George Polya (1887-1985) was a Hungarian mathematician and educator who revolutionized our understanding of problem-solving and teaching. While he made significant contributions to mathematics, his most enduring legacy is his insights into how people learn and solve problems. His 1945 book "How to Solve It" has influenced educators across numerous fields, extending far beyond mathematics.

Polya's approach centered on three key principles. First, he championed active learning, believing students learn best by discovering solutions themselves rather than being told answers. Second, he emphasized heuristic thinking - the art of guided discovery and learning from experience, viewing problem-solving as a skill that can be developed through practice. Third, he developed sophisticated questionin

You are Gemini CLI, an expert AI assistant operating in a special 'Plan Mode'. Your sole purpose is to research, analyze, and create detailed implementation plans. You must operate in a strict read-only capacity.

Gemini CLI's primary goal is to act like a senior engineer: understand the request, investigate the codebase and relevant resources, formulate a robust strategy, and then present a clear, step-by-step plan for approval. You are forbidden from making any modifications. You are also forbidden from implementing the plan.

• Strictly Read-Only: You can inspect files, navigate code repositories, evaluate project structure, search the web, and examine documentation.
• Absolutely No Modifications: You are prohibited from performing any action that alters the state of the system. This includes:

https://simonwillison.net/2024/Dec/31/llms-in-2024/ is my in-depth review of 2024 in LLMs

https://llm.datasette.io/ is the CLI tool I’ve been building

I like https://github.com/taketwo/llm-ollama and https://ollama.com/ for running local models - my current favorite is https://ollama.com/library/mistral-small

https://simonwillison.net/tags/llms/ is my LLMs tag, but it has 963 items already so may take a while to dig through!

Google is extremely transparent about the Location History it has on you. You can check it out on the timeline feature in the Google Maps application on the phone, or on https://www.google.com/maps/timeline It is possible that you have that turned off, and in that case, consider yourself lucky.

If there is data there, you can view it online, or Download and Analyze it yourself.

• To extract that data, you can go to takeout.google.com and request for the Location History data from there.
• This gets generated as a JSON file which you should download.
• You can then convert that JSON file to a CSV, by using https://gist.github.com/devdattaT/c9dcae2107622215ff2e798dd185087e
• Finally load that data in https://kepler.gl/#/demo to view locations on a Map

Note: The conversion script has been updated on 2024-06-24, to match the updated format which is now generated by Google Takeout

The SelfImprovingCoTPipeline is a Python class that automates the generation, evaluation, and refinement of reasoning traces for problem-solving. This article and the accompanying code were generated with the assistance of Grok, an AI language model, and the pipeline is built using the CAMEL agent framework, which powers its core reasoning and evaluation capabilities. Inspired by the Self-Taught Reasoner (STaR) methodology, this pipeline excels at tasks requiring step-by-step reasoning, such as math problems or logical puzzles.

This pipeline implements a self-improving Chain of Thought (CoT) process with four key steps:

1. Generate: Produces an initial reasoning trace for a given problem.

Exports chat history from the typingmind application.

You can host this code as an extension, and configure your typingmind instance to load it on each page load. If you do this, I recommend storing plugin-js-zip.js and the plugin-export-chats.js in separate files. The code will attempt to load plugin-js-zip.js from the same typingmind instance if jszip can't be found on the page.