Stephen Boyle
@Steve0NotSteve
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Building something new • ex-TikTok • ex-meme machine • Cal 20 🐻
San Francisco, CA
Joined July 2013
RT @AlanXie434908: Concon is all about a LIFESTYLE, so why not start your morning by brewing a piece of catchy song?. -- .
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RT @APrivitelli: POV you’re in London and want to test a new street art tour in Shoreditch. We’re building your personal tour guide right….
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RT @APrivitelli: Looking for someone in London this weekend who wants to test out a new fun street art tour we created in our app - a perso….
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Getting messages like this from our users makes my day <3
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This flopped on TikTok, but maybe tech twitter will appreciate it more🫡
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It’s a beautifully sunny day in San Francisco to build in public 🌞💻
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Doing this during pride month is crazy petty.
I am pleased to announce that the United States Navy is renaming the USNS Harvey Milk to the USNS Oscar V. Peterson. We are taking the politics out of ship naming.
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das my co-founder!👯♂️ great job showcasing our product at Humans In The Loop yesterday @aaronsekhri.
There is some amazing consumer + AI + location + voice stuff in the works with @aaronsekhri and team. Watch this space! 🌎
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S/o my co-founder speaking in public about the thing we are building in private (for now).
There is some amazing consumer + AI + location + voice stuff in the works with @aaronsekhri and team. Watch this space! 🌎
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Me bouncing between Claude and ChatGPT.
Wtf is going on here 💀
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Charlie and Kadee win by teaming up. Talent + exposure. Voice + vision. That’s RAG in a nutshell: retrieval + generation = better results than either alone. ✨ Collaboration beats isolation—whether in musicals or machine learning.
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Kadee’s pop image felt fake until she connected with Charlie. Why? Because it lacked grounding. In AI, generation without retrieval often feels generic. Real insight needs retrieved context—just like Kadee needed real meaning.
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Once Charlie’s demo is heard, his music gets a chance to shine. That’s augmentation: adding context to raw potential. In AI, RAG augments LLM output with relevant context, making the response smarter and more grounded—just like Charlie’s rise.
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In RAG (Retrieval-Augmented Generation), a language model pulls in external knowledge (retrieval) before generating an answer. In Rags, Charlie’s hidden talent is like that knowledge—ignored until it’s retrieved via his anonymous demo tape. Hidden data has power.
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What the movie Rags taught me about retrieval-augmented generation, a thread:
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