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40% of middle and high school students spend about half the school day on devices

A recent NYT survey of US teachers reveals how much screen time American students get in class.

Tom Jones

In March 2020, when the pandemic had kicked off in earnest and schools shut around the world, educational institutions rushed to source e-learning devices to ensure kids could keep learning from home. Now, as we hurtle time-warpingly close to six years on from that point, students are back in class as normal, except they now arrive equipped with the devices that helped them through the remote learning era.

Plugged in

Per an October survey from The New York Times published by The Upshot last week, 8 in 10 American teachers say that students at their schools now have devices assigned to them, up from around a third who said the same in 2019. While that might not be the most surprising news to anyone who has kids or knows even a little bit about modern classroom dynamics, the amount of time some students are spending on those screens each day may come as a little more of a shock.

Student screen time chart
Sherwood News

As you might expect, tablets, laptops, and other school-issued tech are relied on less heavily in elementary schools, with a healthy majority of students spending less than one hour a day on devices in the classroom, according to their teachers. Older kids, however, spend more time with devices in school. Per the most recent Pew Research Center figures, the average school day is around six hours in the US, meaning that the 40% of middle and high school students who spend more than three hours on devices see at least half of their time in school consumed by tech.

Teachers are already worried about screens in schools — a different part of the survey revealed that 70% of respondents said devices are distracting students at least “a little” from schoolwork. Still, despite how you may personally feel, all of this becomes pretty tricky when you remember that many of the so-called “good jobs” that parents and teachers may hope children get are, when stripped back, basically just eight hours spent staring at a screen all day.

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OpenAI: Our new AI tool is too dangerous to release, too!

This week, Anthropic warned that it had developed a new model that was too dangerous to cybersecurity to be released to the public.

According to a new report, OpenAI is saying similar things about a new cybersecurity tool it is working on (separate from its rumored forthcoming Spud model).

Axios wrote that OpenAI is allowing a small group of partners to test its new AI tool, which has “advanced cybersecurity capabilities.”

The realization that we have arrived at an era of powerful new AI models that could overwhelm current cybersecurity defenses is spooking investors, with cybersecurity stocks like Cloudflare, Zscaler, CrowdStrike, and Palo Alto Networks all down sharply this morning.

Axios wrote that OpenAI is allowing a small group of partners to test its new AI tool, which has “advanced cybersecurity capabilities.”

The realization that we have arrived at an era of powerful new AI models that could overwhelm current cybersecurity defenses is spooking investors, with cybersecurity stocks like Cloudflare, Zscaler, CrowdStrike, and Palo Alto Networks all down sharply this morning.

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OpenAI’s Stargate shrinks further as UK data center “paused”

OpenAI’s ambitious Stargate global data center project just got smaller.

First announced at the White House alongside President Trump at the start of his second term, the OpenAI partnership with Oracle and SoftBank sought to build massive data centers around the world, including sites in the UAE, the UK, and Norway.

Bloomberg reports that the company is “pausing” the Stargate UK project, citing high energy costs and regulatory obstacles.

Last month, the company and its partner Oracle scrapped its planned expansion of the Stargate I data center site in Abilene, Texas.

In a statement to Bloomberg, the company said:

“AI compute is foundational to that goal — we continue to explore Stargate UK and will move forward when the right conditions such as regulation and the cost of energy enable long-term infrastructure investment.”

Stargate UK was announced in September, including a partnership with Nvidia and Nscale that would scale up to 31,000 GPUs.

Bloomberg reports that the company is “pausing” the Stargate UK project, citing high energy costs and regulatory obstacles.

Last month, the company and its partner Oracle scrapped its planned expansion of the Stargate I data center site in Abilene, Texas.

In a statement to Bloomberg, the company said:

“AI compute is foundational to that goal — we continue to explore Stargate UK and will move forward when the right conditions such as regulation and the cost of energy enable long-term infrastructure investment.”

Stargate UK was announced in September, including a partnership with Nvidia and Nscale that would scale up to 31,000 GPUs.

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Meta jumps after it releases Superintelligence Labs’ first model: Muse Spark

The first big release from Meta’s Superintelligence Labs is here — a new multimodal reasoning model called Muse Spark. Shares of Meta spiked on the news, extending gains it had made earlier in the day on optimism over the ceasefire with Iran. The stock was recently up about 9%.

Meta has been playing catch-up in the generative-AI race, watching startups OpenAI and Anthropic leap ahead with ever more capable models, after the bungled rollout of its Llama 4 models.

After Meta went on an expensive hiring spree assembling an all-star team of AI researchers, investors have been eager to see the fruits of this team, and to see if the accompanying billions of capex dedicated to power it — $115 billion to $135 billion this year alone — were worth it.

Meta says the release is the first in a Muse family of models, which it says it will scale up over time. The benchmark scores released by Meta show Spark to be capable, with solid scores among popular benchmarks, but not any huge leaps over leading models from Anthropic, OpenAI, xAI, and Google.

Meta CEO Mark Zuckerberg said in a post on Threads:

“Looking ahead, we plan to release increasingly advanced models that push the frontier of intelligence and capabilities, including new open source models. We are building products that don’t just answer your questions but act as agents that do things for you. I am optimistic that this will support a wave of creativity, entrepreneurship, growth, and health. I’m looking forward to sharing more soon.”

After Meta went on an expensive hiring spree assembling an all-star team of AI researchers, investors have been eager to see the fruits of this team, and to see if the accompanying billions of capex dedicated to power it — $115 billion to $135 billion this year alone — were worth it.

Meta says the release is the first in a Muse family of models, which it says it will scale up over time. The benchmark scores released by Meta show Spark to be capable, with solid scores among popular benchmarks, but not any huge leaps over leading models from Anthropic, OpenAI, xAI, and Google.

Meta CEO Mark Zuckerberg said in a post on Threads:

“Looking ahead, we plan to release increasingly advanced models that push the frontier of intelligence and capabilities, including new open source models. We are building products that don’t just answer your questions but act as agents that do things for you. I am optimistic that this will support a wave of creativity, entrepreneurship, growth, and health. I’m looking forward to sharing more soon.”

tech

Alibaba launches new data center powered by 10,000 of its custom chips

Alibaba announced a new data center in southern China, in a partnership with China Telecom powered by its own Zhenwu chips. The new data center will contain 10,000 of the homegrown chips, and may scale up to 100,000 over time. The data center will be used for both inference and training.

China is racing to build out its own sovereign AI capabilities, and is making significant progress.

While Chinese companies and labs have released many competitive AI models, such as Alibaba’s Qwen, Z.ai’s new GLM-5.1, and the disruptive DeepSeek R1, China is still behind the US when it comes to AI chips, and it has struggled to get hold of the latest Nvidia GPUs due to US export controls.

China is racing to build out its own sovereign AI capabilities, and is making significant progress.

While Chinese companies and labs have released many competitive AI models, such as Alibaba’s Qwen, Z.ai’s new GLM-5.1, and the disruptive DeepSeek R1, China is still behind the US when it comes to AI chips, and it has struggled to get hold of the latest Nvidia GPUs due to US export controls.

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