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OpenAI on Monday began emailing more than 8,000 developers who applied for its invite-only GPT-5.5 party with a surprise consolation prize: a tenfold increase in Codex rate limits on their personal ChatGPT accounts, effective immediately and lasting through June 5."We had over 8,000 people express interest in just 24 hours, and while we wish our office was big enough to welcome everyone, we weren't able to make space for every person who applied," the company wrote in the email, which VentureBeat obtained..
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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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Temenos has expanded its AWS SaaS offering while extending its banking technology work with FAB in Saudi Arabia. Read more ›
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Staffers at Google DeepMind's headquarters have voted to unionize in an effort to prevent the AI firm's technology from being used by Israel and the US military. In a letter to Google management on Tuesday, employees requested that the Communication Workers Union (CWU) and Unite the Union be recognized as joint representatives, with 98 percent […] Read more ›
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Focus Entertainment has announced that its hit grimdark third-person shooter Space Marine 2 is getting a third year of post-launch support. Read more Read more ›
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Last month, analyst Ming-Chi Kuo reported that OpenAI was developing an AI-agent smartphone slated for mass production in 2028. Now, Kuo suggests the timeline may have been accelerated and has also shared some early specifications of the device. According to Kuo, the OpenAI smartphone is now expected to enter mass production in the first half of 2027. The analyst attributes the accelerated timeline to the growing AI phone market, along... Read more ›
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Neuralink director Shivon Zilis is the mother of four of Elon Musk's children and an ex-OpenAI board member. Learn more about the Canadian-born VC. Read more ›
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Как AI меняют карьерный лифт в разработке: почему проблема не в исчезновении сеньоров, а в том, что рынок всё хуже выращивает новых инженеров. Разбираем автоматизацию нижнего слоя задач, AI-потолок джунов, контур ответственности и риск разрыва воспроизводства специалистов. Читать далее Read more ›
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В марте Минцифры опубликовало проект закона «Об основах государственного регулирования сфер применения технологий искусственного интеллекта». В апреле документ смягчили под давлением бизнеса (на портале regulation.gov.ru поступило 428 предложений от более чем 150 экспертов. Из них учтено полностью - 30, частично - 128), а 23 апреля Совет по кодификации при президенте под руководством Павла Крашенинникова отклонил его с формулировкой «юридически пустая, хоть и модно звучащая инициатива». Тем не менее Мишусти Read more ›
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Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application. Read more ›
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An enthusiast has taken the time to recreate the Apple Lisa, the first commercial PC with a GUI, with an FPGA board. Read more ›
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Microsoft's latest report says even more big changes are coming to AI in the workplace. Read more ›
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Без ITSM-системы IT-команда впадает в хаос: заявки на техподдержку теряются и путаются с запросами внутренних сотрудников, задачи на разработку продукта не отслеживаются, а руководитель не понимает, почему релиз обновления снова задерживается. Справиться с потоком задач и структурировать работу ИТ-отдела помогают ITSM-сервисы. В статье собрали 11 ITSM-решений, которые помогут систематизировать работу ИТ-команды. Разобрали, как команде выбрать подходящую платформу. Читать далее Read more ›
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Warsaw-based startup Elastics has raised$2 million in an oversubscribed pre-seed funding round to develop itsAI-powered infrastructure for quantitative trading. The round was led by Frst,with particip... Read more ›
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Привет, Хаброжители! Машинное обучение может ускорить выполнение повседневных бизнес-задач, таких как сверка счетов, прогнозирование спроса или автоматизация обслуживания клиентов, не говоря уже о более сложных задачах, например выявление мошенничества, прогнозное техническое обслуживание и персонализированный маркетинг. Извлекайте важную информацию из электронных таблиц, реестров, баз данных и других источников, используя градиентный бустинг, глубокое обучение и генеративный ИИ. Читать далее Read more ›
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VentureBeat
Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to move enterprise AI systems out of proofs of concept and into the business processes that generate revenue.The product, which launches as part of Mistral's Studio platform, is the company's clearest articulation yet of a thesis that is quietly reshaping the enterprise AI market: that... Read more ›
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The AI race lately has felt a bit like a game of tennis: first, Anthropic releases a new, pricey state-of-the-art proprietary model for general users (Claude Opus 4.7), then, a week or so later, its rival OpenAI volleys back with one of its own (GPT-5.5). And all the while, Chinese companies like DeepSeek and even Xiaomi are seeking to appeal to users by playing a different game: nearing the frontier,... 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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For most data engineering teams, managing pipeline reliability often means waiting for an alert, manually tracing failures across distributed jobs and clusters, and fixing problems after they've already hit the business. Agentic AI needs the data to be there, clean and on time. A pipeline that fails silently or delivers stale data doesn't just break a dashboard — it breaks the AI system depending on it.That gap is what Definity,... Read more ›
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Enterprises can't fix their GPU waste problem because the fix makes the problem worse. Releasing idle capacity would improve utilization, but the same shortage driving GPU prices up is exactly why no team will give capacity back. So the fleet sits at roughly 5%, billed by the hour, and the cycle tightens.That pressure — repeated across thousands of enterprises over the past two years — is the reason most companies... Read more ›
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Enterprise AI teams running centralized orchestration stacks now have a new variable to account for: AWS Quick, which expanded this week to a desktop-native agent that builds a persistent personal knowledge graph and executes actions across local files and SaaS tools — outside the visibility of most control planes.Unlike chat-based copilots that reset with each session, Quick now maintains a continuously updated knowledge graph built from the user's local files,... Read more ›
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Bringing AI agents into the enterprise software development lifecycle is fast becoming the norm. As developers experiment with new platforms, organizations are exposed to potential security and orchestration failures. Systems that work in pilots may fail once the agents start working with real-time data.Legacy tech giant IBM is one of several companies trying to address that gap by introducing more structure into how these workflows run. Yesterday, it announced the... Read more ›
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Something shifted in enterprise RAG in Q1 2026. VB Pulse data spanning January through March tells a consistent story: the market stopped adding retrieval layers and started fixing the ones it already has. Call it the retrieval rebuild.The survey covered three consecutive monthly waves from organizations with 100 or more employees, with between 45 and 58 qualified respondents per month across platform adoption, buyer intent, architecture outlook and evaluation criteria.... Read more ›
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Amazon Web Services on Tuesday launched one of the most consequential enterprise AI plays in the company's 20-year history, simultaneously bringing OpenAI's most powerful models to its Bedrock platform, unveiling a new agentic developer framework, releasing a desktop AI productivity tool called Amazon Quick, and expanding its Amazon Connect service from a single contact-center product into a family of four agentic AI solutions targeting supply chains, hiring, healthcare, and customer... Read more ›
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Presented by NutanixAs enterprises move from AI experimentation into production deployment, the primary cost driver has shifted away from foundation model training and toward the infrastructure required to run thousands of concurrent inference workloads at scale, with agentic AI as the accelerant. Where early enterprise AI projects involved a handful of large, scheduled training jobs, production agentic environments require continuous support for short-lived, unpredictable requests that consume GPU, network Read more ›
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05.05.2026 06:28
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