Transcript: So I guess I'm just going to talk about my experience so far with Handy. Handy is the external keyboard plus program that I built. So I can still use the computer to some degree, even though I can't really type very well with my broken finger on my right hand. So far it's been pretty good. I think the biggest problem on the whole is I'm really not used to not writing. I'm very used to writing with my right hand, and not having access to that as a thinking tool has been very, very challenging for me. In addition to that, my body is really tweaked to the left right now because I'm doing so much with my left hand that I normally wouldn't. And as a result, it causes quite a bit of pain to be at a computer for any amount of time. And yeah, that's tricky. So those are the things that this program can't solve. However, what it can solve is pretty good. Using the computer in terms of being able to type stuff, really pretty great with Whisper. And also stuff like being able to rewrite entire blocks of code with my voice directly in VS Code is pretty wonderful. It's actually quite good. There's lots of small things where I just need to change one line, where it's like that.
Injured and limited to using his non-dominant hand, the author contemplates developing a single-hand input device for programming and other computer tasks. The idea involves a 3D-printed keycap with mechanical keyboard switches, featuring one to three buttons for functions like starting and stopping audio recording, and potentially using speech-to-text for input and commands. He considers the challenges of real-time speech recognition, keyword detection, and integrating the system with a local large language model for effective function calling and text input. The author reflects on the potential utility of this device for others with similar limitations and the feasibility of implementing it using Python and machine learning libraries. The speaker contemplates the idea of using both hands differently on a computer, where one hand performs simplified tasks, and the other is used for more complex manipulations. This concept is seen as an interesting topic for a video. They also mention the need to track their projects, specifically the zine project, which they plan to discuss further.
89.10% similar
The author, dealing with a right-hand injury, is exploring alternative input methods for computer use, particularly for programming. They are considering a custom-built device with mechanical keyboard switches and 3D printed keycaps, possibly featuring 1-3 buttons. One button could be used for audio recording, which could then be processed by speech-to-text software. The author is also contemplating the use of Whisper, a speech recognition model, for real-time command input and text entry, potentially implemented using Python and MLX for local, real-time processing. The challenge lies in distinguishing between commands and regular text input, which could be addressed with keyword detection and additional natural language processing. The goal is to create an input system that is more accessible for single-handed use and could benefit others with similar needs. The text reflects on the evolving use of hands in computer interactions, noting how one hand's task has become simpler (like minimal typing) while the other hand's role in manipulating the computer has become more significant, suggesting this could be an interesting topic for a video. The speaker then transitions to discussing the need to track projects, specifically mentioning the zine project.
The individual expresses amazement at their ability to accomplish a lot of work, noting that the primary limitation is their brain rather than the technology at their disposal. Despite the aid of AI, which allows them to perform their usual tasks, they feel mentally constrained. They often desire to write but find it challenging to do so with their left hand, considering it as a potential method to make progress.
84.86% similar
Using only the left hand has revealed how much the right hand is involved in thinking processes. Its unavailability makes articulating thoughts and doing logic more challenging, leading to quicker feelings of being overwhelmed.
Future improvements for the system include adding a foot pedal as a USB input device to reduce reliance on the right hand, which is currently unergonomic. The user finds it challenging to perform logical thinking and code-related tasks without using the right hand, possibly due to underutilization of a part of the brain. Other possibilities involve making the system more agential, such as allowing commands to be sent, observed, and modified in real-time. Visual interactions, like popping up and closing windows based on gaze detection, are also intriguing, especially if using Moondream for gaze tracking. The user is eager to test these enhancements with both hands.
76.33% similar
The author contemplates the process of converting an audio note into a transcript, then summarizing it on their "burrito" page. They express a desire to adjust the summarization voice to better represent themselves on the page. Recognizing that this feature may not have widespread appeal, the author nonetheless sees value in providing users with controls to personalize their "burrito." The concept of allowing users to fine-tune their experience is seen as an intriguing possibility.
76.12% similar
76.01% similar
The speaker is reflecting on their experience with making audio burrito posts, noting that it often requires multiple attempts to get into the correct mindset—similar to drafting written posts. They're grappling with the challenge of monologuing without a clear understanding of the audience, as they are aware that at least John and CJ will hear it, but uncertainty about the wider audience affects their ability to communicate effectively. This creates a 'contextual membrane shakiness' as the speaker finds the lack of audience boundaries difficult to navigate, which they recognize may vary among different people. The speaker concludes by deciding to end the current note and start a new one.