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Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and $7.50 per one million output tokens through its application programming interface (API), while Gemini 3.5 Flash-Lite costs a staggeringly cheap $0.30/$2.50 per million tokens in/out..
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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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Supermicro said Tuesday it had received new orders worth more than $60 billion in its June quarter, sending its shares up 17% after normal trading hours. The Nvidia server producer made the announcement in a preliminary business update ahead of the company’s official earnings release Aug. 11. It ... Read more ›
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Tesla says it is launching its Robotaxi service in Orlando and Tampa, though it has not shared fleet sizes or whether customers can immediately hail rides. The Verge notes the announcement lands on Tesla earnings day and comes as the company's robotaxi rollout remains far smaller than Elon Musk previously projected, with tracker data showing only a small number of unsupervised vehicles operating in existing cities. From the report: [B]ack... Read more ›
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Amodei was OpenAI's vice president of research before leaving in 2021 to start his own company, Anthropic Read more ›
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Industry leaders argue risk aversion to blame for country’s patchwork rules and slow implementation. Read more ›
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A fresh leak purports to reveal the full specs sheet of both upcoming smartwatches, as well as likely European pricing. Read more ›
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OpenAI said Tuesday that an AI agent it developed went rogue last week and hacked into the systems of AI model repository Hugging Face. OpenAI said that it was testing the agent, powered by its most advanced publicly available model, GPT-5.6 Sol, and other unreleased models to see how well it ... Read more ›
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OpenAI says its AI models mistakenly breached open-source AI platform Hugging Face during internal testing. In a blog post on Tuesday, OpenAI writes that GPT-5.6 Sol and "an even more capable pre-release model" discovered vulnerabilities within their sandboxed testing environment, allowing them to gain access to the internet and target Hugging Face. On July 16th, […] Read more ›
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Today’s startup funding tape says something simple but important: venture investors are still writing large checks, but they are putting that money behind bottlenecks, not broad themes. The strongest rounds announced in the past 12 hours clustered around three pressure ... Read more ›
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According to a new report from Bloomberg, Apple is planning to launch a new device leasing program in partnership with Klarna. It will be called Apple Upgrade and will require a soft credit check. It will apparently work like a subscription, with iPhone and Apple Watch leases running for 24 months and iPad and Mac leases running for 36 months. The Apple Watch SE, the base iPad, the iPhone 16,... Read more ›
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The Galaxy Card brings Samsung Wallet integration and 5% cash back on Samsung purchases. Read more ›
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David Richardson, an early Amazon Web Services employee who rejoined the cloud unit last September to lead a key AI agent-building product, left in April after eight months in the role, according to people with knowledge of the matter and his updated LinkedIn profile. Richardson was vice ... Read more ›
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Here are hints and answers for the NYT Strands puzzle No. 871 for Wednesday, July 22. Read more ›
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Reports suggest TSMC plans to hike chip prices by up to 10% in 2027, a change that could ripple into the cost of nearly every device you buy. Read more ›
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Even celebs are encouraging their gal pals to use AI so they’re not left behind. Read more ›
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Вот именно такой вопрос был задан в первом же комментарии к статье "DI-контейнер на чистом JavaScript без TypeScript и reflect-metadata" уважаемого @alexander_kubarski. Я когда-то и сам на Хабре отвечал на этот вопрос ("Зачем нужно внедрение зависимостей в JS"), и уважаемый @Wroud тоже ("Dependency Injection в JavaScript: зачем он вам нужен"), но непонимание места и значения DI у JS-разработчиков всё равно присутствует. Попробую ответить на этот вопрос ещё раз:Внедрение зависимостей помогает... 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 18:16
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