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One hundred thousand tons of clothes dumped illegally in a Chilean desert. The tragic collapse of the Rana Plaza garment factory in Bangladesh… People are increasingly turning to a concept called “circular fashion” that may help end situations like that. Beyond Reduce, Reuse and Recycle, it encourages innovative designs and values that attract both young and old. We catch up with some of the new business models, as well as the people buying into these novel products and services.
Guest:
Yasui Akihiro (Circular-economy researcher)
Have you ever wondered how can North Korea afford its nuclear program and the luxury goods for its leadership when its economy is effectively cut off from the world? Well… let me tell you a little secret.
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Gordon Moore, the co-founder of Intel who died earlier this year, is famous for forecasting a continuous rise in the density of transistors that we can pack onto semiconductor chips. James McKenzie looks at how “Moore’s law” is still going strong after almost six decades, but warns that further progress is becoming harder and ever more expensive to sustain.
A video worth watching. An amazingly detailed deep dive into Sam Altman’s interviews and a high-level look at AI LLMs.
Missed by much of the media, Sam Altman (and co) have revealed at least 16 surprising things over his World Tour. From AI’s designing AIs to ‘unstoppable opensource’, the ‘customisation’ leak (with a new 16k ChatGPT and ‘steerable GPT 4), AI and religion, and possible regrets over having ‘pushed the button’.
A discussion of the fascinating concept of space folding as it is presented in the Dune legendarium. In order to fill the needs of the vast interstellar empire of Frank Herbert’s universe the mechanism of space-folding is heavily relied upon. This form of faster-than-light travel enables spaceships to traverse astronomical distances instantaneously, and has proven crucial in shaping its social, economic, and political dynamics. Spoiler warning if you are unfamiliar with Frank Herbert’s Dune.
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Continue reading “Space Folding Explained | Spacing Guild Navigation | Dune Lore” »
Much ink has been spilled over fears that artificial intelligence (AI) will eliminate jobs in the economy. While some of those fears may be well-founded, red-hot interest in AI innovation is creating new jobs as well.
This graphic visualizes data from Lightcast, a labor market analytics firm, which shows how many AI-related jobs were posted in each state throughout 2022.
In total there were 795,624 AI jobs posted throughout the year, of which 469,925 (59%) were in the top 10. The full tally is included in the table below.
Government can give Universal basic income to everyone.
https://www.msn.com/en-us/money/other/the-a-i-endgame-is-tha…st-says/vi
Ben Goertzel, CEO of decentralized artificial intelligence marketplace SingularityNET, says “there are far more rewarding things for humans beings to do than [scrambling] around to get resources.”
Perhaps not surprisingly, the AI was the most helpful for the least-skilled workers and those who had been with the company for the shortest time. Meanwhile, the highest-skilled and most experienced agents didn’t benefit much from using the AI. This makes sense, since the tool was trained on conversations from these workers; they already know what they’re doing.
“High-skilled workers may have less to gain from AI assistance precisely because AI recommendations capture the knowledge embodied in their own behaviors,” said study author Erik Brynjolfsson, director of the Stanford Digital Economy Lab.
The AI enabled employees with only two months of experience to perform as well as those who’d been in their roles for six months. That’s some serious skill acceleration. But is it “cheating”? Are the employees using the AI skipping over valuable first-hand training, missing out on learning by doing? Would their skills grind to a halt if the AI were taken away, since they’ve been repeating its suggestions rather than thinking through responses on their own?
The current education landscape requires close collaboration between edtech and AI developers to leverage their expertise and maximize the impact of AI technology in the sector. It also aims to avoid the negative consequences of redundant efforts, wasted resources and less effective solutions. By effectively applying best practices such as clear communication, alignment of goals, and interdisciplinary collaboration, edtech and AI developers can develop innovative, scalable and effective solutions. The “AI and the Future of Learning: Expert Panel Report” underscores key strategies for successful collaboration between edtech and AI developers. The report highlights key strengths and weaknesses of AI as well as the respective opportunities and barriers to employing AI technologies in the education sector.
Education plays a critical role in promoting social and economic development in a region, and when communities recognize its potential, they are more likely to support educational reforms. These reforms can address any challenges in the sector, such as funding constraints, lack of access to quality education and cultural attitudes that may deny education to particular groups. With the increased adoption of AI in the education sector, potential future developments—including ITS, adaptive assessment, gamification and the use of machine learning—can promote the efficiency of personalized learning.
In the long run, the collaboration between edtech and AI developers holds great potential for transforming education and improving learning outcomes. For this to happen, it is necessary to establish industry standards for AI in education, foster interdisciplinary collaboration between educators and AI experts, and invest in research on AI’s impact on learning outcomes. In this way, we can ensure that AI-powered tools are used effectively and ethically to improve student learning in the 21st century.
