Analysts warn rapid open-source copying threatens startup defensibility
6 Sep 25 5:17 PM · 2d ago · 8 comments · 1 source · development 6 of 9
Community members note that OSS implementations replicated the core innovation within two weeks, questioning what moat TypeSafe retains and whether the business model survives if competitors copy perpetually.
“I'm not sure what this means for AI startups if their innovations can be copied by OSS so quickly (what, like 2 weeks?). There's "consumer surplus" for everyone, to borrow an economic concept. But we do ideally want some of the surplus to flow to the innovator, too.”
pradnTypeSafe Creator of Jev decision modelOllaya maintainers Open-source implementation leadsTinyJev maintainers Open-source implementation leadsValen authors Multimodal extension developers
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I'm not sure what this means for AI startups if their innovations can be copied by OSS so quickly (what, like 2 weeks?). There's "consumer surplus" for everyone, to borrow an economic concept. But we do ideally want some of the surplus to flow to the innovator, too. I know there were precursors, but that's fine - it's hard to have a totally novel…
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Because what they did is kinda trivial. Its basically like the Dropbox comment really[0], except here you don't need petabytes of storage and infinite VC pockets.After chatgpt everything in AI mostly became LLMs and building wrappers around them. It's like people forgot how to do ML.To those of us who actually trained models back in the day, its…
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I installed it, I tried the examples, it works.... But forgive my lack of imagination... what is this useful for?Like, their example is of classification for a support interface.... `refund_requested`. Pretty convenient bool given the example is about a refund- what if 99% of submissions don't ask about a refund? Also, is that user not a…
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It would be good to list 1) zero-shot accuracy and 2) latency on the models page . The LLM-based models' latency is probably much higher than the BERT approaches I would assume.Also curious, it seems from looking at the accuracy scores you gave that it seems to be NLI > Gliclass > Laya (for Bert types)? Why do you seem to feature/recommend Laya…
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Laya is pretty easy to set up on its own without ollaya. I just did that and replaced my current jev API usage to laya running on a GTX 970 with 4GB of vram.Very small context window, but for some existing small llm work I was doing, it was a drop-in replacement and it makes me happy I can get use out of old hardware I have running.
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Are you saying laya copied from jev, and released in two weeks? If so I don’t thinks it’s quite as simple a story as that.
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Presumably the training recipe and training dataset itself cannot be easily copied in a week or two. So if they want to shut down these competitor models they need to make it obvious how they are better than them.
All 9 developments of Open-source Jev clones proliferate weeks after TypeSafe's… →
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