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What the Launch of OpenAI’s o1 Model Tells Us About Their Changing AI Strategy and Vision

Unite.AI

OpenAI's Evolving AI Strategy OpenAI has emphasized scaling models as the key to unlocking advanced AI capabilities since its inception. Historically, neural networks—the backbone of most AI models—have excelled at emulating System 1 thinking.

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PRISM Launches as the World’s First Non-Profit Dedicated to Researching Sentient AI

Unite.AI

While no AI today is definitively conscious, some researchers believe that advanced neural networks , neuromorphic computing , deep reinforcement learning (DRL), and large language models (LLMs) could lead to AI systems that at least simulate self-awareness.

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AI News Weekly - Issue #342: $1 billion gamble to ensure AI doesn’t destroy humanity - Jul 20th 2023

AI Weekly

This capability, made possible through Optical Character Recognition (OCR), is now within your grasp, geeky-gadgets.com MLCommons launches a new platform to benchmark AI medical models With the pandemic acting as an accelerant, the healthcare industry is embracing AI enthusiastically. dataversity.net Is AI advancing too quickly?

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Connectionist AI (artificial neural networks): This approach is inspired by the structure and function of the human brain. It involves building artificial neural networks with interconnected nodes to learn and process information based on vast data.

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What China’s Rise Means for the Future of AI

Artificial Corner

The company—relatively unknown at the time and based in Hangzhou— delivered an AI model on par with its Western counterparts, but developed at a significantly lower cost. First, it validated China’s AI strategy focused on computational efficiency: training large-scale models using less advanced hardware.

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Six Steps Toward AI Security

NVIDIA

In the wake of ChatGPT, every company is trying to figure out its AI strategy, work that quickly raises the question: What about security? Called model cards , they act like truth-in-lending statements, describing AIs, the data they were trained on and any constraints for their use.

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My favorite AI governance research this year so far

AI Impacts

I collected my favorite public pieces of research on AI strategy, governance, and forecasting from 2023 so far. Perhaps the most important question in AI strategy is what should AI labs do? Perhaps the most important question in AI strategy is how can we verify labs' compliance with rules about training runs?