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Correcting Bias in LLMs with DSPy

Correcting Bias in LLMs with DSPy

Mike Taylor
May 21, 2025 • By Mike Taylor

Left unchecked, large language models can massively distort reality. Our baseline simulation showed 90.6% of AI personas voting Democrat, a 40-point deviation from expected. But with DSPy optimization, we achieved near-perfect political balance, proving that prompt calibration isn’t optional, it’s essential.

How AI Exposes Our Double Standards

How AI Exposes Our Double Standards

Rhys Fisher
April 29, 2025 • By Rhys Fisher

Polls say most of us believe in “equal justice,” yet the moment a headline names our hero or our villain, our moral math flips. In my latest experiment, I fed Rally personas a stream of fake social-media posts and hard coded them to have a favorite between Kanye and Will Smith. The result? Turns out AI has double standards. So do humans. We witnessed how virtual audience simulations could be used to pressure-test in silicon before PR teams click publish.

Why Stated Values Die at Checkout

Why Stated Values Die at Checkout

Rhys Fisher
April 26, 2025 • By Rhys Fisher

When it’s your money on the line, do you really pay double for "Made in USA"? Ramon tested it with real shoppers and walked away empty handed. We tested real-time buyer decisions using role-playing agents, and the results might surprise you.

How to Prompt in Rally: It’s Different Than GPT

How to Prompt in Rally: It’s Different Than GPT

Rhys Fisher
April 23, 2025 • By Rhys Fisher

Prompt engineering got its hype moment when Anthropic flashed a $225 K salary for anyone who could bend words into gold. Rally raises the stakes. It lets you address a stadium of GPT personas at once—but that power demands a new playbook: virtual-audience simulation prompting. Treat the crowd like a poll (“How many of you prefer …?”) and you get lukewarm averages. Challenge them like a panel (“Pick A, B, or C—defend your choice”) and every agent steps up with sharp, contrasting takes that expose blind spots, trade-offs, and hidden opportunities. The gap between those two sentences is the difference between genuine market signal and background static. This article shows you how to close it.