以下部分引用 AI 总结，现阶段 AI 仍然有幻觉。请以内容的原文为准。
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GPT-4
10 atoms · 跨 8 天 · 首见 2026-05-05 · 最近 2026-07-02
三色: 🟦 fact 6 · 🟥 take 4 · stance ▲1/▼1/◆4
来源: X 10
时态: fresh:9 · aging:1
标签: 好数字:6 · 好观点:4 · 好信源:2
叙事 (narrative) (4)
- 2026-06-25 · 能力描述
gpt4 language translation
tags: 好观点 · → daily
- 2026-06-16 · 未观察到向上扩展进步至 Mythos
Zero upwards scaling progress between GPT-4 and Mythos
tags: 好观点 · → daily
value: direction=none
- 2026-06-14 · 开源版本存在性
Everyone had hard time imagining world with open gpt-4 and it feels so trivial now.
tags: 好观点 · → daily
- 2026-05-05
[老化中] · 帮助解决个人问题的体验变化
normies on the bus would tell me GPT-4 was helping with their personal problems
tags: 好观点 · → daily
事实 (fact) (6)
- 2026-06-04 ⭐ · 伦理建议偏好度
Prolific受试者对AI的相对偏好率: 60.15%; MBA学生对AI的相对偏好率: 51.33%; 专家对AI的相对偏好率: 55.45%
tags: 好数字·好信源 · → daily
value: qty=50% · date=2023-10-25
- 2026-05-17 ⭐ · base model calibration vs post-trained model calibration
In the GPT-4 there was a slide on the calibration of base-model vs the final post-trained model. The base model was almost perfectly calibrated, the post-trained model wasn't.
tags: 好数字·好信源 · → daily
- 2026-06-04 · FLOPs
the flops I used: 3.8e26
tags: 好数字 · → daily
value: qty=3.8e26
- 2026-07-02 · launch price per 1M tokens
gpt-4 on launch costed 30/60 per 1M tokens
tags: 好数字 · → daily
value: qty=$30/$60
- 2026-07-02 · leader duration on Epoch Capabilities Index
OpenAI’s GPT-4 led the Epoch Capabilities Index for 352 days after its March 2023 release, far longer than any model since.
tags: 好数字 · → daily
value: qty=352 days · date=2023-03-14
- 2026-06-13 · used µP to predict performance at 1.8T params
GPT-4 famously used µP to predict performance at 1.8T params; 4 years ago.
tags: 好数字 · → daily
value: qty=1.8T params · date=4 years ago
时间轴 (近 20)
- 2026-07-02 ·
fact · launch price per 1M tokens · → daily
- 2026-07-02 ·
fact · leader duration on Epoch Capabilities Index · → daily
- 2026-06-25 ·
narrative · 能力描述 · → daily
- 2026-06-16 ·
narrative · 未观察到向上扩展进步至 Mythos · → daily
- 2026-06-14 ·
narrative · 开源版本存在性 · → daily
- 2026-06-13 ·
fact · used µP to predict performance at 1.8T params · → daily
- 2026-06-04 ·
fact · 伦理建议偏好度 · → daily
- 2026-06-04 ·
fact · FLOPs · → daily
- 2026-05-17 ·
fact · base model calibration vs post-trained model calibration · → daily
- 2026-05-05 ·
narrative · 帮助解决个人问题的体验变化 · → daily
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