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The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use inference-time scaling techniques to increase the accuracy of model responses, such as drawing multiple reasoning samples from a model at deployment.To bridge this gap, researchers at University of Wisconsin-Madison and Stanford University have introduced Train-to-Test (T2) scaling laws, a framework that jointly optimizes a
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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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A tiny new XR display from Samsung Display promises brightness, color reproduction, and efficiency like no other. Read more ›
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Qualcomm CEO Cristiano Amon disclosed that his company is now working on more than 40 different AI wearable designs — from camera-equipped earbuds to jewelry, pins and watches — and positioned Qualcomm as the default silicon layer beneath whatever device category eventually displaces the smartphone. Read more ›
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In 1969, a fireball broke over the Victorian town of Murchison and scattered carbon-rich stones across the paddocks. Inside them sat grains of silicon carbide that condensed in dying stars roughly 7 billion years ago — older than the Sun, older than the Earth, and the most ancient solid material ever held in a human hand. Read more ›
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Эта статья основана на реальном опыте использования Claude в работе QA-инженера. Все оценки времени — практические, не теоретические. Работа тестировщика предполагает много разных задач: написать чек-листы, оформить баг-репорты, прочитать очередное техническое задание и составить тестовую документацию, которую, скорее всего, кроме него никто не увидит. На это уходят часы, которые могли бы идти на реальное тестирование, исследование продукта или профессиональный рост.В условиях развития нейросетей, многие в Read more ›
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According to a new rumor from Taiwan, the upcoming iPhone 18 will get 12GB of RAM. The iPhone 17, for comparison, only has 8GB. The added memory will be used to power the new Siri AI features with the most powerful on-device model, which requires a minimum of 12GB of RAM. This will give Siri more expressive voices (along with sliders to personalize them), and will also enable major accuracy... Read more ›
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Here are hints and the answers for the NYT Connections: Sports Edition puzzle for June 17, No. 632. Read more ›
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Одна база пишет, другая читает: как CQRS, Kafka и Outbox ускоряют запросы, но приносят lag, дубли и eventual consistency Читать далее Read more ›
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Thinking of buying the Oura Ring 5? Ask our reviewer anything you want to know about the world's smallest smart ring before their review goes live. Read more ›
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It's not uncommon to see speed limit signs in the 70s and even up to 80 mph, but oe place has a speed limit that's even higher. Here's where it is. Read more ›
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Where to watch Austria vs Jordan free, the kickoff time in every zone, and how to stream the 2026 World Cup opener for Group J from anywhere. Read more ›
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New Leadership Takes Over BigBasket It is the end of an era at BigBasket. Cofounders Hari Menon and Vipul Parekh… Read more ›
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В экосистеме современного C++ прочно укоренилось мнение: классический динамический полиморфизм через виртуальные функции (vtable) и наследование — это устаревший, медленный и недружелюбный к кэшу процессора механизм. В качестве «серебряной пули» модно предлагать связку std::variant и std::visit. Если вы спросите любого виртуального умника (ИИ) он до последнего будет убеждать вас что std::variant и std::visit всегда(!) лучше чем виртуальные функции, даже не сомневайтесь. Проблема в том что с таким отношением Read more ›
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The NYT Strands hints and answers you need to make the most of your puzzling experience. Read more ›
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Connections is a New York Times word game that's all about finding the "common threads between words." How to solve the puzzle. Read more ›
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Here's the answer for "Wordle" #1824 on June 17 as well as a few hints, tips, and clues to help you solve it yourself. Read more ›
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See the Moon phase expected for June 17, 2026 as well as when the next Full Moon is expected. Read more ›
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VentureBeat
Enterprise AI teams face a dilemma: The best models today might not be the best models a year from now. MassMutual's answer is to stop making long-term bets — and build infrastructure that can swap models as the market shifts.“The world of AI today is extremely dynamic,” Sears Merritt, MassMutual CIO, explained in a new VB Beyond the Pilot podcast. “We wanted to make sure we were positioned to ride... Read more ›
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In a sweeping new essay titled "Policy on the AI Exponential," Anthropic co-founder and CEO Dario Amodei publicly calls for new government regulations governing the release of powerful AI models — specifically comparing AI industry to commercial aviation, which follows regulations enforced by the U.S. Federal Aviation Administration (FAA) — arguing that this is necessary to maintain public safety as AI capabilities and potential misuses grow.Alongside the essay, Anthropic released... Read more ›
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Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path.To overcome this brute-force scaling dogma, researchers at Sapient developed HRM-Text, which replaces standard Transformers with a highly sample-efficient Hierarchical Recurrent Model (HRM), an architecture they first introduced last year.HRM decouples computation into slow-evolving strategic and fast-evolving execution layers. Instead of b Read more ›
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Researchers from the University of California, Berkeley's Center for Responsible, Decentralized Intelligence (RDI), alongside an advisory committee of over 300 domain experts, have launched Agents’ Last Exam (ALE)—a grueling new benchmark built to measure whether artificial intelligence can actually execute economically valuable, long-horizon professional workflows.In a shocking upset, OpenAI’s GPT-5.5 from April, operating through the Codex harness, secured the absolute top spot on the new ALE Leaderboard. Read more ›
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Presented by Capital One Enterprises aren’t struggling to experiment with AI; they’re struggling to make it work in the real world. Moving from promising prototypes to reliable, production-scale systems is where most efforts stall.In my role within Capital One’s AI Foundations organization, I’ve seen firsthand that successful AI implementation isn’t just about adopting the latest models or tools. It requires a disciplined R&D approach that connects foundational research to real-world... Read more ›
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GenAI image generators like Stable Diffusion do not draw a picture pixel by pixel from left to right. They start with noise and iteratively refine the entire image in parallel until it converges, in a process known as diffusion. For years, applying that same principle to text generation had remained out of reach at scale.Standard language models work like a typewriter: one token at a time, left to right, with... Read more ›
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Presented by F5Enterprise AI teams have spent years solving for compute, securing GPU allocations, negotiating cloud capacity, and benchmarking training throughput. The assumption embedded in that work is that the path between storage and compute will keep up. In production, that assumption increasingly does not hold. Real traffic introduces latency spikes, network jitter, and node degradation that controlled benchmarks fail to capture, resulting in pipelines that perform well in the... Read more ›
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Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory and compute that growing context demands. Most existing solutions either degrade model accuracy, require the full context to load before compression begins, or produce memory savings that don't translate into real speedups in standard serving infrastructure.A research team from NYU, Columbia, Princeton,... Read more ›
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Xiaomi's MiMo AI team has open-sourced MiMo Code V0.1.0, a terminal-native AI coding assistant that the Chinese electronics giant says outperforms Anthropic's Claude Code on key agentic coding benchmarks, especially on long-horizon, multi-step tasks (200+ steps) — at least, according to its own internal beta release and survey of 576 developers. It's also bundling limited-time free access to MiMo-V2.5, its multimodal flagship model with a million-token context window, requiring no... Read more ›
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Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models to adapt to specific enterprise use cases and complex workflows. However, optimizing these skills is a slow process and faulty process, as they cannot be trained in the same way as the parameters of the underlying AI model.... Read more ›
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16.06.2026 23:31
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