For the past two years, the AI debate has often felt like a one-way conversation. On one side, LLMs take up all the space. On the other, a few researchers keep reminding us that aligning billions of tokens may not be enough to build a machine that truly understands the world. Yann LeCun is one […]
For the past two years, one idea has kept coming up in AI research: what if the real driver of progress is no longer just training bigger and bigger models, but giving them more compute at the moment they answer? This approach has a slightly technical name, but it matters: test-time compute, also called inference-time […]
In 2026, one of the biggest challenges in AI is no longer choosing the model, but connecting it properly to an information system. Whether it is a CRM, email tools, or design software, value appears when AI can access context and take action inside the tool. That is the role of MCP, which stands for […]
In late February 2026, several international media outlets highlighted a major shift: the explicit alignment between leading American AI companies and the U.S. Department of Defense. This is not merely a technology headline. It is a strategic turning point. Since the Cold War, technology has been a lever of power. But with generative AI, we […]
In late 2025, the three major AI players released their most powerful models yet. OpenAI with GPT-5.2, Anthropic with Claude Opus 4.6 (and its more accessible sibling Claude Sonnet 4.6), Google with Gemini 3 Pro. On paper, the performance gap between them is narrow. In practice, the differences are real, and picking the wrong one […]