You know how it is: You bring them back. But still I was put in a state where I was entertaining that there might be something gravely wrong with me. I knew that the poem needed something that explicitly touched upon mortality. Which is funny, because I still had the hearing loss — I was still half-deaf in my left ear — but I also thought, this is my way of being a little bit removed from the plain sense of things, the world as it actually is.
It took a while, though. In part because rhythm does so much. I feel it in my arms and chest when something is really as I want it to be. I want to write poems that have a direct relationship, almost, to my own physicality. You get to the point in your evolution as a writer where it starts to come out that way.
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He just said there were two poems that were disrupting the development of the book. I resisted that at first, but then I realised he was right, took them out, and added three more. In terms of length, subject matter, mood…. Wait, now I remember: It must have been on my mind all along. I wonder why I suppressed it? After knowledge extinguished the last of the beautiful fires our worship had failed to prolong, we walked back home through pedestrian daylight, to a residence.
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A door without mystery, a room without theme. For the hour that we spend complacent at the window overlooking the garden,. To admit that what falls falls solitarily, lost in the permanent dusk of the particular.
That the mind that fear and disenchantment fatten. A disease of the will, the way. Their pasted feathers shake. I love that about you. I love that when I call you on the long drab days practicality. I say that when I fell you fell beside me and the concrete refused to apologize. That a sparrow sat for a spell on the windowsill today to communicate the new intelligence.
Reproduced with permission of the author. The New Intelligence by Timothy Donnelly. Interview by Dai George. TD At the same time all this was happening, I was taking these courses at Princeton, including one particular study a friend and I took with Craig Dworkin. TD That poem of his is one that I know well, and love, and have internalised, perhaps so greatly that I never saw the two poems as being in conversation. TD Well, I always think about Stevens.
TD Yeah, it totally sounds Stevensian, when I hear it said. DG A little bit obsessive? TD A little bit. DG Does that entail selfishness?
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DG A perfumed thing. TD A perfumed thing.
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TD Yeah, well, I can think of an exception, but maybe only one. DG Like seeing your headteacher off-duty… TD … down the beach or something! DG Can we talk about syntax? DG Of course, be honest. Is it just a textural thing? DG It can make a travesty of the world, when you try to represent it most plainly. This period of computer science was rooted in deductive reasoning: The key assumption here: The primary role of AI is to follow these encoded rules so that machines can reproduce the outcomes already mapped out by humans. Artificial Intelligence is a subset of human intelligence, a replica at best.
In the past 20 years, some significant infrastructural developments have emerged that allow for a fundamentally different type of AI. We now have access to large data sets from which to build statistical models internet , along with the infrastructure to support mass amounts of data cloud storage. Statistical correlation is based on implementing learning models for a computer to apply to large datasets.
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These statistical models are shaped by empirical performance and represent a correlation-driven representation of historical learnings. We can now assume that given the right datasets, modern AI classifiers can generate high-performing and predictive models without any dependency on the underlying principles that govern a problem. Data-driven AI can now be applied towards complex problem sets where humans have never been able to fully codify the solutions for an algorithm to mimic.
In some cases, the human-known solutions are too nuanced and complex to translate to code image recognition is one area: With modern machine learning and deep learning methods, a computer can build a high performance solution to a problem without exposing underlying principles or logic towards that solution. Artificial Intelligence is now on a diverging path from human intelligence. The modern statistical approach towards AI is a fundamental undoing of the way that we think about problems and what it means to solve a problem.
It is now as much about philosophical choices in the semantics of learning and knowing as it is about feature selection and classifier choice. As modern statistical correlation approaches continue to yield useful models of complex problems, it is important to realize that this is a new and drastically different type of intelligence than the one sought after by computer scientists in the s and s. This new type of intelligence does not necessarily map back to our own worldview and shed light on the problem at hand. Through our custom lead generation programs, we provide clients with an ongoing stream of leads that turn into sales opportunities and build databases.
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