Pipette's On-Device AI Results Are Deployment Tests, Not Chip Rankings
Pipette publishes latency, throughput, memory, and quality results across many configurations, but different phones, runtimes, and quantizations are not one clean ranking.
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OpenAI's Jalapeño Chip Benchmark: What the Numbers Actually Show
OpenAI's Jalapeño inference chip leads its published tests, but latency, power normalization, availability, and workload fit limit the buying conclusion.
llama.cpp v0.2.0 Makes Stable and Nightly Different Promises
llama.cpp now has semantic releases beside nightly builds. Its first stable tag shares code with a build tag, showing that channel names describe policy rather than quality.
Waymo's 1,000-TOPS ASICs Are Impressive—and Not a Benchmark
Waymo disclosed more than 1,000 TOPS of custom edge AI compute, while leaving precision, power, utilization, memory bandwidth, and measured latency unpublished.
Qwen3.8-27B Can Run on 16GB, but the Full Model Experience Cannot
Compact Qwen3.8-27B quantizations can run on a 16GB GPU, while long context, vision, concurrency, and runtime memory make that headline incomplete.