Superlinked

@superlinked

SIE serves small open models for everyday AI tasks. Find a model that meets your quality target, then call our API or run it in your own cloud.

superlinked.com

Joined September 2019

310 Following

730 Followers

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Superlinked
@superlinked
2h
A shelf camera can see the gap. Can your software prove which product is missing? The proof is harder than the detection. Run OCR over the whole photo and you get every label on the shelf, and no idea which one sits under the hole. Spatial relationships are the real problem in
Superlinked
@superlinked
23h
What's up NYC AI Founders!? If you're building own AI moat with your own fine-tuned models, here's a hackathon on Nov 7th you don't want to miss! LOCALHOST NYC: Sovereign AI Hackathon We want to bring together builders, researchers, and AI enthusiasts in NYC who are solving
LOCALHOST NYC: Sovereign AI Hackathon 🗽 · Luma
From luma.com
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Superlinked
@superlinked
Oct 27
AI that summarizes an accident report is easy. AI that never adds a claim the report doesn't make? That's the hard part, and it's the part that matters! The test case: the NTSB's East Palestine report. Three wayside detectors recorded the same railcar bearing running hotter and
Superlinked
@superlinked
Oct 20
Most healthcare document AI can't be validated. The claims data is locked behind privacy walls, and synthetic data proves nothing. CMS accidentally solved this: they published a documentation finding, complete with the answer. The rule required a face-to-face encounter within
Superlinked
@superlinked
Oct 16
SIE takes your JSON Schema and returns typed fields from a document using Qwen3.8 27B. The hard part isn’t generating braces. It's making `injured_people: 1` mean the source actually says someone was injured. Your parser won't catch a plausible lie.
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