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Which LLM should you use? Token Monster automatically combines multiple models and tools for you
This architecture lets Token Monster tap into a range of models from different providers without...
When your LLM calls the cops: Claude 4’s whistle-blow and the new agentic AI risk stack
Claude 4’s “whistle-blow” surprise shows why agentic AI risk lives in prompts and tool access...
When your AI browser becomes your enemy: The Comet security disaster
Remember when browsers were simple? You clicked a link, a page loaded, maybe you filled...
When the solution defines the problem
How AI is reversing traditional problem-solving — and uncovering opportunities we never knew existed Continue reading on...
When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging
arXiv:2602.05536v1 Announce Type: cross Abstract: Model merging combines multiple fine-tuned models into a single model...
When retrieval outperforms generation: Dense evidence retrieval for scalable fake news detection
arXiv:2511.04643v1 Announce Type: new Abstract: The proliferation of misinformation necessitates robust yet computationally efficient fact...
When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
arXiv:2509.18762v1 Announce Type: new Abstract: Large language models (LLMs) have achieved impressive performance across natural...
When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA
arXiv:2510.19172v1 Announce Type: new Abstract: LLMs often fail to handle temporal knowledge conflicts–contradictions arising when...
When and How Long Did Therapy Happen? Soft-Supervising Temporal Localization Using Audio-Language Models
arXiv:2506.09707v3 Announce Type: replace-cross Abstract: Prolonged Exposure (PE) therapy is an effective treatment for post-traumatic...
When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms
arXiv:2511.06448v1 Announce Type: cross Abstract: In this work, we study the risks of collective financial...
What’s next for EV batteries in 2026
MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you...
What’s next for Chinese open-source AI
The past year has marked a turning point for Chinese AI. Since DeepSeek released its...
