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AI Companies Reportedly Struggling to Improve Latest Models
Leading artificial intelligence companies including OpenAI, Google, and Anthropic are facing "diminishing returns" from their costly efforts...
Industry experts who spoke to Bloomberg attributed the challenges to the increasing difficulty in finding "new, untapped sources of high-quality, human-made training data" and the enormous costs associated with developing and operating new models concurrently with existing ones. Silicon Valley's belief that more computing power, data, and larger models will inevitably lead to better performance, and ultimately the holy grail – artificial general intelligence (AGI) – could be based on false assumptions, suggests the report. Consequently, companies are now exploring alternative approaches, including further post-training (incorporating human feedback to improve responses and refining the tone) and developing AI tools called agents that can perform targeted tasks, such as booking flights or sending emails on a user's behalf.
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