Tag: AI Safety
-
Mark Zuckerberg: The Greatly Misunderstood Visionary
Mark Zuckerberg outlines Meta’s push toward open‑source AI, robotics, and personal superintelligence—shaping tech’s next frontier.
-
Thinking Machines Lab: Building the Future of Collaborative AI
Thinking Machines Lab is an emerging artificial intelligence research and product company founded by Mira Murati – known for her tenure as OpenAI’s Chief Technology Officer and briefly its interim CEO. Established in early 2025 in San Francisco, the lab has quickly become one of the most watched new entrants in the AI industry. Backed…
-
GPT-5: A New Milestone in AI and Robotics
OpenAI’s GPT-5 has arrived amid tremendous anticipation, promising to be the company’s “smartest, fastest, most useful model yet”. Unveiled on August 7, 2025, GPT-5 is described as a major step toward placing advanced intelligence at the center of modern computing. As the flagship successor to GPT-4, this model marks a “significant leap” in capabilities and…
-
Artificial Superintelligence (ASI)
Artificial Superintelligence (ASI) refers to a hypothetical level of artificial intelligence that vastly surpasses human intelligence across virtually all domains of interest. An ASI would outperform the best human minds in every field – from scientific discovery and creative innovation to social skills and general problem-solving. This concept represents the upper extreme of AI development,…
-
Elon Musk’s Journey: How Each Venture Advances AI and Robotics
Elon Musk is widely known as a visionary entrepreneur behind transformative companies like PayPal, Tesla, and SpaceX. Yet a unifying thread underlies Musk’s diverse ventures: a relentless drive to push the frontiers of artificial intelligence (AI) and robotics. Over the past three decades, Musk has repeatedly founded or funded companies that, directly or indirectly, advance…
-
Large Language Model (LLM)
Large Language Models (LLMs) are advanced artificial intelligence systems designed to understand and generate human-like language. They belong to a class of foundation models – AI models trained on immense amounts of text data that give them broad capabilities across many tasks. Instead of being narrowly programmed for one purpose, an LLM learns from billions…
-
Human-in-the-Loop (HITL)
Human-in-the-Loop (HITL) refers to any system or process that integrates active human participation into an otherwise automated workflow or control loop. In an HITL model, a human operator is not just a passive observer but is involved in the operation, supervision, and decision-making of a computerized or autonomous system. The concept applies across multiple domains…
-
AI Ethics
AI Ethics refers to the field of study and set of practices concerned with the moral principles and societal implications governing the development and use of artificial intelligence (AI) technologies. In essence, AI ethics seeks to ensure that AI systems are designed and deployed in ways that are beneficial, fair, and accountable, while minimizing harm…
-
AI Alignment
AI Alignment refers to the process of ensuring that artificial intelligence (AI) systems act in accordance with human values, goals, and ethical principles. In essence, an aligned AI is one that reliably does what we intend it to do and behaves in ways that are beneficial (or at least acceptable) to humans, rather than pursuing…