Bytebase App Lets You Catalog Your Thoughts Like an Engineer

Illustration for article titled A New App Lets You Catalog Your Thoughts Like an Engineer

Screenshot: ByteBase

Bytebase, a new app by two Columbia University software engineers, promises to let you store your snippets, thoughts, and notes in a way that is instantly searchable and automatically organized.

Created by ex-Twilio engineer Cara Borenstein and ex-Nextdoor engineer Theo Marin, the barebones web app is sort of like Evernote amped up on the drug from Limitless.

Explaining how the app works is actually kind of difficult. Like any other note-taking system, you enter data and paste in code, text, or whatever you want to save. You can share it with others and create separate notebooks for each project. More important, each note can act as a link to another note, allowing you to nest information within other pieces of information. To use it, you simply paste in code snippets and text into the “No Man’s Land” area and then move it into separate projects later. You can also make outlines and to-do lists in the app.

Each one of those lines can act as another separate note.

Each one of those lines can act as another separate note.
Screenshot: ByteBase

A feed lets you send notes, called bytes, to co-workers within Bytebase. Because the co-founders are coders, they’ve also added clever keyboard shortcuts that will be familiar to Vim and Emacs users. You can also add large text chunks called BigBytes.

“As a software engineer, it was challenging to get the information I needed to do my job. The information was supposed to be on the wiki, but it wasn’t,” said Borenstein. “So we went back to the drawing board and invested in more user research. We knew that people weren’t really using wikis to their potential, but they were collaborating. We wanted to figure out what it was that they were already doing and see if

New Brain-Computer Interface Transforms Thoughts to Images

TheDigitalArtist/Pixabay

Source: TheDigitalArtist/Pixabay

Achieving the next level of brain-computer interface (BCI) advancement, researchers at the University of Helsinki used artificial intelligence (AI) to create a system that uses signals from the brain to generate novel images of what the user is thinking and published the results earlier this month in Scientific Reports.

“To the best of our knowledge, this is the first study to use neural activity to adapt a generative computer model and produce new information matching a human operator’s intention,” wrote the Finnish team of researchers.

The brain-computer interface industry holds the promise of innovating future neuroprosthetic medical and health care treatments. Examples of BCI companies led by pioneering entrepreneurs include Bryan Johnson’s Kernel and Elon Musk’s Neuralink.  

Studies to date on brain-computer interfaces have demonstrated the ability to execute mostly limited, pre-established actions such as two-dimensional cursor movement on a computer screen or typing a specific letter of the alphabet. The typical solution uses a computer system to interpret brain-signals linked with stimuli to model mental states. Seeking to create a more flexible, adaptable system, the researchers created an artificial system that can imagine and output what a person is visualizing based on brain signals. The researchers report that their neuroadaptive generative modeling approach is “a new paradigm that may strongly impact experimental psychology and cognitive neuroscience.”

The University of Helsinki researchers used a combination of a generative neural network with neuroadaptive brain interfacing to create a new BCI paradigm. Neuroadaptive generative modeling is the estimation of a person’s intentions via adapting a generative model to neural activity. To expand capabilities and not be limited to pre-defined categories, the researchers based the solution on a generative adversarial network (GAN) to generate novel information from a latent representation of an input space.

Generative adversarial networks are a relatively recent