• OpenAI Leadership Shake-up: Implications for the Future of AGI

    OpenAI Leadership Shake-up: Implications for the Future of AGI

    by

    in

    OpenAI, a leader in artificial intelligence research, has recently experienced significant leadership changes that have sparked widespread curiosity about the organization’s future direction in AI and AGI development. Amidst these shifts, questions arise about OpenAI’s continued focus on large language models, potential new projects under new leadership, and their evolving role within the broader AI…

  • The Dark Side of AI: How Cybercriminals are Weaponizing Language Models

    The Dark Side of AI: How Cybercriminals are Weaponizing Language Models

    by

    in

    AI cybercrime births ‘Mallas’ – malicious LLMs enabling cheap, scalable attacks; vigilance and human judgment are the best defense.

  • The Jevons Effect and the Rise of Large Language Models: A Modern Paradox

    The Jevons Effect and the Rise of Large Language Models: A Modern Paradox

    by

    in

    Discover how the Jevons Paradox, a concept born in the coal mines of 19th-century England, is now influencing the realm of artificial intelligence, particularly with Large Language Models (LLMs). As AI technology advances, explore the balance between innovation and sustainability to shape a future where efficiency doesn’t come at the expense of our planet.

  • LLMs and World Models: Do AI’s Dream of Coherent Realities?

    LLMs and World Models: Do AI’s Dream of Coherent Realities?

    by

    in

    In the rapidly evolving realm of artificial intelligence, Large Language Models (LLMs) have become digital storytellers, engaging in everything from casual banter to crafting intricate narratives. However, the ongoing debate centers on whether these AI can genuinely understand and model the world they describe, a challenge that continues to push the boundaries of modern science…

  • STaR: The AI That Teaches Itself to Reason

    STaR: The AI That Teaches Itself to Reason

    by

    in

    Discover the fascinating world of STaR, the Self-Taught Reasoner, a breakthrough AI model that excels in common-sense reasoning with minimal data input. Learn how STaR outperforms traditional models, setting new standards for adaptability and intelligence while paving the way for more explainable artificial intelligence.