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李继刚

@lijigang · joined 01 Jun 2013

我与 AI 周旋久,宁做我

55 025Followers
37Following
1 165Posts total
224.7KViews on collected posts

Latest posts

@lijigang 他俩其实没有隔离关系。非要说的话,llm 原本能做的“判断”,现在让 jev 做起来更可靠快速而已。Jev 是 llm 的子集,是一种“产品”形态。 473 views · 5 likes · 0 reposts · 0 replies Open on X →
@lijigang https://t.co/a3G5m2Airi
1.3K views · 13 likes · 2 reposts · 1 replies Open on X →
@lijigang https://t.co/K9koEOtEcE
934 views · 6 likes · 0 reposts · 2 replies Open on X →
是不是可以这么理解: llm:问答题 jev:选择题 46K views · 167 likes · 5 reposts · 179 replies Open on X →
Agent = Harness(LLM) Result = Agent(Context) 9.7K views · 41 likes · 2 reposts · 2 replies Open on X →
"我通过学习获得能力,通过能力获得工作,通过工作获得收入、社会认可,以及对自身价值的确认。" 这是一种很容易被内化的生活逻辑,但这条链从来不是自然定律。能力能否变成岗位,劳动能否换来体面生活,还取决于社会怎样组织生产、分配收益。 当 AI 11.3K views · 117 likes · 10 reposts · 10 replies Open on X →
一个交互设计问题: 在手机端和模型聊天,输入一个问题,它输出一大段回答,并直接滚动到了结尾处。 为了阅读它的回答,需要不断上滑,找到起始处。 这里的交互,是不是可以改为直接定位到起始处? “一个用户省去上滑的 3s,1000 万个用户省去了多少时间?” 13K views · 65 likes · 2 reposts · 54 replies Open on X →
@lijigang 非常喜欢李老师的SKILL和对大模型的深刻理解。 2.3K views · 1 likes · 0 reposts · 0 replies Open on X →
@lijigang 感恩李老师开源,作为一个四线小城市的普通人,能接触到您的思想,感谢 ai 时代 3.1K views · 1 likes · 0 reposts · 0 replies Open on X →
@lijigang https://t.co/YBX1pgKDhC 稳稳的接住你 2.2K views · 3 likes · 0 reposts · 0 replies Open on X →
给这个世界的一份答卷: https://t.co/q9JL7v4nXv 134.5K views · 800 likes · 106 reposts · 74 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views9 687this account987median for 10K–100K
Reach, %17.60%this account3.79%median for 10K–100K
Engagement, %0.94%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post9 6879879.81×
Reach (views ÷ followers)17.60%3.79%4.65×
Engagement rate0.94%1.52%0.62×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

134.5K11 May
2.2K
3.1K
2.3K12 May
13K17 Sep
11.3K18 Sep
9.7K
46K22 Sep
934
1.3K
473

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.74%11 May
0.13%
0.03%
0.04%12 May
0.94%17 Sep
1.23%18 Sep
0.49%
0.78%22 Sep
0.86%
1.27%
1.06%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes40.5%1 219 in total
Reposts4.2%127 in total
Replies10.7%322 in total
Quotes0.8%24 in total
Bookmarks43.8%1 319 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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