…will still run rings around it when training, but that's not the point. They're designed for prototyping models to scale onto AI datacenters, with the same fast networking cards used…
…Plus, since nothing leaves my network, I don’t have to worry about some random company training new clankers on my private data. On the accessibility front, Ebook2Audiobook is fairly easy to…
…However, DLSS ray reconstruction uses a trained AI model to guess where light should be using a fraction of the actual rays. As a result, it looks better than native rendering because…
…I use SearXNG when my AI needs fresh information that isn’t part of its training data. I connect it with AgenticSeek, so the agent can search the web, collect useful links…
…Of course, the main driver for this change was AI, and it's now considered an AI editor. Pixlr has always been the more approachable and affordable option for anyone who doesn…
…Despite their massive revenue growth since 2022, the overhead of AI training and compute has undoubtedly created a financial gap that user subscriptions cannot fill alone. The recent turn of events has…
…Building a better AI workflow without Notion AI I've been using this setup for a while now, and despite it being somewhat disjointed, I don't miss Notion AI at all…
…The design interface runs on its own proprietary model, trained specifically on design structure and edit behavior. Image generation runs on Dream Lab, which is powered by Leonardo.AI’s Phoenix model…
…Likewise, since my data remains entirely on my local servers, I don’t have to worry about large corporations gaining access to private files and using them to train AI features that…
…The safest agent is the one that's still useful after you deny it most of that access. My instance has no email, no calendar, no message-app access (aside from Telegram…