Intellectual hub of the topic
As systems grow more complex, the question of their expansion ceases to be purely technical and moves into the realm of fundamental laws. In this collection, we view scaling not merely as a quantitative increase in parameters, but as a process that yields new qualities and challenges. Here, we have gathered research dedicated to the empirical laws of growth, the limits of computing power, and how changes in scale influence the behavior of complex models.
Artificial intelligence consumes energy on a scale that is becoming difficult to ignore, calling into question the very logic of infinite growth.
AI: Events
Products
Illustrious XL has been updated to versions 3.0–3.5: the new model supports resolutions up to 2048 pixels and understands complex text prompts on par with small language models (LLMs).
AI: Events
Infrastructure
Anthropic is expanding its infrastructure: a new agreement with Google and Broadcom will provide the company with the largest volume of computing resources in its history.
Google has added two new request processing modes to the Gemini API – Flex and Priority – allowing developers to choose between speed and cost.
Google has released Gemma 4 – the company's most powerful open models to date, focused on complex reasoning and agentic scenarios.
AI: Events
Research
Researchers suggest rethinking the approach to training AI models, advocating for specialization on specific tasks over multitasking.
AI: Events
Infrastructure
Two new open-source projects offer a way to run multiple AI models on a single GPU with dynamic memory management, without sacrificing performance.
Google has unveiled TurboQuant, an algorithm that compresses AI's working memory sixfold, which could fundamentally change the approach to neural network infrastructure.
AI: Events
Technical context • Infrastructure
SGLang was prominently featured at NVIDIA GTC 2026 in multiple formats, from a mention in the keynote to a 200-person meetup and a hands-on lab.
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