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In 2005, the #US Congress laid out a clear mandate: the nation should be able to detect, track, catalog, and characterize no less than 90 percent of all #NEO at least 140 meters 📏 across.

As of today, we have identified less than half and characterized only a small percentage 📊 of those possible threats. Even if we did have a full census, we do not have the #capabilities to rapidly respond to an Earth-intersecting #asteroid ☄️arstechnica.com/science/2024/0

Ars Technica · Outdoing the dinosaurs: What we can do if we spot a threatening asteroidBy Paul Sutter

Johan Cruyff on the limits of data:

‘What I know for certain is that the conclusions I would draw from experience are different from the ones based only on figures. Because if Lionel Messi scores three times out of every ten attempts, he might be criticized by someone who sees only the statistics for being just 30 per cent effective. I’d say: just copy him and see if you can get up to that level. It’s practically impossible.’

#quote#data#metrics

Understanding Digital Inequality: A Theoretical Kaleidoscope

Just published with @Carolinekuhn, Su-Ming Khoo, Warren Lilley, Swati Bute, Aisling Crean, Sandra Abegglen, Tom Burns, Sandra Sinfield, Petar Jandrić, Jeremy Knox & Alison MacKenzie

link.springer.com/article/10.1

SpringerLinkUnderstanding Digital Inequality: A Theoretical Kaleidoscope - Postdigital Science and EducationThe pandemic affected more than 1.5 billion students and youth, and the most vulnerable learners were hit hardest, making digital inequality in educational settings impossible to overlook. Given this reality, we, all educators, came together to find ways to understand and address some of these inequalities. As a product of this collaboration, we propose a methodological toolkit: a theoretical kaleidoscope to examine and critique the constitutive elements and dimensions of digital inequalities. We argue that such a tool is helpful when a critical attitude to examine ‘the ideology of digitalism’, its concomitant inequalities, and the huge losses it entails for human flourishing seems urgent. In the paper, we describe different theoretical approaches that can be used for the kaleidoscope. We give relevant examples of each theory. We argue that the postdigital does not mean that the digital is over, rather that it has mutated into new power structures that are less evident but no less insidious as they continue to govern socio-technical infrastructures, geopolitics, and markets. In this sense, it is vital to find tools that allow us to shed light on such invisible and pervasive power structures and the consequences in the daily lives of so many.

As part of pre-release safety testing for its new #GPT4 #AI model, launched Tuesday, #OpenAI allowed an AI testing group to assess the potential #risks of the model's #emergent #capabilities—including #PowerSeeking #behavior #SelfReplication, and #SelfImprovement. While the testing group found that GPT-4 was "ineffective at the autonomous replication task," the nature of the experiments raises eye-opening questions about the safety of #future #AISystems.arstechnica.com/information-te #AI #Risk #safety

Ars TechnicaOpenAI checked to see whether GPT-4 could take over the world"ARC's evaluation has much lower probability of leading to an AI takeover than the deployment itself."