Fixed this, thank you.
HN user
febin
twitter.com/@heyfebin https://www.linkedin.com/in/febinjohnjames/
Author of the article here.
No, I haven't asked anyone to upvote or comment. It was posted 2-3 days ago, there were no upvotes. And I was feeling concerned. (I am doing this full time and getting on top of HN for my own work was a dream). I had written articles on bevy and also posted on HN (in last 6 months). But they hardly got any traction on HN.
Not sure what happened today, I saw traffic from HN and was surprised to see this on #8.
I also noticed few comments looked LLM generated (they got deleted), but I am not sure why someone would do it, I mean the incentive.
Hello HN,
Most Rust resources dump theory first. This book flips that: Fun First, Rust Second. You start by moving characters, then add procedural world generation, particle effects, A* pathfinding, and combat systems as you progress.
You master ECS architecture and Rust fundamentals by creating a complete game, not reading theory.
Chapters 1-7 are available for free online:
Chapter 1: Let There Be a Player: Setting up a Bevy project, understanding ECS basics, and implementing player movement.
Chapter 2: Let There Be a World: Creating procedural tilemaps and world generation.
Chapter 3: Let The Data Flow: Building a data-driven character system using RON configuration files and generic animation logic.
Chapter 4: Let There Be Collisions: Implementing spatial queries and collision detection.
Chapter 5: Let There Be Pickups: Building an inventory system, UI, and understanding the borrow checker through practical game patterns.
Chapter 6: Let There Be Particles: Adding visual polish and particle effects to bring the game world to life.
Chapter 7: Let There Be Enemies: Implementing enemy AI behavior and A* pathfinding.
Source Code https://github.com/jamesfebin/ImpatientProgrammerBevyRust
I've vibecoded a Rust port of Pocket TTS using candle.
https://github.com/jamesfebin/pocket-tts-candle
The port supports:
- Native compilation with zero Python runtime dependency
- Streaming inference
- Metal acceleration for macOS
- Voice cloning (with the mimi feature)
Note: This was vibecoded (AI-assisted), but features were manually tested.
Teaching, Rust + Bevy + AI through 2d game development. (AI part is still work in progress)
Working on making Rust accessible to all with engaging content
https://aibodh.com/posts/bevy-rust-game-development-chapter-...
https://aibodh.com/posts/bevy-rust-game-development-chapter-...
https://aibodh.com/posts/bevy-rust-game-development-chapter-...
I’m writing a beginner-friendly 2D game development series with Rust and Bevy.
The first two posts are live: 1. Let There Be a Player — player movement and camera control (https://aibodh.com/posts/bevy-rust-game-development-chapter-...) 2. Let There Be a World — procedural world generation using Wave Function Collapse (https://aibodh.com/posts/bevy-rust-game-development-chapter-...)
Next up: adding physics, collisions, and interaction to make the world feel alive.
From there it’ll grow into combat, UI, sound, polish, and AI-driven NPCs.
I am working on a book that teaches rust and bevy by building a video game from scratch, hoping to explore AI NPCs as well.
First chapter already out. https://aibodh.com/posts/bevy-rust-game-development-chapter-...
Location: Bangalore
Remote : Yes
Willing to relocate: Yes (if mutual goals align)
Technologies: Rust, SurrealDB, NodeJS, AWS, Azure, Python, PostgreSQL, MongoDB, Agents SDK, Vercel SDK, A2A Protocol, LightRAG, Qdrant (Love tinkering with emerging technologies).
Résumé/CV: http://linkedin.com/in/febinjohnjames/
Email: febinjohnjames@gmail.com
If you are looking for someone to tinker around with your developer product and come up with innovative possibilities and use cases and communicate them, I would love to work with you. (Part time preferred)
I have been in the SaaS space for the last 12 years (B2B SaaS - 6 years). Though I am an engineer at heart, I have worked on building different departments at Tars(HelloTars) for the past (5 years, 11 months), building the engineering team, building the design team (2 years), leading partnership efforts (1 year), and also building the marketing team (1 year). Presently, I have been tinkering around with novel approaches in Reasoning AI (built on top of the LLM layer) and have a different take on the approach than how most folks are building it.
I would love to share learnings and understand your priority problems even if you are not interested in immediate hiring.
Animation of Flow (Blender Conference 2024) https://www.youtube.com/watch?v=fxz6p-QATfs
I see many are offended, but I am genuinely asking a question.
I want to understand does this mean it's ethical for anyone to create a research AI tool that will go through arXiv and related GitHub repo and use it to solve problems, implement ideas like cursor.
The creators are aware that a human is using this, can we say the same for AI, does it have their consent?
Is this "deep research" tool exploiting open knowledge creators, using their work without compensation?
The bill only restricts AI technology transfers to China, not the publication of public AI research.
Here's a google collab notebook built from this. It takes ~2 hours on A100 GPU if you have collab pro. Might work on free account as well.
https://colab.research.google.com/drive/1dklqzK8TDPfbPbyHrk3...
Research Paper https://arxiv.org/pdf/2405.19040
Enjoy
let button = document.querySelector('.main-btn'); document.querySelector('.main-btn'); if (button) { let clickCount = 0; const interval = setInterval(() => { button.click(); clickCount++; if (clickCount >= 10000000) { clearInterval(interval); console.log('Clicked 1000 times!'); } }, 10); // Adjust the interval (10ms) if necessary } else { console.log('Button not found!'); }
MCP is a protocol for tool usage, where as KAG is for knowledge representation and information retrieval.
Build a tool on top of the LLM layer for a specific use case. That'll get you up to speed. You haven't missed much.
Assume you are the author, I found your website is such a treasure. I couldn't believe your website wasn't listed on HN before. Next time please post on HN when you write.
https://meetfebin.com/apps/filmflow Uses GPT for visualizing and analyzing the emotional pulse of films.
Loved your previous book, will the new book "Practical Math for Programmers" will be released this year?
Somethings that helped me.
1. I realised the hard way that you can't focus on too many things at the same time.
2. Ruthlessly cutting down pursuits to one thing helps drive results.
3. Focus on areas you have circle of competence in.
4. I struggle with abstract ideas, and jump to projects without thinking the details, scoping abstract ideas and writing down concrete POA helps in completing things.
5. Working hard on staying loyal to my resolutions. I took a resolution last month to write a book on rust for beginners. I constantly hold this thought every day in my head. It helps a lot in making progress and saying no to distractions.
Let's take a reel trending on Instagram, even though same dance moves is copied countless times, it still gets views.
Prompt Engineering if utilised by artists who knows how to steal, they can deceive people that generated output is original.
A social network that can streamline these into a simple processes can massively onboard new artists who can create art with drastically less efforts.
1. Chat GPT3 or Similar Tech Enabled Personalised Social Engineering Attacks From Stolen Data.
2. A new social network will rise that will have an explosion of reels made from Stable Diffusion tech.
3. Apple creating a dedicated program to encourage developers to build apps leverage M1/M2s GPU Capabilities.
4. Reserve Bank of India creating a CDBC enabled savings account program to allow citizens to hold money without intermediary banks.
Thank you, I will try to take this up. What would be the best way to reach out to you?
Thank you for your efforts. I came across your paper/code and posted it here. I was looking to find a technique to cost optimise transformer based question and answering. Presently I am using CPU and getting a GPU is too costly on AWS.
Since I use high level code I don't understand the maths completely. However, I was wondering if your techniques can be beneficial on CPUs?
If I were to use this to improve transformer based architecture what should be my approach?
I have been through this and these are things that helped me improve.
1. Show up
Make sure you show up instead of avoiding people and events. Initially it can be difficult. You may be worried if you would mess up the conversation. You might be anxious you would run out of words to talk to. And it might turn to be a little embarrassing, that's alright. Doing more and more of those interactions kills your inner fear. Getting past your fear is the first step.
2. Observe & Listen
Observe how other people talk. If you like the way someone approaches others, copy it. Imitate and see how it works out. Be observant on how others feel while you talk. Are they bored? Are they eager to talk more? Are they trying to move conversation to some other topic? Usually shy people are within their head too much they don't notice the environment and react to it.
3. Find something common
I connect with a person by finding something in common between me and that person. It could be politics, religion, engineering, events, etc etc. Find things you both care about, conversation will flow naturally.
4. Give Compliments
If you like something about a person, give them compliment. Tell them details of what you loved the most. Be specific.
It would take time, through multiple iterations, you will improve :)
Best wishes, I am confident you will be successful.
Most people only see the AI/ML aspects or the ability to respond like human. But what's adding value is the chatbot's interface. Working for a chatbot company that hit $1M revenue I can say the chatbot interface solves a good problem.
There's a good chunk of people who are stressed in having to be comfortable with vide variety of website interfaces. For my dad who's over 60 years struggles with the government's interface to avail the pension scheme.
Chatbot or conversational interfaces have a repeating pattern. People are used to conversational interfaces because of SMS, iMessage, WhatsApp, FB, etc etc. Providing an experience through a chatbot interface reduces the learning curve for the end-user. You are presenting tiny chunk of information and even collecting one thing at a time. It's drastically less overwhelming.
It's not just for 60 years, I have friends who are around my age late 20s who finds it difficult to navigate through websites that have many offerings (Banks, Govt Services, etc)
Cheats
https://princejs.com/?level=2&health=3&time=59&strength=100&...
You can change the parameters here.