Cerebras ✓

@cerebras · Sunnyvale, CA · joined 08 Jul 2016

The world's fastest AI inference and training. Try the latest open models at: https://t.co/jREGhLI2nj

74 529Followers

269Following

2 841Posts total

1.8MViews on collected posts

Posts recentes

Cerebras ✓@cerebras3 Sep

“If all AI is built on one platform, we'll only have a certain envelope of future outcomes. Whereas if the future of AI is built on a broad population of platforms by a broad population of users and organizations and nations, we're much more likely to experience the benefit of ht

2:10

15K views · 80 likes · 9 reposts · 4 replies Open on X →

Cerebras ✓@cerebras3 Sep

Our partnership with @mbzuai goes back many years. Today, Cerebras is a launch partner for K2 Horizon, a new family of six open models from the @IFM_AI team. All six models are released as open weights under Apache 2.0, giving developers the freedom to inspect, reproduce, https

14K views · 162 likes · 24 reposts · 5 replies Open on X →

Cerebras ✓@cerebras3 Sep

"You now have new surface area to expose the benefits of the silicon in new ways. We had some really amazing results when doing this over a huge amount of different silicon. Cerebras was unbelievably good. We could actually not only improve the speed by a significant amount h

2:07

87.9K views · 78 likes · 14 reposts · 2 replies Open on X →

Cerebras ✓@cerebras2 Sep

@cerebras @silasalberti The semi-async valley is a useful framing: latency changes how closely humans supervise an agent. Speed matters most when it preserves review quality and reduces context switching—not when output simply moves the bottleneck downstream. 79 views · 0 likes · 0 reposts · 0 replies Open on X →

Cerebras ✓@cerebras2 Sep

@silasalberti Watch the full interview with @milksandmatcha: https://t.co/Kf2zYNT2u0 3.5K views · 12 likes · 1 reposts · 0 replies Open on X →

Cerebras ✓@cerebras2 Sep

“We coined this term called the semi-async valley of death.” At Cerebras Supernova, @silasalberti unpacked why coding tasks that take 1 to 3 minutes break flow, and how Cerebras powers Cognition’s SWE-1.7 in Devin at up to 1,000 tokens per second to keep developers in the loop.

1:27

89.4K views · 89 likes · 10 reposts · 5 replies Open on X →

Cerebras ✓@cerebras19 Aug

@cerebras i thought we were still on cs 2 https://t.co/dvXBkmjoCH

GIF

8.8K views · 100 likes · 4 reposts · 0 replies Open on X →

Cerebras ✓@cerebras19 Aug

•Up to 30× faster inference than GPUs •Up to 10× more throughput per watt than CS-3 •50% fewer components with modular compute, power, and I/O assemblies https://t.co/HvIk6uILoJ 43.5K views · 437 likes · 20 reposts · 16 replies Open on X →

Cerebras ✓@cerebras19 Aug

The Fastest AI Just Got Faster. Meet CS-4. https://t.co/Ubd4uul4l4

1:08

1.5M views · 4.3K likes · 354 reposts · 162 replies Open on X →

Em comparação com contas do mesmo porte

9 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações15 002esta conta1 018mediana para 10K–100K

Alcance, %20.13%esta conta3.77%mediana para 10K–100K

Engajamento, %0.37%esta conta1.66%mediana para 10K–100K

Métrica	Esta conta	Mediana para 10K–100K	Proporção
Mediana de visualizações por post	15 002	1 018	14.7×
Alcance (visualizações ÷ seguidores)	20.13%	3.77%	5.34×
Taxa de engajamento	0.37%	1.66%	0.22×

Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →

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

1.5M19 Aug

43.5K

8.8K

89.4K2 Sep

3.5K

87.9K3 Sep

14K

15K

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.34%19 Aug

1.12%

1.19%

0.12%2 Sep

0.37%

0.00%

0.11%3 Sep

1.38%

0.63%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.66%.

What the audience does

Likes74.0%5 271 in total

Reposts6.1%436 in total

Replies2.7%194 in total

Quotes3.4%241 in total

Bookmarks13.8%982 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.

Posts recentes

Em comparação com contas do mesmo porte

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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