No one doubts that our future will feature more automation than our past or present. The question is how we get from here to there, and how we do so in a way that is good for humanity. Sometimes it seems the most direct route is to automate wherever possible, and to keep iterating until we get it right. Here's why that would be a mistake: imperfect automation is not a first step toward perfect automation, anymore than jumping halfway across a canyon is a first step toward jumping the full distance. Recognizing that the rim is out of reach, we may find better alternatives to leaping--for example, building a bridge, hiking the trail, or driving around the perimeter. This is exactly where we are with artificial intelligence. AI is not yet ready to jump the canyon, and it probably won't be in a meaningful sense for most of the next decade. Rather than asking AI to hurl itself over the abyss while hoping for the best, we should instead use AI's extraordinary and improving capabilities to build bridges.

The boss of the firm behind ChatGPT and the UK technology secretary discussed a multibillion-pound deal to give the entire country premium access to the AI tool, the Guardian has learned. Sam Altman, a co-founder of OpenAI, talked to Peter Kyle about a potential agreement to give UK residents access to its advanced product. According to two sources with direct knowledge of the meeting, the idea was floated as part of a broader discussion in San Francisco about opportunities for collaboration between OpenAI and the UK. Those close to the discussion say Kyle never really took the idea seriously, not least because it could have cost as much as 2bn. OpenAI offers free and subscription versions of ChatGPT.

Throughout the unprecedented bombing campaign that has defined Israel's genocidal war on Gaza, Palestinians there have lived with a near constant, inescapable sound of drones. It's a sound that signals death could be close. Hind Hassan tracks how the Israeli military has dramatically increased its use of drones and artificial intelligence (AI) to surveil, track and kill Palestinians. In Gaza, this technology has produced a kill rate higher than any other 21st-century conflict. But its implications are far greater – creating the potential for armies of the future to inflict maximum destruction on their targets with minimal risk to themselves.

The Metropolitan police's claims that their use of live facial recognition is bias-free are not substantiated by the report they cite to support their case, a leading expert on the technology has said. The Met is planning its biggest and most high profile use of LFR yet this bank holiday weekend at Notting Hill carnival in west London. The Guardian understands it will be deployed at two sites on the approaches to the carnival, with the force insisting on its use despite the Equality and Human Rights Commission saying police use of LFR is unlawful. The new claims come from Prof Pete Fussey, who led the only independent academic review of police use of facial recognition, is a former reviewer of LFR for the Met from 2018-19, and currently advises other forces in the UK and abroad on its use. The Met says it has reformed its use of LFR after a 2023 study it commissioned from the National Physical Laboratory (NPL) and it is now, in effect, bias-free. But Fussey said: "The claims the Met are making about the absence of bias from the NPL report are not substantiated by the facts in that report."

In contrast, we show that the computation of one PI-explanation for an NBC can be achieved in log-linear time, and that the same result also applies to the more general class of linear classifiers. Furthermore, we show that the enumeration of PI-explanations can be obtained with polynomial delay.