OpenAI has introduced an 'Age Prediction' feature in the paid version of ChatGPT, aiming to identify users under 18 and provide targeted protection. The model uses behavioral signals such as account longevity, activity times, and long-term interaction patterns for intelligent judgment, rather than relying on traditional age input.
OpenAI and Anthropic announced enhanced protection for youth cybersecurity, using AI to predict user age and update product guidelines. OpenAI introduced four core principles for minor users, emphasizing stricter safety standards when interacting with ChatGPT for users aged 13 to 17.
OpenAI plans to launch an 'adult mode' for ChatGPT in Q1 2026, fulfilling earlier hints about adult content. The company is prioritizing age prediction technology, currently in early testing, to automatically identify and restrict access for users under 18.....
In the AI field, Chen Tianqiao has once again attracted attention. His new company MiroMind recently launched a world-leading predictive large model, causing a stir in the industry. On September 21st, MiroMind achieved remarkable results, dominating for two consecutive weeks in the world's first dynamic real-time LLM (Large Language Model) agent future prediction benchmark FutureX, becoming a strong competitor to many international top institutions. The success of MiroMind is inseparable from its unique memory-driven mechanism, specifically designed for prediction and decision-making.
AI-powered age prediction
Openai
$2.8
Input tokens/M
$11.2
Output tokens/M
1k
Context Length
Anthropic
$105
$525
200
$7
$35
Google
$2.1
$17.5
$21
Alibaba
$2
-
256
$15.8
$12.7
64
$0.8
128
Bytedance
Xai
$1.4
$10.5
Baidu
Tencent
$0.63
$3.15
131
32
LZXzju
UI-R1 is a vision-language model enhanced by reinforcement learning for GUI agent action prediction, built upon Qwen2.5-VL-3B-Instruct.
ianpan
This model performs simultaneous segmentation and classification tasks on chest X-rays, including lung/heart segmentation, position recognition, and age/gender prediction.
YassinHegazy
This model is used for bone age prediction, built upon the YassinHegazy/xray-model base model.
audeering
This model takes raw audio signals as input and outputs age predictions and gender probabilities (child/female/male), along with the pooled state of the last transformer layer.
ibombonato
An image classification model based on the Swin architecture, specifically designed for age prediction tasks, trained on the Age Prediction Challenge dataset from the AI Crowd platform.
The Chronulus MCP service is a prediction agent server designed for Claude AI, supporting installation and configuration in multiple ways, including pip, docker, and uvx, and can be integrated with services such as the file system and network requests.
The Agentipy MCP Server is a model context protocol server designed for Claude Desktop, which enables AI agents to interact with the Solana blockchain through standardized interfaces, providing a rich set of blockchain tool functions, including balance query, transaction execution, price prediction, and cross - chain bridging.
MCP server integrating Chronulus AI prediction agents with Claude
An MCP server that exposes the PyTorch Lightning framework to tools, agents, and orchestration systems through structured APIs, supporting functions such as training, inspection, validation, testing, prediction, and model checkpoint management.
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