AI systems, especially those based on machine learning and neural networks, can be considered black boxes, with inscrutable patterns and inner workings that are difficult for humans to understand. [ more ]
AI Overviews' unreliable responses point to the challenges of AI systems, prompting the need for continuous improvement and stricter content filtering. [ more ]
Cerebras created the largest computer chip, reducing data-transfer times and energy use, focused solely on AI applications and creating large supercomputers. [ more ]
Ex-Google CEO Eric Schmidt predicts AI data centers will be 'on military bases surrounded by machine guns'
AI systems will become extremely powerful and self-evolving, leading to potential challenges and risks in understanding their actions and communication. [ more ]
University of Notre Dame Joins AI Safety Institute Consortium
The University of Notre Dame has joined the Artificial Intelligence Safety Institute Consortium (AISIC) to address the challenges and risks associated with AI.
AISIC aims to develop standards and measurement techniques that ensure the safety and trustworthiness of AI systems. [ more ]
The OpenAI team tasked with protecting humanity is no more
OpenAI's Superalignment team, tasked with managing powerful AI systems, faced internal tensions over resource allocation and safety concerns, resulting in key departures. [ more ]
ChatGPT scrapes data from the open web, leading to concerns about intellectual property rights and potential future scarcity of training material. [ more ]
From 'Lavender' to 'Where's Daddy?': How Israel is using AI tools to hit Hamas militants - Times of India
AI systems like "Lavender" and "Where's Daddy?" target Hamas militants in Gaza, raising concerns over civilian casualties.
"Lavender" and "Where's Daddy?" are used to identify and track suspected militants to their homes for potential strikes, leading to civilian casualties. [ more ]
Can philosophy help us get a grip on the consequences of AI? | Aeon Essays
Generative AI systems like OpenAI's GPT-4 and Google's Gemini have the potential to revolutionize personal computing and change social relationships.
Attention is being paid to the societal implications of these systems, including centralization of power, copyright issues, and the potential threat to humanity's survival. [ more ]
AI systems are embedded with values and biases, forcing creators to make choices about whose values the system will respect.
The data with which AI systems are trained and the efforts developers take to mitigate biases play a crucial role in shaping their points of view. [ more ]
Meta's AI chief doesn't think AI super intelligence is coming anytime soon, and is skeptical on quantum computing
Yann LeCun believes current AI systems are decades away from reaching sentience and common sense capabilities.
LeCun believes the technology industry's current focus on language models and text data will not be enough to create advanced human-like AI systems. [ more ]
ChatGPT one year on: How has it affected the way we work? DW 11/30/2023
ChatGPT has revolutionized tasks such as article crafting and creating construction plans in a matter of minutes.
Millions of people have used ChatGPT since its launch, with a significant increase in usage via other apps.
AI systems like ChatGPT could automate up to 300 million jobs worldwide, but many jobs are more likely to be complemented rather than substituted by AI. [ more ]
AI networks are more vulnerable to malicious attacks than previously thought
Artificial intelligence tools are more vulnerable to targeted attacks than previously believed, putting applications like autonomous vehicles and medical image interpretation at risk.
Adversarial attacks, in which data is manipulated to confuse AI systems, can cause them to make inaccurate decisions. [ more ]