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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AI training
7 atoms · 跨 5 天 · 首见 2026-04-26 · 最近 2026-06-29
三色: 🟦 fact 3 · 🟥 take 4 · stance ▲0/▼2/◆4
来源: X 7
时态: fresh:6 · aging:1
标签: 好观点:5 · 好思考:2 · 好数字:1
叙事 (narrative) (5)
- 2026-06-29 · cost
Training cost dozens of millions.
tags: 好数字 · → daily
value: qty=dozens of millions
- 2026-05-24 · pre-training vs post-training mindset difference
There is a significant difference in mindset between people doing pre-training vs people doing post-training.
tags: 好思考 · → daily
- 2026-05-24 · stationary environments not right direction
I agree that stationary environments is definitely not the right direction.
tags: 好观点 · → daily
- 2026-05-24 · software architecture not the right problem
Software architecture is also not the right problem :)
tags: 好观点 · → daily
- 2026-04-26
[老化中] · competition increase
there’s obviously a lot more competition now on both the training side
tags: 好观点 · → daily
value: direction=up · date=现在
事实 (fact) (2)
- 2026-04-29 · stitches thousands of GPUs into one giant job
AI training does the reverse: it stitches thousands of GPUs into one giant job
tags: 好观点·好思考 · → daily
value: qty=thousands of GPUs
- 2026-05-13 · requires a single coherent cluster
Training models required a single coherent cluster. It’s essentially acting as one big computer.
tags: 好观点 · → daily
时间轴 (近 20)
- 2026-06-29 ·
narrative · cost · → daily
- 2026-05-24 ·
narrative · pre-training vs post-training mindset difference · → daily
- 2026-05-24 ·
narrative · stationary environments not right direction · → daily
- 2026-05-24 ·
narrative · software architecture not the right problem · → daily
- 2026-05-13 ·
fact · requires a single coherent cluster · → daily
- 2026-04-29 ·
fact · stitches thousands of GPUs into one giant job · → daily
- 2026-04-26 ·
narrative · competition increase · → daily
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