Blog Theory: Feedback and Capture in the Circuits of Drive


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As best as we know from research, both readers of political blogs and political bloggers themselves are significantly more likely than non-readers and non-bloggers to participate actively in practical politics. This is not what Dean's arguments would suggest.

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It is true, as Dean briefly indicates in the conclusions, that far-Right movements can take advantage of the internet, too. But this points to a very different critique than the one she is making. If people are using the internet to engage in politics, whether left-wing or right-wing, this implies that they are not trapped in the circuits of drive in quite the ways that she suggests they are. At the very least, she would have to make an explicit case that these forms of more engaged and practical politics are themselves recursive traps. Perhaps unsurprisingly, the psychoanalytic theory that Dean employs is much better at explaining the micropolitics of blogging.

Blog Theory - E-bok - Dean Jodi Dean () | Bokus

Dean is a blogger herself, and her account of the relationship between the blogger and her or his audience is usually interesting, and sometimes fascinating. Her discussions of the problems of blogging to an imaginary audience, the construction of perhaps multiple fictional "selves", and the anxieties that are induced by the gaze of invisible outside readers are fruitful and engaging, especially when she leans on her own experience as a blogger eg, her story of having her assumptions about her readers undermined by an email from a neo-Nazi.

Blogging: How To Capture Attention With Creative Writing

Blogging - writing in a highly personal style for a largely impersonal audience - is a strikingly odd activity, when you look at it half-askance. Lurking within Dean's larger social argument is a more particular set of ideas about the complexities of mediated electronic communications from the individual's point of view. I hope that she draws them out further in subsequent work. By Jodi Dean Polity Press.


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ISBN and Published 16 July Get a month's unlimited access to THE content online. Just register and complete your career summary. Democracy and Other Neoliberal Fantasies is an impassioned call for the realization of a progressive left politics in the United States. Through an assessment of the ideologies underlying contemporary political culture, Jodi Dean takes the left to Du kanske gillar. Zizek's Politics Jodi Dean E-bok. Comrade Jodi Dean Inbunden. Ladda ned. There is no force in British politics that prioritises science and productivity. Share this: Tweet I spend a lot of time these days reading papers on prediction from different fields looking for connections between methods.

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Although his methods and data in the midth century were neither rigorous nor comprehensive, his insights about violent conflicts have endured. These facts place important constraints on our understanding of the underlying mechanisms that produce individual wars and periods of peace, and shed light on the persistent debate about trends in conflict…. Fifty years or more of relatively few large wars is thus entirely typical, given the empirical distribution of war sizes, and observing a long period of peace is not necessarily evidence of a changing likelihood for large wars [12, 13].

The results here are entirely consistent with other evidence of genuine changes in the international system, but they constrain the extent to which such changes could have genuinely impacted the global production of interstate wars…. The lower portion of the distribution is slightly more curved than expected for a simple power law, which suggests potential differences in the processes that generate wars above and below this threshold [7k deaths]. How can it be possible that the frequency and severity of interstate wars are so consistent with a stationary model, despite the enormous changes and obviously non-stationary dynamics in human population, in the number of recognized states, in commerce, communication, public health, and technology, and even in the modes of war itself?

The fact that the absolute number and sizes of wars are plausibly stable in the face of these changes is a profound mystery for which we have no explanation. Our results here indicate that the post-war efforts to reduce the likelihood of large inter- state wars have not yet changed the observed statistics enough to tell if they are working. The long peace pattern is sometimes described only in terms of peace among largely European powers, who fell into a peaceful configuration after the great violence for well understood reasons.

In parallel, however, conflicts in other parts of the world, most notably Africa, the Middle East, and Southeast Asia, have became more common, and these may have statistically balanced the books globally against the decrease in frequency in the West, and may even be causally dependent on the drivers of European war and then peace.

Why is the world so hard to predict? Nonlinearity and Bismarck.

How to humans adapt? The difference between science and political predictions. Feedback and emergent properties. Decentralised problem-solving in the immune system and ant colonies. The first computers. Punched cards. Optical data networks. In fact, severe misconceptions about several aspects of it are common among political leaders, educated people, and society at large. The new Bulletin of Atomic Scientists carries research showing how the supposedly most secure bio-labs have serious security problems and clearly present an unacceptable risk of causing a disastrous pandemic :.

Lab incidents that lead to undetected or unreported laboratory-acquired infections can lead to the release of a disease into the community outside the lab; lab workers with such infections will leave work carrying the pathogen with them. If the agent involved were a potential pandemic pathogen, such a community release could lead to a worldwide pandemic with many fatalities.

Whatever release probability the world is gambling with, it is clearly far too high a risk to human lives. Mammal-transmissible bird flu research poses a real danger of a worldwide pandemic that could kill human beings on a vast scale. Statistical data from two sources show that human error was the cause of, according to my research, 67 percent and Analyzing the likelihood of release from laboratories researching less virulent or transmissible pathogens therefore can serve as a reasonable surrogate for how potential pandemic pathogens are handled.

We are forced to deal with surrogate data because, thank goodness, there are little data on the release of potentially pandemic agents. Put another way, surrogate data allows us to determine with confidence the probability of release of a potentially pandemic pathogen into the community. How much lab-worker training might reduce human error and undetected or unreported laboratory acquired infections remains an open question. As Gryphon summarized in its findings, the three types of human error are skill-based errors involving motor skills involving little thought , rule-based errors in following instructions or set procedures accidentally or purposely , and knowledge-based errors stemming from a lack of knowledge or a wrong judgment call based on lack of experience.

This lack of data required finding suitable proxies for accidents in other fields. As a result, the samples with viable Ebola virus, instead of the samples with inactivated Ebola virus, were transferred out of a BSL-4 laboratory to a laboratory with a lower safety level for additional analysis. While no one contracted Ebola virus in this instance, the consequences could have been dire for the personnel involved as there are currently no approved treatments or vaccines for this virus.

The mammalian-airborne-transmissible, highly pathogenic avian influenza created in the Fouchier and Kawaoka labs should be able to infect humans through the air, and the viruses could be deadly. This estimate is from an average of two very different approaches…. For this research, it would take extraordinary benefits and significant risk reduction via extraordinary biosafety measures to correct such a massive overbalance of highly uncertain benefits to too-likely risks. There are experimental approaches that do not involve live mammalian-airborne-transmissible, highly pathogenic avian influenza which identify mutations involved in mammalian airborne transmission.

New institutions are needed that incentivise hard thinking about avoiding disasters…. As the piece above stresses and lessons from nuclear safety also show, getting the physical security right is only one hard problem.


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  8. Most security failings happen because of human actions that are not envisaged when designing systems. This is why Red Teams are so vital but they cannot solve the problem of broken political institutions. Also consider that there is a large network of Soviet scientists that participated in the covert Soviet bio-weapons program that the West was almost completely ignorant about until post Many of these people have scattered to places unknown with who knows what.

    Does the minister responsible? Have they ever had a meeting with experts about this? Is the responsible minister even aware of this very recent research above? Are they aware that these experiments are about to restart? Has this happened at all in the last 10 years? How bad were the results? Were any ministers told? Have any asked? Does any minister even know who is responsible for such things?

    Are officials of the calibre of those who routinely preside over procurement disasters in charge back in SW1 of the technical people working on such issues after all, some play senior roles in Brexit negotiations? A serious test will also reveal that there is no serious attempt to incentivise the stars of Whitehall to work on such important issues or involve extremely able people from outside Whitehall. Those drives will lead to anti-social and dangerous behaviour if not explicitly countered. The current computing infrastructure would be very vulnerable to unconstrained systems with these drives.

    The biggest problem for governments with new technologies is that the limiting factor on applying new technologies is not the technology but management and operational ideas which are extremely hard to change fast. This has been proved repeatedly: eg. These problems are directly relevant to the application of AI by militaries and intelligence services. Part of the reason lollapalooza results are possible is that almost nobody near the apex of power believes the paragraph above is true and they actively fight to stop people learning from extreme successes so there is gold lying on the ground waiting to be picked up for trivial costs.

    The most interesting aspect is not the technical details but the management approach and implications for Pentagon-style bureaucraties. Despite their rapid development and deployment, these technologies are getting strong praise from their military intelligence users. The team had only six members to start with, but its small size belied the significance of its charter… Project Maven is the first time the Defense Department has sought to deploy deep learning and neural networks, at the level of state-of-the-art commercial AI, in department operations in a combat theater….

    As its AI beachhead, the department chose Project Maven, which focuses on analysis of full-motion video data from tactical aerial drone platforms … These drone platforms and their full-motion video sensors play a major role in the conflict against ISIS across the globe. A single drone with these sensors produces many terabytes of data every day. Whenever a roadside bomb detonates in Iraq, the analysts can simply rewind the video feed to watch who planted it there, when they planted it, where they came from, and where they went.

    Unfortunately, most of the imagery analysis involves tedious work—people look at screens to count cars, individuals, or activities, and then type their counts into a PowerPoint presentation or Excel spreadsheet. Figuring out how to effectively engage the tech sector on a project basis is itself a remarkable achievement…. A traditional defense acquisition process lasts multiple years, with separate organizations defining the functions that acquisitions must perform, or handling technology development, production, or operational deployment.

    Each of these organizations must complete its activities before results are handed off to the next organization. When it comes to digital technologies, this approach often results in systems that perform poorly and are obsolete even before they are fielded.

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    Developers can tailor their solutions to end-user needs, and end users can prepare their organizations to make rapid and effective use of AI capabilities. Key activities in AI system development — labeling data, developing AI-computational infrastructure, developing and integrating neural net algorithms, and receiving user feedback — are all run iteratively and in parallel….

    Such large training data sets are needed for ensuring robust performance across the huge diversity of possible operating conditions, including different altitudes, density of tracked objects, image resolution, view angles, and so on. Throughout the Defense Department, every AI successor to Project Maven will need a strategy for acquiring and labeling a large training data set…. Moreover, the department must develop concepts of operations to effectively use AI capabilities—and train its military officers and warfighters in effective use of these capabilities….

    Next up will be migrating drone imagery analysis beyond the campaign to defeat ISIS and into other segments of the Defense Department that use drone imagery platforms.

    Blog Theory: Feedback and Capture in the Circuits of Drive Blog Theory: Feedback and Capture in the Circuits of Drive
    Blog Theory: Feedback and Capture in the Circuits of Drive Blog Theory: Feedback and Capture in the Circuits of Drive
    Blog Theory: Feedback and Capture in the Circuits of Drive Blog Theory: Feedback and Capture in the Circuits of Drive
    Blog Theory: Feedback and Capture in the Circuits of Drive Blog Theory: Feedback and Capture in the Circuits of Drive
    Blog Theory: Feedback and Capture in the Circuits of Drive Blog Theory: Feedback and Capture in the Circuits of Drive
    Blog Theory: Feedback and Capture in the Circuits of Drive Blog Theory: Feedback and Capture in the Circuits of Drive
    Blog Theory: Feedback and Capture in the Circuits of Drive Blog Theory: Feedback and Capture in the Circuits of Drive
    Blog Theory: Feedback and Capture in the Circuits of Drive Blog Theory: Feedback and Capture in the Circuits of Drive
    Blog Theory: Feedback and Capture in the Circuits of Drive

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