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Generative AI and LLMs are reshaping how we work and learn, but they are prone to 'hallucinations.' This article sheds light on this crucial issue in AI.

Dr. Oz, leading Medicare & Medicaid, suggested AI could be superior to frontline doctors at a staff meeting. He also emphasized a 'patriotic duty' for staff to stay healthy, sparking debate about AI's role in healthcare.

A Facebook page used an AI-generated image of a fake disabled veteran to boost engagement. The image is flawed with uniform and flag errors, sparking concerns about AI misuse and disrespect towards veterans.

Researchers are claiming a breakthrough in tackling prompt injection, a persistent security vulnerability in AI systems since 2022. This flaw allows malicious instructions to override intended AI behavior, and after many failed attempts to fix it, a potential solution may be on the horizon.

Teenager Matteo Paz uses AI to avoid manual tasks, leading to the discovery of millions of space objects and a $250k prize, showcasing AI's powerful potential.

A supply chain attack targeted Coinbase via a compromised GitHub Action, reviewdog/action-setup. Wiz.io disclosed the unsuccessful attempt and identified GitHub accounts linked to the attackers, providing more details on the incident.

Researchers caution that excessive pre-training of large language models can be detrimental to their performance. Similar to the butterfly effect, overtraining can make AI models overly sensitive to minor changes, ultimately hindering their effectiveness.

GenAI's rise forces both Computer Science and Humanities to confront an 'existential crisis,' questioning their purpose, relevance, and methodologies in this transformative tech era.

Article explores why, contrary to 1960s visions of seamless human-AI teamwork, accepting AI suggestions is not always straightforward and can become harder with deeper thought.