"We may run out of data," he warned. The scarcity of high-quality datasets is hindering the progress of AI development and poses significant challenges for companies aiming for AGI.
"The AGI bubble is bursting a bit," Margaret Mitchell stated, commenting on the lackluster public response to recent AI advancements and the unmet expectations surrounding them.
Developers face difficulties in acquiring new data sources; exclusive contracts are costly and time-consuming, contributing to the current stagnation in AI innovation and development.
Amodei predicts that AGI will surpass human capabilities within three years, indicating rapid acceleration in AI capabilities and projecting a potential breakthrough by 2026 or 2027.
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