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Every query an enterprise AI application processes, every correction a subject matter expert makes to its output — that interaction is training data. Most organizations are not capturing it. The production workflows companies have already built are generating a continuous signal that improves AI models, and it is disappearing.San Francisco-based Empromptu AI on Thursday launched Alchemy Models with a straightforward premise: the AI applications enterprises are already building are generating training data,.
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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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Большинство современных архитектурных подходов учат нас строить всё больше слоёв абстракции: контроллеры, сервисы, репозитории, адаптеры, транспортеры… Но что, если сложность системы растёт не из-за предметной области, а из-за самой архитектуры?В этой статье я представляю FASA (Flat Adaptive Software ARchitecture) — спецификацию, которая предлагает радикально простой ответ: всего три сущности, строгие правила зависимостей и никаких промежуточных слоёв.Вы узнаете, почему «плоский» граф компонентов может быть Read more ›
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The West has, for decades, coordinated air fight and defense from large operations centers. Today's threats are so big that this needs to change. Read more ›
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A team of researchers have shown how a self-replicating AI agent can take over a computer network at almost no cost. Read more ›
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New proposals will see the EU further invest in European startups and companies as it looks to strengthen its homegrown tech footprint. Read more ›
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The MSI Claw 8 EX AI+ brought comfort and performance to Computex with massive prongs and Intel Arc G3 Extreme. Read more ›
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Dodge has a brand-new sports car model in the works, and it's not another Viper, though the company does seem to be sticking with the snake theme. Read more ›
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Dronetech company ideaForge’s board has approved a proposal to raise up to ₹500 Cr in its meeting held today (June… Read more ›
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The Fitbit Air is pretty awesome and a fitness and health tracking wearable we gave positive marks to in our review. It’s slim and light and easy to wear, the price is reasonable, it tracks all of the stuff you’ll need it to, and the app isn’t as bad as some have made it out... Read the original post: Google Did the Coolest Thing It Could With the Fitbit Air Read more ›
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Uber is cutting nearly a quarter of the staff in its people division at a time when the company is spending heavily on AI tools and automation, marking the latest workforce reduction at a major tech company seeking greater efficiency. ... Read more ›
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Alexis Adegoke thought raising her family would be easier in Texas. Instead, she's happier in New York City, even though it's more expensive. Read more ›
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An appeals court ruled that the Pentagon failed to show that transgender troops harm national security. It may not be the final word on their careers. Read more ›
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Save $1,280 off this Dell Alienware Aurora gaming PC with an RTX 5080 graphics card inside. Read more ›
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Sam Altman said AI budgeting has recently become a "huge issue" for some companies, something that "never came up" earlier this year. Read more ›
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The slice-of-life game RollerGirl features music inspired by 2000s-era pop-punk. Read more ›
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We met in our mid-30s, so I never knew my husband as a younger person. When we watch old TV shows like "The Sopranos," I feel closer to him. Read more ›
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After a bit of a wait, Switch 2 owners can get their hands on Lego Batman: Legacy of the Dark Knight this autumn, publisher Warner Bros. has announced, as it joins the many other games arriving in September. Read more Read more ›
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Merck is using AI agents to cut drug discovery cycles by a third and ship compliant marketing materials up to 80% faster — but VP of Digital Platforms Sean Finnerty says the only reason it's working is because they built the infrastructure first.And the pharmaceutical manufacturer is seeing promising early results: AI is generating marketing drafts that are “99% right” when it comes to compliance, shrinking review cycles from months... Read more ›
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Among the many Chinese AI companies and laboratories vying for market share and attention (no pun intended) on the global marketplace, MiniMax stands out for its commitment to providing frontier-level intelligence across a range of modalities, including text, coding, and video (through its Hailuo model series) — often under permissive, enterprise-friendly, standard open source licenses. Now, MiniMax is again raising the eyebrows of AI power users and developers around the... Read more ›
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Presented by EquinixDigital systems are central to economic resilience. But the governance models supporting them were designed for a bygone era, when systems were smaller, often centralized, and rarely crossing multiple jurisdictions. This structural mismatch is driving the realization across boardrooms and governments that data sovereignty is not only core to critical infrastructure, but its implications determine the trajectory of the global economy.The scale of change is forcing the issue.... Read more ›
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When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than 10,000 tables and no semantic layer to guide routing, the agents had no way to know which data assets matched which business questions.DataHub is releasing a context intelligence layer Thursday that mines existing SQL... Read more ›
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Cloud design software company Figma is officially transforming its AI design assistant, Figma Make, from a prototyping sandbox into a live, visual software editor that connects natively to production codebases. Announced today, the update allows product managers, designers, and non-technical builders to import an existing Git repository directly into the Figma desktop app, visually edit the application's underlying code via the canvas, and push those changes back to engineering through... Read more ›
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DeepSeek’s announcement over the weekend that it has made its 75% price cut permanent on its flagship V4 Pro model is a disruptive assault on the capital-heavy business models of Silicon Valley’s frontier labs. The reduction on DeepSeek V4 Pro directly undercuts comparable Western models used as workhorses for enterprise production. It is 7x cheaper on inputs and 17x cheaper on outputs than Anthropic’s Claude Sonnet or OpenAI’s GPT 5.5-Med,... Read more ›
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Anthropic today released Claude Opus 4.8, an upgrade to its flagship model that ships at the same price as its predecessor, alongside a dramatically cheaper "fast mode" tier and a new feature that lets the model spawn hundreds of parallel subagents for codebase-scale work.The model is available immediately across Anthropic's surfaces — claude.ai, Claude Code, the API, and Cowork — at unchanged pricing: $5 per million input tokens and $25... Read more ›
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Mistral AI used its first-ever developer conference on Wednesday to announce a sweeping expansion into industrial manufacturing, a new inference data center south of Paris, and a rebranding of its consumer-facing assistant — moves that collectively signal the three-year-old French startup's ambition to become the enterprise AI provider of record for companies that refuse to hand their most sensitive data to American hyperscalers.At the AI NOW Summit, held at a... Read more ›
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Test-time scaling (TTS) has emerged as a proven method to improve the performance of large language models in real-world applications by giving them extra compute cycles at inference time. However, TTS strategies have historically been handcrafted, relying heavily on human intuition to dictate the rules of the model’s reasoning. To address this bottleneck, researchers from Meta, Google, and several universities have introduced AutoTTS, a framework that automatically discovers optimal TTS... Read more ›
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As enterprise AI agents move into production, organizations are confronting a growing reliability problem. Many teams are discovering that LLM performance alone does not determine whether agents succeed in production. Long-running AI workflows must survive crashes, preserve state, recover from failures, manage inference costs, and coordinate across APIs, tools, and enterprise systems.After a first wave focused on rapid deployment, organizations now need to revisit those first-generation implementations, and Read more ›
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03.06.2026 13:17
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