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When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill.Researchers at MIT, the Improbable AI Lab and ETH Zurich have developed a new technique that enables large language models to learn new skills and knowledge without forgetting their past capabilities.Their technique, called self-distillation fine-tuning (SDFT), allows models to learn directly from demonstrations and their own experiments by l
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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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Mumbai-based restaurant and tea room chain Burma Burma has raised over ₹38 Cr (about $4 Mn) in a funding round… Read more ›
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Gabe Stern, Synthesia's general counsel, says he's developing a lawyer avatar built to negotiate his company's contracts. Read more ›
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Are you out of contract or looking for a better deal for your mobile phone? If so, there are some great SIM Only deals available in Ireland right now with huge savings to be made over long contract plans. We’ve teamed up with Switcher.ie, the free and impartial price comparison and switching service, to find the […] Read more ›
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BullshitBench, created by Peter Gostev, evaluates AI models' ability to detect nonsense. One AI company did way better than everyone else. Read more ›
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You'll soon be able to show your contacts you care with effortless custom Pixel Take a Message greetings. Read more ›
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The Vienna-based firm is joining the growing race joins race to build compliant blockchain rails for traditional securities like equities and funds. Read more ›
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Paymentology has appointed Peter Theunis as principal advisor, bolstering its push into new markets and strengthening its focus on high-growth fintech and banking clients. Read more ›
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Парень без команды и без найма запустил приложение за 3 дня и вышел на $25 000 в месяц. Никакой магии - только ИИ-инструменты, гипотеза и правильный маркетинг. Разбираю его историю и рассказываю, почему барьер входа в IT-продукт сейчас практически равен нулю - и что реально мешает большинству начать. Читать далее Read more ›
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A star you can see with the naked eye has kept astronomers guessing for decades with its unusually powerful X-rays. Now, thanks to highly precise observations from Japan’s XRISM space telescope, scientists have finally uncovered the source: a hidden white dwarf companion pulling in material and generating extreme heat. This discovery not only solves a 50-year-old mystery surrounding Gamma Cassiopeiae, but also confirms the existence of a long-predicted type of... Read more ›
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Системные программисты годами живут в вынужденном компромиссе. Когда вы пишете ОС, гипервизор или драйвер ядра, у вас два пути. Первый — чистый ассемблер (NASM/GAS), где вы имеете 100% контроль над железом, но теряете систему типов и тонете в ручном управлении памятью. Второй — использование inline asm вставок в C/C++, которые превращают ваш код в строковый «черный ящик», ломают пайплайн оптимизатора и могут взорваться в рантайме из-за ошибки в одной букве... Read more ›
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По данным Financial Times, AI-агент Amazon получил operator-level доступ к продакшену - и выбрал «удалить окружение» как оптимальный способ починить баг. 13 часов аутейджа. Собрал хронологию трёх инцидентов марта 2026 и разбираюсь, что именно пошло не так на уровне permissions, review gates и CI/CD. Читать далее Read more ›
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У Figma давно был MCP-сервер. Работал он в режиме read-only, и сценарий выглядел так: дизайнер (или вы сами) рисовали макеты руками, потом разработчик скармливал агенту ссылку на файл в Figma, агент разбирал его по слоям, вытаскивал структуру, цвета, отступы, шрифты, и на выходе генерил код, который более-менее соответствовал тому, что было нарисовано.Вчера Figma обновила свой MCP-сервер, и теперь она умеет не только читать, но и рисовать дизайн. Причём речь не... Read more ›
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I want to talk about something that I think about often as someone who runs a business, lives abroad, and watches the people in my life navigate their sixties with varying degrees of grace and suffering. The suffering, when it comes, almost never looks the way you’d expect. It doesn’t look like physical decline, though ... Read more Read more ›
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Язык проектировался простым, лёгким в освоении, готовым для написания сервисов с первого дня. Он мог бы таким и остаться, если бы не одна проблема. Проблема отбора.Инженеры Google понимали, что без подводных камней, необходимости знать детали реализации языка и неконсистентного синтаксиса не о чем будет спрашивать на собеседовании.Явно ставилась задача — сделать язык достаточно простым, но не настолько, чтобы собеседование мог пройти любой новичок. Узнай тайны Read more ›
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HUAWEI's Mate 80 Pro Max just traded a camera for a fan, and it’s the most interesting flagship gamble of the year. Read more ›
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Представьте: команда взялась за инициативу, расписала задачи по спринтам, завела тикеты в Jira — и ушла пилить. Через квартал выясняется, что не успели. Или успели, но никому не нужно. Или руководство неожиданно "не поддержало".Большинство провалов проектов и инициатив — предсказуемы. Их можно увидеть заранее, если знать, куда смотреть.Для этого существует DICE-фреймворк от Boston Consulting Group. Это методика оценки вероятности успеха (или провала) проекта до старта. Читать далее Read more ›
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In 2026, data engineers working with multi-agent systems are hitting a familiar problem: Agents built on different platforms don’t operate from a shared understanding of the business. The result isn’t model failure — it’s hallucination driven by fragmented context.The problem is that agents built on different platforms, by different teams, do not share a common understanding of how the business actually operates. Each one carries its own interpretation of what... Read more ›
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In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, carving out a reputation for delivering frontier-level large language models (LLMs) with open source licenses and before that, high-quality AI video generation models (Hailuo). The release of MiniMax M2.7 today — a new proprietary LLM designed to perform well powering AI agents and as the backend to third-party... Read more ›
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Chinese electronics and car manufacturer Xiaomi surprised the global AI community today with the release of MiMo-V2-Pro, a new 1-trillion parameter foundation model with benchmarks approaching those of U.S. AI giants OpenAI and Anthropic, but at around a seventh or sixth the cost when accessed over proprietary API — and importantly, sending less than 256,000 tokens-worth of information back and forth.Led by Fuli Luo, a veteran of the disruptive DeepSeek... Read more ›
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A rogue AI agent at Meta took action without approval and exposed sensitive company and user data to employees who were not authorized to access it. Meta confirmed the incident to The Information on March 18 but said no user data was ultimately mishandled. The exposure still triggered a major security alert internally.The available evidence suggests the failure occurred after authentication, not during it. The agent held valid credentials, operated... Read more ›
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Cursor, a San Francisco AI coding platform from startup Anysphere valued at $29.3 billion, has launched Composer 2, a new in-house coding model now available inside its agentic AI coding environment, and it offers drastically improved benchmarks from its prior in-house model.It's also launching and making Composer 2 Fast, a higher-priced but faster variant, the default experience for users.Here's the cost breakdown:Composer 2 Standard: $0.50/$2.50 per 1 million input/output tokens... Read more ›
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The future of AI isn’t just agentic; it’s deep personalization. Rather than simple recommender systems that correlate user behavior to identify patterns and apply those to individual workflows, large language models (LLMs) and AI agents can analyze users directly to create deeply personalized experiences. It’s this kind of aggressive customization users are increasingly demanding — and the savviest enterprises who provide it (and soon) will win. The goal is: “Don't... Read more ›
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The hit open source autonomous AI agent OpenClaw may have just gotten mogged by Anthropic. Today, Anthropic announced Claude Code Channels, a way to hook up its own powerful Claude Code AI agentic harness to a human user's Discord or Telegram messaging applications, letting them message Claude Code directly whenever they want while on the go and instruct it to write code for them. Official documentation is here.This isn't just... Read more ›
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Enterprises that have been juggling separate models for reasoning, multimodal tasks, and agentic coding may be able to simplify their stack: Mistral’s new Small 4 brings all three into a single open-source model, with adjustable reasoning levels under the hood.Small 4 enters a crowded field of small models — including Qwen and Claude Haiku — that are competing on inference cost and benchmark performance. Mistral’s pitch: shorter outputs that translate... Read more ›
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Voice AI is moving faster than the tools we use to measure it. Every major AI lab — OpenAI, Google DeepMind, Anthropic, xAI — is racing to ship voice models capable of natural, real-time conversation. But the benchmarks used to evaluate those models are largely still running on synthetic speech, English-only prompts, and scripted test sets that bear little resemblance to how people actually talk.Scale AI, the large data annotation... Read more ›
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Large language models are running into limits in domains that require an understanding of the physical world — from robotics to autonomous driving to manufacturing. That constraint is pushing investors toward world models, with AMI Labs raising a $1.03 billion seed round shortly after World Labs secured $1 billion.Large language models (LLMs) excel at processing abstract knowledge through next-token prediction, but they fundamentally lack grounding in physical causality. They cannot... Read more ›
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25.03.2026 05:18
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