Amazon develops another AI model to compete with OpenAI

Hello, AI Enthusiasts!

Welcome to FavTutor’s AI Recap! We’ve gathered all the latest and important AI developments for the past 24 hours in one place, just for you.

In Today’s Newsletter: 😀 

• Amazon develops another AI model to compete with OpenAI

• AI2 launches fully open Llama competitor

• AI outperforms experts at predicting scientific results

Amazon
🌐 Amazon develops another AI model to compete with OpenAI

Amazon has reportedly developed a new AI model codenamed Olympus, focusing on advanced video and image processing capabilities — with a potential release slated as early as next week.

Insights for you:

• The model reportedly excels at detailed video analysis, able to track specific elements like a basketball's trajectory or underwater drilling equipment issues.

• While reportedly less sophisticated than OpenAI and Anthropic in text generation, Olympus aims to compete through specialized video processing and competitive pricing.

• This development comes despite Amazon's recent $8 billion investment in Anthropic, suggesting a dual strategy of partnership and in-house AI development.

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A12
😲 AI2 launches fully open Llama competitor

Research institute AI2 just released OLMo 2, a new family of fully open-source language models that matches the performance of similar-sized competitors like Meta’s Llama.

Insights for you:

• The 7B and 13B models were trained on a 5T token dataset of high-quality academic content, filtered web data, and specialized instruction sources.

• The OLMo models achieved similar or better results while using less computing power than competitors and being smaller in size.

• The models are fully open, with AI2 providing access to source code, training data, and a dev package with training recipes and evaluation frameworks.

• The release also includes instruction-tuned variants, which achieve competitive results against leading open models like Qwen 2.5.

AI
🧪 AI outperforms experts at predicting scientific results

A new study from the University College of London just revealed that AI systems can predict scientific outcomes significantly better than expert neuroscientists — also uncovering ‘hidden’ patterns in research that could help better guide future studies.

Insights for you:

• A ‘BrainBench’ tool was used to test 15 AI models and 171 neuroscience experts’ ability to distinguish real vs. fake outcomes in research abstracts.

• The AI models achieved 81% accuracy, compared to 63% for the experts — with a ‘BrainGPT’ trained on neuroscience papers scoring even higher at 86%.

• The success suggests scientific research follows more discoverable patterns than previously thought, which AI can leverage to guide future experiments.

• The researchers are developing tools to help scientists validate experimental designs before conducting studies, potentially saving time and resources.