CM Weekly: Post-Training, Generative Advertising, Advisor Compensation

I'm hosting a fireside chat with Priyanka Vergadia, the developer relations lead at Google Cloud, on best practices for growing and scaling development communities. We’re hosting it for our portfolio founders especially in the open source, dev tools, and dev platform spaces. 

If you’re working in one of these areas it would be great to have you join us as well. Info and to RSVP is here -> https://lu.ma/race-capital-build-scale-dev-community-priyanka-vergadia

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Written by Chris McCann, General Partner @ Race Capital. More about me.

🗞️ Interesting Reads

• While the focus has mostly been on the training side of AI models, post-training is looking to be just as important for real world applications.
• Facebook / Meta is now sticking generative features into their core advertising platform, letting ads to be generated programmatically.
• While all of the innovation of AI is exciting for new companies and products to be built, there is an underlying disillusionment being felt by some in the engineering community 
• In addition to the rise of deepfakes, teachers are now unable to detect if something was created by a student on their own or with AI anymore. 
• A more critical take on the emerging AI x Web3 narrative in the market.  
• Data on what advisors get compensated from pre-seed, seed, and A companies. TLDR the median is 0.23%, 0.1%, and 0.07% respectively. 

🔥 Startup Jobs

• By Company: Databricks, GoodNotes, Zeet, Polysign, Opaque, Lightning Labs, OtterTune, and more
• By Role: Engineering, Data Science, Product, Design, Operations, Finance, Legal, and more
• By Location: SF Bay Area, New York, London, and Remote

Browse more open roles across our portfolio at Race Capital's Portfolio Job Board.

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