Max Woolf systematically tries to find out if it responds better to front-row Taylor Swift tickets or all-caps death threats # | Continue reading
The true dystopia of AI is that it can make Ugly Sonic look cool. | Continue reading
GPT-3 says the title for this post is very bad. | Continue reading
Perhaps AI can provide new and ~unique~ ideas for food content on the internet. | Continue reading
With Reddit data in BigQuery, quantifying all the hundreds of millions of Reddit submissions and comments is trivial. | Continue reading
Knowing how AI art is made is the key to making even better AI art. | Continue reading
At the least, AI-generated code is much more readable than the average human's. | Continue reading
In general, it takes little additional effort to make something unique with ggplot2, and the effort is well worth it. | Continue reading
GPT-3 is indeed a large step forward for AI text-generation, but there are very many caveats with the popular demos and use cases. | Continue reading
Here's how you too can create an AI bot to parody any Twitter user, even if you're not a coder! | Continue reading
Hopefully, these comments will answer whether Hacker News is experiencing a rise in quality, or if the complaints levied against HN are valid. | Continue reading
After downloading all 1,265,114 Hacker News submissions from the official Hacker News API, I gathered a few interesting statistics which show the true impact of Hacker News. | Continue reading
Box plots, when used correctly, can be a very fun way to visualize big data. | Continue reading
Can the CTRL model create the “fake news” OpenAI was concerned about? Let's put it to the test. | Continue reading
Thanks to gpt-2-simple and this Colaboratory Notebook, you can easily finetune GPT-2 on your own dataset! | Continue reading
Thanks to Keras, performing deep learning on a very large number of Reddit submissions is actually pretty easy. Performing it *well* is a different story. | Continue reading
Thanks to a few new synergies within GCP products, it's possible to get the cost of running a scheduled task down to less than a dollar a month. | Continue reading
Adding a touch of color and design can help make more compelling visualizations, thanks to ggplot2 syntax and chaining capabilities. | Continue reading
The relatively new R Notebooks improve the workflows of common data analysis in ways Jupyter Notebooks can't. | Continue reading
MOOCs and thought pieces overfit to a certain style of data science that is not robust to the vast uncertainties of the real world. | Continue reading
For IMDb's big-but-not-big data, you have to play with the data smartly, and both R and ggplot2 have neat tricks to do just that. | Continue reading
Train your own text-generating neural network and generate text whenever you want with just a few clicks! | Continue reading