Person
Shaun Maguire
Training DataDylan Patel
Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis
Dylan Patel argues that AI’s biggest gains come from hardware-software-model co-design, not raw chip speed alone. He also makes the case that inference is becoming a giant market, and that benchmarking, supply chains, and data-center economics will determine who wins.
Training DataDan Biderman, Jessy Lin
Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin
Engram’s Dan Biderman and Jessy Lin argue that AI’s real bottleneck is memory and continual learning, not raw intelligence. Their thesis is to bake company-specific knowledge into model weights so teams get faster, cheaper, more context-aware models that improve over time.