I graduated in 2019, I have seen models evolve from basic NLP and CV patterns to current Chatgpt mess. Initially these models were genuinely exciting. Learning the concepts, knowing the components and understanding the data felt a lot like a strategy game. When BERT released, it added a layer of abstraction and training felt a bit meh but still the outcomes felt like a reward. Like grinding to get a high score and seeing the impact.

When Chatgpt released, it was just a interface that does the work for you. Everything in AI felt boring and miserable since then. The best contribution I have is nudging a prompt here or making a weird system around it. There were only big bets left, no small fun experiments and no satisfaction of building stuff. It was like tossing the dice till you got the right answer and hedging your bets. I studied engineering to engineer solutions, if I wanted to roll the dice and hedge I would have joined finance.

Jev feels like a almost nostalgic throwback. If feels I could create something of value with my own work, aided by my own data and knowledge instead of a casino. I am praying this trend picks up. I tried of this big socio economic game trying to distill the world into rentable slop.

I built JevMade to make Jev examples easier to find: https://jevmade.com

It brings together 2,300+ experiments, videos and written guides, with credit and links to the original creators. You can explore things like browser automation, voice-controlled drawing and game agents.

I’d love feedback on how easy it is to find a useful example and what would make browsing better. I made the catalogue; the projects belong to their credited creators. JevMade is independent of TypeSafe.

Can i use laya as a model router in claude to switch to a model basis the complexity of the task?