AI Brief: Text Agents Beat VLMs, New Model, Agent APIs

A widely-shared take argues that text-first agents outperform VLM agents by a quadratic margin, suggesting that text-only LLM agents with full context and tool access can solve problems 1000 times harder than VLM agents, with the gap widening quadratically. The post also highlights 'Ox 牛来' as August's surprise model, claiming it outperforms DeepSeek V4-flash-vision-exp, and notes that Tonghuashun has shipped an official A-share data API with MCP support, aimed at agent workflows.

A quick digest of AI-relevant signals from Chinese tech channels — one opinion worth arguing with, one new model worth testing, and two tool updates for agent workflows. ▸ Text-first agents beat VLM agents — by a quadratic margin @openclaw1024 : A widely-shared take argues VLM is a dead end: 100k tokens of text carries far more information density than images, let alone video. The argument runs like this — if a 1T–10T-parameter VLM agent can solve a problem of difficulty X, an equivalent text-only LLM agent given full context, memory, wiki, and tool access text/bash/cli/api/mcp solves 1000X. And the gap keeps widening: by the time VLMs reach 1000X, text agents are already at 1000² ·X. Provocative, but a useful counterweight to multimodal hype. ▸ "Ox 牛来" is being called August's surprise model @aigc1024 : The channel rates it the most impressive model release this month and claims DeepSeek V4-flash-vision-exp can't compete. It's free for 7 days and already live on Cola, OpenRouter, Hermes, and Opencode — worth a spin if you're comparing vision-capable models. ▸ Tonghuashun ships an official A-share data API with MCP support @https1024 : The new Financial-API covers market snapshots, daily K-lines, financials, sector data, limit-up, and dragon-tiger lists. One key works across REST, Python, CLI, and MCP, with local DuckDB for storage — aimed squarely at Cursor/Claude-style agents for quant scripts, financial analysis, and automated pipelines, and a way to retire your self-maintained scrapers. An English version of the announcement was cross-posted, signaling an overseas push. ▸ ChatGPT + Flightpoints plugin for award-mile searches @knowledge1024 : A quick tip — the Flightpoints plugin lets ChatGPT search mileage award tickets directly in chat, saving a trip to airline portals. Bottom line: multimodal agents are being talked down in favor of text-plus-tools, model churn keeps accelerating, and Chinese data vendors are now shipping MCP-native APIs for the agent ecosystem.