adilmoujahid

Over the holidays I built MakersHub.dev – a community platform for developers and creators building with AI tools. Whether you're a complete beginner exploring AI coding for the first time or an experienced professional showcasing advanced work, the goal is to have something useful: learning guides, project showcases, discussions, a tools directory, and news. Still early but actively building it out. https://makershub.dev

I just purchased 6 months of Pro access. Good luck with this project! It has good potential.

Great idea! How did you decide on the pricing?

I launched a Japanese Kanji Learning App (KanjiMaster.ai) last month, and I chose a subscription instead of a one-time payment.

You can learn basic conversation without reading, but it only gets you so far. Japanese has tons of similar-sounding words, and without kanji, it's hard to build a deep vocabulary or follow meaningful conversations. Reading reinforces understanding—and kanji actually makes it easier to remember words once you get used to it.

I've been working on a unique project that merges the domains of generative art, pixel art, and LEGO construction, and I'm thrilled to finally share it with you. The project involves using the PICO-8 engine to generate random, abstract designs, which are then transformed into tangible LEGO constructions.

Each LEGO art piece is a translation of a digital pattern into a physical form, showcasing the fascinating possibilities in this intersection of generative and LEGO art.

You can delve into the full details of the project, including the algorithm used for generating the designs and the process of building the LEGO art, in my blog post: [Link to the article]

Any feedback or suggestions for future projects are greatly appreciated!

I personally found utilitarianism and kantianism very helpful schools of philosophy to think about the implication of AI. In short, Utilitarianism promotes decisions that benefits the greatest number of people. Whereas, kantianism focuses on the idea that people should be always treated with dignity and respect. Michael Sandel's book "Justice" is a great introduction to the topic. [1] https://www.amazon.com/Justice-Whats-Right-Thing-Do/dp/03745...

It seems that the Alpnisit with green dial will back in production early 2020 with a new movement. [1]

[1] https://www.seiyajapan.com/blogs/news/the-alpinist-will-make...

Is it a single model or stacking of multiple models?

Manufacturing output in the US has more than doubled in the last 3 decades, but the number of jobs in the sector has shrunk from 17.5M to 12.4M [1]

The main reason for this is automation.

I think the right question to ask is how to make the productivity from automation benefit more the workers?

[1] https://www.pewresearch.org/fact-tank/2017/07/25/most-americ...

Also make sure to check out Reina Sofia museum. It's a walking distance from the Prado and it has master pieces from Picasso and Dali

I think that this a question of basic computer literacy, and not expertise in technology.

[1] provides a good answer to this question.

"The outcome becomes more predictable over time.

This is because the payoff depends on the accurate prediction of an outcome of an event. Therefore, people will put in more effort to come to the most accurate conclusion.

As a larger number of people do more market research to come to the most likely conclusion, the predicted outcome will lean more favorable to one side.

If you place a bet on a coin flip, the outcome will always be 50% heads, 50% tails. There are no external market conditions that will influence the outcome. Luck plays a major role, and this is called gambling.

But prediction markets rely on the collective wisdom held by a group of people on the probability of a future event materializing."

[1] https://cointelegraph.com/explained/prediction-markets-expla...

One use case could be a data visualization similar to what I built in [1]

To build the visualization in [1], I used 3 datasets in csv format from a kaggle competition [2], and I implemented the charts using dc.js and Leaflet.js. The charts were interactive and I could managed to filter the data even in the map.

The largest dataset was 284 MB, which was still ok and didn't crash my browser.

There were 2 drawbacks to my approach: 1- All the data was in the browser. If my data was bigger (~1GB), then it would crash my browser. 2- If I deploy the visualization to a server (for example AWS), then it would make the rendering extremely slowly as it has to download all the data to the browser...

[1] http://adilmoujahid.com/posts/2016/08/interactive-data-visua...

[2] https://www.kaggle.com/c/talkingdata-mobile-user-demographic...

Is there a plan to create a version that generate the graphs and manage all the filtering on the server side instead of having all the data in the browser?

This will be very helpful for cases that uses large datasets...

I built visualization using dc.js, and working with large datasets was the biggest pain point for me.

http://adilmoujahid.com/posts/2016/08/interactive-data-visua...

I got that, but the previous comment argues that the heterogeneity of the European market is the main reason for the difficulty of launching successful companies rather than European lawmakers. This argument doesn't explain the success of American companies in Europe.

How can you explain that most Europeans use US services: Amazon, Ebay, Facebook, Google, Dropbox, AirBnB, Uber?

I would love to read a tutorial about implementing a relational database from scratch. Some people like to learn from the building blocks and others prefer to focus on high level applications.

@icebraining Author here. Thanks for the comments. I will add the copyright notice. Changes also will be MIT :)

Enjoyed the first iteration of the course, will definetly check this one!

Thanks for the feedback! I will fix it.

Schelling segregation model is included in Netlogo. http://ccl.northwestern.edu/netlogo/models/Segregation

Personally, I prefer to code in Python. The logic was straightforward to code, and Python has different visualisation libraries such as Matplotlib that makes building custom graphs very simple.

Tax evasion behaviour from agent based models sounds very interesting!!