $135 a share IPO price for the first time, finishing the day at $131.11. Eek!We can get to Uber... Read more ›
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Flock is setting up surveillance cams and drones in cities nationwide. Citizens are fighting back. Here's everything you should know. Read more ›
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VentureBeat
The vast majority of business data is tabular — living in data warehouses, CRMs, and financial ledgers — yet building a reliable model from it still means training a new one from scratch for every dataset, then maintaining hyperparameter tuning loops, feature engineering, and retraining pipelines to fight data drift. Google Research is proposing a way around that: a new foundation model called TabFM that treats tabular prediction as an... Read more ›
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Enterprise AI teams are giving agents more freedom at the same moment their confidence in automated testing is collapsing.Half of enterprises have deployed an AI agent or LLM feature that passed internal evaluations and yet still caused a customer-facing failure — one in four more than once — according to the June 2026 VB Pulse survey of 157 qualified enterprise respondents at companies with 100 or more employees.The sample is... Read more ›
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Enterprise companies are running AI agents ahead of the controls needed to manage them — and they deployed that way knowingly. That is the central finding from VentureBeat Research's June survey of 573 technical leaders at companies with 100 or more employees, fielded across five parallel surveys of the agentic stack. Enterprises are now retrofitting to catch up with their own standards, and they are budgeting for it: Roughly six... Read more ›
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OpenAI on Thursday launched ChatGPT Work, a new AI agent embedded inside its flagship chatbot that aims to transform ChatGPT from a question-and-answer tool into an autonomous work platform capable of executing complex, multi-step tasks across users' email, calendars, code repositories, and messaging apps.The product is powered by OpenAI's latest flagship model, GPT-5.6, and is designed to go far beyond generating text. ChatGPT Work can gather context from connected apps,... Read more ›
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An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pulled. The model did not fail. The context it was given did.In the past six months, 57% of enterprises traced a confident but wrong AI agent answer to missing or inconsistent business context, and 31% said it... Read more ›
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Slopsquatting represents an emerging supply chain threat made possible by AI hallucinations. As developers increasingly rely on AI coding assistants, they unknowingly grant cybercriminals access to their software from day one. Understanding what slopsquatting isSlopsquatting is a new type of supply chain attack that uses large language model (LLM) hallucinations to inject malicious code into development workflows. The term combines "AI slop" and "typosquatting," a deceptive practice where attackers register Read more ›
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DeepSeek's recent decision to drastically cut pricing on its V4-Pro model by 75% should have been unequivocally good news for enterprise AI vendors and developers. Instead, many are discovering that cheaper models don’t automatically translate into healthier margins.The reason is simple: While inference costs plummet, agent systems are voraciously consuming tokens faster than prices are declining. For the last 2 decades, software economics was dictated by the same rule. Infra... Read more ›
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Presented by Kasm TechnologiesEnterprise infrastructure teams have spent the better part of a decade pushing workloads into Kubernetes. Applications, APIs, batch jobs, data pipelines — if it runs in a container, it belongs in the cluster. The operational benefits are well-established: declarative configuration, horizontal scaling, self-healing, native integration with CI/CD pipelines and observability tooling. Kubernetes has become the default operating model for production workloads.Except for desktops.Sec Read more ›
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Slopsquatting represents an emerging supply chain threat made possible by AI hallucinations. As developers increasingly rely on AI coding assistants, they unknowingly grant cybercriminals access to their software from day one. Understanding what slopsquatting isSlopsquatting is a new type of supply chain attack that uses large language model (LLM) hallucinations to inject malicious code into development workflows. The term combines "AI slop" and "typosquatting," a deceptive practice where attackers register Read more ›
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Model routing is becoming a key component of the enterprise AI stack, dynamically sending prompts to the right AI model to optimize speed and costs. However, current frameworks mostly treat routing as a static classification problem, which severely limits their potential.A new open-source framework called Agent-as-a-Router tackles this bottleneck, treating the router as a dynamic, memory-building agent. It uses a Context-Action-Feedback (C-A-F) loop to track model successes and failures and... Read more ›
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16.07.2026 23:05
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