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INTELLIGENCE CHECK

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Signage at the office of DeepSeek in Beijing last month (Peter Catterall/Getty Images)

The DeepSeek freak-out should make us reconsider what’s most important in AI

Maybe we don’t want AI that’s super-integrated with lots of bells and whistles. Maybe we just want something that’s good enough and free.

Ryan Broderick, Adam Bumas

The DeepSeek freak-out has gotten quieter lately. Markets have calmed. Nvidia’s stock is pulling itself out of the hole it fell into late last month. And data from Appfigures shows that downloads for DeepSeek’s AI assistant app have leveled off after their feverish start, and it’s now about as popular day to day as OpenAI’s ChatGPT.

As news reports about the new Chinese AI tool hit the web, demand for the app skyrocketed. On January 27, DeepSeek was downloaded more than half a million times on iOS and 1.2 million times on Android, almost double ChatGPT’s figures on the same day. It’s likely demand for the app was actually much higher, handicapped by both Chinese regulators limiting international users that could access it as well as a massive DDOS cybersecurity attack.

The level of hype surrounding China’s ultracheap breakthrough has helped bring the AI landscape into focus. Though OpenAI’s dominance was challenged, DeepSeek probably shouldn’t be viewed as a genuine commercial competitor to ChatGPT — if it were, it probably wouldn’t be open-source. Instead, DeepSeek’s reveal should be seen as a show of force. A “look what we can do” moment. The first salvo in what could possibly be a true AI arms race between the world’s two technological superpowers. 

What hangs in the balance? Well, trillions of dollars in market capitalization, hundreds of billions of dollars of investment, huge financial outlays into infrastructure from the biggest tech companies on the planet, and the potential disruption of the future of work. No biggie! 

But the entire debacle exposes a central question we weren’t really asking before that we should be asking now, in the wake of DeepSeek’s emergence: what do users actually want from AI?

Sam Altman at Italian Tech Week 2024
Sam Altman at Italian Tech Week 2024 (Stefano Guidi/Getty Images)

Understanding what generative AI should be has been a core problem from the start. Is it essentially a nifty version of Clippy? Is it the Adobe Suite of the future? Is it a search engine killer? Obviously, OpenAI would say yes to all of the above and more. When ChatGPT launched in late 2022, it shattered growth records, gaining over 100 million users in less than two months.

But DeepSeek’s quick ascendancy seems to point to an answer here. Now that people have a sense for the way AI works, they don’t really care about the bells and whistles as long as they can get it for free. 

In total, the DeepSeek AI assistant has been downloaded about 26 million times on Apple and Google devices in its first month. That’s not quite as impressive as ChatGPT’s initial numbers (or even its current numbers, as it’s gotten over 33 million downloads over the same time span), but it completely undermines the narrative that OpenAI and its competitors have been raising money on, from the likes of VCs all the way up to Microsoft, for the past five years: that AI needs to be expensive, that it has to come nicely packaged in a slick, multimodal app, and that it needs to be groundbreaking at all. 

The idea that AI tools don’t actually have to be revolutionary is a huge shock to an industry begging investors for billions of dollars to continue chasing dreams of artificial general intelligence. Leaked documents show that OpenAI now internally defines AGI as “an AI system that generates $100 billion in revenue.” 

DeepSeek’s real impact is showing that the industry may never get there, and putting in more computing power doesn’t guarantee more profit. Instead, the new hot commodity is what The New York Times’ Zeynep Tufekci called “artificial good-enough intelligence.”

And, as you might expect, the excitement over “artificial good-enough intelligence” is beginning to die down just weeks later. As of early February, DeepSeek and ChatGPT daily downloads were neck and neck on both Apple and Google app stores. It’s still impressive to compete with an app that regularly outpaces TikTok and Instagram in daily downloads, but DeepSeek isn’t the same kind of quantum leap as ChatGPT — it’s Coke and Pepsi.

No one downloading DeepSeek cares that it can’t “see,” can’t “talk,” and can’t generate images. They’re happy with something comparable to ChatGPT without the paid subscription. It doesn’t matter if it’s fancy, integrated well into your existing devices, or even censored, as long as it’s cheap and easy to download. Sure, DeepSeek is nowhere near as innovative as ChatGPT was, but there are a lot of people out there who drink a lot of Pepsi. 


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The company said the acquisition will help Codex “expand beyond coding” by helping address a wider range of development tasks, such as planning, testing, and code maintenance.

OpenAI said Codex has seen “3x user growth and 5x usage increase” since the start of 2026, and has over 2 million weekly active users.

Software development is emerging as one of the key battlegrounds where OpenAI is competing for market share with Anthropic, which has been enjoying success with its Claude Code product.

OpenAI said it will continue to support Astral’s open-source software projects.

OpenAI said Codex has seen “3x user growth and 5x usage increase” since the start of 2026, and has over 2 million weekly active users.

Software development is emerging as one of the key battlegrounds where OpenAI is competing for market share with Anthropic, which has been enjoying success with its Claude Code product.

OpenAI said it will continue to support Astral’s open-source software projects.

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Elon Musk gives an estimate for Tesla’s AI6 chip timeline... while the AI5 is still unfinished

Tesla CEO Elon Musk said yesterday that the company’s AI6 chip could, with “some luck and acceleration using AI,” be finalized and sent to manufacturing by December. For those paying attention, Tesla hasn’t confirmed that its previous chip, the AI5, has reached tape-out, with Musk saying only that the design is in “good shape” and “almost done.” Still, Musk is already talking about subsequent chips AI6, AI7, AI8, and beyond.

Here’s a roundup of when these chips are expected, what they’re supposed to do, and what Musk himself has said about them.

While the AI5 and AI6 will be made by TSMC and Samsung, respectively, Musk has said Tesla eventually aims to manufacture its future AI chips at Tesla’s upcoming Terafab factory in Austin.

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The agency is focusing on Tesla’s “degradation detection system,” which is meant to recognize when its camera-based technology cannot reliably perceive the road and prompt drivers to intervene:

“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”

Tesla CEO Elon Musk has long argued that the company’s self-driving approach does not require the expensive lidar sensors used by rivals such as Waymo.

The agency is focusing on Tesla’s “degradation detection system,” which is meant to recognize when its camera-based technology cannot reliably perceive the road and prompt drivers to intervene:

“Available incident data raise concerns that Tesla’s degradation detection system, both as originally deployed and later updated, fails to detect and/or warn the driver appropriately under degraded visibility conditions such as glare and airborne obscurants. In the crashes that ODI has reviewed, the system did not detect common roadway conditions that impaired camera visibility and/or provide alerts when camera performance had deteriorated until immediately before the crash occurred.”

Tesla CEO Elon Musk has long argued that the company’s self-driving approach does not require the expensive lidar sensors used by rivals such as Waymo.

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Apple is behind the rest of Big Tech when it comes to developing its own AI, but that hasn’t stopped it from cashing in on the AI boom. The iPhone maker stands to bring in more than $1 billion in App Store fees this year from other companies’ generative-AI apps, mostly from ChatGPT, The Wall Street Journal reports, citing data from App Magic.

Unlike rivals pouring hundreds of billions into AI infrastructure, Apple’s spending has been relatively modest, with its overall capital expenditure actually declining last quarter. Its lucrative App Store model lets Apple profit from AI as a gatekeeper without fully joining the expensive race to build it.

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