The AI industry is staking its future on language models. But LLMs, an expert argues, are fundamentally incapable of being intelligent.

For the last few years, most of the progress in AI has been tied to size. Bigger models, bigger datasets, bigger everything.

Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.

Micro-frontends differ from components by emphasising autonomy and flow over standardisation and reuse—a sociotechnical shift aligned with Conway's law. Migration should be gradual, starting where ...