#DeepSeek
The Evolution of Attention in LLMs: How Engineers Scale Context to Millions of Tokens
We explore why the era of pure Multi-Head Attention is over and how a combination of MLA, learned sparsity, history compression, and FlashAttention 4 enables models to efficiently process ultra-long contexts.
The Era of Expensive AI Models Is Ending: Why Developers Are Switching to Lightweight LLMs and Changing Their Toolstack
The race for record-breaking LLM benchmarks is losing its appeal for experienced engineers. Real cost per task, generation speed, and minimalist tooling are taking center stage.
От наведения ракет до скрытого обучения: Anthropic раскрыла факты нецелевого использования Claude
Компания Anthropic представила масштабный отчет о безопасности, раскрыв сотни инцидентов со злоупотреблением Claude — от разработки ракетного ПО в Йемене до тайного заимствования ответов китайскими ИИ-лабораториями.
Russian LLMs within Strict Boundaries: How a Rigid Pipeline Makes Alice Faster than Competitors in Office Tasks
The creators of the VibePilot platform presented an applied benchmark of neural networks in agent scenarios: with a rigid pipeline architecture, Russian language models successfully outperform Chinese counterparts in the speed and cost of generating standard documents.
Experiment: Can AI Models Catch All Bugs and Merge External Code into a Flawless Solution?
A practical test demonstrated why developers shouldn't blindly trust a single language model: four LLMs searched for seven bugs in a script, while seven others attempted to assemble a flawless version from external fixes.
AI Price War: How Open Models and Cheap Inference Are Erasing Giants' Superprofits
The artificial intelligence market has been gripped by fierce price competition. Open architectures like Qwen and GLM, forced price cuts by OpenAI, and in-house hardware development are transforming access to neural networks from a premium service into a basic utility.
SpaceX and Nvidia Join Forces for Orbital AI Data Centers Targeted for 2027
SpaceX has partnered with Nvidia to power its orbital Starmind data centers with custom Vera Rubin hardware, aiming for launch by late 2027 amid growing ground-based infrastructure constraints.
Experiment: Which AI Models Are Named Market Leaders When Asked Themselves
Five popular AI services with web search access answered questions about the best neural network. The test showed that models rarely rank themselves first, but almost always recommend ChatGPT.