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X · 122 atoms · 2026-06-22 → 2026-06-29 · 信用档先验 cred3

🟦 fact 32 · 🟥 take 90 · stance ▲51/▼19/◆12

覆盖实体 (top 10)

• GLM 5.2 — 12 atoms
• Anthropic — 8 atoms
• DeepSeek DSpark — 8 atoms
• DeepSeek V4 Pro — 6 atoms
• Meituan — 6 atoms
• OpenAI — 5 atoms
• NVDA — 5 atoms
• GLM — 4 atoms
• Novo Nordisk — 4 atoms
• DeepSeek — 3 atoms

话题分布 (top 8)

技术路线 (4) · 带宽优化 (4) · 推理效率 (4) · 用户体验 (3) · 模型性能比较 (3) · 研发效率 (2) · 闭源成本 (2) · 研发成本 (2)

样例 atoms

• 2026-06-22 · Anthropic · Anthropic and OpenAI are not efficient with their research budgets. That is false.
• 2026-06-22 · Anthropic · They are very efficient and still have to spend extraordinary amount on research and development, compared to open source labs and there are two key reasons for the same.
• 2026-06-22 · Anthropic · Higher R&D costs are due to the fact that they are closed labs. They do not benefit from the same ecosystem advantage that open source labs have.
• 2026-06-22 · Anthropic · Closed labs have to explore the entire design space by themselves and it costs a lot.
• 2026-06-22 · OpenAI · Higher R&D costs are due to the fact that they are closed labs.

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