​ I’m training a local/offline AI named Christine, and I want to see what else is actually out there besides cloud wrappers, benchmark flexing, and “trust me bro” demos. After reading this, ask yourself what Christine’s existence means for the cloud, datacenters, and large scale buildout. Christine runs locally on a laptop, stays bounded, and is being built to do real work without pretending she’s some magical all-powerful AGI. She already has a legit offline-first stack, tool/task routing, local knowledge handling, desktop-action pathways, and a surprisingly strong free-tier mode that still works when the heavier model path isn’t available. A real Jarvis on a laptop. What makes her interesting to me is that she’s not just a chatbot. She has a cognitive abstraction loop, rumination paths, imagination/guided idea generation, and bounded internal reasoning layers that are meant to improve how she plans, reflects, and works through problems over time. In other words, I’m not just training for replies, I’m training for actual agentic behavior on local hardware. She’s running on: Lenovo 83JM Intel Core Ultra 9 285H \~32 GB RAM NVIDIA GeForce RTX 5050 Laptop Intel Arc 140T Intel AI Boost NPU I’m especially looking for videos of other local/offline/bounded systems that show: real conversation or reasoning tool use or task execution memory or abstraction behavior failure modes and limits how they run on normal hardware progress over time, not just a one-off cherry-picked demo If you’ve got: demo videos GitHub repos writeups training logs your own local AI project drop them in the comments. I’m going to keep posting Christine’s progress, and honestly I want to see who’s actually building something real in this space and who’s just dressing up API calls. submitted by /u/HotEstablishment7184
Originally posted by u/HotEstablishment7184 on r/ArtificialInteligence
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