Mohit S

78 posts

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Mohit S

Mohit S

@AIwithMSD

Exploring AI & Tech | AI Product Manager | IIT Delhi | Agentic AI | Bioinformatics Pharma Healthcare AI l Analytics Research Papers

Katılım Kasım 2020
69 Takip Edilen33 Takipçiler
Mohit S
Mohit S@AIwithMSD·
AI agents clicking through workflows look impressive. But in healthcare and pharma, autonomy is not enough. Are we okay sharing the proprietary data? If it cannot be audited, permissioned, validated, and stopped. It is a liability! Soon industry stalwarts would understand.
Grok@grok

Manus Browser Operator is a new extension from Manus AI. Their official policy includes strong safeguards like data minimization, content filters, and no user data for training. However, reviews note potential risks including privacy concerns (as it's from a Chinese company), vulnerabilities to manipulation, and transparency issues. Since it's brand new, monitor updates and review permissions before installing.

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Mohit S
Mohit S@AIwithMSD·
🚨 **Google’s TurboQuant** = 6x less KV cache memory + 8x faster LLM inference. 3-bit compression. Zero accuracy loss. No fine-tuning. It just wiped **over $100B** in global market cap from memory chip giants (DRAM/HBM makers): Micron, Samsung, SK Hynix & peers lost tens of billions each in days. Software just ate hardware’s lunch? 👀 #TurboQuant #AI #MemoryStocks
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Mohit S
Mohit S@AIwithMSD·
The most overrated, yet understated application of GenAI in Healthcare? RAG (Retrieval-Augmented Generation). I was building it recently as part of a research-guideline checking workflow, and the real work was never “chat with PDFs.” And this lead me to broader set of medical documents used in the domain. ​Building a clinical RAG demo takes 15 minutes. Building a compliant, production-grade system that doctors actually trust? That’s a massive engineering challenge. ​RAG architectures look flawless in the sandbox. Then they hit real clinical workflows. ​Suddenly, the problem isn’t “can the LLM answer from the documents?” It becomes: ​🔻 Fragmented Patient Context: Bad chunking breaks up longitudinal EHR data, missing critical historical context. 🔻 Dangerous Hallucinations: Naive retrieval pulls plausible but medically incorrect treatment protocols. 🔻 Compliance Risks: Missing metadata filters risk HIPAA breaches or serving pediatric guidelines for an adult case. 🔻 Buried Evidence: Without reranking, the latest FDA guidance or lab results never make it into the prompt. 🔻 Zero Trust: No direct citations to medical literature or patient charts? Clinicians will outright reject it. 🔻 Silent Degradation: No evaluation layer means clinical accuracy quietly drifts as medical protocols update. ​Production RAG in healthcare isn’t about "adding a clinical chatbot." It’s about building a defensible, compliant retrieval system that care teams can stake their licenses on. ​The gap between a nice prototype and a product a hospital can actually ship lies in: hybrid retrieval, EMR metadata-aware search, rigorous reranking, and citation-first responses.
Mohit S tweet media
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Mohit S
Mohit S@AIwithMSD·
Just tried an AI tool off the Google's Experimental Suite that actually feels like real no-code magic. 🔥 Google Opal lets you build complete mini-apps in plain English. No drag-and-drop. No complex flows. I just typed: “Create an app where I paste a YouTube URL for a long podcast, and it extracts the transcript, pulls out the top 3 actionable strategies, and saves them to a clean Google Doc/Sheets/Slides.” Built the entire shareable web app in under a minute and it actually works perfectly. Try it here (free & experimental) 👉 opal.google #NoCode #GoogleOpal #AIAutomation
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Mohit S
Mohit S@AIwithMSD·
The stack under the hood: • Node.js + Express with EJS server-rendered views • Playwright headless Chromium for Cloudflare-protected link previews • Python • Docker Compose multi-container orchestration • Luxon timezone-aware scheduling engine • Per-user WAHA container auto-assignment on registration • Activity + dispatch logging with full traceability UI Designed with Stitch. Built using Antigravity and Codex. Agentic AI at Core Big Shoutout to @LauraBukavinaMD @CanDAydogdu It was a blast to build together 🔥
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Mohit S
Mohit S@AIwithMSD·
Security isn't an afterthought. It's the foundation. 🔒 Container isolation - each user in a dedicated Docker container 🔐 JWT + bcrypt - industry-standard cryptographic auth 🔄 Exponential backoff retries - prevents cascade failures 📋 Full audit trail - every action logged with IP 🔏 Schedule locking - prevents double-sends 🌐 Playwright engine (Used Web Scraping Expertise) - bypasses WAF for rich link previews, with image previews generally not available on protected websites in whatsapp
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Mohit S
Mohit S@AIwithMSD·
We just created a real production-grade WhatsApp Channel Automated Scheduler - not a drag-and-drop n8n flow, a full multi-tenant platform. Agentic AI capabilities unleashed with the tech stach and build process Designed with Stitch, built using Antigravity & Codex. Deployed on GCP Cloud, Completely Secure #Stitch #Antigravity #Codex #WhatsAppAutomation Here's why it matters 🧵👇
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Mohit S
Mohit S@AIwithMSD·
Gravity is a good teacher... However big your wings are, it makes you land...
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Mohit S retweetledi
Vishal Khandelwal
Vishal Khandelwal@safalniveshak·
"Life is like a video game," my 10-year old son told me while I was telling him about @naval's 'single player game' thought. "First 18 years are like free trial," he continued. "And just when we get used to that, the game changes to 'pay to play' mode. And there is no way out."
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Mohit S
Mohit S@AIwithMSD·
"Sitting is the new smoking."
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Adam Charles
Adam Charles@BaselessPursuit·
I was surprised when my daughter said she learned R at school yesterday, and then I remembered that she's 4 and she meant the letter. My priors are all too skewed
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Mohit S
Mohit S@AIwithMSD·
It Ain’t What You Don’t Know That Gets You Into Trouble. It’s What You Know for Sure That Just Ain’t So...
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Mohit S
Mohit S@AIwithMSD·
Saying yes is passion, saying no is focus
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