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Nick

@nickcammarata · 🎈 · joined 16 Mar 2009

mechanistic interpretability, meditation, jhana brother

96 435Followers
904Following
58 816Posts total
112.1KViews on collected posts

Latest posts

@nickcammarata tweet of the year 🙏🏼 243 views · 1 likes · 0 reposts · 0 replies Open on X →
@nickcammarata In fairness to the primates they discovered a lot of pretty deep theory to enable matmul. Not easy, and worth recognition. 287 views · 6 likes · 0 reposts · 0 replies Open on X →
if you had to live one life as a dinosaur, would you want to be around for chixculub 1.2K views · 3 likes · 0 reposts · 4 replies Open on X →
@nickcammarata humans, known for subjugating themselves to The Peptides ... 2K views · 18 likes · 0 reposts · 0 replies Open on X →
humans, a bipedal primate notable for early contributions to matrix multiplication 30.3K views · 1.9K likes · 101 reposts · 13 replies Open on X →
imagine explaining to fermat that we had a guy in a computer write fourteen million lines of lean but we have a pretty good grasp on his conjecture now 24.4K views · 818 likes · 20 reposts · 11 replies Open on X →
@nickcammarata dont think i ever seen a 100% score on a benchmark 389 views · 3 likes · 0 reposts · 0 replies Open on X →
@nickcammarata AI is hitting a wall 3.1K views · 91 likes · 0 reposts · 6 replies Open on X →
@nickcammarata It also can bend backwards too 3.9K views · 89 likes · 1 reposts · 0 replies Open on X →
Astra is able to bend backwards the cost/performance continuum https://t.co/Uq0b1RjCfI 6.5K views · 46 likes · 3 reposts · 2 replies Open on X →
woke up, bleary eyes saw this and im like wow it bends early they must not have figured out reasoning yet then i realized it bent bc it finished it https://t.co/kqrGFZryzT 29.7K views · 873 likes · 9 reposts · 4 replies Open on X →
cot monitoring starting to fail is sad, and we should do everything we can to prevent that that said, i think interpretability is the real solution to knowing what neural networks are actually doing, and i've never been so optimistic about it 9.8K views · 227 likes · 5 reposts · 16 replies Open on X →

Against accounts of the same size

12 posts from the last 90 days, next to the 10K–100K follower range. right around the median for its follower range.

Median views3 514this account965median for 10K–100K
Reach, %3.64%this account3.33%median for 10K–100K
Engagement, %2.19%this account1.85%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post3 5149653.64×
Reach (views ÷ followers)3.64%3.33%1.09×
Engagement rate2.19%1.85%1.18×

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

9.8K2 Sep
29.7K3 Sep
6.5K
3.9K
3.1K
3894 Sep
24.4K
30.3K6 Sep
2K
1.2K
287
243

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.54%2 Sep
3.00%3 Sep
0.80%
2.29%
3.12%
0.77%4 Sep
3.49%
6.62%6 Sep
0.89%
0.56%
2.09%
0.41%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.85%.

What the audience does

Likes89.3%4 068 in total
Reposts3.1%139 in total
Replies1.2%56 in total
Quotes0.2%11 in total
Bookmarks6.1%279 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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