We Don't Know What We're Doing

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Instead, the prospect is of Caerphilly mountain, which – in a quiet masterstroke of quarter-life crisis – he finds brings the words “hump and bald and tired” to mind.

Review: We Don’t Know What We’re Doing, by Thomas Morris

To study how the neural network encoded information, they adopted a technique that Bengio and Guillaume Alain, also at the University of Montreal, devised in 2016. The latter is the setting for a date between pensioners in the sweetly entertaining Strange Traffic, while in Castle View, a starting-to-go-to-seed twentysomething reflects on his pristine new estate house, which comes sans advertised vista. But they’re also comfortable, dependable and unshowy – and just as capable as anywhere else of producing moments of grace. Morris takes risks with his humour: jokes about paedophilia are crass but appropriate to character and setting. Combining GPT-4 [the latest version of the LLM that powers ChatGPT] with various plug-ins might be a route toward a humanlike specialization of function,” says M.

Ordinary life is all we have, these stories tell us, and it’s tedious and glorious and meagre and marvellous – and worth celebrating. They're indirect evidence that we are probably not that far off from AGI,” Goertzel said in March at a conference on deep learning at Florida Atlantic University. In Clap Hands the gruelling life as a single mother of Amy, a nursery worker, is poignantly depicted. It's a different sort of learning that wasn't really understood to exist before,” says Ben Goertzel, founder of AI company SingularityNET. Contrasting nicely with the anxieties of the youngsters, 78-year-old Jimmy, in Strange Traffic, is on the lookout for his third wife: "He was in good enough shape to last another ten years, and where was the point in going lonely all that time?

We Don’t Know What We’re Doing by Thomas Morris review

Using a probe, they found that the networks encoded within themselves variables corresponding to “chest” and “you,” each with the property of possessing a key or not, and updated these variables sentence by sentence. You can take the kids out of Caerphilly, in other words, but Caerphilly will do its best to pull them back in. In the case of the AI, the probe showed that its “neural activity” matched the representation of an Othello game board, albeit in a convoluted form. As editor of the Stinging Fly magazine and last year's Dubliners 100 anthology (Tramp Press), Morris may be known to Irish readers already. He conjures Caerphilly beautifully, using his characters’ various viewpoints to create an overlapping montage of its streets and vistas and the crumbling castle at its centre, and subtly drawing attention to its limits through his use of definite articles.Some of these systems' abilities go far beyond what they were trained to do—and even their inventors are baffled as to why. Another type of in-context learning happens via “chain of thought” prompting, which means asking the network to spell out each step of its reasoning—a tactic that makes it do better at logic or arithmetic problems requiring multiple steps. They are mostly young – teenagers to twentysomethings – and their listlessness says much about a society that has lost direction. No one yet knows how ChatGPT and its artificial-intelligence cousins will transform the world, and one reason is that no one really knows what goes on inside them. So it came as a surprise that LLMs do, in fact, learn from their users' prompts—an ability known as in-context learning.

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OpenAI has not divulged the details of how it designed and trained GPT-4, in part because it is locked in competition with Google and other companies—not to mention other countries. They exist in the popular imagination as drab, deindustrialised zones of dead-end jobs and boarded-up high streets, where the schools are on the slide and the young people either get out or give up.

The tonic comes in large doses in Thomas Morris's debut short-story collection, We Don't Know What We're Doing, set primarily in the Welsh town of Caerphilly. They do not, like most of the characters in this fresh and at times brilliant collection, know what they are doing. As he capers around Caerphilly with his friends, getting arrested on drunken nights out, a brutally honest depiction of the ebb and flow of young romance underpins the antics. It sets up an autocorrection algorithm, which chooses the most likely word to complete a passage based on laborious statistical analysis of hundreds of gigabytes of Internet text.