4 billion payments. 3 trillion data points. One model trained on all of it.
Meet @Razorpay Vulcan - India’s first transformer-based AI foundation model for payments.
Built, trained and hosted in India, in partnership with @nvidia and @awscloud.
Until now, every payments problem was solved separately: routing, fraud, risk, personalisation and more.
We asked: What if one model could understand how money moves?
And like LLMs are trained on text to understand language, Vulcan is trained on payments to understand how money moves.
Already running in beta across 51,000+ businesses, Vulcan is delivering:
- 8–10% improvement in payment success rates - the ultimate measure of whether a payment simply works.
- 8x more international card fraud detected.
- 5x more fraudulent or disputed transactions identified.
- 1–2 lakh more purchases completed every month through better checkout personalisation.
And we’re just getting started. The best part? Every payment Vulcan sees makes the next one smarter.
We’ve spent years building the infrastructure that moves money for India. Now, we’re building the intelligence that understands and improves it. 🔥
Stop racing to build better AI Agents 💀
Build what comes after AI agents 🚀
Today, every AI starts with a prompt.
We’re building a system where every prompt becomes a Mission.
A CEO appears. ~>
Delegates takes to CFO, CMO, COO ( agents ) . ~> they create Intern agents that does A2A collaboration with persistent memory ~>
The Agent Twon works in A2A Loop ~>
Gemma keeps everything alive offline.
Welcome to OmniMind
Shipping with @NousResearch@ankushdharkar@GrowthX_Club
Building at the @GoogleDeepMind ⚡️
The focus is on Multi-Agent Orchestration 🚀
One AI agent is useful. A team of AI agents that can reason and coordinate? That’s where things get interesting🤖⚡️
@googleaidevs#BuildWithGemini
now AWS is also putting $1B into Forward Deployed Engineering fund to hire FDEs
crazy time to learn solutions engineering, sales, marketing and AI engineering all together right now!!
Sonnet 5 is here. It's worse than Opus 4.8 on nearly every benchmark...
Does that mean it's useless? Absolutely not.
Use it with Claude Code Dynamic Workflows!
1. /model set to Sonnet 5
2. /effort set to Ultracode
3. Any complex task will kick off a dynamic workflow
This will only become more powerful when Fable is back.
You'll use Fable 5 as the superintelligent advisor and Sonnet 5 as the fast and efficient implementer.
Sonnet 5 goes straight into the garbage bin
> 1.2x more expensive than Opus 4.8 Max
> 2x more expensive than GPT-5.5-xhigh
> 5x more expensive than GLM-5.2
> 7x more expensive than Kimi-K2.6
> 57x more expensive than DeepSeek-V4-Pro
Was thinking if I should highlight this tweet or not, but it’s a masterclass in the amount of vitriol people face when working on open source.
Is the app great yet? No. It’s a start.
It was built by the community. Getting the iOS and Android apps working with secure pairing and push notifications - and getting both through App Review -took a surprising amount of work.
OpenClaw wasn’t acquired by OpenAI and isn’t an OpenAI product. It’s an open, independent project under the OpenClaw Foundation. OpenAI sponsors the project’s token usage; I work there.
Cristian, your tweet was just one of ~30 I woke up to today. I’d genuinely love your help making it great.
Attention is still the scarcest resource.
I’d rather spend mine encouraging people who build.