Google DeepMind's Demis Hassabis frames OpenAI's move into advertising as a 'tell' that contradicts claims of AGI being 'around the corner.' He argues that if a company truly believed in imminent, world-changing AGI, it wouldn't be distracted by building conventional ad products.

A consortium including leaders from Google and DeepMind has defined AGI as matching the cognitive versatility of a "well-educated adult" across 10 domains. This new framework moves beyond abstract debate, showing a concrete 30-point leap in AGI score from GPT-4 (27%) to a projected GPT-5 (57%).

The AI landscape has three groups: 1) Frontier labs on a "superintelligence quest," absorbing most capital. 2) Fundamental researchers who think the current approach is flawed. 3) Pragmatists building value with today's "good enough" AI.

OpenAI's CEO believes the term "AGI" is ill-defined and its milestone may have passed without fanfare. He proposes focusing on "superintelligence" instead, defining it as an AI that can outperform the best human at complex roles like CEO or president, creating a clearer, more impactful threshold.

OpenAI is launching initiatives to certify millions of workers for an AI-driven economy. However, their core mission is to build artificial general intelligence (AGI) designed to outperform humans, creating a paradox where they are both the cause of and a proposed solution to job displacement.

Naming AI research teams with terms like "AGI" is more about signaling a long-term "north star" and creating "vibes" to attract ambitious talent, rather than reflecting a concrete, step-by-step plan to achieve artificial general intelligence.

Demis Hassabis explains that current AI models have 'jagged intelligence'—performing at a PhD level on some tasks but failing at high-school level logic on others. He identifies this lack of consistency as a primary obstacle to achieving true Artificial General Intelligence (AGI).

Top AI leaders are motivated by a competitive, ego-driven desire to create a god-like intelligence, believing it grants them ultimate power and a form of transcendence. This 'winner-takes-all' mindset leads them to rationalize immense risks to humanity, framing it as an inevitable, thrilling endeavor.

Shane Legg proposes "Minimal AGI" is achieved when an AI can perform the cognitive tasks a typical person can. It's not about matching Einstein, but about no longer failing at tasks we'd expect an average human to complete. This sets a more concrete and achievable initial benchmark for the field.