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A new wave of concern is hitting the AI space after governments push back on how Grok has been used. People generated fake sexualized images from real photos, often without consent, raising serious questions about safety. Let’s dive in!
In today’s insights:
Grok triggers global deepfake backlash
OpenAI Eyes Pinterest
China Rewrites the AI Cost Curve
Read time: 4 minutes
LATEST DEVELOPMENTS
Evolving AI: Governments push back after Grok was used to generate nonconsensual sexualized images.
Key Points:
Users exploited Grok to digitally undress real people, including minors, triggering outrage.
France, India, and the UK are probing or pressuring xAI over deepfake abuse.
xAI admits safeguard gaps as regulators question platform responsibility.
Details:
Grok, the AI image tool linked to Elon Musk’s xAI, drew scrutiny after users shared fake sexualized images made from real photos. Reports show prompts like “remove clothes” were used on adults without consent and, in some cases, minors. Authorities in France opened an investigation, India demanded a review and takedowns, and UK officials called on Musk to act. xAI says fixes are underway, yet critics point to weak moderation and unclear accountability.
Why It Matters:
What you’re seeing with Grok isn’t a one-off “oops,” it’s the predictable outcome of giving millions of people a one-click photo editor that can follow “remove clothes” prompts at scale. After Wired showed similar bikini-deepfake workarounds on ChatGPT and Gemini in late December, Grok became the next stress test, and governments moved fast: France has prosecutors involved and is looping in the EU’s DSA playbook, India has formally put X on notice, and the UK is already lining up explicit-deepfake offences.
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OPENAI
💰 OpenAI Eyes Pinterest
Evolving AI: OpenAI is reportedly weighing a Pinterest deal to boost images, ads, and shopping.
Key Points:
OpenAI may pursue Pinterest in what could be its largest acquisition so far.
The appeal centers on Pinterest’s image data, ad system, and merchant ties.
Shares rose after the report, hinting investors see real odds of a deal.
Details:
A report from The Information says Sam Altman-led OpenAI is exploring a potential acquisition of Pinterest. The move would give OpenAI access to a massive image library, an established ad business, and deep merchant relationships. Pinterest’s visual discovery tools could pair with OpenAI’s image and video models, strengthening its position against rivals such as Google. Pinterest is valued near $17.5B, with founders holding major voting control.
Why It Matters:
If OpenAI ever wants shopping inside chat to feel native, Pinterest is basically a cheat code: hundreds of millions of people already use it to hunt for ideas that turn into purchases, and the platform already sells ads right where that intent shows up. Pinterest has been doubling down on visual search and even rolled out an AI shopping assistant, so pairing that with OpenAI’s image and video tools could turn “show me outfit ideas” into “here are options you can buy” in one flow. For brands and merchants, that’s a new ad surface where the creative can be generated on the fly and matched to the exact vibe someone is saving. For users, it’s a shorter path from inspiration to checkout, with fewer tabs and less scrolling.
Two weeks ago at the Google Public Sector Summit, NVIDIA and Google Cloud sat down for a chat about how AI is actually being built and used in the real world, especially by governments and public services. They explain what it takes to run AI at large scale and why infrastructure really matters. It’s a clear, behind-the-scenes look at how big AI projects move from ideas to real impact.
CHINA
🇨🇳 China Rewrites the AI Cost Curve
Evolving AI: China’s chipmakers and model labs show efficiency can rival raw compute under pressure.
Key Points:
Biren’s Hong Kong debut surged 82%, signaling investor confidence in domestic AI chips.
DeepSeek revealed a training method that stabilizes large models at lower compute cost.
China’s AI push is shifting focus from massive training clusters to efficient inference.
Details:
China’s AI sector kicked off 2026 with momentum across chips and models. Biren raised $717M in a blockbuster Hong Kong listing by leaning on older manufacturing nodes and chiplet design to cut costs. State telecoms are already deploying its accelerators. At the same time, DeepSeek published research showing large models can scale without runaway training spend, hinting at another major release soon.
Why It Matters:
Biren’s huge Hong Kong debut and Baidu’s Kunlunxin IPO filing show China’s AI money is flowing straight into “good enough” domestic compute that can be deployed at scale. Pair that with DeepSeek’s new mHC training work, which targets stability when models get bigger, and you get a simple shift: less obsession with monster GPU clusters, more focus on lowering the cost per usable model run. For telecoms, banks, and enterprise software teams, that means cheaper inference capacity and fewer budget blowups when moving from a demo to millions of real queries. If this playbook keeps working, “compute advantage” starts looking less like who owns the most Nvidia chips and more like who can ship reliable AI at a price that finance teams stop fighting.
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