vibe_codingBACKGROUND
Tiered models separate public and private capabilities
BACKGROUND
1 SIGNALFIRST DETECTED 3 July 2026
Narrative synthesis pending — 1 signal collected.
How the story developed
3 Jul
Tiered models separate public and private capabilities
REPORT · WHAT · Dev.to
Other feeds and industry voices
14 Oct
AI models can provably hide capabilities: encrypted networks inside the weights stay hard to elicit by fine-tuning, weight noise or adversarial training
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1x5kpng/ai_models_can_provably_hide_capabilities/"> <img alt="AI models can provably hide capabilities:
OPINION · WHAT · OpenAIOPEN STORY
27 Apr
Alignment Makes Models More Decisive Without Making Them More Truthful
<!-- SC_OFF --><div class="md"><p>​</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find
OPINION · HOW · ArtificialInteligenceOPEN STORY
18 May
could refusal layers be masking dialect-conditioned safety failures in MoE models [d]
<!-- SC_OFF --><div class="md"><p>I set out to test whether AAVE-coded (African American English Vernacular) prompts cause MoE language models to route, deliberate, and respond
OPINION · WHEN · MachineLearningOPEN STORY
Sources
Dev.to
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