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The Who's Who of AI

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New Culture, work & education Development 17h ago
⚡ 5 h early
Google AI overviews forced in classrooms

Google Is Forcing AI Overviews in Classrooms. Schools Are Searching for a Way Out

2 experts are actively discussing the implications.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Ben Williamson
“"This seems counterproductive to what we're trying to teach.... Students need opportunities to navigate search results, examine sources, and draw their own conclusions rather than being handed anAI-generated synthesis before they've even started.” www.wired…” evidence ↗
2 experts 2 communities 2 sources clustered

“"This seems counterproductive to what we're trying to teach.... Students need opportunities to navigate search results, examine sources, and draw their own conclusions rather than being handed anAI-generated synthesis before they've even started.” www.wired…”

2 experts discussed this · 10 posts
Ben Williamson: "... it should not be down to tech giants to set education policy" - great to see this in New Scientist in response to Google's efforts to make AI the default medium for knowledge access in schools…
Ben Williamson: Google has been a problematic policy actor in education for years, far pre-dating Gemini. Its education platform Classroom was already a vector for automation in education www.edweek.org/technology…
Ben Williamson: Before ChatGPT, Google had already made its plans to introduce LLMs into education well known. In 5 years it's gone from shonky demos to forcing it into schools via existing Chromebook purchases an…
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What experts are discussing without an anchoring article

5 experts · 13 posts · 23h ago
Matches Opportunity & adoption
“oh, they already do, but I suspect my agent can say "no thank you" faster” evidence ↗
Multiple readings Concern & critique · 1 Research & technical analysis · 1 Context & explanation · 1
Ted Underwood: We need a social movement to explain to students and entrepreneurs — that it's a bad idea to email random professors in other states for advice. It was charming to get one inquiry a month, but thre…
Ted Underwood: I'm not sure what happened; GenAI is part of it, but not all of it. The trend began earlier.
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3 experts · 22 posts · 16h ago
Matches Opportunity & adoption
“I was mostly thinking about the brain in the post at the top, not ML. I can certainly see that comparing expectations to observations is useful, but isn't that obvious? That's not the same as repla…” evidence ↗
Shared emphasis Questions & unknowns · 2
Dan Goodman: Genuine question asked out of ignorance and not to make a point: is "replay" still a useful concept? I'm not an expert on this at all, but it seems like you would have had to have done all the inte…
Dan Goodman: I don't really understand this.
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3 experts · 3 posts · 13h ago
Matches Opportunity & adoption
“My students weren't very happy to discover that in machine learning, "tensor" is just a puffed-up jargon term for a multi-dimensional array.” evidence ↗
Mark J. Nelson: My students weren't very happy to discover that in machine learning, "tensor" is just a puffed-up jargon term for a multi-dimensional array.
Al Merose: We can all blame Jeff Dean for that.
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2 experts · 6 posts · 1d ago
Matches Opportunity & adoption
“It’s not really that, exactly. The math thing is just the LLM doing some data analysis and then tweaking the model, much in the exact same way that a skilled human might. It’s impressive but not mo…” evidence ↗
SE Gyges: this is an insanely funny admission given that the post is still correct in terms of all of the literal words that are literally in the post
Colin: there's just nothing really to address. The math performance thing on the small Qwen model is just a programming task. A kind of strange one, but not an especially impossible one. It doesn't reveal…
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