Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

Op-Ed: DeepSeek V4 strikes — China accused of ‘distillation’ but some heavy-duty metrics as well

AI-saturated headlines notwithstanding, the fan has been hit hard by DeepSeek V4 in multiple contexts. This thing is ...

Deepseek V4 : Why Its 1.6 Trillion Parameters Aren’t Quite Enough

Read our full test of Deepseek v4 Pro and Flash to see how their real-world performance compares to their impressive ...
The Droid Guy

I Spent 24 Hours Benchmarking GPT-5.5 Against Claude Opus 4.7 — Here Is What Actually Happened

Within hours I paused an ongoing Opus 4.7 benchmark, swapped the API keys, and ran the exact same methodology on ...