The Future Is Coming: Where the X Window System Should Go
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The X Window System was developed as a desktop window system, in a large (for its time) campus scale network environment. In the last few years, it has escaped the desktop and appeared in laptop, handheld and other mobile network devices. X from its inception has been a network transparent window system, and should thrive in this environment. Mobility forces a set of issues to surface that were only partially foreseen in X’s design. For one reason or other, the hopes for the design were not entirely realized. Our original view of X’s use included highly mobile individuals (students moving between classes), and a hope, never generally realized for X, was the migration of applications between X servers. Toolkit implementers typically did not understand and share this poorly enunciated vision and were primarily driven by pressing immediate needs, and X’s design and implementation made migration or replication difficult to implement as an afterthought. As a result, migration (and replication) was seldom implemented, and early toolkits such as Xt made it very difficult. Emacs is about the only widespread application capable of both migration and replication, and it avoided using any toolkit. You should be able to travel between work and home or between systems running X at work and retrieve your running applications (with suitable authentication and authorization). You should be able to log out and “park” your applications somewhere until you retrieve them later, either on the same display, or somewhere else. You should be able to migrate your application’s display from a handheld to a wall projector (for example, your presentation), and back again. Applications should be able to easily survive the loss of the X server (most commonly caused by the loss of the underlying TCP connection, when running remotely). There are challenges not fully foreseen: applications must be able to adapt between highly variable display architectures. Changes to the X infrastructure in recent work make this retrofit into modern toolkits appear feasible, enabling a much more dynamic view of applications. Also, applications must be able to adapt between very different resolution displays (more than an order of magnitude) and differing pointing devices. I cover the changes and infrastructure required to realize this vision, and hope to demonstrate a compelling part of this vision in action. This vision provides a much more compelling vision of what it means for applications to work in your network. With the advent of high speed metropolitan and wide area networks, and PDA’s with high speed wireless networks, this vision will provide a key element of the coming pervasive computing system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it