Model Mergers: When Frankenstein AIs Are Built from Bits of Everyone's Brain Explore the rise of model mergers—AI stitched from bits of everyone’s brain—and the ethical questions they raise.
The Overfit Oracle: When Models Memorize Instead of Understanding Discover how overfitting turns AI models into brilliant mimics—smart on the surface, flawed underneath.
Parameter Paradox: When Bigger Models Think Less Clearly Are larger AI models actually smarter? Explore the parameter paradox and why smaller, sharper models may be the future.
Model Amnesia: When AIs Forget What Made Them Smart AI models are evolving fast—but sometimes they forget key abilities. Why model amnesia could be the next big trust issue in AI.
Promptnesia: When AI Forgets How to Think Without You Has AI become too dependent on prompts to function? Explore how intelligent systems lose initiative when they can’t act without human cues.
The Model Mirage: When Open-Source AIs Look Transparent But Learn in Shadows Open-source AI promises transparency, but are we really seeing the full picture? Explore the illusion behind today’s most “open” models.
Prompt Darwinism: When Only the Smartest Queries Survive Explore Prompt Darwinism—where only the cleverest, most optimized prompts thrive in today’s AI ecosystem.