Sidecar Sync
Sidecar Sync
Amith Nagarajan and Mallory Mejias
The Little AI Models That Could | 130
52 minutes Posted Apr 16, 2026 at 10:00 am.
Puppies & the Innovation Hub
The Little Models That Could
The Cost-vs-Intelligence Curve
Why Waiting on AI Is a Mistake
Hybrid AI Architectures for Associations
TurboQuant and the Math Behind Compression
What TurboQuant Means for RAG and Knowledge Bases
Jevons Paradox and the Future of Association AI
Readiness and What Comes Next
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Send us Fan Mail This week on Sidecar Sync, Amith Nagarajan and Mallory Mejias trace one of the biggest stories in AI: how cutting-edge intelligence keeps getting compressed into smaller, faster, cheaper models. From GPT-4-era pricing to today’s open models like Gemma 4, they unpack the forces driving this shift, including distillation, mixture-of-experts architectures, quantization, and Google Research’s new TurboQuant breakthrough. Along the way, they explore what this means for association...