Pluralis Research

@Pluralis · joined 03 Jul 2024

Pluralis is a research lab focused on collectively-owned AI.

13 338Followers

0Following

218Posts total

151.7KViews on collected posts

Against accounts of the same size

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

Median views5 437this account2 259median for 10K–100K

Reach, %40.76%this account6.80%median for 10K–100K

Engagement, %0.67%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	5 437	2 259	2.41×
Reach (views ÷ followers)	40.76%	6.80%	5.99×
Engagement rate	0.67%	1.52%	0.44×

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

91.4K20 May

4.7K11 Jul

3.6K

35K15 Jul

6.1K16 Jul

6.6K7 Aug

4.2K13 Aug

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

0.45%20 May

0.80%11 Jul

0.48%

0.63%15 Jul

1.42%16 Jul

0.20%7 Aug

0.71%13 Aug

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

What the audience does

Likes57.9%619 in total

Reposts9.3%99 in total

Replies4.9%52 in total

Quotes3.9%42 in total

Bookmarks24.0%257 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.

Latest posts

Our founder @AlexanderLong at @StanfordSBA with @jbrukh of @coinfund, discussing whether decentralized training can match datacenter training speed and how we can ensure the future of models remains open and accessible to everyone. 4.2K views · 24 likes · 5 reposts · 1 replies 13 Aug 2026 @AlexanderLong of @Pluralis in conversation with @jbrukh of @coinfund on whether decentralized training can actually perform 👇 https://t.co/2HboVqqETU 6.6K views · 8 likes · 2 reposts · 1 replies 07 Aug 2026 60 page tech report detailing Agora and the run it just powered now on Arxiv. Spans many different fields, from communication-efficient model parallelism, asynchronous optimization, to fault-tolerant systems design. https://t.co/Zms5vFD3C1 6.1K views · 63 likes · 16 reposts · 5 replies 16 Jul 2026 RL post-training on Macs 14 Macs across 4 countries generate every rollout for the run. Everything's running over the internet. No wire between any of them. As far as we can tell, this is the first RL post-training run with its whole rollout fleet on consumer Macs. https://t.co 35K views · 169 likes · 25 reposts · 13 replies 15 Jul 2026 The cheat sheet for our Protocol Learning workshop, brought to you by Pluralis Research Scientist @hmdolatabadi Videos coming soon! 3.6K views · 15 likes · 0 reposts · 2 replies 11 Jul 2026 We had an amazing time yesterday at the Protocol Learning Workshop at #ICML2026 in Seoul! It was a full day of learning from researchers working across distributed optimisation, decentralised training, and large-scale LLM training. Here’s a brief recap 🧵 1/n https://t.co/wcvc 4.7K views · 29 likes · 6 reposts · 1 replies 11 Jul 2026 Today we're releasing Agora: the first ever pretraining stack that allows non-collocated consumer GPUs to be competitive with centralized clusters Agora is 15x faster than Megatron-LM in this setting and is only 1.5x less efficient in terms of tokens per unit compute than https: 91.4K views · 311 likes · 45 reposts · 29 replies 20 May 2026