Tech
In this photo illustration, the Stack Overflow logo is seen...
The Stack Overflow logo seen displayed on a smartphone screen (Thomas Fuller/Getty Images)
isn’t it aironic?

Stack Overflow’s forum is dead thanks to AI, but the company’s still kicking... thanks to AI

The platform is raking in millions of dollars in revenue, with AI an ironic new source of revenue.

Claire Yubin Oh

When Elon Musk described Stack Overflow’s plight as “death by LLM” in July 2023, he wasn’t exaggerating.

Having been the go-to resource for developers looking for technical help for a long time, Stack Overflow neared the peak of its powers during the pandemic, with coders seeking the evergreen information on the company’s popular Q&A forum. But amid a wave of powerful code-writing AI assistants like ChatGPT, Cursor, Claude, Google’s Gemini, and Microsoft’s Copilot, traffic to the site has plummeted.

Last month, Stack Overflow recorded just 6,866 questions — roughly equal to the typical volume when the site first launched back in 2008.

Stack overflow’s traffic
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But while Stack Overflow the Q&A forum looks dead, Stack Overflow the company looks to be limping along.

Unlike Chegg and other knowledge hubs that have fallen victim to generative AI, Stack Overflow has found a way to monetize its enormous back catalog of content. Indeed, even with engagement falling off a cliff since ChatGPT’s 2022 debut, the company’s annual revenue has roughly doubled to $115 million. Losses have slimmed, too, from $84 million in FY2023 to $22 million as of the last fiscal year, as desperate cost-cutting efforts, including mass layoffs, helped boost the bottom line.

Once dependent on ads across its buzzy forum, Stack Overflow now primarily makes money from enterprise solutions like “Stack Internal,” which provides a generative-AI add-on powered by the millions of questions and answers on the site through the years. Stack Internal is now used by 25,000 companies around the world. It also licenses its data to AI companies, in a Reddit-like model — a platform that made more than $200 million from licensing user-generated content in 2024. 

Put simply, Stack Overflows new niche is the trust built by its old community and their expertise. In the words of CEO Prashanth Chandrasekar last December:

...when we saw the questions decline in early 2023, what we realized is that pretty much all those declines were with very simple questions. The complex questions still get asked on Stack because there’s no other place. If the LLMs are only as good as the data, which is typically human curated, we’re one of the best places for that, if not the best for technology.

Large language models want data about coding problems and how to solve them. Stack Overflow has a big digital warehouse full of that, but it’s increasingly aging, as queries move into private chat windows with LLM models... which need huge chunks of data to work. Stack Overflow has become a fascinating canary in tech’s new, circular coal mine.

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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 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 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.

Psychic Boy Wearing Head Band

Anthropic: Our new Mythos model is so powerful, we can’t release it

The unusual announcement of the model highlights its alarming new cybersecurity capabilities.

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Bloomberg: Apple’s foldable iPhone is on track for September after all

Scratch that... Actually, Apple’s foldable iPhone may be on track to debut later this year after all.

Hours after a report from Nikkei Asia said Apple was encountering engineering problems with the novel design that could lead to a delayed launch, Bloomberg’s Mark Gurman reports that sources within Apple say the premium foldable iPhone is still on track to launch in September, alongside the iPhone 18 Pro and iPhone 18 Max.

Shares of Apple had plunged more than 5% on word of a possible delay, but pared losses on Gurman’s story.

According to the report, the foldable iPhone will cost more than $2,000 and will be a key part of the company’s plan to revamp the iPhone lineup.

Shares of Apple had plunged more than 5% on word of a possible delay, but pared losses on Gurman’s story.

According to the report, the foldable iPhone will cost more than $2,000 and will be a key part of the company’s plan to revamp the iPhone lineup.

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