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Mira Murati

@miramurati · San Francisco, CA · joined 18 Aug 2010

Now building @thinkymachines. Previously CTO @OpenAI

989 137Followers
641Following
401Posts total
16.7MViews on collected posts

Against accounts of the same size

8 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views788 410this account22 159median for 100K–1M
Reach, %79.71%this account6.71%median for 100K–1M
Engagement, %0.70%this account1.18%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post788 41022 15935.6×
Reach (views ÷ followers)79.71%6.71%11.9×
Engagement rate0.70%1.18%0.59×

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

2.7M15 Jul
406.5K10 Jul
8.3M15 Jul
1.6M
1M24 Jul
1.6M30 Jul
460.2K
533.4K31 Jul
198.3K

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%15 Jul
0.49%10 Jul
0.23%15 Jul
0.97%
0.99%24 Jul
0.27%30 Jul
0.91%
0.30%31 Jul
0.91%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.18%.

What the audience does

Likes76.8%56 942 in total
Reposts8.0%5 931 in total
Replies3.3%2 425 in total
Quotes2.7%2 006 in total
Bookmarks9.2%6 791 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

We share our approach to open-weights releases, how we assessed Inkling, why safety depends on both the model and the ecosystem it enters, and how testing, staged access, and stronger defenses can create a path toward greater openness. 198.3K views · 1.6K likes · 119 reposts · 65 replies 31 Jul 2026 Releasing weights indiscriminately isn't safe. Neither is keeping capable models inside a few labs. We think there's a path between them. We haven't mapped all of it. Our new post covers the part we can see: how we assessed Inkling, and why access should widen in stages. 533.4K views · 1.3K likes · 149 reposts · 68 replies 31 Jul 2026 Inkling-Small is comparable to Inkling at a quarter the size. Weights are open, fine-tunable on Tinker today. Look forward to seeing what people make with it. 460.2K views · 3.7K likes · 283 reposts · 148 replies 30 Jul 2026 Today, we are releasing Inkling-Small. Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B active. We are making the full weights available. https://t.co/NzFVYVkuQI Fine-tune it on Tinker today, or chat with 1.6M views · 3.3K likes · 450 reposts · 161 replies 30 Jul 2026 The knowledge that makes AI useful is diffused. It lives with scientists, engineers, clinicians, firms. For AI to benefit from distributed knowledge, it must itself be distributed. Agree with Jensen that this is a future worth building. 1M views · 8.9K likes · 1K reposts · 331 replies 24 Jul 2026 Our first model, Inkling. Trained from scratch, weights are open, fine-tunable on Tinker today. 1.6M views · 13.6K likes · 1.1K reposts · 399 replies 15 Jul 2026 Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. https://t.co/Ghebq5mG30 Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵 8.3M views · 14.9K likes · 2K reposts · 562 replies 15 Jul 2026 A year ago we set out to empower humanity with a focus on multimodal AI, custom models, and open science. We previewed interaction models that collaborate the way people do. Tinker lets anyone train their own open weights models. We published our research on Connectionism. 406.5K views · 1.8K likes · 111 reposts · 59 replies 10 Jul 2026 Thinking Machines Lab exists to empower humanity through advancing collaborative general intelligence. We're building multimodal AI that works with how you naturally interact with the world - through conversation, through sight, through the messy way we collaborate. We're 2.7M views · 7.7K likes · 672 reposts · 632 replies 15 Jul 2025

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