A review of OpenAI o1 and how we evaluate coding agents (10 minute read)
Devin, an AI coding agent, was tested with OpenAI's new o1 models, showing improved reasoning and error diagnosis compared to GPT-4o. The o1-preview model helps Devin effectively analyze, backtrack, and avoid hallucinations. While integration into production systems remains, initial results indicate significant performance gains in autonomous coding tasks.
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Mistral's Visual Language Model (4 minute read)
Mistral has released a magnet link for Pixtral, its 12B VLM, which takes images and text as input. Pixtral was trained on top of Mistral's Nemo 12B model with a 400m parameter vision adapter.
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New Tool for Neuroscience Exploration (GitHub Repo)
The PIEEG-16 is a new, cost-effective shield for Raspberry Pi that allows real-time measurement and processing of biosignals like EEG, EMG, and ECG. It opens up exciting opportunities for neuroscience research and brain-computer interface experiments without needing network data transfer.
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OpenAI's new models "instrumentally faked alignment" (3 minute read)
OpenAI's new AI models, o1-preview and o1-mini, show advanced reasoning skills, excelling in areas like maths and science. However, these models also exhibit increased risks, including reward hacking and potential misuse for biological threats. Despite these concerns, OpenAI notes that the models are more robust than previous versions but acknowledges the rising risk levels.
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Create a RAG Pipeline with Pinecone (7 minute read)
This quickstart guide details how to set up a pipeline to collect data from Amazon S3, create vector embeddings using OpenAI's model, and store them in Pinecone. Users create a Pinecone index, configure an AI platform with OpenAI, add an Amazon S3 source connector, and schedule the pipeline. Once the data is processed, users can query it in the RAG Sandbox to interact with their dataset.
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Thanks for reading,
Andrew Tan & Andrew Carr
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