SAM 3

also referred to as: sam-3

includes SAM 3 Body, SAM 3 Objects

15 statements across 1 episodes · 7 bullish · 0 bearish · 3 people on the record · first statement Dec 18, 2025 by Pengchuan Zhang · said 42 times in 1 episodes since 2025 · across every show →

Mentions by year, the whole family

brought up most by Nikhila Ravi (16), Joseph Nelson (14), Pengchuan Zhang (3)

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Everything said about SAM 3, oldest first

Dec 18, 2025 neutral
Prediction Not checkable as stated
Zhang: SA-Co Benchmark Will Likely Outlast SAM 3
“I would say that it's likely that the benchmark will last longer than our Samsung model. Maybe kind of next year there will be a stronger model, but the benchmark is kind of the one that I hope to guide the community to kind of get better and better models kin…”
Pengchuan Zhang Dec 18, 2025 ▶ 1:13:23 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 bullish
Assertion Not checkable as stated
Nelson: Users Ran 8 Million Inferences in SAM 3's First Five Days
“I mean, in the first five days of SAM three, there was like eight million inferences of folks that were running across all diverse sets of fields.”
Joseph Nelson Dec 18, 2025 ▶ 16:57 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025
Assertion Supported
Ravi: Meta launched three separate SAM 3 models, not just one
“We launched actually three separate models this time. It was SAM-III, SAM-III objects, and SAM-III body. Those were two completely separate models and SAM III is just the image and video understanding model.”
Nikhila Ravi Dec 18, 2025 ▶ 1:08 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 neutral
Assertion Supported
Ravi: Over 70% of SAM 3 Dataset Annotations Are Negative Phrases
“We have about 70, more than 70% of the annotations are these like negative phrases that are not present in the image.”
Nikhila Ravi Dec 18, 2025 ▶ 23:02 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 positive
Disclosure
Ravi: Meta built SAM 3 using open-source community contributions to SAM 2
“In SAM-III we did leverage many of the open source contributions people have made on top of SAM-II. There were new data sets, there were new benchmarks, There were new kind of inference time optimizations. We adopt a lot of the things that the community builds…”
Nikhila Ravi Dec 18, 2025 ▶ 57:04 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025
Assertion Supported
Ravi: SAM 3 tracking compute scales with detected objects, not classes
“Each of the, it scales with the number of detected objects.”
Nikhila Ravi Dec 18, 2025 ▶ 27:24 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 neutral
Prediction Not checkable as stated
Nelson: SAM 3 Open Text Boxes Will Trigger Many Unprimed User Queries
“Now that you've kind of given this open text box for media, there's going to be a flood of the types of things users are going to want to try to do, some of which SAM is already going to be really well adapted to do, some of which not.”
Joseph Nelson Dec 18, 2025 ▶ 1:02:55 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 neutral
Disclosure
Zhang: Meta intentionally avoided OCR-heavy images during SAM 3 training data sampling
“In fact, during our data engine, we intentionally do not sample OCR-heavy images.”
Pengchuan Zhang Dec 18, 2025 ▶ 37:11 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 bullish
Prediction Not checkable as stated
Zhang: AI models will handle simple vision natively, using tools for complexity
“I think at least I want to bet on, you know, running their work natively together, the future for simple, I would say for simple or even intermediate difficult vision tasks. For example, kind of counting with less than 20 objects. I think for this kind of simp…”
Pengchuan Zhang Dec 18, 2025 ▶ 54:11 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 neutral
Insight
Zhang: Video tracking requires trading streaming latency for temporal accuracy
“So there is a trade off between kind of the kind of the latency and the accuracy here. If you care more about accuracy, then you can use kind of this kind of overall kind of information can all cause the mass net. To get kind of more robust signal about the co…”
Pengchuan Zhang Dec 18, 2025 ▶ 49:32 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025
Insight
Ravi: Detection and tracking must decouple due to conflicting representation needs
“The detector needs to be identity agnostic. So if you have a concept dog, it needs to be able to find all instances of that dog. And it needs to sort of have this representation of dog that is the same for all dogs. But when you're tracking those dogs through …”
Nikhila Ravi Dec 18, 2025 ▶ 25:31 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 positive
Assertion Supported
Ravi: SAM 3 Uses a Presence Token to Separate Recognition from Localization
“We basically add this presence token to the model, which explicitly separates the task of recognition and localization.”
Nikhila Ravi Dec 18, 2025 ▶ 23:25 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 bullish
Assertion Supported
Ravi: SAM 3 matches or beats single-task vision SOTA models
“We are really having a unified model that can do many different tasks in the same unified architecture. And so, you know, then the same way that LLMs can do many different tasks without needing a task-specific model. Like with SAM-III, we're able to do image-p…”
Nikhila Ravi Dec 18, 2025 ▶ 51:16 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 positive
Assertion Partly supported
Zhang: Fine-Tuned Llama 3.2 Achieved Superhuman Vision Verification Performance
“We kind of fine-tune our, kind of, for example, NAMA's 3.2 with our, kind of, verification, human annotated verification data. We get, kind of, superhuman performance on these two verification tasks, and then we do not need human on these two tasks. Let's furt…”
Pengchuan Zhang Dec 18, 2025 ▶ 41:14 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Dec 18, 2025 positive
Assertion Not publicly verifiable
Nelson: Roboflow users overwhelmingly voted for SAM 3 in blind pre-release testing
“That's actually interesting because we had blind tested SAM three before it was released, not a SAM three, just for people to try and compare. I think we call it like a potential SAG or SAG preview or something. And we allowed users to vote and they kind of un…”
Joseph Nelson Dec 18, 2025 ▶ 33:49 SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
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