buildOne report1 publisher Cactus's Whistle fits seven-language speech recognition into 16.9 MB of CPU-only weights
Cactus released Whistle, an open-source speech recognizer for seven languages that runs in 16.9 MB on a CPU with no GPU. Its speed lead over Whisper base was measured on one Apple chip, so teams building for wearables and microcontrollers need their own numbers.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+20
- Incentives55
- Confidence55
buildConfirmed2 publishers Liquid AI's open-weight d1-3B answers classification questions in a single forward pass, taking 16 ms on a Jetson AGX Thor and 50 ms on an Orin Nano. That puts routing and intent tagging on edge boards without a large model, on figures Liquid measured itself.
Perspective Coverage
3 publishers
- Builder
- Builder 55%
- Operator
- Operator 30%
- Investor
- Investor 15%
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap+20
- Incentives70
- Confidence60
buildOne report1 publisher MLPerf Inference v6.1 starts timing a four-model RAG pipeline end to end
MLCommons' MLPerf Inference v6.1 adds tests that time a whole RAG pipeline and a 1,007-turn coding-agent replay. Those scores help a buyer size hardware only where the buyer's own pipeline spends its time the way the four-model reference does.
Reality
- Evidence45
- Adoption35
- Hype gap+25
- Incentives
- Not scored
- Confidence45
Forum Markets' edge inference venture puts about 70% of its power on one North Carolina campus
Forum Markets formed a 51%-owned venture with Edge Node to own and operate inference compute across 12 to 13MW of sites that already have power and permits. It plans to sell to large, creditworthy companies on multi-year terms, and for those buyers the date compute switches on matters more than proximity.
Reality
- Evidence40
- Adoption8
- Hype gap+30
- Incentives75
- Confidence45
buildOne report1 publisher The Jetson in the missile is a channel problem, not an AI problem
Ukraine says it recovered an Nvidia Jetson Orin NX 16GB from an S-71M cruise missile. The load-bearing fact is not edge inference; it is that a 2023 module reached a market Nvidia left in 2022.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+10
- Incentives60
- Confidence50
buildOne report1 publisher Cactus Compute fits a 16.9MB speech model into the CPU runtime it built for tool calling
Cactus Compute released Whistle, an open 16.9MB speech-to-text model that runs on a CPU in the same Needle engine as its tool-calling language models. The accuracy and speed figures are the company's own, so they need rerunning on real devices and audio.
Reality
- Evidence40
- Adoption
- Not scored
- Hype gap+10
- Incentives60
- Confidence45
buildOne report1 publisher Four runtime conditions decide whether a ROS 2 depth image moves without a host copy
NVIDIA's CUDA buffer backend lets a standard ROS 2 message field carry GPU memory, and the same host, the same device, the same Linux user and a supported RMW all have to line up before the copies actually disappear.
Reality
- Evidence54
- Adoption34
- Hype gap+18
- Incentives84
- Confidence48
Ukrainian investigators say a Jetson Orin ran the targeting on the drone that killed three
New York Times reporting on the wreckage of a July 2026 strike on a Zaporizhzhia gas station says operators programmed the drone toward the area and the onboard AI chose the object it hit. Three civilians died.
Reality
- Evidence32
- Adoption22
- Hype gap+30
- Incentives58
- Confidence34
buildOne report1 publisher NVFP4 and cache reuse cut MLPerf's edge agent workload to 24 minutes on one Jetson Thor
NVIDIA's submission runs the same Qwen3.6-27B as the llama.cpp reference on the same Jetson board and finishes 6.4x sooner. Most of the gap comes from prompt tokens the runtime never has to prefill.
Reality
- Evidence58
- Adoption18
- Hype gap+20
- Incentives85
- Confidence62
buildOne report1 publisher NVIDIA's edge-agent case rests on compact open models matching data-center capabilities
Nemotron 3.5 Lightning touches a tenth of its weights per token, which is what makes an agent loop plausible next to the sensors, but memory still has to hold all thirty billion and NVIDIA's own loop still escalates off-device.
Reality
- Evidence42
- Adoption
- Not scored
- Hype gap+38
- Incentives84
- Confidence54
JEDEC's LPDDR6 supports flexible 32-byte minimum access granularity for AI workloads
The published spec quantifies pins, rails and access sizes but never a data rate, which tells you the decisions device makers face for the next several years are about granularity and board cost rather than headline bandwidth.
Publishers:jedec.org
Reality
- Evidence63
- Adoption22
- Hype gap+31
- Incentives84
- Confidence57
The first hardware disclosure from the leading robotaxi operator turns an autonomy pitch into a supply-chain document, with 20x compute growth in eight years and redundancy it calls non-negotiable.
Perspective Coverage
3 publishers
- Builder
- Builder 44%
- Operator
- Operator 33%
- Investor
- Investor 23%
Reality
- Evidence62
- Adoption76
- Hype gap+18
- Incentives74
- Confidence68
Google put the model in the car: a Pixel on the CAN bus is the deployment shape nobody budgeted
A Pixel 10 Pro wired into a Formula E GEN4's telemetry bus ran a local agent and fed the driver advice in about a second. The architecture is the story, not the hillclimb time.
Reality
- Evidence40
- Adoption15
- Hype gap+35
- Incentives80
- Confidence45