Internet-2 What is it and should you care?
Bibliographic record
Abstract
Speakers John Houlker, Neil James, Simon Riley A coalition of USA 170 universities as well as research networks in Canada, EU and Australia plus a few dozen corporations have been pooling their resources to build the Internet 2 framework, which researchers are now using to develop a variety of futuristic, high-bandwidth applications. Internet 2 is built on a foundation of several networks capable of carrying data at dizzying speeds using connections up to 3 gigabits per second. For example, research teams at Stanford University are using Internet 2 to develop a variety of long-distance applications: a robotic helicopter that can be remotely controlled by spoken commands, a system for transmitting three-dimensional models of brain activity to remote locations, several videoconferencing courses involving students on multiple continents, and tools to allow surgeons to collaborate on operations happening thousands of miles away. Other applications are in the works, some of them commercial. A start up company called Teleportec has developed a broadband conferencing system that produces the illusion of a three-dimensional hologram, so you can use the Net to project a ghostly image of yourself, Princess Leia-like, onto a specially equipped lectern. The governor of Texas, Rick Perry, recently used the system to address a crowd in Dallas without ever leaving his office in Austin. Teleportec's system (which costs $70,000) is data-intensive, requiring 384 to 768 kbps of bandwidth, the Texas governor's address last month was transmitted over the Internet 2 network. Will Internet 2 supersede the current Internet? Not really. The purpose of Internet 2 is somewhat like that of the space program: to produce lots of indirect benefits by funding primary research. So rather than actually building the next version of the Internet, Internet 2 researchers hope to develop technologies and techniques that can later be applied to the public network by private enterprise and the government. Using examples like Teleportec the results will be truly amazing. There is a growing concern that New Zealand universities and research community are falling behind their international counterparts in access to high bandwidth data services that are needed to support Internet 2 One suggestion is for the establishment of a National Research and Education networking body which would collaborate with AARNet (the Australian Research and Education network) in the purchase of international data capacity in order to fully participate in the opportunities from Internet 2. This new body could represent New Zealand in international forums on research and education networking, enabling New Zealand to take place, in a peer relationship, in international initiatives such as the US Internet2 project. The lack of progress even at the discussion level here in New Zealand regarding the opportunities presented by Internet 2 when compared to Australia and Canada for example who have recently completed the first phase of Internet 2 networks does not bode well for the future, particularly in the context of progressing the notion of a "knowledge economy ". Limitations are for the most part not technical but rather the lack of the imagination.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.116 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".