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A major goal in Buddhist philosophy is the removal of suffering for all sentient beings, an aspiration often referred to in the Bodhisattva vow. [1] Discussions about artificial intelligence (AI) in relation to Buddhist principles have raised questions about whether artificial systems could be considered sentient beings or how such systems might be developed in ways that align with Buddhist ...
In Vajrayana Buddhism, particularly in Tibetan Buddhist practices, alcohol may be used during specific rituals, such as the Ganachakra feast. This ritual involves the consumption of alcohol in a controlled manner, symbolizing the transformation of negative emotions and attachments into wisdom and compassion. [89] [90] [91]
Many modern Buddhist schools have strongly discouraged the use of psychoactive drugs of any kind; however, they may not be prohibited in all circumstances in all traditions. Some denominations of tantric or esoteric Buddhism especially exemplify the latter, often with the principle skillful means:
According to OpenAI, Deep Research has already achieved a new high score of 26.6% on "Humanity's Last Exam," an AI benchmark of expert-level questions, beating GPT-4's 3.3% score. However, OpenAI ...
In the first-of-its-kind partnership, Sanofi will give OpenAI access to its databases, hoping that generative AI can be the key to quicker and more effective drug development.
OpenAI on Friday laid out a plan to transition its for-profit arm into a Delaware public benefit corporation (PBC) to help it raise capital and stay ahead in the costly AI race against companies ...
Reinforcement learning was used to teach o3 to "think" before generating answers, using what OpenAI refers to as a "private chain of thought". [10] This approach enables the model to plan ahead and reason through tasks, performing a series of intermediate reasoning steps to assist in solving the problem, at the cost of additional computing power and increased latency of responses.
OpenAI cited competitiveness and safety concerns to justify this strategic turn. OpenAI's former chief scientist Ilya Sutskever argued in 2023 that open-sourcing increasingly capable models was increasingly risky, and that the safety reasons for not open-sourcing the most potent AI models would become "obvious" in a few years. [301]