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Conviction

conviction.com · 7,619 words · saved by 5 readers

One of our favorite parts of the jobs is when founders surprise us with ideas we've never thought about. But, given the time we spend working on and thinking about AI product, we do have some thoughts for where we think important companies might lie and what challenges they'll need to solve. To be clear, we don't think you have to work on any of these ideas to get into Embed or to pitch us. We share them here as a way to show our thinking about where opportunity lies and how we evaluate ideas. We'll continue to update this list as we formalize more of our thinking. Apply to Embed here! Companies are increasingly adopting vector search solutions (i.e. Pinecone, Chroma, Vectara, etc.), each with different claims to optimized ANN implementations, but comparatively little work has been done to optimize the embedding space itself. We believe that there remains substantial quality lift from constructing better embeddings, both by reducing number of dimensions required (and therefore cost & l

Conviction PLAUSIBLE SCHEMES One of our favorite parts of the job is when founders surprise us with ideas we've never thought about. But, given the time we spend working on and thinking about AI product, we do have some thoughts for where we think important companies might lie and what challenges they'll need to solve. To be clear, we don't think you have to work on any of these ideas to get into Embed or to pitch us. We share them here as a way to show our thinking about where opportunity lies and how we evaluate ideas. We'll continue to update this list as we formalize more of our thinking.

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