Transcript: Keyboard shortcut to AI pipeline is quite interesting, potentially.
The speaker is discussing their work on building infrastructure for personal AI augmented search and the various applications that can be built on top of it. They are considering the possibility of demonstrating the capability through a social network and other potential ways of showcasing its functionality. They believe they can display several demos from the same piece of code, which could be interesting and informative.
The author discusses the need to group individual steps in composing pipelines and seeks advice on existing products from Jamie. They express the goal of improving the infrastructure for Glyph but acknowledges the current lack of resources. They emphasize focusing on the problem and making the execution of LLMs faster, and the ability to experiment with them quickly. Their ultimate aim is to understand human context and establish protocols between AI agents, while also streamlining the architecture and recording context.
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The article "The Bitter Lesson" shared by Raphael emphasizes the idea of relying on computation to achieve greater capabilities in artificial intelligence, rather than complex feature extraction methods. It underlines the notion that the accelerating pace of computation enables more significant advancements in AI. The possibility of tackling problems by increasing computational resources is highlighted, particularly in the context of contextual AI. The article suggests that models like Mamba, which employ state space techniques, may offer potential avenues for this approach.
The writer expresses enthusiasm for the potential of recent technological advancements, specifically with regard to enhancing individual engagement and benefit rather than corporate application. They believe in the potential of mobile devices to run large language models, ultimately changing how individuals interact with computers and information. They draw parallels between early computing and the current focus on corporate-oriented technology, expressing a preference for the democratization of such capabilities. The writer feels optimistic about the direction of technology and its potential for widespread value, despite current perceptions.
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.
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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.