Yet another post catching us up with the latest in the AI revolution: the lead article introduces autonomous agents as "the fastest growing trend amongst AI developers, yet most people don't know about them." Also, Donald Clark is worried about seven words that anthropomorphize AI. Ben Williamson authors a chapter offering "a partial genealogy of education data science" that "reveals the contingency of claims to objective knowledge discovery through data analytics infrastructures," arguing that education data science is "imprinted with strong political imperatives regarding performance-based accountability, and in many cases with the market-making concern of commercial EdTech businesses." Bryan Alexander ponders the future of instructors after AI. UNESCO releases its chatGPT and AI in education quick start guide. Michael Feldstein observes that "AI seemed to be the only thing anybody talked about" at the recent ASU+GSV conference, noting that "and yet the discourse sounded a little bit like GPT-2 trying to explain the uses, strengths, and limitations of GPT-5." Finally, an OECD reports states that at the rate things are going, AI will outperform some 90 percent of adults in literacy and numeracy tests. "Even the best-ranking countries to date cannot supply more than a quarter of their workforce with the literacy and numeracy skills needed to outperform AI."
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