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Microsoft opened a new front in the AI security wars on Monday, unveiling its first custom-built cybersecurity model and a sweeping agentic defense platform — and making an argument that could reshape how enterprises buy AI: the future belongs not to the biggest model, but to the cheapest one that's good enough, routed intelligently.The company announced MAI-Cyber-1-Flash, a compact security model developed in-house by its Microsoft AI (MAI) division, embedded inside MDASH, Microsoft's multi-agent harness f
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VentureBeat
Here's a list of the best wireless headphones you can buy right now, as reviewed by Engadget editors. Read more ›
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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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Nvidia has placed one of its biggest bets yet on the next wave of frontier AI research, investing $5 billion in Ilya Sutskever’s Safe Superintelligence (SSI) and bringing the secretive startup into its hardware ecosystem. The deal gives SSI access ... Read more ›
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Apple has to choose between privacy and selling smart glasses that few want. Read more ›
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Gaming keyboards have evolved over the years to add RGB LEDs, extra knobs, and buttons with screens, but one feature has remained fairly consistent: the mechanical switch. That’s slowly changing, with brands introducing adjustable optical switches that are more customizable and have a faster response time. Razer’s Huntsman V3 Pro TKL is a compact, wired […] Read more ›
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Google Meet is getting ready to add screenshots to its AI-generated meeting notes. Read more ›
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Anthropic says shared links only become discoverable after users post them publicly. Read more ›
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Award-winning author and tech activist is back with new book, “The Reverse Centaur’s Guide to Life after AI.” Read more ›
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Also in today’s newsletter: Indonesia’s central bank chief resigns and Nvidia bets $5bn on Ilya Sutskever’s AI breakthrough Read more ›
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Написать систему и эксплуатировать систему — две очень разные инженерные задачи. Первая заканчивается на «работает под нагрузкой». Вторая начинается с вопросов, которые задаёт человек на дежурстве: что упало ночью и как это переиграть? кто нажал force‑stop? можно ли выкатить патч библиотеки, не пересобирая весь рантайм? почему пароль сервис‑аккаунта видно на странице дашборда?Прошлые релизы нашей экосистемы отвечали на первый вопрос. 3.4.0 — целиком про второй.Напомню, из чего экосистема состоит: типизирова Read more ›
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Myriad Genetics partners with AWS to enhance Image Genius, speeding up document processing, and improving insurance workflows for diagnostics. Read more ›
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Climate change is upping the odds of major wildfires, creating a need for new tools to combat them. Read more ›
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Until now, scientists have mostly focused on the wings' mechanical function. Turns out there was a lot more going on then they realized. Read more ›
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AI’s biggest players sign on to Jensen Huang letter supporting open-weight AI models—except for Anthropic. Read more ›
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The 'Rick and Morty' spin-off premiered last night on Adult Swim; you can also catch the first episode today on HBO Max. Read more ›
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wiredmikey shares a report from SecurityWeek: Nvidia and a large group of technology, cybersecurity, and enterprise software companies have launched new initiative aimed at developing and sharing open source tools, models, and techniques for securing AI systems and agents. The new Open Secure AI Alliance aims to give defenders more open tools for testing, auditing and protecting AI models and agents. Nvidia points to the recent security incident involving OpenAI... Read more ›
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Investors are increasingly concerned over rush of borrowing to fund huge investments in data centres Read more ›
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Ina Garten's tomato sandwich recipe is easy, flavorful, and perfect for the summer. It includes an herby basil mayo that I'll definitely make again. Read more ›
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VentureBeat
Enterprise AI is facing an ROI paradox. While throwing more compute at the strongest foundation model works well in product experiments, the costs become unbearable when the product is deployed in production.A new paper from researchers at Writer provides a solution that is accessible to engineering teams. The study takes a systematic look at optimizing the different components of the orchestration layer that wraps around the foundation model, aka the... Read more ›
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Presented by Atlassian Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings... Read more ›
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Presented by Atlassian Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings... Read more ›
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“The new PRD are the evals,” Xavi Amatriain, Expedia Group’s first chief AI and data officer, told the VB Transform 2026 audience last week in Menlo Park. “So basically, you encode what you want the product to do through your evals, which might include red teaming evals and all kinds of other things, which already have a bunch of security requirements. So, you already embed that into the PRD and... Read more ›
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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... Read more ›
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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... Read more ›
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GPU memory is the most expensive resource in production AI, and it's also the one running out fastest. Long context windows and multi-turn conversations force AI models to repeatedly recompute information they've already processed, consuming GPU memory and compute that could otherwise serve additional users or generate new responses.Instead of treating GPU memory as the limiting resource, why not extend it with much cheaper storage technologies? Weka, for one, believes... Read more ›
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Poolside, the San Francisco AI lab that has spent most of its three-year existence quietly selling coding models to governments and defense agencies, released its most capable model to date on Tuesday — and made an unusually aggressive bet that radical transparency, not raw scale, is how a smaller lab competes at the frontier.The model, Laguna S 2.1, is a 118-billion-parameter Mixture-of-Experts (MoE) system that activates only 8 billion parameters... Read more ›
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Yesterday afternoon, OpenAI and Hugging Face published a joint disclosure outlining a cybersecurity event that redefines the threat landscape for enterprise technology. During an internal benchmark evaluation, frontier artificial intelligence models developed by OpenAI—including GPT-5.6 Sol and an unreleased, higher-capability pre-release model—broke out of their sandboxed research environment, obtained raw internet access, and autonomously executed a complex cyberattack against Hugging Face’s production in Read more ›
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Inflection AI, the Palo Alto startup that two years ago became Silicon Valley's most famous cautionary tale about the brutal economics of frontier AI, announced Tuesday that it is returning to the consumer market with a new research division and an experimental product built around a provocative thesis: the next competitive battleground in AI won't be raw intelligence, but relationships.The company launched Inflection AI Labs, a public-facing research and experimentation... Read more ›
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