Is AI’s breakneck pace losing steam? Industry faces limits in scaling innovation

Jalan Abdullah residents could not stop mega project in their backyard, but can they at least have a park as a buffer?

Too important to China to fail, SE Asia’s ‘battery’ Laos struggles to tame rampant inflation and pay back US$13b debtSince the frenzied launch of ChatGPT two years ago, AI believers have maintained that improvements in generative AI would accelerate exponentially as tech giants kept adding fuel to the fire in the form of data for training and computing muscle.

Progress was advancing at such a rapid pace that leading industry figures, including Elon Musk, called for a moratorium on AI research. xAI, Musk’s AI company, is in the process of raising US$6 billion, according to CNBC, to buy 100,000 Nvidia chips, the cutting-edge electronic components that power the big models.Industry insiders are beginning to acknowledge that large language models aren’t scaling endlessly higher at breakneck speed when pumped with more power and data.

Sasha Luccioni, researcher and AI lead at startup Hugging Face, argues a stall in progress was predictable given companies’ focus on size rather than purpose in model development.

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