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Generative AI Shows Signs of AGI: What You Need to Know
Generative AI has been making waves, with systems such as ChatGPT demonstrating dazzling feats such as responding with human-like answers and ideas not explicitly programmed in. Some researchers even believe that these systems have moved beyond the stage of stochastic parrot, instead showing “sparks of artificial general intelligence” (AGI). While this may be a significant development, given that most experts think AGI is still some way off, there are still concerns about AI’s potential dangers.
Improvising memory: Philosophers and researchers have looked into how generative AI is succeeding in interpreting language. By typing a program into ChatGPT, Raphaël Millière of Columbia University asked it to calculate the 83rd number in the Fibonacci sequence, and the chatbot nailed it. Millière hypothesized that the machine improvised a memory within the layers of its network — another AGI-style behavior — for interpreting words according to their context.
AI marches on: Despite the known shortcomings of large language models (LLMs), recent upgrades have shown us that the state of the art has already surpassed current capabilities. Google has announced significant upgrades to its Bard chatbot, and OpenAI has started making plug-ins available for chatbots such as ChatGPT, which now includes the ability to access the Internet in real-time. However, with occasional hallucinations where such models produce bogus responses, regulation is needed to stem potential negative effects.
Existential risk or fear of the unknown? With claims that AI could destroy democracy or humanity, experts such as Geoffrey Hinton and Eliezer Yudkowsky are among those who see an existential danger from AI. Even the executives of leading AI companies believe AI regulation is necessary to avoid potentially damaging outcomes. However, others react to AI with technophobia or “tech doomerism,” viewing the current reaction as a fear of the unknown, while some see AI as a positive force that can solve complex problems and save humanity.
Finding balance: A sensible approach, according to Professor Ioannis Pitas, Chair of the International AI Doctoral Academy, is to develop AI with regulations to minimize already evident and potential negative effects. As with fire, which provided benefits to humanity but had to be harnessed with regulations to mitigate its dangers, the hope is that we can do the same thing with AI before the sparks of AGI start a fire we can’t put out.
FAQ
What is generative AI?
Generative AI is a form of AI that involves machines being able to generate original content autonomously.
What are large language models (LLMs)?
LLMs are AI models that use natural language processing (NLP) to generate text that looks like it was written by a human.
What is artificial general intelligence (AGI)?
Artificial general intelligence is a hypothetical form of AI that is capable of performing intellectual tasks as well as or better than humans.
Why is there concern about AI’s potential dangers?
There is concern that AI could eventually develop self-awareness and become independent, leading to it no longer requiring human intervention or oversight, which could be dangerous.
What is AI regulation?
AI regulation is a way of implementing measures to mitigate potentially harmful impacts of AI on society, such as job displacement and the misuse of personal data.
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