Practitioners Advise Overprovisioning Frontier Models at AI Feature Launch

Matt Slotnick argues that new AI features should launch with frontier models overprovisioning intelligence, since premature optimization lacks workload data. The priority is identifying high-value workflows first, then using post-training to adapt and cut costs later.

2026-09-25 ~ 2026-09-25 · 4 related posts

• Identify high-value workloads first: enterprise AI optimization before data is a mistake — matt_slotnick · 2026-09-25
• Why upfront optimization of AI features is unwise: launch, learn, then post-train — matt_slotnick · 2026-09-25
• Launching AI Features With Weaker Models Is Counterintuitive, Says Practitioner — matt_slotnick · 2026-09-25
• Launch on frontier models first, post-train to cut costs later: the standard playbook — matt_slotnick · 2026-09-25