@iamfakeguru

SERV army is buzzing after team dropped Q3 plans in https://t.co/JSXD7bwBUG, honestly one of the strongest communities out there. Q3 looks like a banger for ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042: v2 incoming, high-profile partnerships, enterprise distribution, attacking banking, robotics, high tech + mooarr 👀

Hear a SERV Reasoning user explain how it unlocks a use case that wasn't possible before: "What SERV does, is enhance smaller, faster, cheaper models so they can reach quality you would normally expect from frontier models. SERV is what makes [our use case] possible." (23:44)

SERV is moving on the path to signing clients that handle sensitive data and face strict compliance requirements, like banks, fintech, insurance etc. @openservai team is making leaps each day, non stop, its wild tbh - join https://t.co/RNsmxaJ71o to keep up

Here's a good article explaining why routing to cut AI costs is a dead-end: https://t.co/ZKNEoXKwZ7 Budget models collapse without evaluation harnesses, strict fallbacks, and real-time observability. SERV is the real fix - making small models smarter, at up to 100x savings. https://t.co/x2jAMnK872

OpenAI basically just published the bull case for SERV: agents moving from chat into work across every dept. That means: more tool calls, more tokens, more failure points, more compliance risk, and need for audit trails. The more this pattern scales, the more we need $SERV.