MAS's final AI guidelines ask for an AI inventory, an oversight record that counts near misses, and red teaming. Phased in 2027 and 2028.
Read more: https://t.co/zZ4WjFMCDx
A green status is a claim and a screenshot is a file. Neither is evidence until an outsider can check it.
Four questions that turn an artifact into evidence: who produced it, what period, which version, can someone else repeat it.
https://t.co/nhsZJB2phP
Big news! We have joined @nvidia#Inception, a program designed to nurture startups revolutionizing industries with AI. We’ll be partnering with NVIDIA to accelerate our mission of delivering secure, enterprise-grade AI governance. 🛡️🤖
https://t.co/MNoom7CqK9
Announcing that we have been named an @OpenAI Select Partner.
For the work of getting AI into production where it has to survive an auditor, an ethics board, and a long operational lifecycle.
Full details: https://t.co/RdFK1FmwLL
Karp's two complaints are one problem: nothing is verifiable. You can't price outcomes you can't prove, and owning GPUs doesn't govern what runs on them. The gap is verifiable compute: policy-routed, cryptographically attested runs. Building it @VerySafeAI
1/ Your AI bill is bigger than it needs to be, and not by a little. Teams duplicate the same inference 3.4× across providers because no single layer routes for cost.
4/ When cost is everything, route to Droplet: our distributed hardware tier at ~$0.04 / 1M tokens. That's 70 to 90% cheaper than frontier APIs, same audit chain.
Less than 1% of enterprise AI calls land in a tamper-evident audit chain today.
We sign 100% of them. SHA-256 + Ed25519, chained so nothing can be altered after the fact.
When a regulator says "prove it," the receipt is already there.
https://t.co/nyjW6EZLnf