… The memory upgrade isn't really a crucial feature It's not something worth changing my workflow over Introducing a way to see the memory sources for a response was a good way to address a common frustration with ChatGPT. …
… PocketPal also gives me way more knobs than ChatGPT, Claude, or Gemini will ever expose on mobile. …
… ChatGPT ChatGPT's capabilities extend much farther than you might think; it can also help make sense of the myriad of home lab dashboards you usually check individually. See at ChatGPT
… Here's why Google’s AI is the ultimate second brain upgrade you are probably overlooking. Related I tried Gemini, ChatGPT, and Copilot for a month and I have a clear winner for you Don’t buy the hype. …
… Open WebUI Bring the ChatGPT experience to your own local hardware While Ollama runs the models, Open WebUI is where I actually use them. It gives me a clean, familiar chat interface, similar to ChatGPT, but everything runs locally on my machine. …
… Not if you expect ChatGPT levels of responsiveness, but it can be a fun project. …
… More memory means larger models, better context windows, and smoother performance. You start comparing specs, testing quantization, watching tokens-per-second like it’s a benchmark game. I did the same. Upgraded hardware, tweaked configs, chased that “perfect setup.” And yes, GPUs matter. …
… Recommended RAM: 8 GB What it's best for: writing, explanations, everyday chat, light brainstorming What I like about it: the jump in coherence and structure over sub-1B models, without giving up much speed What it struggles with: there's a noticeable lag on long outputs, and it's still not a heavy… …
… That’s a rather low bar for a feature positioned as an upgrade to a voice assistant. …
… Even with the workaround, my token generation rates don’t fall below 14t/s, which is pretty impressive considering I haven’t upgraded these systems in a long time. …