164 karma · joined July 17, 2019
https://evilelectron.com
Your timing could not have been better. Yesterday I was talking to a friend about starting a company to tap into the domestic solar inverter market that is about to have a healthy growth due to FCC banning foreign made inverters with radios.
We are planning to build it around STM32 or ESP32 with US parts sourcing and manufacturing.
We are in the project scoping phase. Hopefully we can get something going soon.
You should have encrypted the email with weak security and dropped hints, like
locked door, ash on the floor, find the key you might be thee
The hardware control team delivers a spec as a document and spreadsheet. The mobile team was using that to code the interface library and validating their code against the server. I converted the document to TSV, sent some parts to Claude and have it write a parser for the TSV keeping all the nuances of human written spec. It took more than 150 iterations to get the parser to handle all edge cases and generate an intermediate output as JSON. Then Claude helped me write a code generator using some custom glue on top of Apollo to generate the code that is consumed by the mobile app.
This whole pipeline runs as part of Github actions and calls Claude only when our library validator fails. There is an md file which is sent to Claude on failure as part of the request to figure out what went wrong, propose a solution and create a PR. This is followed by a human review, rework and merge. Total credits consumed to get here < $350.
I am doing something similar where I have a parser which looks for changes in documentation, matches them with the GraphQL schema and generates code using Apollo. In a nutshell it is a code generator written using Claude to generate more code and on failure goes back to Claude to fix the generator and asks a human for review.
Look again at that dot. That's here. That's home. That's us. — Carl Sagan, Pale Blue Dot, 1994
People on site scan the documents and upload them for archival. The directory monitor looks for new files in the archive directories and once a new file is available, it is uploaded to Drupal. Once a new content is created in Drupal, Drupal triggers the translation and embedding process through llama.cpp. Qwen3-VL-8B is also used for chat and RAG. Client is familiar with Drupal and CMS in general and wanted to stay in a similar environment. If you are starting new I would recommend looking at docling.
I setup a pipeline for inference with OCR, full text search, embedding and summarization of land records dating back 1800s. All powered by the GGUF's you generate and llama.cpp. People are so excited that they can now search the records in multiple languages that a 1 minute wait to process the document seems nothing. Thank you!
ARM should fit well with them, plus it would give them a way to enter the mobile space again, this time by owning the IP and not making hardware.
There’s rumor that due to a large number of people taking ML courses, there will be far more people with ML skills than ML jobs.
I hope this is true. There are so many areas where ML skills could be useful. The sad part would be that some industries would be changed forever. The animation industry for example might not even exist the way it is today.
1. Heat 14oz of milk for 2 minutes in a 700W microwave
2. Add 4oz of cold milk to a container
3. Add 2 spoons of Yogurt (I use Pavel's full cream) to the cold milk and mix
4. Pour the hot milk in the container and stir it
5. Put away in a place where the temperature won't fluctuate much and container won't be disturbed for next 12-18 hour.
I use an oven for this with no per-heating or temperature control.