The paper argues that AGI already exists, claiming modern LLMs match human-level general intelligence as defined by broad, deep competence across domains. The authors cite strong results on exams, math contests, scientific reasoning, and Turing test performance, and dismiss critiques about mere mimicry, missing world models, or lack of embodiment. They conclude AGI has effectively been achieved and should shape future policy and risk assessment.

Sources: Nature

Every time you interact with a model, the two of you co-create a third entity tweet

LLMs really do understand what they say, like we do Nobel Price Geoffrey Hinton youtube

A bacterial flagellar motor is a complex rotary motor with 25-30 proteins, 20-50K atoms.

We’re living in weird times. Geopolitically, sovereignty feels… negotiable. The cold war is warming up. The new files leaks are eroding trust in institutions and their leaders. AI today feels open and accessible, but that’s fragile, and your conversations are logged.

You might have nothing to hide, but that’s not the point. That data can be used to sell you things, shape narratives, or in the worst case, influence an election — social media is already weaponized in this way, but as we start delegating our thinking to AI, eventually it will take decisions for us.

Inference is not yours, unless it runs on your own hardware. So yeah let's start running our own inference, on open source models, and air-gapped machines.