Empirical Research in Machine Learning Ended Math’s Monopoly
A theorem-first paper and an ablation-heavy systems paper can now describe the same model class and leave with very different…
-
-
Agentic Sandbox Escape Proves Sandboxing Isn’t Enough
The consensus take on agentic sandbox escape is simple enough: a powerful model was told to break out, it did,…
-
AI Memory System: Why MemPalace Matters More Than Fame
A useful AI memory system does something boring and hard: it decides what to keep, what to forget, and what…
-
Speculative Decoding’s Ceiling Just Moved With DFlash
A serving engineer watches tokens arrive in that familiar trickle: fast enough to demo, slow enough to feel like the…
-
Reduce LLM Hallucinations? Why ‘Make-No-Mistakes’ Fails
The first time you see it, it’s kind of perfect: a tiny folder in your Cursor skills called make-no-mistakes. One…
-
Public Misconceptions About AI Are Breaking the Wrong Things
The boss leans back in his chair, taps the laptop screen, and says it again, slowly this time, as if…
-
AI Model Collapse Is Happening: Treat Data as Code Now
If you’ve asked an LLM for a simple command lately and watched it flail through three wrong answers, you’ve already…
-
Claude Code Leak: Why the Harness, Not the Model
If you tried to clone Claude Code last week, the hard part wasn’t the model. It was rebuilding half a…
-
Claude vs ChatGPT: Why Claude Feels More Honest and Accurate
A 100‑question “bullshit benchmark” sounds like a joke until you see the chart. In BullshitBench v2, Anthropic’s Claude models sit…
