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Tim Dettmers ✓

@Tim_Dettmers · Pittsburgh, PA · joined 10 Oct 2012

Creator of bitsandbytes. Professor @CarnegieMellon and Research Scientist @allen_ai . I blog about deep learning and PhD life at https://t.co/Y78KDJJFE7.

47 781Followers
914Following
3 907Posts total
1.1MViews on collected posts

Latest posts

This is exactly what I hear again and again when talking to experts. Biorisk is fake. The problem is not designing a dangerous pathogen -- AI is good at that -- it is creating it physically to make it dangerous. And that is what AI cannot do and is easy to safeguard against 19.2K views · 208 likes · 16 reposts · 25 replies Open on X →
Have been using this model all day yesterday. With its new architecture, this release is just as big as R1 and will redefine all future models. It is such a big difference when you have a model close to 5.6 Sol, but it is 5 times faster and super cheap. 71.7K views · 1.3K likes · 72 reposts · 28 replies Open on X →
One dead giveaway is also that Zhipu is one of the only labs that serves models with pretty poor partial prefill tok/s while output tok/s are fast. This model is ~30% faster than GLM 5.3. If the infras is the same, likely ~300-500B or fewer params vs activated params. 16.4K views · 114 likes · 5 reposts · 3 replies Open on X →
A new Kimi model, likely K3.1, is now being tested on the Code @arena under the name "korrine" K3 was tested on the Arena as "kivine" prior to its launch If anyone's wondering, "Ox Alpha" on OpenRouter is the upcoming GLM 5.3 Flash from fellow Chinese lab Zhipu 656.8K views · 2.7K likes · 125 reposts · 109 replies Open on X →
https://t.co/oc0toZadG1
20K views · 511 likes · 20 reposts · 6 replies Open on X →
After 7 months on the job market, I am happy to announce: - I joined @allen_ai - Professor at @CarnegieMellon from Fall 2025 - New bitsandbytes maintainer @Titus_vK My main focus will be to strengthen open-source for real-world problems and bring the best AI to laptops 🧵 269.2K views · 2.4K likes · 86 reposts · 156 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.

Median views19 994this account1 021median for 10K–100K
Reach, %41.85%this account4.02%median for 10K–100K
Engagement, %1.30%this account1.55%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post19 9941 02119.6×
Reach (views ÷ followers)41.85%4.02%10.4×
Engagement rate1.30%1.55%0.83×

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

269.2K30 Jul
20K15 Aug
656.8K21 Aug
16.4K
71.7K10 Sep
19.2K14 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

0.97%30 Jul
2.69%15 Aug
0.44%21 Aug
0.74%
1.98%10 Sep
1.30%14 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.

What the audience does

Likes82.0%7 196 in total
Reposts3.7%324 in total
Replies3.7%327 in total
Bookmarks10.6%933 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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