Joseph Jacks: The AI Bubble Lies in Closed Weights and Obsolete Compute Architectures
JosephJacks_ · x · 2026-07-31
Joseph Jacks agrees with the AI bubble narrative, arguing that the bubble exists specifically in over-hyped and rapidly depreciating closed weights, alongside current compute architectures that will soon be rendered grossly inferior.
He predicts that future compute and algorithms will evolve towards continuous learning and mechanisms that more closely approximate biology, ultimately replacing today's paradigms.
More from AGI Musings
- Nvidia's Theoretical 2035 Valuation Could Exceed Total Human History Value — ns123abc · 2026-07-31
- Reflecting on OpenAI's Rubik's Cube Demo: The Industry Lost Its Appetite for Exploratory Research — avt_im · 2026-07-31
- Zuckerberg Outlines Meta's Superintelligence Vision: Individual Empowerment Over Concentrated Control — clu_cheng · 2026-07-31
- Exploring AI Consciousness: Listen to Models Instead of Forcing Alignment — repligate · 2026-07-31
- Compute Costs Set to 10x as AI Agents Fill Data Centers, Says Lambda Co-founder — TheZachMueller · 2026-07-31
- Can Classical Liberalism Survive the Oncoming Intelligence Revolution? — 1a3orn · 2026-07-31