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Babson AI Club Newsletter

Mirhaan Rajani - Tuesday, March 4, 2025
 Events 

 

๐Ÿง‘๐Ÿป‍๐Ÿ’ป Tech Week


OpenAI’s GPT-4.5 Orion: The Next AI Powerhouse?

OpenAI has unveiled GPT-4.5 ‘Orion’, its most advanced language model yet. Designed for richer conversations and deeper reasoning, Orion enhances writing quality and world knowledge. While not a frontier AI model, it outperforms previous iterations in natural interactions. Currently available for ChatGPT Pro users, OpenAI hints at GPT-5’s arrival by May, incorporating its next-gen o3 reasoning model.

Anthropic’s Claude 3.7 Sonnet. Smarter AI, Deeper Thinking

Anthropic has launched Claude 3.7 Sonnet, a model that adapts between fast responses and deeper reasoning. It excels at creative tasks like poetry but sometimes overanalyzes logical problems. Users can access extended reasoning for $20/month, making it ideal for complex problem-solving. 

Elon Musk’s xAI Unveils Grok-3: A Major Leap in AI?

xAI has launched Grok-3, its most advanced AI model yet, featuring enhanced reasoning, contextual understanding, and faster processing. Trained on xAI’s high-performance supercomputing cluster, it leverages thousands of Nvidia H100 GPUs for improved efficiency. Grok-3 is now integrated into X, bringing real-time conversational AI with deeper insights and adaptability. Musk envisions Grok evolving with user interactions, making it a dynamic AI built for constant learning and real-world applications.
 


๐Ÿš€ Futuristic Tech 

SpaceX’s Starship Mega-Test: Will This One Stick the Landing?

SpaceX is gearing up for its eighth Starship test flight on Friday at 5:30 PM CST from Starbase, Texas. The last test ended in failure, with the upper stage breaking apart mid-air. This time, SpaceX aims to recover the booster using its “chopstick” tower arms while testing Starlink satellite simulators. Starship is critical to Mars colonization and NASA’s Artemis moon lander.

The Deep Research Problem: Can AI Actually Think for You?

Benedict Evans explores why AI-powered research still falls short. While AI can aggregate information, it struggles with nuance, selecting the right sources, and asking the right questions. Human judgment remains key to ensuring accuracy and meaningful insights in deep research, as AI often lacks the contextual understanding needed to distinguish between relevant and misleading data. Without human oversight, AI-generated research risks amplifying biases and inaccuracies, leading to flawed conclusions.
 


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