AI voice identity
the voice problem in AI systems consumer AI systems across google & openai surfaces currently use different voices for different tasks. they speak through smart speakers, browser copilots & antifraud
the voice problem in AI systems consumer AI systems across google & openai surfaces currently use different voices for different tasks. they speak through smart speakers, browser copilots & antifraud systems. this fragmentation occurs now, at scale. voice acts as an identity anchor through tone, cadence & repetition. AI systems increasingly speak they speak through home devices, phones & browsers. yet the same ecosystem often uses different voices across products. a user might hear one voice for
more from @sierracatalina
third places are critical infrastructure for a post automation society
third places are the physical settings where people spend time outside home & work. they run on low friction, repeat visits & casual conversation. as automation expands & daily routines become less
When Tokens Burn
Breaking down how crypto protocols approach revenue and cash flow This is a summarised version of a newsletter issue published on Decentralised.co. We are actively collaborating with token
The long game for crypto
It’s fashionable right now to declare that “non-financial use cases of crypto are dead.” Some people also claim that read write own has failed. These conclusions misunderstand both the thesis and the
Coming of Age
A note on revenue formation within crypto, how valuations have compressed and the emergence of moats within the industry This article was originally published on our newsletter at