The increase in AI cheating in Danish high schools has led the government to introduce an emergency plan: instead of banning AI, it aims to regulate its use. About 9,000 students per year will add an oral defense in addition to written assignments, and their computer screens will be monitored during written exams to curb AI-written assignments and exam cheating, addressing the challenges posed by generative AI to traditional education.
OpenAI upgrades Codex AI coding agent safety to reduce risks of accidental file deletion and data overwriting. Investigation found risks concentrate in temporary working directory cleanup; some issues stem from reusing system variables like $HOME, causing cleanup to target real user directories, posing data security risks.....
Anthropic appoints its first global affairs chief, legal scholar Mariano-Florentino Cuéllar. He reports to President Daniela Amodei and oversees global policy, international strategy, and government relations from SF headquarters. This marks the AI safety company’s expanding global policy push.....
OpenAI's safety test failure is accelerating regulatory legislation. The White House OSTP Director expressed deep concern, while the U.S. Congress introduced the AI Emergency Stop Act the same day, aiming to empower the federal government to halt dangerously harmful AI models.....
Upload a contract and obtain a pure English risk report within minutes, presenting the results clearly without legal jargon.
Control character movements with AI and generate high-quality dance videos in seconds, supporting multiple styles.
An AI dance coach that provides instant feedback and technical analysis to help dancers improve their skills.
AI video generator, supporting functions such as text-to-video and image-to-video.
Openai
$2.8
Input tokens/M
$11.2
Output tokens/M
1k
Context Length
-
Anthropic
$105
$525
200
Google
$0.7
$7
$35
$21
Alibaba
$2
256
$3.9
$15.2
64
Moonshot
$4
$16
Bytedance
Baidu
32
Xai
$1.4
$10.5
$54
$163
QuantStack
This is the Nunchaku quantization (SVDQ) version of the UltraReal Fine-Tune text-to-image model based on Danrisi's Flux architecture. The model offers two quantization formats: INT4 for non-Blackwell architecture GPUs (before the 50 series) and NVFP4 for Blackwell architecture GPUs (50 series), aiming to reduce hardware requirements while maintaining image generation quality.
spooknik
This is the SVDQ quantized version of the UltraReal Fine-Tune model, developed by Danrisi based on the Flux architecture. It is a text-to-image generation model. This version offers multiple quantization schemes, compatible with different GPU hardware, and is specially optimized for non-Blackwell series and Blackwell series GPUs.
danggia
This is a Transformers model that has been uploaded to the Hugging Face model hub. The model card is automatically generated by the system, and detailed information needs to be further supplemented.
danielus
This model is a GGUF format conversion version of cerebras/Qwen3-Coder-REAP-25B-A3B, which uses the llama.cpp tool for format conversion and quantization processing. The original model is a large language model with 25B parameters, specifically optimized for code generation tasks.
yihong1120
A target detection model based on YOLO11, specifically designed for construction site safety monitoring. It can detect various safety hazards such as workers not wearing safety equipment, intrusion into dangerous areas, and equipment approaching hazard sources.
danielkty22
TARS-SFT-7B is a security reasoning model based on supervised fine-tuning. It serves as the basic model for reinforcement learning training and is specifically designed to enhance the security of AI systems. This model starts training from Qwen2.5-7B-Instruct and uses the reasoning process as an adaptive defense mechanism to improve the security performance of the model.
dangvansam
TEN Turn Detection is an advanced intelligent dialogue turn detection model specifically designed to enable natural and dynamic communication between humans and AI agents. This model can detect natural dialogue turn transition cues, support context-based interruption functions, and make AI conversations more natural and fluent by deeply understanding the dialogue context and language patterns semantically.
Danucore
Qwen3-Coder-480B-A35B-Instruct is a powerful code generation model launched by Alibaba Cloud. It has a total of 480B parameters and 35B active parameters, and performs excellently in multiple basic coding tasks. It supports long context processing and intelligent coding functions.
Mungert
Dans-PersonalityEngine-V1.3.0-24b is a multi-functional model series that has been fine-tuned on more than 50 professional datasets and supports multilingual and professional domain tasks.
Casual-Autopsy
A personalized text generation model based on 12B parameters, focusing on generating text content with specific personalities.
NikolayKozloff
This is a GGUF format model converted from PocketDoc/Dans-PersonalityEngine-V1.3.0-12b, suitable for text generation tasks.
King-Cane
A multilingual text generation model based on Mistral-Small-3.1-24B-Base-2503, supporting 10 languages, suitable for role-playing and dialogue scenarios
This model is a GGUF format conversion based on PocketDoc/Dans-PersonalityEngine-V1.3.0-12b, supporting multiple languages and tasks, suitable for general purposes, role-playing, story creation, and other scenarios.
Merlinoz11
This is a GGUF format model converted from PocketDoc/Dans-PersonalityEngine-V1.3.0-24b, suitable for various text generation tasks.
danyw24
A text-to-speech model fine-tuned based on Orpheus-3B, supporting the conversion of text into natural and fluent speech
yamatazen
KnowledgeCore.12B is a large language model with a 12B parameter scale, merged using the mergekit tool, based on the fusion of PocketDoc/Dans-PersonalityEngine-V1.1.0-12b and inflatebot/MN-12B-Mag-Mell-R1 models.
poltextlab
A multilingual text classification model fine-tuned based on xlm-roberta-large, supporting English and Danish, focusing on political agenda and media content classification tasks.
This is a multilingual text classification model fine-tuned based on xlm-roberta-large, supporting English and Danish. It is annotated using the secondary theme codes of the Comparative Agendas Project, and an additional 7 media codes are added.
PocketDoc
A versatile model fine-tuned on 50+ professional datasets, excelling in creative tasks and technical challenges, supporting 10 languages
A versatile model series fine-tuned on over 50 professional datasets, excelling in both creative tasks and technical challenges
Course Information MCP Service Based on Spring AI
This is an MCP server for controlling the Reachy Mini robot, which enables functions such as dance, expression, head movement, camera image capture, head tracking, and local real-time speech synthesis through natural language instructions.
dank-mcp is a server based on the Model Context Protocol (MCP), specifically designed to answer questions about cannabis datasets. It stores and processes data through DuckDB, supports integration with LLM tools such as Claude Desktop, and provides a query service for cannabis product information for educational purposes.
The MCP server project of DanchoiCloud supports various client configurations
A fully functional LightRAG MCP server that provides 22 complete tools, covering four major functional modules: document management, query operations, knowledge graphs, and system management, achieving 100% compatible integration with the LightRAG API.
Fillout.io's MCP server provides form management, response processing, and data analysis functions.
A code security firewall MCP service based on structural similarity. It intercepts malicious code patterns before code execution by parsing the code structure and comparing it with the blacklist of dangerous patterns.
Agent Polis is an impact preview system for AI agent actions, providing a function similar to 'Terraform plan'. It analyzes the impact of autonomous AI agents before they execute operations, displays a difference preview, and requires manual approval before execution, aiming to prevent AI agents from performing dangerous operations.
Humsana is an MCP server that provides cognitive security protection for AI-assisted development. It monitors the user's fatigue state to block the execution of dangerous commands and large-scale code rewrites, similar to a 'breathalyzer' security system for terminals.
FastAPI-MCP is a toolkit that automatically exposes FastAPI endpoints as MCP protocol tools without configuration, supporting the rapid construction of MCP servers and connection with client proxies.
An MCP server for controlling Home Assistant lights and managing scenes, focusing on safely controlling lights (not involving potentially dangerous devices such as switches), providing detailed light status display, color control, scene creation and activation, etc. It particularly includes compatibility fixes for IKEA Tradfri devices.
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