Fantasy Meets Reality
13 by dmazin | 0 comments on Hacker News.
Monday, July 31, 2023
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Sunday, July 23, 2023
New top story on Hacker News: Show HN: High school transcript generator for homeschoolers
Show HN: High school transcript generator for homeschoolers
8 by jkurnia | 0 comments on Hacker News.
Hi everyone, Great Books Homeschool has just released this free tool for generating high school transcripts using the standard American unweighted GPA system. It's available to the public at no cost, and no account creation is required. These are both resources that would have saved me time as a new homeschooling parent, and I hope they are helpful to others. Comments and feedback are welcome!
8 by jkurnia | 0 comments on Hacker News.
Hi everyone, Great Books Homeschool has just released this free tool for generating high school transcripts using the standard American unweighted GPA system. It's available to the public at no cost, and no account creation is required. These are both resources that would have saved me time as a new homeschooling parent, and I hope they are helpful to others. Comments and feedback are welcome!
Saturday, July 22, 2023
Friday, July 21, 2023
New top story on Hacker News: Three lessons from negative trends in vertical farming
Three lessons from negative trends in vertical farming
22 by neovialogistics | 33 comments on Hacker News.
22 by neovialogistics | 33 comments on Hacker News.
Thursday, July 20, 2023
Wednesday, July 19, 2023
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Thursday, July 13, 2023
New top story on Hacker News: Show HN: Free AI-based music demixing in the browser
Show HN: Free AI-based music demixing in the browser
34 by sevagh | 2 comments on Hacker News.
Hi all, I've spent some time working on music demixing or music source separation algorithms, which take in a mixed song and output estimates of isolated components (e.g. vocals, drums, bass, other). I took a popular PyTorch model with good performance (Open-Unmix, UMX-L weights), reimplemented the inference steps in C++, and compiled it to WebAssembly for a free client-side music demixer.
34 by sevagh | 2 comments on Hacker News.
Hi all, I've spent some time working on music demixing or music source separation algorithms, which take in a mixed song and output estimates of isolated components (e.g. vocals, drums, bass, other). I took a popular PyTorch model with good performance (Open-Unmix, UMX-L weights), reimplemented the inference steps in C++, and compiled it to WebAssembly for a free client-side music demixer.
Wednesday, July 12, 2023
Tuesday, July 11, 2023
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Wednesday, July 5, 2023
New top story on Hacker News: Ask HN: What boosted your confidence as a new programmer?
Ask HN: What boosted your confidence as a new programmer?
6 by optbuild | 5 comments on Hacker News.
When anyone starts out in a new craft, even after grasping the fundamentals of the tools they are quite shaky and low on confidence until they have a significant experience in doing something that ultimately ramps up their confidence in their craftsmanship. Similar things happen with novice programmers when they start out. Then they read a beautiful codebase which they can fully understand and replicate, or build a project from scratch, or read a book or take a class on a subject. And their confidence is tremendously boosted thereafter. What was it for you? How did you gain this confidence to take the first step from being a tinkerer to being a skilled craftman?
6 by optbuild | 5 comments on Hacker News.
When anyone starts out in a new craft, even after grasping the fundamentals of the tools they are quite shaky and low on confidence until they have a significant experience in doing something that ultimately ramps up their confidence in their craftsmanship. Similar things happen with novice programmers when they start out. Then they read a beautiful codebase which they can fully understand and replicate, or build a project from scratch, or read a book or take a class on a subject. And their confidence is tremendously boosted thereafter. What was it for you? How did you gain this confidence to take the first step from being a tinkerer to being a skilled craftman?
Tuesday, July 4, 2023
Monday, July 3, 2023
New top story on Hacker News: Ask HN: Who wants to be hired? (July 2023)
Ask HN: Who wants to be hired? (July 2023)
37 by whoishiring | 131 comments on Hacker News.
Share your information if you are looking for work. Please use this format: Location: Remote: Willing to relocate: Technologies: Résumé/CV: Email: Readers: please only email these addresses to discuss work opportunities.
37 by whoishiring | 131 comments on Hacker News.
Share your information if you are looking for work. Please use this format: Location: Remote: Willing to relocate: Technologies: Résumé/CV: Email: Readers: please only email these addresses to discuss work opportunities.
New top story on Hacker News: Show HN: JobLens AI-powered job search for 'Who Is Hiring'
Show HN: JobLens – AI-powered job search for 'Who Is Hiring'
4 by hubraumhugo | 0 comments on Hacker News.
There are existing HN job aggregators, but I thought we could take it a step further. Inspired by an insightful comment on a previous thread ( https://ift.tt/V1DjsGJ ), I built a tool that aggregates job postings and intelligently categorizes them based on user-specific preferences: * Country and remote work preferences * Employer type (e.g., startup, corporation, government) * Industry * Technologies used * Role type (developer, architect, product owner, etc.) * Salary range (where available) One of the superpowers of LLMs is reformatting information from any format X to any other format Y. We leverage this to map all the unstructured job postings into the same unified structure. The new GPT functions feature and the extended context windows are really helpful for this. Instead of having to build a custom NER pipeline, it works very well with GPT out-of-the box. One challenge is keeping the filters consistent and merging of duplicates. Embeddings help with that. What's next: * Integrate additional sources. We can generate web scrapers and data processing steps on the fly that extract and transform data into the same structure. * Add location distance filters. * Expand beyond jobs to monitor personalized data like events or real estate. Imagine using AI to rate local events from multiple sources based on your preferences, considering factors like your interests and distance from home. * Smaller improvements based on your feedback :)
4 by hubraumhugo | 0 comments on Hacker News.
There are existing HN job aggregators, but I thought we could take it a step further. Inspired by an insightful comment on a previous thread ( https://ift.tt/V1DjsGJ ), I built a tool that aggregates job postings and intelligently categorizes them based on user-specific preferences: * Country and remote work preferences * Employer type (e.g., startup, corporation, government) * Industry * Technologies used * Role type (developer, architect, product owner, etc.) * Salary range (where available) One of the superpowers of LLMs is reformatting information from any format X to any other format Y. We leverage this to map all the unstructured job postings into the same unified structure. The new GPT functions feature and the extended context windows are really helpful for this. Instead of having to build a custom NER pipeline, it works very well with GPT out-of-the box. One challenge is keeping the filters consistent and merging of duplicates. Embeddings help with that. What's next: * Integrate additional sources. We can generate web scrapers and data processing steps on the fly that extract and transform data into the same structure. * Add location distance filters. * Expand beyond jobs to monitor personalized data like events or real estate. Imagine using AI to rate local events from multiple sources based on your preferences, considering factors like your interests and distance from home. * Smaller improvements based on your feedback :)
Sunday, July 2, 2023
New top story on Hacker News: Show HN: bigwav.app Transcription and Annotation using just a web browser
Show HN: bigwav.app – Transcription and Annotation using just a web browser
13 by emadda | 1 comments on Hacker News.
Hello, I released this recently, take a look: https://bigwav.app
13 by emadda | 1 comments on Hacker News.
Hello, I released this recently, take a look: https://bigwav.app