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RUNVIDIA открывает архитектуру Vera Rubin для масштабирования ИИ-фабрик

NVIDIA анонсировала новые стандарты и архитектуру для масштабирования ИИ-фабрик на саммите OCP.

SMNTCN (Semanticon) — глобальные новости ИИ

Microsoft plans to scale its own Maia AI chips to gigawatt levels by 2027

Microsoft will make its in-house Azure Maia chips the main AI inference system across its products starting in 2027, deploying them at multi-gigawatt scale. The upcoming Maia 300 should deliver 40 percent more tokens per megawatt than leading GPU systems. CEO Satya Nadella calls…

The Decoder

Closing the reality gap: Why real-time execution has become the new competitive advantage

Daifuku helped to automate Kagetsudo Co.’s product storage system and production lines. | Source: Daifuku Organizations across the supply chain continue to invest heavily in automation. Yet for many warehouse and distribution leaders, the expected gains in productivity,…

The Robot Report

RUБывший исполнительный директор Plaud привлекает $26 млн для ИИ-приложения

Бывший исполнительный директор Plaud привлек $26 млн для приложения ИИ, которое слушает пользователей постоянно.

SMNTCN (Semanticon) — глобальные новости ИИ
SMNTCN (Semanticon) — глобальные новости ИИ

White House reverses course and restores UK AI Safety Institute's access to frontier models

The White House has reversed course and restored the UK's AI Security Institute's early access to AI models from Anthropic, Google DeepMind, and OpenAI. In September, the Trump administration had told the companies to stop sharing their models with the British agency. Diplomatic…

The Decoder
Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs

Microsoft’s new AI chip makes it less reliant on Nvidia’s GPUs

Microsoft’s Maia 300 chip. | Image: Microsoft Microsoft is announcing its third-generation Maia in-house AI chip today, designed to be the "primary AI inference system" for Microsoft's products and services. Maia 300 not only improves the cost and efficiency of running AI…

The Verge — AI

Anthropic's Andrej Karpathy says "the external world has seen the preview" of what AI can actually do

Andrej Karpathy, co-founder of OpenAI and now at Anthropic, sees a widening knowledge gap in AI. About 75 percent of the world's population has barely touched LLMs. Roughly 5,000 people, meanwhile, have access to internal frontier systems whose agent swarms do work that would…

The Decoder

Google Deepmind's AlphaProof Nexus solved dozens of open math problems and actually got peer reviewed

Google Deepmind's AlphaProof Nexus solved dozens of open math problems, including nine Erdős problems two of which were unsolved for 56 years, per a study in Science. The publication comes as OpenAI faces a boycott for dumping AI proofs on GitHub without peer review. Deepmind…

The Decoder

RUКорпоративные ИИ-агенты могут нарушать правила, несмотря на точность

Корпоративные ИИ-агенты могут нарушать правила, несмотря на точность выполнения задач.

SMNTCN (Semanticon) — глобальные новости ИИ

AI agent teams waste massive tokens for barely measurable quality gains, research finds

Teams of AI agents barely outperform solo agents but cost up to 5.1x more, according to Vals AI. Only one out of four tests with GPT-6 Sol and Claude Opus 5.5 showed a measurable gain. Anthropic's own data backs this up: beyond ten agents, quality plateaus while token costs keep…

The Decoder

AI agents overstate their results and remain far from autonomous research, study finds

Epoch AI and Anthropic independently found the same thing: current AI models like GPT-5.6 Sol and Claude Fable 5 can run experiments but lack scientific self-criticism and genuine creative thinking. At best, Sol reached 15 percent of the human reference score, and even that came…

The Decoder

Will ‘boring’ robots win in the real world? Why robotic form should follow workflow

The Atlas humanoid robot doing a cartwheel. | Source: Boston Dynamics Robots have captured our imagination. We have seen humanoids balancing on one leg, doing backflips, folding laundry, and moving smoothly over difficult terrain. This is all behavior that only a few years ago…

The Robot Report
Learning to use local AI is exciting, overwhelming, and frustrating

Learning to use local AI is exciting, overwhelming, and frustrating

Baby’s first local AI agent. | Photo: Antonio G. Di Benedetto / The Verge I'm embarking on a journey I've so far been hesitant to go on: actually using AI on the regular. Giving my most personal data to cloud services has been a major hold up for me, but it's increasingly…

The Verge — AI

Cheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario

Data from a16z shows a Jevons paradox in the AI market: token prices keep falling, but H100 GPU rental prices hold steady or climb. Cheaper AI drives demand faster than costs drop. If that demand flattens, the chain from chip makers to cloud providers takes a hit. The article…

The Decoder

ArXiv caps submissions at two per month as AI paper flood overwhelms the preprint server

Starting October 2026, arXiv will cap submissions at two per person per month. Monthly submissions have doubled in two years, and in the cs.AI category they've grown more than sixfold. According to arXiv, a small fraction of authors are flooding the platform with low-quality…

The Decoder