
co-founder @ringg_ai▪️ Predicting Next tokens with a lot of bias. Forbes 30u30 Asia | Learning constantly | Ferrari Tifosi.
cuda dependencies
Joined February 2019
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Utkarsh Shukla (UT) retweeted
If you were affected by Uber layoffs, and are looking to join a young, AI native team, we are hiring across the board @ringg_ai
DM me.
Utkarsh Shukla (UT) retweeted
Ringg's agents actually finish work. A call turns into a qualified lead sitting in the CRM, an onboarding that got completed, a collection that got closed.
Which is why Ringg is already used in production by folks like - Policybazaar, CRED, Flipkart, Groww, Practo, and Tabby
Utkarsh Shukla (UT) retweeted
bribes.fyi/ - report bribes demanded from you.
Utkarsh Shukla (UT) retweeted
Google is fighting every final boss at once:
OpenAI & Anthropic in models, Nvidia in chips, AWS & Microsoft in cloud, Meta in ads, Tesla in self-driving, Apple in phones and OS.
At $4.6T, it feels weirdly undervalued.
Find out gifts that make the woman in your life super happy.
#WomensDay
Utkarsh Shukla (UT) retweeted
Every frontier AI lab has lost co-founder(s):
- OpenAI: 8 of 11 gone
- Thinking Machines: 3 of 6 gone
- SSI: 1 of 3 gone
- DeepMind: 1 of 3 gone
- xAI: 3 of 12 gone
One exception: Anthropic.
All 7 co-founders are still there.
Anthropic culture is worth studying.
Utkarsh Shukla (UT) retweeted
Last one on this topic, and I have been holding this in myself for a while.
For centuries, class divides kept the labor of the poor invisible to the rich. Factory workers toiled behind walls, farmers in distant fields, domestic help in backrooms. The wealthy consumed the fruits of that labor without ever seeing the faces or the fatigue behind it. No direct encounter, no personal guilt.
The gig economy shattered that invisibility, at unprecedented scale.
Suddenly, the poor aren't hidden away. They're at your doorstep: the delivery partner handing over your ₹1000+ biryani, late-night groceries, or quick-commerce essentials. You see them in the rain, heat, traffic, often on borrowed bikes, working 8–10 hours for earnings that give them sustenance. You see their exhaustion, their polite smile masking frustration with life in general.
This is the first time in history at this scale that the working class and consuming class interact face-to-face, transaction after transaction. And that discomfort with our own selves is why we are uncomfortable about the gig economy. We want these people to look our part, so that the guilt we feel while taking orders from them feels less.
We aren't just debating economics. We are confronting guilt. That ₹800 order might equal their entire day's earnings after fuel, bike rent, and app cuts. We tip awkwardly, or avoid eye contact, because the inequality is no longer abstract. It's personal.
Pre-gig era, the rich could enjoy luxury without moral discomfort. Labor was out of sight. Now, every doorbell ring is a reminder of systemic inequality. That's why debates explode. It's not just policy. It's emotional reckoning. Some defend the system (“they choose it”), others demand change (“this isn't progress, its exploitation”).
And here’s the uncomfortable twist: the unsaid ask of clumsy ‘solutions’ isn’t dignity. It is about returning to invisibility.
Ban gig work and you don’t solve inequality. You remove livelihoods. These jobs don’t magically reappear as formal, protected employment the next day. They disappear, or they get pushed back into the informal economy where there are even fewer protections and even less accountability. Over-regulate it until the model breaks, and you achieve the same outcome through paperwork instead of slogans: the work evaporates, prices rise, demand collapses, and the people we claim to protect are the first to lose income.
And then what happens?
The rich get their old comfort back. Convenience returns without faces. Guilt dissolves. We go back to clean abstractions and moral posturing from a distance. The poor don’t become safer, they become invisible again: back in cash economies, back in backrooms, back in shadows where regulation rarely reaches and dignity isn’t even debated.
The gig economy just exposed the reality of inequality to the people who previously had the luxury of not seeing it. The doorbell is not the problem. The question is what we do after opening the door.
Visibility is the price of progress. We can either use this discomfort to build something better (which we keep doing continuously as delivery partners are our backbone), or we can ban and over-regulate our way back into ignorance. One of those choices improves lives. The other simply helps the consuming class feel virtuous in the dark.
Utkarsh Shukla (UT) retweeted
Andrej Karpathy said a year ago, “Waymo has a hardware problem, while Tesla has a software problem.”
The SF power outage froze Waymo, but not Tesla FSD. Here’s why imo:
Waymo is “modular”: It relies on HD maps, LiDAR, sensors, 5G, and many neural networks. It works well until a single module fails. When the traffic lights died, the HD map no longer matched reality, so the car defaulted to a safe stop (brick mode). Also, the cars lost their connection to remote operators.
Tesla FSD is “end-to-end”: One massive neural network converts camera pixels directly into steering and braking. This follows Andrej’s Software 2.0 idea: Instead of writing manual C++ logic for every scenario, you train a neural net on billions of human miles. The "code" is the model weights. It drives more like a human.
I think now Waymo has a huge software problem. Its modular approach is a scaling and dependency trap. Long term, Tesla FSD wins.
Utkarsh Shukla (UT) retweeted
Self serve payments @ringg_ai
🥹
Utkarsh Shukla (UT) retweeted
huggingface.co/spaces/RinggA……
Squirrel TTS.
Homegrown Indian tts for english and hindi.
This has a pack of 38 voices.
Do let us know how the voice quality feels. We will be launching smaller model cards for on prem soon
Utkarsh Shukla (UT) retweeted
We completed two years at Ringg AI this week.
It has been crazy, to say the least.
Time milestones don’t matter much when you’re building — especially when you’re chasing product quality, customers, and revenue.
Over the past two years, we’ve launched multiple products in different shapes and forms, and to our luck, all of them have surprised us on the positive.
But the biggest win has been the people who’ve joined us on this mission to make voice fun to use. And all of it has been sheer serendipity.
Building in AI isn’t easy. Just keeping up with the daily news can be a full-time job — there’s a lot of noise.
But building all this while in one of the most competitive spaces in AI has been fun, maybe because it’s tough.
As we power towards a million-dollar ARR, we’re thankful to everyone who took a bet on us — angels for sure.
Tough is fun.
Tough is what keeps us going.
Tough is what makes it worth it.



















