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Submission + - How Big Tech Captured American Schools

theodp writes: In How Big Tech Captured American Schools (alt source), an adapted excerpt of the forthcoming book Coding Kids: Big Tech’s Battle to Remake Public Schools, the New York Times' Natasha Singer begins: "Many parents would likely object if, say, Exxon Mobil wrote their children’s environmental science curriculum. Or if Purdue Pharma trained their children’s biology teachers. Yet, over the last decade, schools have often embraced the technology industry in similar ways with few questions asked. Industry-sponsored teacher training is just one technique that Big Tech companies use to shape schools and promote their worldviews to students. In interviewing more than 100 education and tech industry figures for my book, and reviewing hundreds of school, government and corporate documents, it became clear that a handful of giants have used their money, their might and their mammoth platforms to influence nearly every step of the education supply chain."

"Consumer tech giants provide the essential scaffolding that schools run on. That means laptops and tablets; operating systems and device-tracking software; the apps students use to write essays and analyze data; the messaging platforms that connect students and teachers; and more. Some of these companies, including Google, Microsoft and Apple, have also used their status as classroom tech providers as a springboard to influence how and what schoolchildren learn."

"This story matters whether you want schools to center tech skills or are agnostic, because the recent learn-to-code craze and the growing push for A.I. in schools are not just about learning. Those trends are part of a larger exercise of Silicon Valley power. The public education system, hungry for resources to improve opportunities for students, has become an avenue for multitrillion-dollar companies to enact their agendas."

"This development taps into fundamental questions about education that Americans have been arguing over for more than a century. What is the purpose of public schooling? Is it to raise critical, independent thinkers? Train students in the latest career skills? Help young people discover their passions? Serve the needs of the prevailing industry or emerging ones? Create knowledgeable and active participants in a democracy? Or all of the above?"

In an accompanying LinkedIn post, Singer adds: "Every few years, Silicon Valley has urged American public schools to quickly adopt the latest technology or teach the latest tech subject: Big Data analytics; laptops for every child; algorithm-driven math and reading apps; computer programming; virtual reality. And each time the urgent arguments sounded remarkably similar: if schools just adopted the latest tech tool, or taught the latest tech subject, it would democratize learning for every child and equip students with valuable career skills. The campaign to expand student access to computer science and other efforts had good intentions. But today we know some of those classroom tech drives did not exactly pan out as advertised. Now some of the same companies that urged schools to provide laptops and coding lessons are employing similar arguments to urge schools to quickly adopt A.I. tools. I've spent years covering Chromebooks and student chatbot use. And I'm troubled by our collective amnesia around school tech."

Comment On the bright side? (Score 1) 90

>On the bright side? Maybe watermarks can help AI stop training on AI-generated text.
 
You're living in 2023 if you think any company worth their salt is still scraping the live internet for quality content. Everyone has their own curated library already Nobody has been scraping en masse for at least two years, unless there's a blog article about bleeding edge science research or something. Even then they will probably just scrape the scientific paper itself, rather than coverage of it.

Comment Should require a warrant, full stop (Score 1) 33

Searching the flock database should require a warrant signed by an actual judge in the actual jurisdiction where the crime in question is alleged to have taken place, and in the actual court that would hear the case. No forum shopping for friendly judges with rubber stamp warrant policies.

Comment Re: Ok, so since market has started ignoring him (Score 1) 210

It's none of those things. It's just seething vitriol. Republican voters, who are predominantly poor, sick, and uneducated, have been told for years that they're poor and uneducated because of the only people on this earth who don't want them to be poor, sick, and uneducated. The GOP can't succeed without a huge tribe of victim voters who can only be trained in base instinctive behaviors like hate and violence.

Comment Re:Likely-erroneous assumptions (Score 1) 140

>the AI bubble is going to burst and
 
Kimi K3 docs and tooling, and weights, dropped this morning. Kimi is selling K3 tokens at $3/million tokens and if you're running it using GB300 gpu racks @ $6 million each... the math mostly checks out. Anthropic is selling what some people call roughly equivalent Fable tokens at $50/million each. I don't think AI is going anywhere, but valuation of companies like Anthropic, OpenAI in the $500b-$1T range isn't sustainable when "open" models sell tokens at a profit at $3/million tokens.
 
Open Weight models have been catching up to SOTA for a while but the lead OpenAI and Anthropic have, has been eroding quite rapidly and their ability to charge a premium for their product may not continue indefinitely at this point.
 
Again I'm not saying AI isn't useful, just that the bubble is largely based on valuation and Kimi K3 is.... well positioned to pop that bubble.

Comment Re: Well it was inevitable (Score 1) 162

we're about to buy a $2400 m4 pro mac mini to grind away at a useful but low-medium priority task in perpetuity using one of the qwen 3.6 models. The ROI vs haiku api cost is less than 5 months. SOTA models are cool but a quantized 30B class model can do most any batched work if structured carefully, and you have a fairly flexible failure budget

Comment Re:Component Price Bubble? (Score 1) 162

The big issue is GDDR6 memory which is pretty new and there's not a ton of capacity already, and it's all been bought out through the end of 2028. Plants take 3 years to come online and are expensive (Read: risky) to build if the demand falls off
 
I would love to be able to buy a 4TB GDDR7 machine and never have to use cloud services again, but it's not happening before 2035

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