State of technology (sorry, it’s all AI… 🥴)
🌟 At PD we are AI curious. Ignoring AI is likely to result in missing big opportunities, but too much Kool Aid is likely to lead to expensive mistakes, or worse. Making small bets, with a focus on testing and learning, is the approach we recommend. Put simply “we encourage our clients to spend less time debating AI, and more time experimenting with how it might solve real problems. Getting your hands dirty is by far the best way to learn where AI can help your organisation, and where it cannot.”
🧠 With all the worries about AI and privacy, we’ve been following the launch of Apple Intelligence. Matt Webb wrote up an interesting summary, with some excellent stuff about Apple’s language of "world knowledge" vs "personal intelligence", a distinction which is helpful for thinking about some of the different moving parts in AI systems. And Jamie Smith shared some sharp observations on how Apple is using its brand positioning around privacy to play the ‘trust game’, and is doing an extraordinary job. This technical piece from Apple on the security design of their AI also shows an admirable emphasis on privacy and verifiable transparency which we hope will encourage others to do the same.
🤬 Meanwhile, Ludic Mataroa gives a colourfully-written data scientist's view on why companies should stop buying into AI: “Unless you are one of a tiny handful of businesses who know exactly what they're going to use AI for, you do not need AI for anything - or rather, you do not need to do anything to reap the benefits.” Plus, you don’t need to be an AI sceptic to be genuinely alarmed by the dramatic growth of Google (and other big tech companies') carbon footprint in the Gemini era.
🤨 Research conducted by the UK’s Tony Blair Institute concluded that AI could replace more than 40% of tasks performed by public sector workers: a finding which reportedly came from… asking AI. We’re not so sure about that. Neither are 404 Media, who offer a scathing (and sadly paywalled) assessment: “Automation is a complex phenomenon – in government it involves multiple levels of administration, shared standards, changing legislation, very low acceptable cost of failure.” Rachel Coldicutt also suggested some reasons to be careful to avoid too much techno-optimism in her post: ‘I'm looking for a man in AI, trust fund, 6 foot, blue eyes’. |