Gokul Rajaram’s Post

Today is a big day at Chef! After working in stealth mode, we are finally lifting the veil on what Chef does. Until now, we’ve kept our heads down as we developed our first-of-its-kind food manipulation AI and robot system. Now, with a renaissance in AI, we find ourselves uniquely positioned as the market leaders in the food robotics space and are ready to tell our story. Over the past two years, Chef has done 20,000,000 servings in production, has robots deployed in 6 cities in the US and Canada, and has learned how to manipulate hundreds of ingredients. We're now scaling our AI-enabled robotic systems around North America. At Chef, we believe that the biggest impact of AI is going to be on the physical world. And we believe the best place to start is the food industry. With 1.137M jobs unfilled, the food preparation industry the #1 labor shortage in the country. Americans do not want to do this work. These growing labor shortages are forcing food companies to leave millions of dollars on the table every year in unmet demand. As this pain becomes more acute, food companies are more aggressively seeking out alternatives, including off-shoring parts of the food supply chain to other countries where there is more labor available; this of course comes with its own significant risks for the US. Chef has chosen to approach this problem in a systematic way. Rather than go directly to restaurants - as many food robotics have done - we've started in food manufacturing. Food manufacturing is a market that most assume to be already automated. But in reality, it's not. So anytime you have a burrito from Trader Joe's, a frozen prepared meal, a salad from Starbucks, a meal on an airplane, or a dish when you're at a large hospital system, it's likely made by humans in an industrial kitchen. At Chef, we've built an AI-enabled system that can slide onto existing production lines just like a human. Chef is built to be flexible so it can handle almost any ingredient, no matter how you cut, cook, or prep it. In these high volume operations, Chef can generate ROI for our customers, all while gaining valuable training data on how to manipulate food. Over time, Chef can leverage those AI models and deploy at more lower volume operations like ghost kitchens and fast casuals. We're now going public and talking about why we've chosen food manufacturing as a starting point, how exactly our robots work to help customers generate ROI, showing exclusive customer case studies, and talking about where we see this all going in both the immediate and long-term. Check out the links in the comments for: - Our new website which includes case studies from customers like Amy's Kitchen, Intelligent Foods (Sunbasket), & Chef Bombay - Our CEO Rajat Bhageria's blog post "Lifting the Veil on Chef" - Our Mission and Master Plan - Some great press and podcasts We are proud to be one step closer to accelerating the advent of intelligent machines in the world 🚀

Today, I am super excited to introduce Lynx, the leading hallucination detection model! 🚀 Hallucinations make it really hard to ship AI products. To address this problem, developers have begun to use general-purpose LLMs like GPT-4 to evaluate other LLMs (‘LLM-as-a-judge’). However, general-purpose LLMs weren’t designed to be great at evaluation. Prior research shows that current LLM-as-a-judge approaches are unreliable and inconsistent. Enter Lynx. Lynx beats GPT-4o and all state-of-the-art LLMs on RAG hallucination tasks. And we’ve open sourced it ✨ You can use quantized Lynx-8B locally, use Lynx-70B with GPUs, or just reach out to Patronus AI for easy API access 😃 We are thrilled to launch Lynx with our Day 1 Integration Partners: NVIDIA, MongoDB, and Nomic AI. ⚡ At Patronus AI, our mission is to make high quality LLM evaluation accessible to everyone. The best is yet to come. Download quantized Lynx-8B on Hugging Face: https://lnkd.in/eaTpM3u6 Download Lynx-70B on Hugging Face: https://lnkd.in/eauKirMc Read the arXiv paper: https://lnkd.in/e--_R8Cg  Read our blog: https://lnkd.in/eJ4AgX8T Use Lynx with NVIDIA's Nemo Guardrails: https://lnkd.in/ec2yJFrZ Read about our Nomic AI Atlas integration: https://lnkd.in/eKxeq65D

ENGINEERING TEAM CAPABILITY I recently saw a massive change when a startup changed out their engineering leader (CTO). The change in culture was palpable But just as impressive was the change in ENGINEERING CAPABILITY, driven by the excellence and high bar set by the leader (who is a superb engineer and problem solver themselves). A truly great engineering team will make it so that imagination and vision become the constraint. This will force you to continuously think bigger in terms of product capability. Founders: if you find yourself constantly thinking "can we build this?" you're constrained by the capabilities of your engineering team.

Had a chance to catch up with my friend and legend, Gokul Rajaram (Board of Coinbase, Pinterest, The Trade Desk, and prolific angel investor)! We connected on the state of hiring, investing, and building a startup. A lot has changed in the last few years, including how fundraising in the early stages happens and AI impacting low value/skill jobs. We cover it all. Check out the full video on YouTube! Link in the comments below

Exciting news from Runway: we’ve peeled off our early access sticker and are officially Generally Available today. For the last 4 years, we’ve been working hard to make finance truly strategic and collaborative. The world is changing faster than ever, and finance is expected to change even faster — there’s constant pressure to create more value than last quarter, every quarter. To keep up, you have to be more strategic. And to do that, you need real collaboration. But real collaboration only happens when everyone at your company shares the context of how your business works and where it’s going. The problem is: you could share every spreadsheet, every data source, every document in the world — if your team doesn't understand what they're looking at, it won’t help them see the big picture. Which is why most people don’t. This lack of clear, deep understanding is why finance seems inaccessible — it’s what holds teams back from delivering the kind of impact they know they can. That’s why we’ve been on a mission to create understanding. We’ve spent years talking to customers, understanding their pain points, to find how to clearly show the “why” behind your numbers. We connect data, business context, and narrative to deliver holistic understanding. In plain English. For every. last. person. So you can invite your whole team to play with your model, see the impact of their decisions, and understand how your business actually works. We’ve already helped companies like AngelList, Superhuman, ConvertKit → Soon to be Kit and many others create clarity for their teams, and unleash their full potential. But don't just take our word for it — we’ve put together real stories of struggle from real people, to show you why we’re here and what Runway can do: