At the start of last year Gemma2 made the fewest mistakes when I was trying out self-hosted LLMs for language translation. And at the time it had a non open source license.
Really eager to test this version with all the extra capabilities provided.
On the above compared benchmarks is closer to other larger open weights models, and on par with GPT-OSS 120B, for which I also have a frame of reference.
If you wouldn't mind chatting about your usage, my email is in my profile, and I'd love to share experiences with other HNers using self-hosted models.
If the claim is true that they vibecoded the app, and if AI output is uncopyrightable, technically they are in violation of DMCA and someone that can afford it could fight back and be rewarded, no?
I believe the USPTO has said that ai generated works are not copyrightable. They would likely have to fight this in many jurisdictions with different rules about these things.
The follow on question is "if one cannot copyright, does the same apply to licensing?"
I've tried to run an IPv6 only box on Hetzner 2-3 years ago. Didn't have a problem with the platform, but with RedHat because subscription-manager didn't work over a IPv6-only stack.
When I accidentally had IPv6 only for a new Windows box it was very apparent what was a priority (worked regardless) and what wasn't important (only began working once I had IPv4 and everything fixed too).
Baked in advertising? Works with any network. The option to turn off the baked in advertising? That needs IPv4.
Same as when writing notes by hand, the information is internalized. When you pass the thinking to the LLM, you become the copilot that doesn't even know the code, and the minute decisions madd. Good luck rearchitecturing a bad decision in such a design, and prepare your double d6 for a full functionality reroll.
This is an often repeated reductionist classification, which I've yet to match with my real life experience.
Vibe coding will fill in more "new feature" checkboxes, faster, but the level of quality averages out, to something often mediocre, or worse (like all my OSS projects in which I experiment; because such projects are the training data). It skips liberally on maintainability, accessibility, security and privacy considerations.
Code is a liability, I want to have less of it at a higher abstraction level (for which natural language isn't a good fit due to inherent ambiguity). For products, simplicity and user utility is how I approach the problem when given wiggle room.
We are on HN, so there's bound to be many startup people that only need to bang out features to lure in users and then pass on that pile further onto someone else, when they cash out.
What I have seen however, are mid-managers+ that haven't coded in a decade or so, and now with LLMs they feel that they deliver equal quality results, whereas they have been so long out of the game and haven't picked up the modern skills on how to maintain and build applications.
Sometimes a mediocre solution is better than no solution, especially if the mediocre solution is done in days.
Yes, there are risks (Lethal Trifecta and all that), but AI assisted developmet by non-programmers isn't that much worse than letting the same people do complex macro/function/VBA setups in shared Excel sheets.
I'm running out of fingers on my hands on the number of 100% vibe-coded applications we've built internally that save double digits of % of time from people's day to day work. All created by the people who use them to fix a very specific workflow they've had to do by hand over hours. Now It's a click of a button on a bespoke application they made.
People aren't upset about your characterization. Catch phrases, memes, or other low qualitative comments (with no context, elaboration or personal angle) are contrary to community ethos and down voted.
Really eager to test this version with all the extra capabilities provided.
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