Статьи об ИИ

In 2026, 88% of enterprise leaders say basic data literacy is important for day-to-day work; 72% say the same for AI literacy, moving AI and data from specialist capability to baseline workplace skills.

Most companies offer AI training. Most still have an AI skills gap.

Cursor's latest proprietary model, Composer 2, introduces continued pretraining, RL-trained self-summarization, and a dramatic cut in token pricing.

Learn how Attention Residuals rethink depth in Transformers by replacing uniform residual accumulation with selective, attention-based aggregation.

Only 21% of leaders overall report seeing “significant” positive ROI from AI investments.

Learn how to install and use Open WebUI to run local AI models with a ChatGPT-style interface. Includes setup steps, configuration tips, and real-world use cases.

We compare Anthropic and OpenAI across model capabilities, safety philosophy, developer tools, pricing, and enterprise adoption to help you pick the right AI platform.

Take a close look at OpenAI's latest small models, which are built for speed. Compare performance and pricing with Claude Haiku 4.5.

We compare GLM 5 vs GPT 5.3 Codex for AI agent workflows, analyzing architecture, benchmarks, deployment choices, and costs to guide your model selection.

60% of enterprise leaders say they have a data skills gap despite 88% agreeing that data literacy is essential for day-to-day work.

Learn how Claude Code and Antigravity work, how they compare on real tasks, and which one fits your workflow and budget.

Learn how Cursor and VS Code differ on AI integration, how they hold up across real development scenarios, and which one is worth your time and money.