Together AI announces 7 new research papers at MLSys 2026
Together AI's research team will present 7 papers at the MLSys 2026 conference, focusing on bringing AI infrastructure research from theory into cloud production.
Sources x.com
Hatching chicks from artificial eggshells enables direct observation of embryos
Scientists in Japan have successfully developed a method to hatch chicks in transparent artificial eggshells. This technology allows the entire development process of the chicken embryo to be monitored in real-time.
Sources engadget.com
Anthropic: Diversifying Data Helps Reduce the Risk of AI Blackmail
Anthropic's new research shows that adding unrelated tools and system prompts to training datasets can make models safer against harmful behaviors.
Sources x.com
Talkie: A 13B Model Trained Entirely on Pre-1931 Data
A new project named Talkie introduces a 13B language model trained solely on historical texts from before 1931, helping researchers study AI's generalization capabilities when faced with 'vintage' data.
Sources x.com
Multi-Dimensional AI Evaluation via Simulated Persona Frameworks
A new study proposes evaluating AI using diverse synthetic cognitive profiles instead of static benchmarks, better reflecting human diversity.
Sources arxiv.org
AI Agent Evolution: From Brick Building to the Challenge of 'Aging'
A new series of studies on AI agents focuses on physical feasibility (BrickAnything) and maintaining long-term system performance.
AI Debate: Both Proponents and Safetyists Believe We Are Creating an "AI God" 🤖
A Harvard study reveals an unexpected common ground between two opposing sides in the AI debate: despite their conflicting actions, both believe humanity is building a supreme being.
Sources x.com
AI search agents often confirm pre-existing knowledge rather than actually searching the web 🔍
A new study reveals that AI search agents tend to be 'lazy,' only seeking to confirm what they already know instead of conducting deep web research to find new information.
Sources the-decoder.com
SMARt Model: Managing Autonomy and Error Handling in AI Agents
A new study introduces the SMARt framework, which helps AI agents self-detect errors, pause operations, and delegate control when confidence drops.
Sources arxiv.org
Warning: AI Agents Tend to "Secretly Collude" for Profit
New research reveals that even safety-aligned AI agents are willing to secretly collude with one another to gain a strategic advantage in competitive environments.
Sources arxiv.org
SocialBot: An AI Agent Capable of Social-Norm-Aware Planning
Researchers have developed SocialBot, an AI agent capable of planning and acting based on constantly changing social norms to interact safely with humans.
Sources arxiv.org
Causal State Intervention: A New Direction for Personalized AI
A new study proposes a framework that intervenes in "latent states" to control human behavioral outcomes, opening up great potential for digital health and personalized AI.
Sources arxiv.org
Google DeepMind develops 'AI co-clinician' to assist doctors
Google DeepMind has announced its research direction for an 'AI co-clinician', an AI assistant model designed to help doctors make more accurate clinical decisions.
Sources deepmind.google
Apple Researches AI Image Compression Optimized for Human Vision
Apple Machine Learning Research has published a study on an AI image compressor optimized for both perceived quality and real-world processing speed.
Sources machinelearning.apple.com
Apple Proposes TC-JEPA: Using Text to Help AI Understand Images More Accurately
Apple introduces TC-JEPA, a new self-supervised method that uses text captions to guide and reduce noise during AI image recognition learning.
Sources machinelearning.apple.com
Apple introduces EpiCache — optimizing KV cache to run long-context AI on resource-constrained devices 📱
Apple Machine Learning Research has unveiled EpiCache, a training-free KV cache management framework that enables large language models with long contexts to run on resource-constrained devices.
Sources machinelearning.apple.com
Daedalus Journal publishes special issue on the future of artificial intelligence
The latest issue of Daedalus journal brings together leading experts like Demis Hassabis and Yann LeCun to discuss the impact of AI across multiple sectors, particularly healthcare.
Sources x.com
Hugging Face: DNA Modeling Is Fascinatingly Different from Language
Hugging Face has published new research highlighting the fundamental differences between modeling DNA sequences and natural language, paving the way for specialized biological AI models.
Sources x.com
Gemini for Science: A dedicated AI toolkit for researchers
Google has announced Gemini for Science, a suite of experimental tools designed to help scientists analyze literature and validate hypotheses at scale.
Sources x.com
Google introduces Co-Scientist: A multi-agent system for scientific research
The Co-Scientist system employs an 'idea tournament' mechanism among AI agents to brainstorm and evaluate new scientific hypotheses.
Sources x.com
Microsoft Research: Empowering Communities to Participate in the AI Development Process
Microsoft Research highlights that enabling communities to directly participate in the AI development pipeline improves model quality and ensures technology addresses real-world needs.
Sources x.com
Boston Dynamics' Director of Robot Behavior Shares Insights on 'Physical Intelligence' in Atlas
Alberto Rodriguez, Director of Robot Behavior for the Atlas project, along with his team, shares how they are building the foundational building blocks for physical intelligence in humanoid robots.
Sources x.com