What if AI Doesn't Get Much Better? Kairos Future's Take
In a recent New Yorker article, Cal Newport asks a provocative question: What if AI doesn’t get much better than this? The piece examines the rise and recent slowing of large language models (LLMs) such as OpenAI’s GPT series. After years of hype around “scaling laws” – the idea that ever-bigger models would inevitably deliver ever-bigger breakthroughs – the release of GPT-5 has led to a wave of disappointment. Instead of a new leap, we have seen incremental improvements, fuelling scepticism that current approaches can truly deliver artificial general intelligence (AGI).