Listen "HypeCloudAI s01 Finale: 2025 AI wrap"
Episode Synopsis
In this end-of-year episode, Bonnie Murthy and Ross Monaghan look back at what actually mattered in AI in 2025.
From DeepSeek and early scientific breakthroughs, through the acceleration of models, agents, and enterprise adoption, to late-year debates on regulation, energy, and geopolitics, they trace how fast AI moved and where the cracks started to show.
They cover:
Why “AI slop” and “vibe coding” stuck
Where AI delivered real value (and where it didn’t)
The reality of agents, automation, and trust
Market nerves, misuse, and the bubble question
Regulation, power constraints, and global competition
Competing visions of AI-driven abundance vs restraint
A grounded wrap-up of the year — filtering signal from the noise, and setting the context for what 2026 is likely to bring.
From DeepSeek and early scientific breakthroughs, through the acceleration of models, agents, and enterprise adoption, to late-year debates on regulation, energy, and geopolitics, they trace how fast AI moved and where the cracks started to show.
They cover:
Why “AI slop” and “vibe coding” stuck
Where AI delivered real value (and where it didn’t)
The reality of agents, automation, and trust
Market nerves, misuse, and the bubble question
Regulation, power constraints, and global competition
Competing visions of AI-driven abundance vs restraint
A grounded wrap-up of the year — filtering signal from the noise, and setting the context for what 2026 is likely to bring.
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