Luke Oliff · Blog
Writing.
Original posts, published first on this site. Imported posts live in the archive.
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260 posts
2026
Why Speaker Diarization Is the Hardest Problem in Voice AIOriginalSpeaker diarization figures out who spoke when. It sounds simple. It is not. Here is why it breaks, and what it takes to get right.Voice AI
TIL: What afinfo Reveals About Your Audio FilesOriginalafinfo prints every audio file property macOS knows about: sample rate, channels, bit depth, duration, and codec. Essential for debugging STT pipeline issues.TIL
The Infrastructure Race Is Changing How We Use AIOriginalAnthropic's SpaceX deal, OpenAI's new voice models, and record venture funding made the week of May 11 the moment AI infrastructure became the story.AI
Sunday roundup: from curl -w to ColossusOriginalOne TIL post went up this week. A landmark compute deal reshaped AI infrastructure. Here is the Sunday roundup for May 4-10, 2026.AI
5 developer experience wins in voice AI toolingOriginalError messages, timeout behaviour and observability: five developer experience wins that separate a great voice AI API from one that eats your Friday night.Developer Experience
Friday fun: inspecting audio files from my terminalOriginalsoxi shows audio file metadata like sample rate, duration, and channels from the command line. Inspect files before sending them to any voice API.TIL
What running a developer Discord taught me about voice AIOriginalFour years running a developer Discord for a speech API surfaced the same problems on repeat: audio format traps, silent failures, and unasked questions.Developer Experience
How voice AI SDKs handle things REST clients never have toOriginalBuilding SDKs for streaming voice APIs means managing WebSocket state, audio buffers, reconnection, and backpressure. REST client patterns break immediately.Developer Experience
TIL: Measuring API Response Times With curl -wOriginalcurl -w prints DNS, connect, TLS and response times after every request, so you can profile API latency from the terminal without another tool.TIL
When the model stopped being the moatOriginalBy spring 2026 the model stopped being the moat: frontier quality converged, and the real advantage moved to developer experience and API design.AI