Jelani Nelson ✓

@minilek · Berkeley, CA · joined 11 Feb 2009

Member of Technical Staff @AnthropicAI. On leave from @Berkeley_EECS. Founder @addiscoder. Posts are personal views. 🇻🇮🇺🇸🇪🇹

51 526Followers

350Following

4 647Posts total

957KViews on collected posts

Derniers posts

Jelani Nelson ✓@minilek20 Sep

Very sad article to read. 30.7K views · 326 likes · 12 reposts · 12 replies Open on X →

Jelani Nelson ✓@minilek18 Sep

The University of California Board of Regents heard presentations on the SAT on Wednesday, specifically on whether it should be re-introduced into freshman admissions. I found the below excerpt from one presentation illuminating: "the statistical power of tests in predicting ht

0:11

264.4K views · 964 likes · 110 reposts · 162 replies Open on X →

Jelani Nelson ✓@minilek16 Sep

Science isn’t being totally honest here. To quote the memo: “investigator-driven funding opportunities provide researchers with the freedom to pursue bold ideas shaped by their own curiosity, with the goal of advancing scientific progress without regard to practical application 16.6K views · 69 likes · 6 reposts · 7 replies Open on X →

Jelani Nelson ✓@minilek15 Sep

The National Science Foundation (NSF) has issued a 10-page memo signaling a retreat from its traditional role of giving grants to individual researchers to pursue their best ideas and to train the next generation of scientists. Instead, the memo makes clear, NSF will devote the 549.8K views · 1K likes · 403 reposts · 77 replies Open on X →

Jelani Nelson ✓@minilek12 Sep

Fire whoever’s running this social media account @DHSgov. They’re an embarrassment to our country. 77K views · 388 likes · 14 reposts · 14 replies Open on X →

Jelani Nelson ✓@minilek10 Sep

To those claiming catastrophic negative outcomes are impossible science fiction, 5 yrs ago ~50% accuracy was sota for LLMs on math like the below (src: GSM8K). It then took a couple yrs to saturate that benchmark. We’re already living in science fiction, and it’s accelerating. ht

18.6K views · 271 likes · 25 reposts · 11 replies Open on X →

Face aux comptes de taille comparable

6 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes53 808ce compte996médiane pour 10K–100K

Portée, %104.43%ce compte3.84%médiane pour 10K–100K

Engagement, %0.52%ce compte1.51%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	53 808	996	54.0×
Portée (vues ÷ abonnés)	104.43%	3.84%	27.2×
Taux d'engagement	0.52%	1.51%	0.35×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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

18.6K10 Sep

77K12 Sep

549.8K15 Sep

16.6K16 Sep

264.4K18 Sep

30.7K20 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.66%10 Sep

0.54%12 Sep

0.30%15 Sep

0.51%16 Sep

0.49%18 Sep

1.15%20 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.51%.

What the audience does

Likes59.9%3 039 in total

Reposts11.2%570 in total

Replies5.6%283 in total

Quotes4.4%221 in total

Bookmarks18.9%960 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.