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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.

• Every day trending & featured AIs boost your profession and business.

• GridMatrix will use AI to administer 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 serious miscalculation amid the rise of AI technologies.

• Nvidia’s AI Market Challenges – Despite a $900 billion selloff, major clients proceed to take a position 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 provide useful humanoid robots for internal use next yr, raising questions on their practicality and necessity.

• Writer 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 event of ChatGPT and an early pioneer in deep reinforcement learning, made the numerous decision to go away OpenAI and join Anthropic, an organization founded by one other former OpenAI worker, Dario Amodei, and is currently one among OpenAI’s fundamental competitors. An interview he gave earlier this yr also hinted at his departure.

His departure is an element of a bigger trend of notable exits from OpenAI. A lot of these exits are as a consequence of a desire to pay attention more on AI alignment research, which focuses on the moral and questions of safety surrounding AI technologies.

Reasons for Leaving OpenAI:

In his farewell letter to OpenAI colleagues, Schulman expressed a desire to focus on AI alignment research. This echoes similar reasons given by other former colleagues, equivalent to Ilya Sutskever and Jan Leike, indicating a shared concern amongst 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 event of LLMs. He described pre-training because the phase where models learn to mimic the content available on the web, including web pages and code, making them able to generating similar outputs. This phase involves training the model to predict the subsequent 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 web content but for utility and engagement in human interactions.

• Advancements in AGI: Schulman predicted that inside the subsequent few years, AI models can be able to undertaking more complex tasks that transcend easy function suggestions to managing entire coding projects, indicating a major step towards AGI. This involves not only understanding high-level directives but in addition 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 make sure the protection and control of AI technologies as they advance. This cautious approach reflects his prioritization of alignment and safety in the event of increasingly powerful AI models.

Why It Matters:

Schulman’s departure from OpenAI and his subsequent deal with Anthropic underline a critical juncture in AI development where safety, ethics, and alignment have gotten as crucial because the technological advancements themselves.

His insights into LLMs and AGI reflect each the probabilities and the prudent considerations crucial as AI technologies approach the brink of generalized intelligence.

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AI IN TRAFFIC

GridMatrix will use AI to administer traffic in Seminole County.

GridMatrix, a California-based AI company, is about to revolutionize traffic management in Seminole County, Florida, through a pioneering partnership with HDR and MetroPlan Orlando. This initiative goals to integrate artificial intelligence with existing traffic infrastructure to reinforce 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 watch 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 raised the commuting experience.

Why It Matters:

This project represents a major step forward in urban planning and public safety. By employing AI in traffic management, Seminole County is on the forefront of adopting revolutionary technologies to resolve on a regular basis problems.

This not only guarantees to scale back traffic-related incidents and improve flow but in addition sets a precedent for other regions to follow. Enhancing road safety through technology not only saves lives but in addition optimizes commuting times, making every day travel less stressful and more predictable for residents.

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