Joseph Nelson

speaker

239 appearances 1 recordings 1 series first heard Dec 2025 last heard 18 Dec

Joseph Nelson’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.

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Latent Space: The AI Engineer Podcast · SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow) · 18 Dec 2025 podcast

You find the confidence thresholds.

One of the things that we're really impressed by is the diversity and depth, as well as breadth, of uses that we see with models like SAM in production.

Basically, when you think about computer vision, you know, folks kind of like always class that they think about like dogs and cats and simple sorts of things.

And the reality is like computer vision is where AI kind of meets the real world.

So any sort of thing that needs to be seen and understood, you need to have understanding of that thing.

So a model

Expanding the concepts from like you know a few thousand closed form concepts max in a single model to tens of thousands of concepts means that you're going to see such a huge acceleration of the number of fields and um applications of the model.

So this is SAM three, right?

So we've already seen and measured some of the impact of the SAM family of models, and we pulled some of the updated stats on how impactful SAM is being across.

The Roboflow community.

I think I think Roboflow might maintain one of, if not the largest, hosted instances of SAM.

And we've seen basically 106 million kind of smart poly created examples that are that are SAM one, two, or three powered.

And we estimate that that saved humanity collectively like 100, maybe 130 years, depending on exactly how you want to do the calculation of time just curating data.

And each of those use cases, right, isn't dogs and cats on the internet.

It's things like, I don't know, we see medical labs across the world that are accelerating cancer research by doing things like counting and identifying the automation of neutrophils after a given experiment.

Or we see folks that are using aerial imagery for things like helping a drone navigate through the world, or maybe counting and seeing, you know, solar panels from from above, or maybe even doing like insurance estimates.

We see folks that are building underwater trash cleaning up robots.

So, like you can imagine an autonomous underwater bot that's navigating through the Pacific Ocean and identifying and grabbing on and grabbing plastics and cleaning up the world's ecosystem.

Relatedly, we've seen some work with aquariums across the US like Mbari, who are doing work for keeping track of species and identifying the impact of ensuring given

Steps that are taken are increasing the populations of given fish with like underwater fish cameras.

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