Tag: economics
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The significance of OpenAI’s $6.6B investment round
OpenAI’s unprecedented $6.6 billion investment raise suggests they demonstrated something remarkable to investors, though not necessarily just raw intelligence gains. Whether it’s improved safety, efficiency, or multimodal capabilities, this massive vote of confidence hints at breakthroughs we haven’t yet seen publicly—developments that could reshape AI’s integration into society.
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Podcast: Michael Webb on whether AI will soon cause job loss, lower incomes, and higher inequality — or the opposite
https://80000hours.org/podcast/episodes/michael-webb-ai-jobs-labour-market/ Host Luisa Rodriguez interviews economist Michael Webb of DeepMind, the British Government, and Stanford about how AI progress is going to affect people’s jobs and the labour market. They cover:
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Podcast: Tom Davidson on How Quickly AI Could Automate the Economy
https://futureoflife.org/podcast/tom-davidson-on-how-quickly-ai-could-automate-the-economy/ Great conversation with Tom Davidson, with a lot of overlap with Holden Karnofsky’s Most Important Century series. Timestamps 00:00 The current pace of AI03:58 Near-term risks from AI09:34 Historical analogies to AI13:58 AI benchmarks VS economic impact18:30 AI takeoff speed and bottlenecks31:09 Tom’s model of AI takeoff speed36:21 How AI could automate AI research41:49…
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Do language models threaten the economic viability of universities?
Recent developments in generative AI – not least the notorious ChatGPT – offer opportunities to stimulate long-overdue reforms to assessment practices. But these reforms need careful thought and principled implementation within an already hard-pressed sector. Carless, D. (2023). How ChatGPT can help disrupt assessment overload. Times Higher Education Campus Note that the article I link…
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All progress is bad for somebody…
All progress is bad for somebody… . The general rule is that anything that increases human production is good for human living standards. Some people lose, but if you were to go and say we only want progress that benefits everyone, then there could be no progress. – Brian Caplan (2023)
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If Artificial Intelligence Only Benefits a Select Few, Everyone Loses
…nations that have begun to prepare for and explore AI will reap the benefits of an economic boom. The report also demonstrates how anyone who hasn’t prepared, especially in developing nations, will be left behind… In the developing world, in the developing countries or countries with transition economies, there is much less discussion of AI,…
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Joseph Stiglitz on artificial intelligence: ‘We’re going towards a more divided society’
“If we don’t change our overall economic and policy framework, what we’re going towards is greater wage inequality, greater income and wealth inequality and probably more unemployment and a more divided society. But none of this is inevitable,” he says. “By changing the rules, we could wind up with a richer society, with the fruits…
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What can machine learning do? Workforce implications | Science
Although recent advances in the capabilities of machine learning (ML) systems are impressive, they are not equally suitable for all tasks… .We identify eight key criteria that help distinguish successful ML tasks from tasks where ML is less likely to be successful. Learning a function that maps well-defined inputs to well-defined outputs. Large (digital) data…