Subnet teams' own channels, X posts, press, newsletters and events read from the chain — GitHub lives in its own tab
Inference Labs@inference_labsWhen a port or industrial site depends on a few critical access routes, disruption quickly becomes a problem. Sertn can track vehicle flow, queue length, stoppages, and recovery in real time, turning camera feeds into an operational record of where access is breaking down.
Inference Labs@inference_labsContent provenance is expanding from images into audio and API-based verification. That trend matters beyond media. Once users get used to asking “where did this come from?”, the same expectation will reach enterprise AI decisions and model outputs.
Inference Labs@inference_labsIn manufacturing, milliseconds matter. Vision models often need to run beside the production line, not wait for the cloud. Sertn is focused on making those real-time decisions easier to deploy, inspect, and verify.
Validator hotkey 5CoZxgtfhcJKX2HmkwnsN18KbaT9aih9eF3b6qVPTgAUbifj announced new child keys on SN1, SN2, SN3, SN4, SN5, SN6, SN7, SN8, SN9, SN10, SN11, SN12 and 113 more, applying at block 9,281,605 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,274,365 and 9,274,433
Inference Labs@inference_labsRobotics is moving toward shared standards for capabilities, interfaces, and deployment. That is what happens when a technology matures. At Inference Labs, we think evidence and verification need the same treatment.
Inference Labs@inference_labs3/ That is where verification becomes complementary to containment. Security answers: can it continue? Evidence answers: what actually happened? At Inference Labs, we think mature autonomous systems will need both. inferencelabs.com/
Linkinferencelabs.cominferencelabs.com/Inference Labs@inference_labs2/ But stopping an agent and understanding an agent are different problems. After an incident, teams still need to reconstruct what it attempted, which decisions led there, and which outputs entered downstream systems.
Inference Labs@inference_labs1/ AI security is starting to look a lot like operating-system security. NVIDIA’s new tools can contain agents, restrict their environment, and even shut them down when behavior crosses a boundary.
Validator hotkey 5E4z3h9yVhmQyCFWNbY9BPpwhx4xFiPwq3eeqmBgVF6KULde announced new child keys on SN1, SN2, SN3, SN6, SN7, SN8, SN9, SN11, SN12, SN13, SN14, SN17 and 6 more, applying at block 9,265,930 (~24h). Stake delegated to it there routes through its children after that. It replaces the changes that were pending on SN1 (block 9,265,620), SN2 (block 9,265,587), SN3 (block 9,265,590), SN6 (block 9,265,419), SN7 (block 9,265,422), SN8 (block 9,265,425) and 12 more, which will not apply then.
Between blocks 9,258,715 and 9,258,782
Validator hotkey 5DjtmV76CRvxZqd68fDwWyTmsfqUZ5EUXVJ21FKTBzwLT4Kd announced new child keys on SN2, SN12, SN27, SN47, SN93, SN117, SN126, applying at block 9,265,649 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,258,445 and 9,258,514
Validator hotkey 5E4z3h9yVhmQyCFWNbY9BPpwhx4xFiPwq3eeqmBgVF6KULde announced new child keys on SN1, SN2, SN3, SN35, SN36, SN58, SN70, SN76, SN90, SN103, SN108, SN116, applying at block 9,265,581 (~24h). Stake delegated to it there routes through its children after that. On SN1 it replaces the change that was pending for block 9,265,413, which will not apply then.
Between blocks 9,258,378 and 9,258,445
Inference Labs@inference_labsSnow removal is only useful if the right areas are actually cleared. Sertn can track vehicle movement and surface conditions over time, comparing real coverage against the winter plan so airport teams can see what was done, what was missed, and where attention is still needed.
Inference Labs@inference_labs2/ Sertn lets teams build different models and workflows around the same visual estate rather than creating another isolated system for every use case. That is where computer vision becomes infrastructure.
Inference Labs@inference_labs1/ The same airport camera can mean different things to different teams. Operations sees aircraft movement. Safety sees people and zones. Baggage sees flow. Winter ops sees surface coverage. The underlying visual data is shared.
Inference Labs@inference_labsAlways-on agents create a new enterprise problem: AI can keep working even when nobody is actively watching. Persistent systems need persistent evidence. Inference Labs is focused on making autonomous activity easier to trace, verify, and audit.
Inference Labs@inference_labsA mis-parked aircraft should be caught when it happens, not at the next reconciliation. Sertn can track stand entry, marshalling, and aircraft position against the lead-in line in real time, giving airport teams an immediate operational record when something is off. sertn.ai/
Linksertn.aisertn.ai/Validator hotkey 5G9hfkx9wGB1CLMT9WXkpHSAiYzjZb5o1Boyq4KAdDhjwrc5 announced new child keys on SN2, applying at block 9,232,559 (~24h). Stake delegated to it there routes through its children after that. On SN2 it replaces the change that was pending for block 9,232,244, which will not apply then.
Between blocks 9,225,293 and 9,225,854View subnet →
Validator hotkey 5G9hfkx9wGB1CLMT9WXkpHSAiYzjZb5o1Boyq4KAdDhjwrc5 announced new child keys on SN2, applying at block 9,232,244 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,224,965 and 9,225,293View subnet →
Inference Labs@inference_labsPhysical AI is becoming full-stack: sensors, perception, software, hardware, and automated action all working together. That makes computer vision part of the operating system, not just a dashboard. Sertn is built for that production layer.
Validator hotkey 5CAQAgXxoU3NPo1YG5VQKz4Ackh7goNx3TvPD9A6LoqA7FmJ announced new child keys on SN2, applying at block 9,225,900 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,218,663 and 9,218,767View subnet →
Inference Labs@inference_labsFrom fuel leaks to smoke and fire, many airport risks are visual before they become operational problems. @hudsongrae_me is showing how Sertn can train models to detect these anomalies and extend the same workflow across airport operations.
Inference Labs@inference_labs2/ Sertn can turn those feeds into structured events: aircraft position, congestion, person down, baggage build-up, towing movement, or snow coverage. One camera network, many operational workflows.
Inference Labs@inference_labs1/ Airports already have cameras covering stands, baggage halls, terminals, and airfield movement. The opportunity is not always adding more hardware. It is turning existing footage into operational data that teams can actually use.
Validator hotkey 5DjtmV76CRvxZqd68fDwWyTmsfqUZ5EUXVJ21FKTBzwLT4Kd announced new child keys on SN2, SN6, SN7, SN8, SN9, applying at block 9,216,069 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,208,853 and 9,208,913
Inference Labs@inference_labsLong-horizon AI is making outputs much larger and workflows much harder to inspect. The challenge is no longer only whether a model can finish the task, but whether the path there stays traceable. At Inference Labs, that is exactly the layer we care about.
Validator hotkey 5G9hfkx9wGB1CLMT9WXkpHSAiYzjZb5o1Boyq4KAdDhjwrc5 announced new child keys on SN2, applying at block 9,207,675 (~24h). Stake delegated to it there routes through its children after that. On SN2 it replaces the change that was pending for block 9,207,360, which will not apply then.
Between blocks 9,200,469 and 9,200,532View subnet →
Validator hotkey 5G9hfkx9wGB1CLMT9WXkpHSAiYzjZb5o1Boyq4KAdDhjwrc5 announced new child keys on SN2, applying at block 9,207,360 (~24h). Stake delegated to it there routes through its children after that.
Between blocks 9,200,097 and 9,200,160View subnet →
Inference Labs@inference_labsIn a factory, airport, or logistics site, the physical event may last seconds. The model output may trigger a workflow immediately. Sertn is useful because evidence can be created while that event is happening, rather than reconstructed from whatever footage and logs remain later. sertn.ai/
Linksertn.aisertn.ai/Inference Labs@inference_labsNVIDIA now describes physical AI safety as something that has to span hardware, software, models, sensors, and deployment. That is important. A safe robot is not just a good model. It is a chain of components whose evidence has to survive from perception to action.
Inference Labs@inference_labsConfidential computing protects workloads while they run. Verification answers a different question: did the expected workload actually run, and can we establish that continuously? The two ideas are starting to converge around enterprise AI infrastructure.