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Inference
Inference Research & Development
There's something really special about the schema that @grass developed for ClipTagger-12B.
Once you start searching massive video datasets, using metadata filters for objects, production quality, logos, or actions becomes absolutely invaluable.
The model we trained is great, but this was a real innovation that they came to us with.

15,42K
We trained this model to flip the unit economics of frame captioning, labeling, and video search.
Processing 1B frames used to cost on the order of millions but is now viable for teams that aren’t the largest companies.
We see this unlocking petabyte+ scale video libraries, that previously were impossible to search, categorize, or extract clips from.
We have already deployed this model at internet scale in partnership with @grass.
If you have a use-case for this model shoot use a dm. We move extremely fast.

Inference15.8. klo 02.02
Introducing ClipTagger-12b.
A state-of-the-art video annotation model trained in collaboration with @grass.
ClipTagger-12b delivers video annotation capabilities on par with Claude 4 and GPT-4.1 at 17x lower cost.
Learn more:

6,63K
update:
we just went from 6 to 7 people and are hiring more!
positions we are hiring for (10k referral bonus):
1. full-time videographer, because our lives are an actual movie and someone needs to document how fast we ship
2. model performance engineer so our model performance is more performant
3. chief of staff. 7 staff feels like a lot
4. founding SDR who has to be 'really hungry' or whatever that means
tag someone who would be sensational in one of these roles for a chance to win 10k!

Inference16.8. klo 02.47
we're not a billion dollar lab. we're just 6 people in a cozy sf office who love distilling models and serving them at internet scale.
we just beat claude 4 at video annotation for 17x less cost.
couldn't have done it without @grass. incredible team to build with.
and we're only getting started.
10,2K
we're not a billion dollar lab. we're just 6 people in a cozy sf office who love distilling models and serving them at internet scale.
we just beat claude 4 at video annotation for 17x less cost.
couldn't have done it without @grass. incredible team to build with.
and we're only getting started.

Grass15.8. klo 02.00
Meet ClipTagger-12b.
A new video annotation model built with Grass’s real-world video data, trained and deployed by @inference_net on their distributed compute network.
It delivers high accuracy video labeling at a fraction of the cost, and it’s live today.
Read more:

39,7K
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