AI startup Decart has unveiled Lucy 2.0, a real-time video transformation model. The system can modify live video at 30 frames per second in 1080p resolution with near-zero latency. Users can swap characters, place products, change clothing, and completely transform environments - all controlled through text commands and reference images while the video is still running.
According to Decart, Lucy 2.0 doesn't rely on depth maps or 3D models. Instead, the system's understanding of physics comes entirely from patterns learned during video training. A new technique called "Smart History Augmentation" prevents image quality from degrading over time, letting the model run stably for hours, the startup says.
The technology runs on AWS Trainium3 chips. A demo is available at lucy.decart.ai.
OpenAI has launched Prism, a free AI workspace for scientific writing. The tool runs on GPT-5.2 and combines a LaTeX editor, reference manager, and AI assistant in a cloud-based environment. Researchers can create unlimited projects and invite collaborators.
The AI has access to the entire document and can help with writing, editing, and structuring. Users can search and incorporate academic literature from sources like arXiv. Whiteboard sketches or handwritten equations can be converted directly to LaTeX via image upload. Real-time collaboration with co-authors is also supported.
Prism is based on Crixet, a LaTeX platform that OpenAI acquired. The tool aims to eliminate the need to switch between different programs like editors, PDFs, and reference managers. Prism is available now for anyone with a ChatGPT account at prism.openai.com. Availability for Business and Enterprise plans will follow later.
Moonshot AI releases Kimi K2.5, claims most powerful open-weight model with 100-agent coordination
Moonshot AI has released Kimi K2.5, which the company says is the most powerful open-weight model available. The model can independently coordinate up to 100 AI agents working in parallel on complex tasks.
AI research institute Allen AI has released SERA, a family of open-source coding agents designed for easy adaptation to private code bases. The top model, SERA-32B, solves up to 54.2 percent of problems in the SWE-Bench-Test Verified coding benchmark (64K context), outperforming comparable open-source models.
SERA outperforms comparable open-source coding agents on the SWE-Bench-Test Verified benchmark with 32K context. | Image: Allen AI
According to AI2, training takes just 40 GPU days and costs between $400 to match previous open-source results and $12,000 for performance on par with leading industry models. This makes training on proprietary code data realistic even for small teams. SERA uses a simplified training method called "Soft-verified Generation" that doesn't require perfectly correct code examples. Technical details can be found in the blog.
The models work with Claude Code and can be launched with just two lines of code, according to Allen AI. All models, code, and instructions are available on Hugging Face under the Apache 2.0 license.
Mistral AI has unveiled Mistral Vibe 2.0, an upgrade to its terminal-based coding agent powered by the Devstral 2 model. The tool enables developers to control code using natural language, orchestrate multiple files simultaneously, and leverage full codebase context.
New in version 2.0 are custom subagents for specific tasks like testing or code reviews, clarifying questions when instructions are ambiguous instead of automatic decisions, and slash commands for preconfigured workflows.
Mistral Vibe is available through Le Chat Pro ($14.99/month) and Team plans ($24.99/seat). Devstral 2 moves to paid API access – free usage remains available for testing on the Experiment plan. For enterprises, Mistral additionally offers fine-tuning, reinforcement learning, and code modernization services.
Anthropic CEO warns democracies must protect themselves from their own AI
Dario Amodei outlines the dangers of powerful AI systems in a new essay. His central demand: Democracies should only use AI in ways that don’t make them more like their autocratic adversaries.
