
LLM Evals: The Bridge from Demo to Production
Shipping a reliable LLM feature means instrumenting it with purpose-built evals, not just relying on basic tests.
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Widespread automation could displace millions, creating a stark divide between the educated elite and the unemployed masses.

Newer generation smaller model equals older larger model's performance on writing correction, but with significant speed gains.

The next frontier for AI agents isn't more powerful LLMs, but solving the core engineering challenges of memory, trust, and decision-making.

Shipping a reliable LLM feature means instrumenting it with purpose-built evals, not just relying on basic tests.

Maintainable AGENTS.md files are key to agent reliability. Here's the discipline to keep them true.

A novel typographic approach creates text readable by people but invisible to AI OCR, raising questions for digital accessibility and security.

Beyond benchmarks, one user sought the AI companion that truly understands conversational nuance in daily life.

A novel deterministic layer prunes redundant tokens from LLM prompts, reducing costs and improving performance in production.

A simpler path to building your own AI agent involves starting with a dashboard and layering agent capabilities later.

A critical security flaw in Codex's memory consolidation process, allowing sub-processes to bypass sandbox restrictions, has been patched.

A UK government agency has identified critical vulnerabilities allowing jailbreaks in the latest GPT model, raising significant safety concerns.

Apple claims a former hardware exec poached employees and stole proprietary information to aid OpenAI's device ambitions.

The most advanced AI systems continue to fabricate information, a problem with both humorous and serious implications.