For wide adoption there needs to be a full market around electric vehicles: opportunities to build charging stations, sell home charging equipment and so on. Gas stations are possible since practically all cars use the same fuel, but also because they have very similar intake openings so that the pump can stop by itself.
Tesla by itself is too small to set standards, so this is good news. It also shows how disclaim in patents helps: the benefit from a greater and more active market exceeds the payoffs from discouraging competition.
Taxpayers should not be paying for someone's pet cause
... Proper action would be to mandate the government to use the best software for the task at hand ... Let the technical merits decide.
I'm sorry, but while technical merits should be paramount, they are not the only consideration. Public contracting is not an exact science, and it is entirely appropriate to have non-technical considerations tip the scales in close cases. So while Free Software should not be mandatory, legislating a preference for it makes perfect sense.
Furthermore, there are considerations beyond the needs of a specific project and tender. Free Software has an externality: when the government (as a customer) requests modifications and improvements (and pays for them to be created), everyone benefits. For example, when my university has Blackboard Inc fix a bug (or improve the software) only Blackboard captures the value (when they sell their software to the next customre). If we were using Moodle, every other Moodle user would automatically benefit. Had we opted for Moodle, we'd also benefit from fixes made by other universities.
Reading the paper, the most notable feature is that their algorithm is efficiency for constant characteristic, including the common case of fields of characteristic 2. It's also okay for the characteristic to grow somewhat with the size of the field, but not very fast.
This is not at all relevant to most implementations of DH, which use prime fields of large characteristic. For example, DSA depends on discrete log modulu a large prime p. In particular, I wouldn't worry about forward secrecy of current internet traffic.
If DNA sequencing means taxonomy is now straightforward, then it's good students are switching to other fields. The goal of science is to solve problems, not to ossify. In this case, while taxonomy may cease to be a significant research field, morphology (understanding the structure and evolution of plants and animals) is surely going to continue. The people doing it will simply not be called "taxonomists" anymore.
During the 80s and 90s there were different projects trying to determine the cosmological parameters (mass density, curvature, cosmological constant, Hubble constant, etc). Then WMAP was launched in 2001, and by 2006 (release of 3-year data) the previous techniques were obsolete. Do you think many students in 2001 started working on the old techniques? Should they have? But we haven't lost interest in the cosmological parameters.