Evaluating AI Models: Beyond Reward Predictions
AI models often miss the mark by focusing solely on reward predictions. A new diagnostic approach suggests we need to look deeper.
Read the full articleYou might also wanna read
The Significance of Generalization in AI Systems and the Quest for Consciousness
This blog post outlines a key engineering principle I’ve come to believe strongly in for building general AI systems with deep learning. Thi
AI Digs Data Over Dogma. Are Biological Complexities a Thing of the Past?
As AI transcends specific research niches to offer a universal data-driven approach, I mourn the simplification of biology’s intricacies.
Examining the Limitations of Transformer Models and the Gap to Human-Level AI
February 14, 2026
dlants.me·4mo agoResearch Analysis: How AI Models Optimize Reasoning for Training Rewards Rather Than Truth
Many AI enthusiasts debate whether Large Language Models actually "reason." My research indicates that a reasoning process does indeed occur
The dangerous myth of the ‘best’ AI model
Which AI model is best? The answer isn't one provider, it is a combination through model-independence.
Relational Intelligence (RQ): The Leadership Advantage Nobody Is Talking About
Remember the hype around NFTs? Is AI in a similar hype-cycle? We're still hoping our Bored Apes will come good.
Comments
Sign in to join the conversation.
No comments yet. Be the first.