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Josh Bersin ✓

@Josh_Bersin · California · joined 24 Mar 2008

Corporate Talent, HR, & Tech Analyst, research, advisory in HR, mgt, tech, https://t.co/G1NeCLWtok, Get Galileo, the AI Agent for HR https://t.co/nPNxON7yUP

62 885Followers
927Following
6 547Posts total
8.8KViews on collected posts

Latest posts

i’ve been using @OpenAI #Astra and it’s pretty powerful. In fact, it seems to predict what you’re trying to do very aggressively. However, I also just read the following article from Open AI. https://t.co/K31dp9bc6O @merettm essentially says that they’re worried about this 1.8K views · 3 likes · 0 reposts · 3 replies Open on X →
@Josh_Bersin Companies can create the same problem internally. If agents keep learning from agent-written summaries, small errors harden into “company knowledge.” The source has to stay connected to the people and work that produced it. 2 views · 0 likes · 0 reposts · 0 replies Open on X →
@Josh_Bersin The line about feeling machines that learn to reason versus reasoning machines that learn to feel is the clearest way I've heard this put. Where it gets practical for me is the part about rules not being fully obeyed. In the agent work I do, that's not a philosophy q 13 views · 1 likes · 0 reposts · 0 replies Open on X →
https://t.co/86pQMBgMTr 1.9K views · 1 likes · 0 reposts · 2 replies Open on X →
@Josh_Bersin Crucial point. As synthetic data loops increase, the demand for authentic, human-curated knowledge and specialized skill development will skyrocket to keep models relevant. 2 views · 1 likes · 0 reposts · 0 replies Open on X →
I never thought Peggy Noonan would speak out against corruption like this. Maybe the country is moving in the right direction after all. @Peggynoonannyc https://t.co/yGPQRAkjve 1.7K views · 3 likes · 1 reposts · 1 replies Open on X →
The frontier labs are starting to eat their own slop and overtraining their models. This could be one of the biggest challenges for these big content platforms. https://t.co/JZuRNZITIb 2K views · 4 likes · 0 reposts · 4 replies Open on X →
@workday update, @meta personal AI, frontline work, and the new role of Galileo as HR demand for AI grows. https://t.co/mdcjOQniJY https://t.co/qDYd5LhALm
1:14
1.4K views · 7 likes · 0 reposts · 0 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.

Median views1 565this account924median for 10K–100K
Reach, %2.49%this account3.62%median for 10K–100K
Engagement, %0.37%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1 5659241.69×
Reach (views ÷ followers)2.49%3.62%0.69×
Engagement rate0.37%1.52%0.24×

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

1.4K14 Aug
2K15 Aug
1.7K21 Aug
224 Aug
1.9K
13
230 Aug
1.8K7 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.50%14 Aug
0.40%15 Aug
0.29%21 Aug
50.00%24 Aug
0.16%
7.69%
0.00%30 Aug
0.34%7 Sep

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

What the audience does

Likes58.8%20 in total
Reposts2.9%1 in total
Replies29.4%10 in total
Bookmarks8.8%3 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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