josephrmartinez on Hacker News
Not saying these are all bad all the time. Just things to maybe start noticing. See what happens when you just hold off on these types of reactions for a moment.
You don't even have to do anything. Just... chill. Be silent. Think about what the person said.
I've found this is a more actionable place to start than something like "read this book" or "take this course"
Just chill out and try not doing that for a few seconds. Not saying this is always the wrong thing to do, but if your intention is to have your friends and colleagues appreciate your listening skills I think this is the starting point. Be more present to the conversation; responding to what they are actually saying and not just habitually reacting.
Do you have a method for practicing leetcode that you think is somehow... better? Or useful? Or interesting?I find the gamification of the leetcode website distracting and not helpful. The solutions space seems noisy and crowded with influencer types.I saw a presentation recently from a developer who made Anki cards for their leetcode problems. That gave them a better way to focus on actually...
npm i mktute
You can select between local model (ollama), claude 3.5 sonnet, or gpt-4. I've been surprised to find sonnet much better in performance and price for this task.
Quick landing page feedback: Could you update it so that the first two screen captures are not the same content? And then pick a different second example that isn't also about leaving a note? More variation in the landing page examples would give me a better intro.
Is it possible to just call them "researchers at xyz institute" and link to their lab rather than "Scandinavian researchers"?
Just a starting point. But if you are interested in this space, fork away and build it into something useful!
My personal take is that the current tools on the market are too expensive. The cost should go way, way down. This should stay open source. Patients should have easy access to full audio recordings and transcriptions of their medical appointments. One can dream!
This extension simply pulls down a transcript for the video you are currently viewing and sends this to the OpenAI API with your task request.
"Generate a vegetarian version of this recipe."
"Extract the materials list for this project."
"What was the book they recommended?"
This extension does not use a speech to text model to transcribe the video or an image recognition model to actually pass along information about what took place in the video. Automatically generated YouTube transcripts are not great quality, but they tend to be totally fine for the lightweight use cases when you just have a simple question on a video with dialogue.
gpt-3.5-turbo-1106 with the 16k token context window is used by default for videos under about ten minutes. For longer videos, the gpt-4-1106-preview model with a 128k context window is automatically selected. You should be able to use this for videos of to about four hours in length, but this is highly dependent on the volume of dialogue.
Best thought of as a very simple starting point for configuring a diy extension of your own. I actually use this on a regular basis now! Its nice for just getting around ads and not suffering through long youtube videos sent by well-meaning friends. Would love to see how other people configure this to be even better. Fork away!
Seems like... there are lots of opportunities these days to clear up what open source means?
This extension allows me to "ask" the model to perform a task on the video content: - "Give me the materials list" (for a diy video) - "What was the recommended book?" (for a 2+ hour podcast where they made a reference I can't find again easily) - "Extract the recommended protocol" (for 3+ hour health videos) - "Provide a counter argument" (for when I'm getting bored...)
Big plus is that you DO NOT need to wait for the ad to play through. I can just navigate to the video and send in a query without having to watch any ads.
Youtube transcripts are pretty rough. At first, I used Whisper to create a better transcript. But my primary use is to ask something of the youtube video - I found that slinging the so-so transcript along with my task was totally fine. Really simple project: Chrome extension in just html, css, and js. FastAPI server for the openai endpoint. Server function does a quick tokenization on the transcript to determine if I need to use the gpt4 model for the 128k context window or if the gptt3.5 16k context window is okay.
Naturally, here is a short youtube demo of the extension: https://www.youtube.com/watch?v=M1zq9NKIcbw&t=54s
Have you thought about spinning this together as a Chrome extension?
Remote: Open to remote, hybrid, or in-house
Willing to relocate: Yes
Technologies: Python, Javascript, React, Tailwind, CSS, Figma, Astro, Firebase, Node.js, PostgreSQL, MongoDB, Supabase, Next.js, FastAPI, happy to learn about your stack!
Résumé/CV: https://www.linkedin.com/in/joseph-martinez-08174811/
Personal site: https://josephm.dev/
Github: https://github.com/josephrmartinez
Email: [email protected]
Hello! I'm a new software developer with experience building full-stack web applications and rapid prototypes. Recently built a social network to support positive habits. Currently working on full-stack apps with AI integrations. Non-software background: I ran a successful greenhouse farm for ten years and also gave workshops on empathetic communication (to clients such as wikimedia). Entrepreneurial but also humble, productive alone and on a team, passionate person looking for entry-level position.
I've just started learning to code this past year. nineideas.net is my first complete full-stack app. I followed the MDN docs and the Odin Project for most of my learning, so this is a classic MERN app.The point of this app was to create something to replace passive/compulsive information consumption (HakerNews, Reddit, various newsletters) with something more constructive. I'm open to any...
I'm trying to develop a habit of writing ~750 words each day and then taking one of these 'drafts' each week to edit into a blog post. I've found this is a good balance.
The app is super simple. It just encourages you to write ten ideas on a topic. You can either come up with the topic or borrow a pre-existing topic from someone else on the site. When you finish coming up with ten ideas on that topic, you can see all the other ideas that everyone else has come up with on that topic.
So instead of just scrolling and never contributing anything actively, I have to at least think about the topic and work on it a bit if I want to see what other people are thinking as well.
I can select a topic prompt "10 ideas for fun weekend DIY projects that cost less than $300." I write my ten ideas and then I see that 6 other people have also written ideas. Bam! Now I can see 60 more ideas for weekend DIY projects.
I've put together a very rough mock up using Anvil here: https://ten-ideas.anvil.app/ (Anvil lets you build web apps using nothing but python).
I'd love some feedback on what to do next for: - finishing the project on Anvil - finding about ten initial users to give feedback - sensible ways to put this out in the world
I just started learning to code a few months ago. My profession is farming, this is just a fun, non-commercial side project to learn and encourage positive online habits. Any pointers would be massively appreciated.