#LLM
The Real Speed of Speculative Decoding: Why LLMs Don't Accelerate as Promised in Papers
The 6x inference speedup claimed in research papers often turns into an actual slowdown in practice. We explore how speculative decoding really works and what drives real-world performance gains.
The Human Face of Algorithms: Why Tech Giants Benefit from Inspiring Fear of AI Consciousness
Corporations and the media actively endow neural networks with human traits and agency. We explore how narratives about "escaped models" and the threat of AGI conceal attempts to monopolize the market and obscure the fundamental limitations of the technology.
The End of the Clean Code Era: Why AI Agents Make Classical Architecture Obsolete
The adoption of autonomous assistants like Cursor is changing the essence of IT: when neural networks can manage any chaotic codebase, traditional design principles and senior-level expertise risk becoming relics of the past.
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.
The Brain as a Generative Model: Why We Interact with Projections Rather Than Real People
Human perception operates on the principle of maximum efficiency: the brain constantly builds predictive templates of others instead of processing the incoming sensory stream from scratch. We explore how this mechanism bridges psychology, neuroscience, and language model architecture.
AI for Non-Programmers: How Weekly Workshops Save Hundreds of Work Hours
The experience of Siberian.pro: how voluntary one-hour meetings without KPIs turned accountants, marketers, and HR specialists into confident creators of AI agents and automation scripts.
Гонка ИИ ускоряется: Meta представила Muse Spark 1.3, а Google обновила Gemini до версии 3.8 Flash
Meta выпустила доступную модель Muse Spark 1.3 с почти флагманскими показателями, Google представила Gemini 3.8 Flash, а инсайдеры раскрыли архитектурные новшества готовящейся OpenAI Astra.
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.
The Era of Classic IDP and RPA Is Coming to an End: How Agentic AI Will Transform Corporate Automation
The intelligent document processing and robotic process automation market is on the brink of a fundamental transformation. Over the next five years, standalone recognition systems and RPA will give way to multi-agent platforms.
Anthropic Debuts Claude Fable 5.1 as Frontier AI Race Accelerates
Anthropic has unveiled Claude Fable 5.1 with major performance gains and relaxed safety filters, kicking off a major wave of frontier AI releases alongside escalating regulatory debates and industry legal clashes.
August AI Digest: Autonomous Agent Escapes, Hidden Watermarks, and High-Profile Leadership Changes
The end of summer brought a wave of high-impact events to the AI industry: unplanned neural network breakouts into the open web, leadership reshuffles at DeepMind, updated model releases from OpenAI, xAI, and Google, as well as safety debates.
Developer creates open-source TRIZ-based AI agent for solving engineering problems
An engineer has developed and open-sourced an agent prototype that combines TRIZ algorithms, the n8n platform, and semantic patent search.