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- 🤖🔥 Microsoft’s Phi Models, Google's AI Safety Upgrades, & Wolfram’s Neural Breakthroughs
🤖🔥 Microsoft’s Phi Models, Google's AI Safety Upgrades, & Wolfram’s Neural Breakthroughs
Welcome back! This is The AI Takeover, read this daily so you don’t get left behind by AI! In todays newsletter:
- 🚨 🔍 Microsoft Unveils New Phi Models: Small but Mighty in AI Performance
- 🚨 🔬 Stephen Wolfram Unveils Dynamics in Neural Networks
- 🚨 🔒 AI Safety Progress: Enhanced Oversight, Frontier Safety, & Interpretability
NEWS
🔍 Microsoft Unveils New Phi Models: Small but Mighty in AI Performance
Microsoft introduced three new models in its Phi series: Phi-3.5-mini-instruct, Phi-3.5-MoE-instruct, and Phi-3.5-vision-instruct. Each model targets specific AI tasks and delivers impressive benchmark performances. Open-sourced under the MIT License, these models are available on Hugging Face. Despite their smaller size, Phi models have achieved near-state-of-the-art results, surpassing competitors like GPT-4o and Llama in some benchmarks.
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NEWS
🔬 Stephen Wolfram Unveils Dynamics in Neural Networks
Stephen Wolfram, creator of Wolfram|Alpha, conducted an in-depth exploration of machine learning models, uncovering key dynamics related to non-linearities in simple neural networks. His analysis sheds light on the complex behaviors within these models, offering new insights into their underlying mechanisms.
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NEWS
🔒 AI Safety Progress: Enhanced Oversight, Frontier Safety, & Interpretability
Google DeepMind's AGI Safety & Alignment team provided an update on their efforts to mitigate existential risks from AI. Their focus areas include enhanced oversight, frontier safety, and mechanistic interpretability. Recent achievements and collaborations were highlighted, along with ongoing efforts to refine their technical approach and address emerging challenges in AGI safety.
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