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GPT-5: Faster, Smarter, and More Capable – What’s New in ChatGPT

OpenAI Launches GPT-4o,Bridging gap to Human-Like Interaction

SAN FRANCISCO,CA – May 13,2024 – OpenAI today announced GPT-4o,a significant upgrade to its flagship chatbot,boasting faster response times,improved multi-modal capabilities (handling text,voice,and vision simultaneously),and a new level of personalization. The rollout includes optional “personalities” – Cynic, Robot, Listener, and Nerd – allowing users to tailor ChatGPT’s conversational style. The announcement, made during a live exhibition led by OpenAI CEO Sam Altman, signals a move towards more natural and intuitive AI interactions.

New Features: Personalities and Integrated Access

GPT-4o introduces a key feature: selectable personalities. Users can now instruct ChatGPT to respond as a Cynic, Robot, Listener, or Nerd, influencing its tone and approach to conversations.This aims to provide a more customized and engaging user experience. Altman emphasized the speed improvements, demonstrating near real-time voice conversations with the chatbot.

Beyond personality options, OpenAI is expanding ChatGPT’s functionality by enabling integration with Google Calendar and Gmail. This allows the chatbot to access and analyse user data – with explicit user permission – to provide proactive assistance, such as scheduling reminders or summarizing email threads. the integration will initially be available to ChatGPT Plus subscribers starting next week, with wider availability planned for other subscription tiers. Data privacy remains a key concern, and OpenAI stresses that users retain control over data access.

The Path to Artificial General Intelligence (AGI)

OpenAI views GPT-4o as a crucial step towards achieving Artificial General Intelligence (AGI), defined as AI possessing human-level cognitive abilities. However, Altman cautioned that the model is still far from achieving this goal, primarily due to its lack of continuous learning capabilities while deployed. Currently, GPT-4o’s knowledge is static, based on the data it was trained on, and doesn’t evolve through ongoing interactions.

The pursuit of AGI is a competitive landscape. Meta, led by CEO Mark Zuckerberg, is actively investing in AI research, aiming for “superintelligence” – a hypothetical AI exceeding human intelligence in all aspects. Meta has been aggressively recruiting AI talent, including researchers from DeepMind and other leading institutions. Recent surveys indicate skepticism within the AI community regarding the scalability of large language models (LLMs) like GPT-4o to reach AGI levels. A January 2024 survey of AI experts revealed that 75% expressed doubts about llms being able to scale to achieve true general intelligence. Researchers at institutions like the University of California, Berkeley, and Stanford University are exploring alternative AI architectures, such as neuro-symbolic AI, which combine neural networks with symbolic reasoning.

OpenAI’s current focus remains on improving the capabilities of LLMs while simultaneously exploring other avenues towards AGI. The company has allocated significant resources to research in areas like reinforcement learning and robotics,aiming to create AI systems that can interact with the physical world and learn from experience.

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