| ▲ | infinitifall 14 hours ago |
| I don't follow this line of reasoning. Would it have been meaningfully different if OP had used open-weight models like GLM or DeepSeek? Does it really matter considering we'll have superior models next quarter? |
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| ▲ | ____mr____ 12 hours ago | parent | next [-] |
| The meaningful difference is that you will not experience EOS if (when) anthropic/openai/etc fails to become profitable and is no longer subsidized by capital funding. While "vibe-coded" apps do help lots of people who didnt have the time/money/skills to create their projects, you should be aware that currently the compute is being subsidized so that users become reliant/used to the service. |
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| ▲ | socratic_weeb 8 hours ago | parent [-] | | I believe vibe coding in general is a bad business strategy whether you use FOSS models or not because it means your product probably doesn't have any "secret sauce" (leaving code maintainability problems aside). By that I mean a carefully researched innovation that gives the edge to your product. Nevertheless, using FOSS models is clearly better for the reason you mentioned. I believe serious businesses will transition into using AI on-premise in a very restrictive manner (eg: AI only for tests and reviews policy, etc.). We'll once the dust is settled. | | |
| ▲ | maxerickson 6 hours ago | parent | next [-] | | Internal business tools are not innovative products. The potential edge comes from things like being better aligned with the business process or eliminating tasks from the process. | |
| ▲ | ____mr____ 7 hours ago | parent | prev | next [-] | | You can inject "secret sauce" through your domain knowledge or life experience. You could vibe code the "tedium" out of your app with little to no care about it using AI while paying close attention to the critical aspects of your product. Of course, the fact that all of your AI code usage is being monitored by the company that provides you the model/harness is also still means they can just steal your product whenever they want Stricter use would remove the primary benefit while not really giving much upside so I don't think companies will move in this direction | | |
| ▲ | acdha 6 hours ago | parent [-] | | > Of course, the fact that all of your AI code usage is being monitored by the company that provides you the model/harness is also still means they can just steal your product whenever they want Also anything which isn’t kept private can quickly be cloned. I think it’s going to be hard for a SaaS to stay profitable unless there’s a real-world tie-in to keep someone from pointing a bit at your app and cloning the observable behavior with just enough changes to claim they didn’t. |
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| ▲ | Daedren 8 hours ago | parent | prev [-] | | The question is if your "secret sauce" will stay secret as you use Anthropic's products, considering they've been launching specialised models like Claude Legal and Design. What happened to Figma with Claude Design should be a warning sign. |
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| ▲ | wjnc 8 hours ago | parent | prev [-] |
| Put on the hats of a risk manager or supply chain manager. Yes, that would have mattered. What you insource today, you can repeat tomorrow. If you know the price of an input will multiply in the near future, you should at least develop processes that can handle disruption. If you expect dirt cheap LLM’s to remain available, or even better: improve in quality, feel free to make that assumption explicit and keep using the external supply. I don’t know what the future holds, but the vibe your software organizations cannot go back to manual development once LoC has exploded. I hope firms are making these choices deliberately. |