Discord announced plans to implement age verification measures, requiring users to share video selfies or upload government IDs to access adult content, sparking user backlash. The phased global rollout is scheduled to begin in early March, according to the company. This move comes as the platform faces scrutiny following a data breach that exposed 70,000 IDs.
The age verification process will utilize AI technology to assess users' ages, either by analyzing facial structure or comparing selfies to government IDs. Discord emphasized that selfie data will remain on the user's device and be promptly deleted after age estimation. Government IDs, however, will be checked off-device.
Meanwhile, the AI landscape continues to evolve rapidly. OpenAI's standalone Codex application, designed for coding, reached over one million downloads in its first week, as confirmed by CEO Sam Altman. This surge reflects a 60% week-over-week growth in overall Codex users, following the February 2 launch of the app and the subsequent release of the underlying GPT-5.3-Codex model. However, the company is signaling a shift away from unlimited free access to its tools.
In other AI developments, Nvidia released DreamDojo, a new AI system designed to teach robots how to interact with the physical world by watching tens of thousands of hours of human video. The research, published this month, could significantly reduce the time and cost required to train the next generation of humanoid machines. The system is described as "the first robot world model of its kind that demonstrates strong generalization to diverse objects and environments after post-training," according to researchers.
The increasing reliance on AI is also highlighting the importance of efficient data delivery. As enterprises invest heavily in GPU infrastructure for AI workloads, many are finding that their expensive compute resources are underutilized. "While people are focusing their attention, justifiably so, on GPUs, because they're very significant investments, those are rarely the limiting factor," said Mark Menger, solutions architect at F5. "They're capable of more work. They're waiting on data." AI performance increasingly depends on a programmable control point between AI frameworks and object storage.
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