ML /AI engineer - Technical Founder 📍 SF

San Francisco, CA
Joined October 2022
I didn’t have STEM background. I didn’t know what pip install was. Heck, I didn’t speak a word of English. I grew up with my grandma in the rural part of Kyrgyzstan. My first job was selling potatoes and onions on a sidewalk at a local bazar in Bishkek. Now, I live in San Francisco. Every day, I meet the smartest and the most Influential people in Tech. My self-doubt and imposter syndrome have never been this high. 99% of the time, I am the dumbest person in the room. This slowly was getting under my skin. It was making me feel small and insignificant. I wouldn’t ask questions because I didn’t want to sound foolish. This made me stuck in one place. Until I realized, if I keep being quiet, I won’t ever grow and learn. So now, the first thing I do when I wake up is leetcode problems. I go to deeply technical meetups. I make friends with excellent engineers and scientists. And I am finally okay with looking like a fool and learning as much as I can. As fearlessly as I can. This is a reminder, to never let your environment dictate how you should feel about yourself. Instead use it as a source of inspiration to propel you forward. #leetcode #adhd #datascience #motivation #inspiration #impostersyndrome
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Meri Nova retweeted
I wrote an essay about why the next frontier for AI is the world outside the data center Nature is a system more complex than anything we've ever created AI can learn how the system fits together, so we can finally understand how to shape it How? naturalgeneralintelligence.a…
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I just released Beads, a drop-in cognitive upgrade for your coding agent of choice. github.com/steveyegge/beads In a nutshell, it is a magical 4-dimensional graph-based git-backed fairy-dusted issue-tracker database, designed to let coding agents track all your work and never get lost again. Beads replaces that disgusting pile of half-eaten markdown files in your plans/ directory. You know you have one. Install the Beads binary, tell your agent in AGENTS.md to stop using Markdown and run `bd quickstart`, and your agents will spontaneously get better at everything, particularly long-horizon planning and keeping track of newly discovered work. If you are looking for a long-ass but occasionally funny article about how I discovered it while burning a 350k line code base to the ground: steve-yegge.medium.com/intro… Or you can, you know, just start using it. It's MIT-licensed, written in Go, and super lightweight and portable. Let me know how you like it. Enjoy!
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Meri Nova retweeted
Claude Code: no evals [well known code agent company]: no evals [well known code agent company 2]: kinda halfassed evals [leading vibe coding company]: no evals [ceo of company selling you evals]: mmmmm yess all my top customers do evals, you should do evals [vc's in love with ceo of evals company]: mmmmm yes all my top founders do evals, must do evals (NOTE: i -do- also think that evals are impt, but the eval pilled ai engineers have also noticed that it is not a strict requirement for success and, at least for 0-to-1 stage, may even be anticorrelated, think thru why)
Trend I'm following: evals becoming a must-have skill for product builders and AI companies. It's the first new hard skill in a long time that PMs/engineers/founders have had to learn to be successful. The last one was maybe SQL, and Excel? A few examples: @garrytan: "Evals are emerging as the real moat for AI startups." @kevinweil: "Writing evals is going to become a core skill for product managers." @mikeyk: "Writing evals is probably the most important thing right now." @saranormous: "Evals = your new marketing." @gdb: "Evals are surprisingly often all you need." More to come.
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I'd rather have a great team than a great product. The latter will always follow if you have the right people.
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Please, stop building RAG projects! If you want to succeed as an AI engineer, focus on this instead: - solve a real problem - build a simple agent - scrape the web - retrieve your data - call another API
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- create custom evals - implement guardrails - have a human in a loop - write tests before code - ditch Streamlit, learn Typescript And you are golden, baby. #AIengineer
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Lovable is the fastest growing startup in Europe ever, $4m ARR in 4 weeks, this is how we did it: //1
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I probably shouldn't say this, but... the largest AI startups are built by engineers, not MBA's. If you want to become a founder, learn Python, not PowerPoint.
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From rejected intern at Meta to $3M/ARR In 12 Months [All Bootstrapped] Using only: - Langchain - Pinecone - OpenAI This is @yasser_elsaid_ 's story, a regular guy from Egypt.
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Follow my account to watch our upcoming live podcast recording with Yasser!
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Mindset matters. 10 min views in 3 months. Not bad for the first year of being a content creator.
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I still can’t believe that: - Hugging Face is free - Python is free - Google Collab is free - PyTorch is free  - Kaggle is free - VSCode is free - Andrej Karpathy is free - Andrew Ng is free ... Aren't we the luckiest generation who gets to build the future of AI?
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The next big wave of AI innovation won't come from better models. It will come from better UX. You do not need to be a Deep Learning Expert to build unique AI applications. You need to experiment, build prototypes, fail fast, and fail forward. Think about it...
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The last AI headlines were made by: - Claude's artifacts. - Google's NotebookLM. - ChatGPT's newest Canvas feature. (check it out if you haven't already) All of them are variations of better user experience with pre-existing models.
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The fact of the matter is that we are still searching for better ways to integrate LLMs into our everyday lives. And guess what? There is still a LOT of unchartered territory.
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