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The General Video Game AI Competition (GVGAI [21]) poses the problem of creating artificial intelligence that can play a wide, and in principle unlimited, range of games. Concretely, it tackles the problem of devising an algorithm that is able to play any game it is given, even if the game is not known a priori.
Therefore, we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. This pause should be public and verifiable, and include all key actors. If such a pause cannot be enacted quickly, governments should step in and institute a moratorium.
In a soft takeoff scenario, the AI still becomes far more powerful than humanity, but at a human-like pace (perhaps on the order of decades), on a timescale where ongoing human interaction and correction can effectively steer the AI's development. [117] [118] Ramez Naam argues against a hard takeoff. He has pointed out that we already see ...
A physicist considers whether artificial intelligence can fix science, regulation, and innovation. Stephen Wolfram on the Powerful Unpredictability of AI Skip to main content
OpenAI on Monday launched a new AI model and desktop version of ChatGPT, along with a new user interface. The new model, GPT-4o, is twice as fast as GPT-4 Turbo and half the cost, the company said.
What it signals to some lawmakers and AI safety advocates is a level of computing power that might enable rapidly advancing AI technology to create or proliferate weapons of mass destruction, or ...
Most AI researchers believe strong AI can be achieved in the future, but some thinkers, like Hubert Dreyfus and Roger Penrose, deny the possibility of achieving strong AI. [ 82 ] [ 83 ] John McCarthy is among those who believe human-level AI will be accomplished, but that the present level of progress is such that a date cannot accurately be ...
The AI boom [1] [2] is an ongoing period of rapid progress in the field of artificial intelligence (AI) that started in the late 2010s before gaining international prominence in the 2020s. Examples include large language models and generative AI applications developed by OpenAI as well as protein folding prediction led by Google DeepMind .