Other News
Clearview AI: the face of privacy concerns
Journalist Kashmir Hill uncovers Clearview AI's revolutionary facial recognition technology, raising alarms about privacy and the future of anonymity.
The future of inference in Large Language Models
Exploring how LLMs mimic human inference, the potential for AI with hippocampal-like functions, and the implications for future human-AI interactions.
The evolution of talking machines and AI
The evolution of talking machines and AI, from early automata to modern voice assistants, examining technological advances and societal implications.
The dawn of Artificial General Intelligence
AGI: benefits, risks, and projected timeline. Experts debate AGI's impact on humanity and technological progress.
TikTok: the attention thief
How the addictive nature of TikTok and its short-form content can negatively impact attention, focus, and mental well-being, especially among younger users.
A superhuman AI through the neural code
AI expert Michael Azoff predicts machines will outperform human brains by cracking the neural code and simulating consciousness.
From 4O to O1
OpenAI's o1 model showcases advanced AI reasoning, raising excitement and concerns for its capabilities, safety issues, and implications for AI development and regulation.
Posthumanism vs Transhumanism
Posthumanism vs. transhumanism: philosophical movements reshaping our understanding of human potential in the technological age.
Recognize AI-generated media
Identify AI-generated content across various media. Discover key indicators for spotting fake images, videos, audio, and social media bots.
ChatGPT’s Advanced Voice Mode is uncanny
ChatGPT's Advanced Voice Mode showcases impressive AI-generated audio capabilities, from language translation to character imitation.
Figure 02, the second generation of humanoid robot
Figure unveils an advanced humanoid robot with natural language processing, improved capabilities, and industry backing.
LLMs cannot learn on their own
A new study challenges fears about AI's uncontrollable nature, showing Large Language Models lack emergent abilities and remain predictable.
