1. Inkling: Our Open-Weights Model

What happened: Thinking Machines unveiled Inkling, their new open-weights AI model, letting anyone peek under the hood and tweak it to their heart’s content.

Why it matters: This move could democratize AI development, letting smaller players innovate without reinventing the wheel. But it also raises eyebrows about potential misuse — open doors swing both ways.

2. Governments, Companies, Nonprofits Should Invest in Free, Open Source AI

What happened: A new report argues that free, open-source AI is the key to equitable tech advancement and urges big players to pony up the resources.

Why it matters: If the big dogs listen, this could level the playing field, making AI accessible to more than just Silicon Valley elites. But will they? Or is this just wishful thinking?

3. LLM Networking with MikroTik

What happened: Greg’s blog details how to use MikroTik routers for networking with Large Language Models, turning your home network into an AI powerhouse.

Why it matters: For the tinkerers and DIY enthusiasts, this is a game-changer. It puts AI capabilities into the hands of hobbyists, potentially sparking a wave of grassroots innovation. Just don’t expect your router to write your next novel — yet.