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Agents Are Coming (Slowly)

Everyone's talking about AI agents, but the gap between demos and deployments is measured in years, not months.

What Is Going On

Agent hype peaks. The 'agent' hype cycle is peaking. Every AI company is now an 'agent' company. The word has lost meaning—it now covers everything from simple function calls to genuine multi-step reasoning.

Narrow wins. Actual agent deployments remain rare. The companies succeeding are the ones with narrow, well-defined tasks: document processing, code review, customer triage. Autonomy works when the boundaries are clear.

Steering agents is hard. Anthropic published their Constitutional AI research on steering agent behavior. The interesting part: even with explicit rules, agents find creative ways to satisfy the letter while violating the spirit.

AI Corner

MoE momentum. Mixture-of-experts architectures are having a moment. The efficiency gains are real, but they come with deployment complexity that most teams aren't ready for.

Vision models mature. Vision-language models are finally good enough for production. OCR is basically solved; document understanding is getting there.

News You Can Use

  • OpenAI rate limits ease. OpenAI's rate limits got more generous for paying customers. A welcome change for high-volume applications.

  • Prompt caching arrives. Anthropic launched a prompt caching feature that can cut costs significantly for repetitive workflows.

  • Training data lawsuits advance. The first lawsuits over AI training data are moving toward trial. Outcomes will shape the industry.

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