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Full article: Adopting HyFlex in higher education in response to COVID-19: students’ perspectives
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How to choose a sample size (for the statistically challenged) - tools4dev
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Lesson 1: Getting Started With Assessment - Module 6: Grading and Assessment
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Artificial General Intelligence Is Not as Imminent as You Might Think - Scientific American
- We are still stuck on precisely the same challenges that academic scientists (including myself) having been pointing out for years: getting AI to be reliable and getting it to cope with unusual circumstances.
- The subplot here is that the biggest teams of researchers in AI are no longer to be found in the academy, where peer review used to be coin of the realm, but in corporations
- In the software industry, there’s a word for this kind of strategy: demoware, software designed to look good for a demo, but not necessarily good enough for the real world.
- We will be left with powerful deepfakes, enormous networks that emit immense amounts of carbon, and solid advances in machine translation, speech recognition and object recognition, but too little else to show for all the premature hype.
- The central challenge [going forward] is to unify the formulation of … learning and reasoning.
- For now, we are trapped in a “local minimum” in which companies pursue benchmarks, rather than foundational ideas, eking out small improvements with the technologies they already have rather than pausing to ask more fundamental questions.
- Instead of pursuing flashy straight-to-the-media demos, we need more people asking basic questions about how to build systems that can learn and reason at the same time.
- It’s time for artificial intelligence researchers to look up. We can’t “solve AI” with PR alone.
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Saturday, June 18, 2022
Weekly Sporto bookmarks (weekly)
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