The post argues that while LLMs won't become super-intelligent soon, they will deliver substantial, practical advancements in the next 2-5 years, reshaping real-world applications without delivering sci-fi level AI.
The author pushes back against the hype that LLMs will become super-intelligent within a few years, warning that such expectations lead to repeated disappointment. He frames the current generation of models as powerful but still far from true general intelligence, and stresses the need for realistic roadmaps.
He predicts that within the next two to five years the field will produce breakthroughs that make today's Claude and the upcoming GPT-5 look like child's play. These advances will translate into concrete, real-world impact as organizations adopt LLM-driven tools at scale.
The piece serves as a reminder for technical leaders to focus on near-term, exploitable capabilities rather than chasing a sci-fi vision of autonomous AI, helping teams set achievable goals and allocate resources wisely.
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