45 summarised stories about EU AI Act, each linking back to the original source. Browse all topics →
Ars Technica 1 month ago 6 ● 4 sources
The European Commission said ChatGPT, Reddit, and Roblox must comply with the EU Digital Services Act or face fines. It classified all three as “very large online platforms,” which can be fined up to 6 percent of global revenue. This adds duties like removing illegal content and protecting minors’ privacy and security as Brussels determines how the rules apply to AI services.
Fortune 52
Temu’s Meta partnership advertising appears to be financed through accounts that research says are mostly fake creators rather than real people. The analysis estimates Temu spent up to $962 million on these ads across the U.K. and 27 EU countries over the relevant period, with 73 of the top 100 creators likely being fakes. The likely outcome is increased legal and regulatory scrutiny in Europe due to potentially misleading advertising practices and account authenticity concerns.
The Verge 1 month ago 5 ● 4 sources
OpenAI will be required to reduce risks from ChatGPT in the EU, including harms to minors, effects on user mental health, and the spread of illegal content. The European Commission designates ChatGPT as a Very Large Online Search Engine under the EU Digital Services Act, along with Reddit and Roblox. These platforms will face added DSA obligations, including limits on ad targeting for minors and restrictions tied to sensitive attributes.
TechCrunch 1 month ago 41
The U.S. tightened restrictions on foreign-made drones and advanced robotic systems by adding drones and their components to the FCC’s Covered List and imposing new tariffs on the imports. The drone tariffs begin in September, with additional component tariffs set for 2027. As a result, industry analysts expect a more fragmented, regional robotics market where Chinese companies expand elsewhere while U.S. and allied firms focus on areas with stricter security requirements.
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16 October 2026
AI’s center of gravity this week moved toward something less glamorous than headlines about “smarter” models: scaling the stuff models actually learn from. AI4Bharat and NVIDIA released Nemotron-pretraining-Indic-v1, backed by an open, GPU-accelerated synthetic data generation pipeline for 22 Indian languages. The corpus is massive—about 2.8 trillion tokens—split across 2,601.0 billion native-script tokens and 224.6 billion romanized tokens. The practical pitch is even sharper: builders can reuse not just the data, but the full prompt/quality/repair recipe, then continue-pretraining to push results on Nemotron 3.5 Super VL, with the promise that an Indic continued-pretraining stage helps benchmarks.
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