Boundless

Most AI roadmaps track features, ppl and dates. Very few track what each successful task costs at 10x usage.. wrote down how I think about it.

picture ~ 1k tokens. :D

Can You Afford Your Company’s Roadmap? Ask yourself honestly. And message me when you’ve realised that you need a token bill therapist..

Last week, my team identified a clear need: security teams wanted abliterated models for authorized testing, while standard models often refused the prompts required to probe a defense properly. We shipped @BoundlessHQ Defensive Access in about a day. The response generated more inbound than any previous model announcement we’ve made. Choosing an inference partner comes down to 3 things: models, performance and economics. It also comes down to whether the team can move at the speed your product demands.. AI-native teams cannot wait weeks for an infrastructure provider to catch up to a new workload. They need a partner that can understand the requirement, make the right model available, build the serving and access layer around it, and ship while the need is still urgent. This is how we work at @BoundlessHQ. Defensive Access is application-only, with each company and use case reviewed before access is granted, because speed still requires judgment. This is the standard we’re building Boundless around: the right models, strong economics and a team that ships quickly.