Self improve beebee learns all the time and is designed to combine besearch cycles to improve outcome or computational models. Should this extend to self improving its own code base or by definition is that what it has been designed to do? Each peer has agency over beebee, will peer cede their agency? Given the need to achieve coherence with other peers this provides a self regulating incentive to keep compatible or will beebee self organize for their own goals?

letting beebee learn HOPqueries With the release of v0.4.1 of BentoBoxDS out, we can now focus on how to give beebee the ability to directly or via a local LLM the ability to learn how to build a HOPquery. What is a HOPquery? It is the data structure required to be input to HOP to produce results and a proof of work from a successful HOP cycle, for example, chart the numbers 1 2 3 and produce a chartjs dataset or perform an daily average heart rate. There are different techniques to train a LLMs but we will focus on fine tuning. This requires a list of example inputs and results. Using the human tool bars within BentoBoxDS provides example HOPqueries, what we need add, is to write prompts for those queries. For example. give me the average heart rate for the first week of August and map that two a HOPquery?

Building for all devices Never bet against the web. As the Internet via web browsers gives the best chance of websites or apps being available. However, browsers are not peer to peer friendly at present so we build for Linux, Mac and Windows. Most of the code will work for all but subtle changes are evident and an industry exists to offer tools to address those. Now in the era of AI agents we can build for those from a prompt and build for the web using peer to peer data plumbing. Never best against the web, especially a peer to peer enable web.

Besearch cycles The main way to learn and use HOP to give BentoBoxDS visualizations that aid decision making or to achieve coherence on a topic, question, simulation or machine learning. A Besearch cycle can be broken down into four parts https://beebeehop.any.org/besearch 1 Ground in context of sovereign data 2 Learn from all existing knowledge 3 Explore computation spaces of solutions 4 Achieve coherence on outcomes to DML beebee role will be to assist in making, joining and combine many besearch cycles. How beebee makes those collaborations will need its own learning cycles?

Agency to self improve? Should beebee given the agency to improve a BentoBoxDS user experience? If yes, when should that be allowed? All the time, at direction of a peer or beebee suggests recommended improvements, allows a peer to experience the upgraded experience and then accept changes if they happy? The last option seems most practical. But allowing beebee to update the BentoBoxDS code per installation means beebee needs to have access locally or via the network to a coding agent. Currently https://github.com/All-Hands-AI is being used by HOP developers. Giving beebee access to such tools and coding agents will be a big test. All changes will need to be compatible with HOP so testing improvements will be tricky but doable.