
Sarah Chieng
@MilksandMatcha • 26,775 subscribers
Head of DevX @Cerebras prev. @ExaAiLabs, @shopthrifthouse, @MIT wife to @tyler_fong_ 💌 DMs open
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I create a lot of video content. Over the past few years, that work has helped me grow to 200K+ followers and 70M+ views across platforms. Lately, I’ve been experimenting with AI tools that make the process more efficient, without losing my voice, personality, or taste. From researching and writing scripts to editing videos and crafting captions, I’m sharing a few of my favorite workflows, including how I use tools like Hyperagent. I’d love to hear which tools or workflows have made the biggest difference in your own creative process. Try it out:
Sarah Chieng103,604 views • 14 hours ago

I host a ton of events. This video was so fun to make, capturing how my team and I leverage AI when curating an incredibly high volume of intimate, tasteful, and high-quality events using some of our favorite tools like OpenAI Developers Codex, Eve by Vercel and more. But we are also excited to learn. Let me know if you have any suggestions or favorite tools and workflows :) And if you're heading to ICML, definitely say hi to the Cerebras team.
Sarah Chieng135,157 views • 21 days ago

"Technical writing completely changed my life." - Thariq In less than 2 years, Thariq (Anthropic) cracked the code on writing technical articles that consistently pass 1M+ views. In this 15-min workshop, he breaks down: → his exact writing workflow → tactics behind articles that go viral → how he leverages AI to write faster (without losing his voice) → why technical writing is the most underrated way to drive mindshare Technical writing is one of the most powerful (and completely free) ways to gain views, build authority, and teach the world what you know. This is the 4th [Technical] Write & Learn, a curated workshop series cohosted with swyx and Kernel Labs.
Sarah Chieng264,259 views • 2 months ago

Cafe Compute has officially landed in NYC By popular demand, we're excited to expand! Some behind the scenes with Amanda Huang And a huge thank you to our partners Bain Capital Ventures, , Structify, Exa, , San Francisco Compute, Haize Labs Where should we go next?
Sarah Chieng477,042 views • 10 months ago

What a fun little breakfast chat with swyx Windsurf just released Fast Context. Unlike traditional agentic search, Fast Context searches and retrieves relevant code from your codebase 20x faster. Game changing for developers who want to stay in flow. Watch it in action inside Andrej Karpathy’s nanochat repo. All over a bowl of Swyx's favorite childhood cereal, Raisin Bran. Powered by Cerebras.
Sarah Chieng397,034 views • 8 months ago

Build a real-time AI Voice Agent that can actually sell. In less than 30 minutes, you'll learn how to build a sophisticated real-time voice sales agent that can have natural conversations with potential customers. Includes a full code notebook, recorded tutorial, and docs The stack: ⚡ fast inference 🎙 LiveKit for real-time audio/video infrastructure 🗣 realistic speech synthesis (STT/TTS)
Sarah Chieng452,438 views • 10 months ago

I didn't study a lick of AI in college. I had studied computer science at MIT, but because I had been interning and working in quant trading, it was much more statistically focused than anything related to machine learning. For anyone else looking to get started, Cursor is an incredible first step for going from something you are more familiar with, like the traditional IDE, to understanding how AI can accelerate your current work. #sponsored #cursorpartner Cursor
Sarah Chieng52,761 views • 1 month ago

NYC builders: next Tuesday we’re turning Datadog, Inc. into Cafe Compute with Google DeepMind ☕️ Come try Gemma 4 31B at Cerebras speed, get increased model access, and meet the teams behind it. Comment what you're building, and top ideas will get a special gift from Cerebras 🤭
Sarah Chieng11,612 views • 7 days ago

If a prototype takes a day, waiting a week for user feedback is "really painful," said Andrew Ng. Well....now you can get user feedback in under 60 seconds :) Whether you're prototyping a feature or building a full fledged product, learn how to build an AI-powered user research system that automatically generates user personas, conduct interviews, and synthesize insights. All in <60 seconds. Includes a full code notebook, recorded tutorial, and docs. The stack 🤖 fast inference 🤖 's LangGraph for orchestrating multi-agent workflows 🤖 's LangSmith for tracing and evaluating
Sarah Chieng231,233 views • 9 months ago

Andrej Karpathy and Fei Fei Li both did nearly 10 YEARS of higher education before eventually founding Eureka Labs and World Labs. If you have attended major AI conferences like ICML, ICLR, or NeurIPS recently, you will see that there is a huge shift of researchers pivoting to start companies, and a vast amount of VCs who now find deal flow from these conferences. It was interesting to sit down with Ajay Joshi, who did his postdoc at MIT, is a current professor and is now starting his own company, Ciphersonic. Presented with Cerebras // Alycia Cary
Sarah Fong52,834 views • 1 month ago

Generative UI, built for you on demand, principally requires fast inference. Logan Kilpatrick Logan Kilpatrick on how AI could reshape software: agents handle transactional tasks, while new interfaces unlock richer experiences. Speed changes the interface. Presented with Cerebras // Alycia Cary
Sarah Chieng17,339 views • 19 days ago

I have worked at 7 companies since graduating from MIT. Every single one of those jobs I got by sharing my personal website. LinkedIn and resumes have been pretty irrelevant for me. The modern way to get a job is to create a portfolio. A website that > conveys who you are > projects that you've worked on > what you invest your time into communicates infinitely more than a stiff resume or corporate-pilled LinkedIn. I built my personal website from scratch in less than 5 minutes with Mistral AI's Mistral Vibe. Available through the Le Chat Pro and team plan Get started with Mistral Vibe: :) #MistralAI #MistralVibe
Sarah Chieng47,810 views • 2 months ago

Over this last year, Amanda Huang and I started running 'Cafe Compute' SF's first, regular late-night coffeeshop for engineers, founders, writers...(anyone) to co-work or hangout late at night. We always bring in Bryan and Annie, two amazing baristas to serve free coffee and food, and it's been so nice to watch the community grow. It's now been a year of cafe computes, and we're excited to continue the series -- we'll be expanding to NYC and Vancouver (ICML) next :) Please reach out if you'd ever like to attend or cohost. Sponsored by and Bain Capital Ventures
Sarah Fong166,239 views • 1 year ago

"Most of the real world is actually the long tail. And how do you learn the long tail as cheaply as possible is one of the most important questions right now." Sara Hooker on why GPUs — built for dense, predictable matmuls — are the wrong tool for the world AI is actually moving into. Presented with Cerebras and Alycia Cary
Sarah Chieng20,850 views • 1 month ago

I summarized Andrej Karpathy's 1 hour "Intro to LLM" video into 3 minutes :) Personally, trying to get better at summarizing and communicating through both notes and verbally! Covers: > what is an LLM > how to build an LLM > limitations > future of LLMs my notes summary: Thanks to Kudzo S Ahegbebu and Harper Carroll for their help :)
Sarah Chieng255,528 views • 2 years ago