Name: Don't Let the AI Companies Think for You: Choosing the Right Model Without Falling for the Upgrade Trap
Start: 2026-07-28T22:00:00.000Z
End: 2026-07-29T00:00:00.000Z
Location: George Washington University, Washington, District of Columbia

Don't Let the AI Companies Think for You: Choosing the Right Model Without Falling for the Upgrade Trap

A Washington DC talk arguing against reflexively upgrading to newer AI models, walking through real tradeoffs in intelligence, cost, and latency to show when an older or smaller model is the better call.

Tue, Jul 28, 6:00 PMGeorge Washington University, Washington, District of Columbia

Why it matters

This is one of the few local events built entirely around model-selection discipline instead of model hype, a direct counterpoint to the industry's default upgrade-everything reflex.

The tokenmaxxing angle

This talk is the tokenmaxxing thesis in meetup form: picking the right model for the job on cost and latency grounds instead of defaulting to the newest, most expensive release.

From the organizers

Speakers Samiksha Kale (AI Engineer, Leidos) and Will Angel (AI Engineer, DroneDeploy) present at 2112 Pennsylvania Ave NW on July 28, hosted by Data Community DC.