… But in my day-to-day workflow, relying on Claude’s native cloud memory quickly turns into a frustrating affair. The fundamental issue is that native AI memory is a black box. …
… While my computer is asleep in my backpack, the cloud agent is busy writing code, running tests, and fixing bugs. When I open my laptop later, I simply find a clean list of completed changes waiting for my final review and approval. …
… Running it on Antigravity’s cloud workspace infrastructure leaves my local machine unburdened. Vanilla VS Code The reliable maintenance rig When I’m dealing with an old production codebase, I close the AI editors and boot up my trusted, vanilla VS Code. …
… You lose all the features that make cloud AI actually useful Congrats, you have a chatbot from 2022 Like I mentioned above, the way local LLMs work is that everything they need to function is quite literally installed and contained on your own machine. …
… Utilizing local AI means that you require a dedicated NPU or a cloud home lab server. However, cloud AI introduces latency and subscription fees. There is no real, true solution here, leading to significant AI fatigue. …
… Related I ditched LM Studio for llama.cpp, and my local LLM doesn't feel like a downgrade anymore My new main runner Ditching cloud AI apps for my new local model Impressive, but with trade-offs The actual chatting part was by far the most solid. …
… CEO Satya Nadella's cloud-first strategy helped Azure grow into a genuine rival to AWS and Google Cloud in the enterprise market. 08 / 8 AI Race The AI race between Google and Microsoft intensified in early 2023 when Microsoft integrated OpenAI's technology into Bing. …
… Again, this is an example of all the complexity coming before the value. With cloud AI, you get value immediately, and the complexity only comes later if you choose to dive deeper. …
… Microsoft says the Surface RTX Spark Dev Box delivers up to 1 petaflop of AI compute and features 128GB of unified memory, enabling it to run up to 120B-parameter models locally without cloud GPU instances. …
… An NPU on the device means that it doesn't need to send data to an external server to perform AI-related tasks — instead, the NPU handles all the processing locally. If Googlebooks go easy on the hardware and offloads the AI processing to the cloud, I wouldn't be surprised at all. …