Today I experimented with painting in 3D 🎨
I attached thousands of tiny brush strokes to the surfaces, each picking up the scene’s light and color.
I love how this technique gives a 3D scene a more artistic, hand-painted feel.
Built in @omma_ai with Three.js, WebGPU & TSL.
"First do it, then do it right, then do it better."
Just start. The journey to success often begins with a single step, but that first step can be the hardest to take. It's easy to get caught up in the fear of failure or the desire for perfection, but I hope this quote I first shared in 2013 can be a reminder of the importance of simply getting started as we go into 2024.
Just Start Somewhere
"Start slow if you have to. Start small if you have to. Start privately if you have to. Just start." - James Clear
Taking that first step doesn't require perfection or immediate mastery. The key is to overcome inertia and take action, as this action will lead to progress, learning, and (if you’re lucky and consistent) ultimately success.
When you start, you allow yourself the opportunity to grow, adapt, and move forward.
The Power of Starting
Beginning a new project or habit often feels daunting. According to psychologists, we tend to overestimate the pain of starting and underestimate our ability to persist.
However, studies show that "small starts" predict eventual success better than initial enthusiasm or early progress. This phenomenon is known as the fresh start effect - taking the first step energizes us and bolsters motivation.
So focus on starting without putting pressure on perfection. Progress and course corrections will follow.
First, Do It: Embrace the MVP Mindset
Doing it = get the simplest MVP out.
A Minimum Viable Product (MVP) represents the simplest version of a product or idea that allows you to test, gather feedback, and iterate.
By embracing this mindset (just get something done - it's OK if rough, a prototype, a draft), you focus on progress over perfection, understanding that getting something out into the world is far more valuable than waiting for the perfect moment.
Expand Your Comfort Zone
Venturing outside one's comfort zone can elicit fears of failure. Leaning into discomfort not only builds confidence and skills, but research shows it makes us more receptive to learning. Recognize that fear is often the mind's way of urging us to grow. Don't let it stop you from progressing.
Then, Do It Right: Refine and Correct
Doing it right = fix correctness issues.
Once you've taken that first step and put your MVP out into the world, it's time to refine and correct. This stage is about learning from feedback, identifying areas of improvement, and making adjustments accordingly.
It's a chance to iterate on your idea, ensuring that it meets the needs of your audience or customers while aligning with your vision.
Cultivate Curiosity and Resilience
Meeting new challenges with curiosity and resilience makes venturing outside our comfort zone more sustainable and enjoyable. Cultivate curiosity about growth opportunities and your capacity to rise to them. Set mini-challenges to incrementally expand your horizons.
When facing inevitable setbacks, avoid self-criticism and tap into resilience - the ability to recover, learn and continue progressing.
Self-compassion, adaptability and maintaining perspective are key here. With consistent effort, you build confidence in your ability to start, stumble, learn and work toward mastery.
Finally, Do It Better: Strive for Continuous Improvement
"Doing it better = iterate towards an ideal end-state (e.g., make it fast)."
The journey doesn't end with merely doing it right.
The final step is to continuously improve, striving for excellence and growth.
By iterating towards an ideal end-state, you demonstrate a commitment to progress, ensuring that your product, idea, or project remains relevant, innovative, and successful.
Set New Goalposts
As you improve, have a clear idea of when you are “done” or update your goalposts. Elite athletes turn small gains into competitive edges via the aggregation of marginal gains. Identify areas of potential improvement and set measurable stretch goals, from increasing efficiency to enhancing user delight.
Overcoming the Greatest Barrier to Progress
"The greatest barrier to progress is not lack of resources or talent, but fear of failure."
Recognizing that fear of failure is the most significant obstacle in the pursuit of success allows you to confront it head-on.
By acknowledging this fear, you can focus on taking that first step, knowing that once the ball starts rolling, it becomes much easier to keep it in motion.
Remember that starting is more than half the battle. Don't wait until you feel ready, because the perfect moment may never come.
The Bottom Line
Rather than striving for perfect execution, embrace the power of starting - put forth an MVP, soft launch an initiative, or set a milestone. Progress begets motivation. By simply starting, you open the door to growth and innovation. The rest will follow.
Embrace the power of starting and then iterating until you're happy.
Anthropic engineer (ex-Google):
"I spent 14 years at Google and built 24 reusable skills for agents that I can use with any AI model
So I stopped prompting my agents from scratch. The repo has already reached ~100K stars on GitHub"
In a 40-min masterclass, Addy Osmani showed exactly how he uses his skills (~100K stars on GitHub) for his 24/7 multi-agent system
His workflow and this workshop will replace 15 hours of other paid videos on agent engineering
Watch it today, copy the GitHub repo - then read below how to use these skills for graphs ↓
This is the closest thing to a real second brain I've found
It's called LLM Wiki
Normal RAG re-reads your documents from scratch every time you ask a question which is slow and it forgets everything the second it answers
This thing flips it
The LLM reads your docs once and builds a real wiki out of them with Interlinked pages and a knowledge graph with every page cites the source file it came from
Then it keeps that wiki current as you add more
It's based on Karpathy's LLM Wiki pattern, built into a full desktop app you run locally
What it does:
- Drop in PDFs, Word docs, EPUBs, web clips, whole folders
- The LLM analyzes first, then writes the wiki pages (much better than doing both at once)
- Builds a knowledge graph that surfaces unexpected connections between your notes
- Finds gaps in your knowledge and runs deep research to fill them
- Works as an Obsidian vault out of the box
- Ships an MCP server so Claude Code and Codex can query your wiki directly
It runs on any provider. OpenAI, Anthropic, Google, or fully local with Ollama
github.com/nashsu/llm_wiki
Stanford acaba de filtrar esta clase gratuita que explica cómo funcionan Claude y ChatGPT desde el interior
La mayoría desperdicia el 90% de su potencial
Stanford te lo enseña en 1 hora y 50 minutos
🔖 Guárdalo, te será muy útil
Anthropic just released a 37-minute guide on how to build AI agents that can automate an entire business.
It’s free, and it comes straight from the engineers who built Claude.
Agents that actually work, delegate tasks, and get things done on their own.
Save this post 🔖
I asked Astra to create a Catan game in three.js and it came out incredibly well.
I played it, and the animations make it so much fun. The instructions and info cards make the game easy to learn. It even has AI players and trading.
Astra used another game I had started building as a reference. The more games I build, the more skills and assets I have for the next one. It can remix the UI, 3D models, pages, and sounds instead of rebuilding everything.
Now I want to see how many other board games I can make from this foundation.
Fable 5.1 is nowhere near GPT Astra 6
My bro used GPT Astra 6 to cook this entire interactive experience in ~30 minutes, using only 4% of the weekly limit on the 20x plan
Here’s what it built:
- An interactive platform showing the history of Earth over billions of years
- A realistic 3D Earth using real imagery
- Dynamic lighting, perspective, atmosphere and motion
- Geological changes across the timeline, including continents, oceans, ice and molten terrain
- A timeline showing how humans spread across the planet
- No APIs
- Basically one simple prompt + /goal to keep iterating until it looked fire
Prompt in thread..
30 minutes & 4% of the weekly limit then One simple idea.
This is getting fucking ridiculous
What are we even supposed to call this now, vibe coding or just giving AI an idea?
GPT 6 Astra + Computer Use put this track together in GarageBand in about 18 minutes.
Make a video game soundtrack similar to Ori and the will of the wisps.
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