About:

Matt Boegner is a data architect with expertise in data engineering, focusing on data analytics and ML/AI solutions, and interested in technology policy, renewable energy, and fintech.

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Technology policy Renewable energy Fintech

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An automated pipeline for evaluating popular science books against replication literature addresses the challenges of misinformation and emphasizes the importance of source quality in research.
AI technologies are set to enter mainstream awareness through Super Bowl ads, prompting a need for public understanding of their societal impacts and the ongoing discourse surrounding them.
The text provides recommendations for software engineers on which LLM to use for coding and technical tasks, comparing models like OpenAI o1/o1 Pro, Anthropic Claude 3.5 Sonnet, Google Gemini 2.0 Flash Thinking Experimental, and o...
The text is a tutorial for a game called 'Set the Market' which is a prediction market game that can be played by 3-10+ players. It involves players setting a range for a numerical answer to a trivia question, and the player who s...
The text discusses the economic cost of unreliable Wi-Fi service on the Amtrak Acela line, estimating the cost of lost productivity due to connectivity issues. It provides data on passenger numbers, trip lengths, and average speed...
The text discusses the architectural best practices for data-informed language model applications, particularly focusing on knowledge retrieval for large language models. It outlines the shortcomings of existing methods and presen...
The text is a semi-categorized list of links that provides a starting point for exploring exciting advancements in AI. It includes information on the exponential growth of AI papers on arXiv, automations, utilities, and products, ...
The public release of the model weights for Stability AI's Stable Diffusion text-to-image engine will revolutionize the art world, allowing anyone to synthesize high-quality images. This represents the mainstreaming of a powerful,...
Stability.ai released their text-to-image model into beta testing, showing impressive results in generating realistic faces, higher fidelity rendering for digital art, and the ability to anchor on a stable seed and iterate on the ...
The author has been experimenting with AI-generated art for 8 months and shares a set of images generated via the DALL·E-2 Model. The post includes images mimicking the unique styles of several artists and mentions upcoming posts ...
The post shares resources for those interested in learning about advancements in the AI space, including introductory overviews, technical overviews, books, art, and career advice.
The text discusses seven data engineering trends to watch in 2021, including the scarcity of data engineering talent, the rise of notebook interfaces, the importance of scalable data platforms, the challenges of multi-cloud operat...
The post discusses the 'gaps and islands' problem in SQL, which involves identifying groups of continuous data and groups where the data is missing. It provides a case study and examples of how to solve this problem using SQL. It ...
The text discusses the challenges of operating in a data-driven environment and how Apache Airflow can help manage complex workflows. It explains the basics of Airflow, its capabilities, and how it can be integrated with Silectis ...
The text is a collection of short book reviews for the summer of 2019. It includes reviews of books such as 'Kitchen Confidential', '80,000 Hours: Find a fulfilling career that does good', 'Doing Good Better', and 'Inadequate Equi...
The text discusses the importance of asking uncomfortable questions before accepting a job offer, as job descriptions and interviews often lack transparency. It provides a list of questions to ask potential employers to gain a bet...
Chamonix is a historic and iconic destination for mountaineers and skiers, offering unique skiing experiences, stunning geography, and a strong sense of community. The town is known for its raw experience of powder and steep skiin...