OpenAI releases GPT-6 Luna at $0.10/M input and $0.50/M output, scoring 66.6% on DeepSWE to match Claude Opus 5 at 93% lower per-task operational cost.
Real-world Grok 4.7 testing reveals severe quota burn, 3D benchmark regressions, and context degradation despite advertised 46.3% CursorBench gains.
Extending test-time compute can collapse LLM accuracy. Here is the forensic math on Goodhart gaming, attention drift, and why latent recurrent depth wins.
Imagine a world where you can deploy a model with the reasoning depth of Claude 4.5 Opus,…
If you have been reading the headlines over the last few months, you might be convinced that…