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BORN TO SCROLL

Nearly 40% of kids under 2 years old interact with smartphones, according to their parents

A new Pew Research study outlines just how pervasive technology use among US children has become.

Millie Giles

As parents in 2025 know, they really do grow up so fast. First words today, first Google query tomorrow. Then, before you know it, they’re asking ChatGPT to read them a bedtime story...

On Wednesday, Pew Research Center published a survey assessing how parents in the US with children under 12 manage their kids’ screen time, which revealed that 61% of respondents overall reported their child ever uses or interacts with smartphones — including 38% of those with children under 2 years old.

Much of this smartphone screen time is likely made up by parents streaming kid-friendly cartoons for their little ones to watch on the go: the study also found that YouTube use among children under 2 has risen sharply from 45% to 62% over the last five years. But it appears that most American toddlers only need to wait a few years before they can get devices of their very own.

Smartphones children Pew Research
Sherwood News

The same survey showed that almost one in four US parents overall allow their children aged 12 and under to have their own smartphones, and this ballooned to nearly 60% when just looking at kids aged 11-12 years old.

Indeed, even with statewide smartphone bans spurring an old-school iPod revival, most parents — the vast majority of whom (92%) reported being concerned about staying in contact with their children — are allowing their descendants who’ve barely hit double digits to have devices to use in their free time.

Pre-teens, post-screens

While traditional cable viewership continues to sink, TV remains the screen of choice for kids’ entertainment, permitted by 90% of parents surveyed. However, moms and dads may now be faced with a whole new hotbed of childcare worries: the study also found that some 8% of kids aged 5-12 have interacted with AI chatbots.

As an overwhelming majority of parents (80%) still harbor concerns over the harms of social media, the negative consequences of this relatively novel, extremely powerful tech for a whole cohort of young people may become even more stark in years to come — through screens or otherwise.

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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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