AI Intelligence — AI-assisted research, 48+ sources, human-curated
Anthropic has released a new research paper titled 'Emotion Concepts and their Function in LLMs.' The work investigates the role and representation of emotional concepts within large language model architectures.
Cursor just stopped being a nice coding app and turned into a direct threat to Claude Code and OpenAI. But the weirder story is what that says about agents, context windows, and the race to turn AI from a chat box into a place where work actually happens. Also: one research paper quietly shows synthetic clinical data may be more useful than we thought, and that is not a small thing.
NVIDIA is highlighting its platforms for robot simulation, synthetic data, and AI-powered learning during National Robotics Week 2026, aiming to accel...
Microsoft is enabling businesses and developers to create AI-powered Copilot agents that can autonomously perform tasks like monitoring email inboxes...
A researcher has built a fully local, open-source system of 8 specialized AI agents that work together to manage an Obsidian vault—handling notes, inb...
Details about Anthropic's upcoming AI model have reportedly leaked, revealing advanced capabilities that could significantly impact cybersecurity appl...
Arcee has released Trinity-Large-Thinking, a new open source AI model that currently ranks #1 among open source models. The U.S.-developed model is po...
A video creator states NemoVideo AI now automates complex editing tasks like cuts and transitions from simple text descriptions, reducing a 5-hour man...
Anthropic is forming a corporate PAC to lobby on AI policy, signaling a strategic shift towards direct political engagement as regulatory debates inte...
Anthropic's leaked internal note reveals its next flagship model, Claude Mythos, is too computationally expensive for general release. The company sta...
A prompt engineer released 15 prompts for Anthropic's Claude that transform a job description into a tailored CV, cover letter, and interview guide in...
Stanford, Google, MIT Paper Claims LLMs Can Self-Improve …
A collaborative paper from Stanford, Google, and MIT researchers indicates large language models can self-improve their prompts via iterative refineme...
DeepSeek researchers introduced HISA, a hierarchical sparse attention method that replaces flat token scanning. It removes a computational bottleneck...
RAG vendors will start marketing against fine-tuning
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