Deploying AI in high-stakes environments (logistics, finance, healthcare) comes with a tradeoff:
1️⃣ Efficient models = risk of hallucinations.
2️⃣ Frontier models = broken unit margins.
The solution isn't picking one model over another. It is smarter orchestration.👇
I am curious about how others are handling this. For those of you building in other high-stakes domains like fintech or supply chain, what are you currently using to audit your frontline models? Are you building custom consensus engines, or relying on human review?
Deploying AI in high-stakes environments (logistics, finance, healthcare) comes with a tradeoff:
1️⃣ Efficient models = risk of hallucinations.
2️⃣ Frontier models = broken unit margins.
The solution isn't picking one model over another. It is smarter orchestration.👇
Stop running frontier models for every workflow. Build an adaptive orchestrator instead.
Try the live demo or dig into the routing engine below.
🔗 Live Demo: https://t.co/PeDD3AMbJO (cc @huggingface)
💻 Code: https://t.co/CVaIZvonzP
The economics and safety metrics on the IDRiD clinical dataset are clearly positive:
📈 9.9% relative increase in diagnostic accuracy
💰 62.4% of workloads safely auto-triaged (massive API cost savings)
🛡️ 51 hallucinations caught & fixed via multi-agent debate
@vasanthkamath@glnarayanan@TickertapeIN Could you elaborate on the funds transfer part?
1. What is the FX charge/markup?
2. Supporting document requirements?
3. Funds settlement timelines
The detailed feedback from @jbahrdestefano was candid and thoughtful. It clarified important questions around wedge, competition, and distribution for us.
Agentic commerce is having its moment. Stripe powering checkout, and Shopify merchants live in ChatGPT.
The shift from search->buy to ask->transact is here.
Shopify merchants will be able to sell directly in ChatGPT.
We’ve been working with @OpenAI for quite some time so people can search and buy products in chat, and it’s something we’ve had a hard time keeping quiet.
Rollout is coming very very soon.
We’re watching the foundations of agent-native payments being laid:
OpenAI + Stripe’s ACP: agents can check out directly with merchants
Google’s A2P: agents can plug into payment networks (cards, banks, stablecoins)
We have three cool announcements today:
(1) @OpenAI is launching commerce in ChatGPT. Their new Instant Checkout is powered by @stripe.
(2) We're releasing the Agentic Commerce Protocol, codeveloped by Stripe and OpenAI.
(3) @stripe is launching an API for agentic payments, called Shared Payment Tokens.
It's clear that internet purchasing modalities are going to change a lot, and we're excited to start to lay some of the foundations.
Links below!
@patrickc@OpenAI@stripe Stripe + OpenAI’s Agentic Commerce Protocol feels like the app-layer counterpart to Google’s A2P payments protocol. One is commerce-first, the other rails-first.
The future of AI is taking a surprisingly human turn. While we focus on productivity, a @HarvardBiz report predicts the top use case for AI in 2025 will be "Therapy/companionship."
This isn't just a forecast; it's already a reality.
Want to try it?
* Open Telegram
* Search for the username heyguru
* Tap 'Start' or type /start to meet your calm companion
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