“Once data prove the tech cuts drunk-driving crashes, insurers may trim rates.”
Why would any insurance company want to cut into their profits by reducing rates?
175 karma · joined April 28, 2016
“Once data prove the tech cuts drunk-driving crashes, insurers may trim rates.”
Why would any insurance company want to cut into their profits by reducing rates?
`if __name__ == "__main__":`
I have no idea where that line first appeared, so figuring out what license it was originally written under would be difficult to track down, and most software only has license info at the file rather than line level.
I was under the impression that more protein and less salt/fat/carbs are still kinda the trend? If more fiber gets added to the mix I guess it is essentially telling people to eat more plants, thus leading to more varied diets overall.
Egg whites, lean meats, etc? Strict whole food plant based?
Also curious about how long updating/scraping the data took (or takes since I assume you update it periodically).
A quick search for the stepper motor drivers used shows sets of 5 for around $15, perhaps pair with a cheaper microcontroller than the Arduino Uno and total BOM costs could be $30 or so.
That said, I shared a cool post I came across (not a Show HN) about drone hacking. It basically got 0 traction. Not even 10 hours later someone else shared the exact same link and got 100+ upvotes and decent discussion. Which seems to point to a giant element of luck and the right eyes seeing the thing shared.
Though I guess this makes Show HN essentially like the rest of HN where interesting content gets buried and the outcome is entirely random chance. As an example https://news.ycombinator.com/item?id=46648740 went more or less unnoticed, then someone else shared the exact same link less than 10 hours later with the opposite result in https://news.ycombinator.com/item?id=46654749
Some of the main technical details that I find interesting are:
* Agentic loop that uses a "Plan-Execute-Analyze-Review" workflow to navigate binaries
* RAG for context awareness by creating a semantic map of binaries, so relevant cross-references and function definitions can be pulled into the LLMs context window as needed
* Local Ollama LLMs for privacy/security, no data is sent to external APIs
I'm not the author, but we've talked so I may be able to answer some questions about the tool (or ask the author about complex questions).
* Tables as a collection of CSV files, or an Excel workbook
* Contents of streams
* StringPool data dump
* Option to configure file dump to export using either SourceDir paths, or target destination dir paths