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Machine Learning Street Talk ✓

@MLStreetTalk · London · joined 24 Apr 2020

MLST is by Dr. Tim Scarfe @ecsquendor w/ cameos from @DoctorDuggar https://t.co/5YCv2SdFwN (early access/priv.discord) - Sponsor us!

39 352Followers
774Following
5 378Posts total
90.1KViews on collected posts

Latest posts

🤯 5.2K views · 24 likes · 0 reposts · 1 replies Open on X →
Fable 5.1 is mind-blowingly good, but the limits on the Max 20x plan are a joke. - You can easily burn through the 5 hour limit in about 20 minutes - The "weekly" limit seems to be about 2x 5 hour limits' worth. Seriously?! So basically you can burn a week's worth of tokens 18.7K views · 237 likes · 17 reposts · 42 replies Open on X →
Concerning https://t.co/RRjI4qbxDj 5.9K views · 40 likes · 0 reposts · 8 replies Open on X →
EMERGENCY PODCAST: The recent paper on the reasoning heist went super viral. It was also 100+ pages long and you didn't have time to read it. The authors @iliaishacked and @kotekjedi_ml unpack the paper and discuss model distillation. https://t.co/ogZp362BxE 16.8K views · 156 likes · 22 reposts · 5 replies Open on X →
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION] https://t.co/xumXW7MUeB 1.6K views · 4 likes · 1 reposts · 1 replies Open on X →
@MLStreetTalk @fchollet Game of life 296 views · 1 likes · 0 reposts · 0 replies Open on X →
The Kaleidoscope Hypothesis by @fchollet https://t.co/zwlzKu91gr 41.7K views · 166 likes · 21 reposts · 12 replies Open on X →

Against accounts of the same size

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

Median views11 328this account924median for 10K–100K
Reach, %28.79%this account3.62%median for 10K–100K
Engagement, %0.98%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post11 32892412.3×
Reach (views ÷ followers)28.79%3.62%7.95×
Engagement rate0.98%1.52%0.64×

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

41.7K14 Jan
296
1.6K18 Jan
16.8K14 Aug
5.9K25 Aug
18.7K2 Sep
5.2K4 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.48%14 Jan
0.34%
0.38%18 Jan
1.12%14 Aug
0.83%25 Aug
1.59%2 Sep
0.48%4 Sep

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

What the audience does

Likes67.0%628 in total
Reposts6.5%61 in total
Replies7.4%69 in total
Quotes1.2%11 in total
Bookmarks17.9%168 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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