When Will the Models be Good Enough?

Episode notes

SUMMARY: Brian and Aaron explore the current state and future of AI models, focusing on model size, model harnessing, and intelligent model routing. They discuss whether bigger models are always better, the economics of AI, and how enterprise applications can benefit from tailored AI solutions. SHOW: 1048 SHOW TRANSCRIPT: The Enterprise AI Show #1048 Transcript SHOW VIDEO: SHOW SPONSORS: ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this! Nasuni - Activate your data for AI and request a demo Topic: When will the models/harnesses be good enough? Why now? Benchmark Maxxing - cost to build/host/maintain 1+ trillion parameter model Past: The “wow” moments in versions really stopped around GPT4… (maybe?) Present: Race to the top/bottom, millions spent to gain SOTA for a few days Future: Will the pendulum swing back? Will bigger/faster always rule? FEEDBACK? Email: show @ the enterprise ai show dot com Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow

• Securing AI Agents in the Enterprise: NanoClaw, Zero Trust Guardrails, and Governance at Scale78 / 100
• Do You Even Need That Trillion-Parameter Model?63 / 100
• Unstructured Data in an AI World71 / 100
• How Open-Source is Reshaping the AI Infrastructure Stack
• Vitamins vs. Pain Killers vs. Whippets - The Enterprise AI Adoption Problem