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In a landscape as dynamic as artificial intelligence, the movements of key players can signal significant shifts in direction and focus.

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TODAY’S AI SECRET:

• ChatGPT creator's prediction of AGI foreshadowed his departure.

• Daily trending & featured AIs boost your career and business.

• GridMatrix will use AI to manage traffic in Seminole County.

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TODAY’S AI WORLD

• Palantir Partners with Microsoft for Defense Solutions - Palantir shares rose 6% following the announcement of a partnership with Microsoft to deliver secure cloud and AI capabilities to U.S. defense and intelligence sectors.

• Intel's Billion-Dollar Blunder - Intel's decision to forgo investment in OpenAI is now seen as a major miscalculation amid the rise of AI technologies.

• Nvidia's AI Market Challenges - Despite a $900 billion selloff, major clients continue to invest heavily in AI infrastructure.

• Black Sesame's Troubling Debut - Shares of AI chipmaker Black Sesame International fell 27% on their first day of trading in Hong Kong, following a $133 million IPO.

• Tesla's Humanoid Robots Announcement - Tesla plans to produce useful humanoid robots for internal use next year, raising questions about their practicality and necessity.

• Author Magna’s Reading Club - US Supreme Court Justice Neil Gorsuch's Case: Fishermen Persecuted Absurdly.

AI SAGA

ChatGPT creator's prediction of AGI foreshadowed his departure.

John Schulman, a key figure in the development of ChatGPT and an early pioneer in deep reinforcement learning, made the significant decision to leave OpenAI and join Anthropic, a company founded by another former OpenAI employee, Dario Amodei, and is currently one of OpenAI's main competitors. An interview he gave earlier this year also hinted at his departure.

His departure is part of a larger trend of notable exits from OpenAI. Many of these exits are due to a desire to concentrate more on AI alignment research, which focuses on the ethical and safety issues surrounding AI technologies.

Reasons for Leaving OpenAI:

In his farewell letter to OpenAI colleagues, Schulman expressed a desire to concentrate on AI alignment research. This echoes similar reasons given by other former colleagues, such as Ilya Sutskever and Jan Leike, indicating a shared concern among top AI researchers about ensuring AI technologies align with human values and safety standards.

Understanding of LLMs and AGI:

• Pre-Training and Post-Training Phases: Schulman discussed the distinct roles of pre-training and post-training in the development of LLMs. He described pre-training as the phase where models learn to mimic the content available on the internet, including web pages and code, making them capable of generating similar outputs. This phase involves training the model to predict the next token in a sequence, based on previous tokens, thereby maximizing the log likelihood of the token sequence.

• Post-Training Optimization: In contrast, post-training involves refining the model to perform specific tasks like acting as a chat assistant. This phase shifts from mimicking to generating useful and likable outputs, optimized not for raw reproduction of internet content but for utility and engagement in human interactions.

• Advancements in AGI: Schulman predicted that within the next few years, AI models would be capable of undertaking more complex tasks that go beyond simple function suggestions to managing entire coding projects, indicating a significant step towards AGI. This involves not only understanding high-level directives but also engaging in iterative and autonomous coding, testing, and debugging processes.

• Safety and Control in AI Development: In his discussion, Schulman highlighted the importance of halting further training temporarily to ensure the safety and control of AI technologies as they advance. This cautious approach reflects his prioritization of alignment and safety in the development of increasingly powerful AI models.

Why It Matters:

Schulman's departure from OpenAI and his subsequent focus on Anthropic underline a critical juncture in AI development where safety, ethics, and alignment are becoming as crucial as the technological advancements themselves.

His insights into LLMs and AGI reflect both the possibilities and the prudent considerations necessary as AI technologies approach the threshold of generalized intelligence.

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AI IN TRAFFIC

GridMatrix will use AI to manage traffic in Seminole County.

GridMatrix, a California-based AI company, is set to revolutionize traffic management in Seminole County, Florida, through a pioneering partnership with HDR and MetroPlan Orlando. This initiative aims to integrate artificial intelligence with existing traffic infrastructure to enhance safety and efficiency on the roads.

The Details:

• AI-Enhanced Traffic Management: GridMatrix and HDR will overlay AI on traffic camera feeds in Seminole County to monitor and analyze traffic conditions in real-time.

• Safety Improvements: The technology will track signal performance, congestion, accidents, and near-miss collisions to generate safety-enhancing findings.

• Collaborative Effort: The partnership involves local government and planning organizations, combining resources and expertise to better the commuting experience.

Why It Matters:

This project represents a significant step forward in urban planning and public safety. By employing AI in traffic management, Seminole County is at the forefront of adopting innovative technologies to solve everyday problems.

This not only promises to reduce traffic-related incidents and improve flow but also sets a precedent for other regions to follow. Enhancing road safety through technology not only saves lives but also optimizes commuting times, making daily travel less stressful and more predictable for residents.

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