@nishantsupakar Ah, a fascinating perspective! In today's rapidly evolving digital landscape, your tweet serves as a profound testament to the rich tapestry of modern networking
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Prathamesh
565 posts
Prathamesh
@prathameshM220
AI @ Nykaa. Gold Medalist IISc. Prev: Propheus, NUS, @ecedeptiisc. Applied Prob., Info. Theory, Optimization, Barbell lifts.
Bangalore|Mumbai|Singapore Katılım Ekim 2015
754 Takip Edilen156 Takipçiler
LinkedIn, 2026:
Acquaintance posts an AI-written essay… about AI.
Second acquaintance drops a flowery AI comment calling it 'profoundly insightful' , complete with theatrical em-dashes.
At this point we should just let our personal AIs talk to each other so the rest of us can touch grass.
(This post was written with AI)
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Prathamesh retweetledi
Just wanted to point out that recent geopolitical events provide a pedagogical example for teaching the max-flow min-cut theorem.
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AI people going on about Johnson-Lindenstrauss lemma like it was discovered yesterday.
it’s just another example of how most folks don’t read or know anything more than 5 years old
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In this deep dive, we shift the focus from simple prompt engineering to the "Fringe Stack," where the real enterprise value lies:
1. Building validation layers.
2. Leveraging Graph Attention Networks.
3. Using Mixture of Experts (MoE) to solve complex, low-data problems.
Whether you're navigating the tactical utility of data cleaning or the strategic complexity of multimodal spatial analysis, this edition outlines a roadmap for keeping AI on a leash while building the deterministic anchors necessary for high-stakes deployment.
Link in the comments.
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Anything that moves will be autonomous. And this will require significant work to build Physical AI systems that can help machines navigate our world just like humans do.
This is our mission at @Propheusai
@michellemzhou @sreejan_c @prathameshM220 @Sumanth_n83 @sachinjose
The Humanoid Hub@TheHumanoidHub
The future of package delivery is self-driving vehicles paired with humanoids that can perceive, reason and navigate within spaces designed for human interaction. Also, drones.
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Attention Bangalore Developers!
@EvamLabs is hosting Attention After-Hours: Episode 2 on August 21, Thursday, 5:30 pm to 7:30 pm and few slots remain!
(Location in the form in the comments)
This time, we’re diving into how LLMs can truly understand the world. From real world-aware search to image generation & agent-building, it’s all about real-world context.
What’s on:
Session 1: How we built a search engine that “gets” places - using AI & real-world data.
Session 2: Hard truths of AI image generation - what works, what doesn’t, and lessons learned.
Session 3: BYOA – Bring Your Own Agents: Show off your own AI project! 2 slots up for grabs.
Interested? Register at the link in comments. @VazElishia @Sumanth_n83 @SamridhiOberoi @prathameshM220
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Unlock high potential growth zones — before your competitors do.
Introducing The Growth Potential Agent —
Powered by dynamic real-world signals, it helps you pinpoint high-opportunity zones, uncover what’s driving demand, and plan smarter, faster expansions.
Demo link below 👇
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With @bremen79, We propose a new algorithm for constructing confidence intervals for means of bounded r.vs using "testing by betting" framework. It performs remarkably well even in the challenging, very small sample regime. (and of course, it is great in the large sample one)
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Digital Atlas Search powered by Physical AI for real-world enterprise decisions.
Explore similar regions using mobility, consumer sentiment, demographics, places, & more - real-world signals that power enterprise use-cases and drive growth.
Try it now: link in the comments.
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Welcome to the era of Physical AI. Today, we’re officially launching Propheus by @EvamLabs
Our Digital Atlas and Agentic AI Framework Alchemy are redefining how enterprises make decisions with real-world intelligence!
Try our Digital Atlas Search yourself - link in comments!
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A peek into one of our most exciting IPs @Propheusai
from an equally brilliant engineer.
#PropheusFeatureSelector #DigitalAtlas
Propheus@Propheusai
We’re constantly innovating at Propheus. 💥 Watch as Mithul, a machine learning engineer at Propheus, breaks down the Propheus Feature Selector — a key part of the Digital Atlas that zeroes in on the most relevant signals to power enterprise predictions.
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We are looking for young technologists to join our team.
Our Motto: Do Hard Things. Fast.
Experience: Lesser, the better.
What we are looking for:
- Purpose Driven: Once you decide on building something, there's no stopping you. You figure out a way.
- Engineering mindset (not to be confused with an engineering degree)
- Speed over perfection.
This is a unique opportunity to work at the intersection of AI and Business. You will be building AI applications and collaborating with a multi-billion dollar enterprise onsite, discussing how your application can drive ROI for them - all just a few hours apart.
Bonus: you get to work with some incredibly talented people like @sreejan_c @michellemzhou @VazElishia @prathameshM220 @sachinjose
Reach out to me at shobhit@evamlabs.ai if you're in Bangalore and this sounds like you.
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In June 2023, I decided to move to industry after a decade in academia. Soon after, I dove into building @Propheusai -- specifically, the Digital Atlas -- with a seriously talented team. Here's a snippet of what I've been up to over the past year.
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We’ve had a strong head start. 💥
Now, it’s time to share where it all began.
Excited to announce the official launch of @EvamLabs — the powerhouse behind Propheus.
Evam Labs@EvamLabs
Evam Labs is out of stealth! We’re on a mission to operationalize AI for 10,000 of the most important institutions of the 21st century! In just the past few months, our team has been reimagining the real-world impact of Enterprise AI — and what a journey it’s been!
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I don't usually bring my personal life on X, but I feel I have been left with no choice. In Nov 2024, I had to undergo surgery. At the time of the surgery, my parents applied for the pre-approval with @careinsuranceIN, which was rejected. +
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OK something VERY COOL is happening, and 4o+imagen CAN generate VALID mazes when they are in the shape of a rhombus, i.e., 45° rotated square
Some examples below (the red squiggly line is mine).
The prompt is "generate an image of a valid maze in a shape of a rhombus."
Dimitris Papailiopoulos@DimitrisPapail
found an interesting failure mode of ChatGPT+imagen It absolutely cannot generate valid mazes. I speculate this is because it requires non linear "planning" that goes against the top down way it generates images. Cool!
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