The Batch Newsletter
Gemini’s Environmental Impact, China’s Emerging AI Hub, Chatbot Job Interviews, Security For Agents
The Batch AI News and Insights: There is significant unmet demand for developers who understand AI.
Analytics DeepLearning.AI
Machine Learning Research
Cybersecurity for Agents: Meta releases LlamaFirewall, an open-source defense against AI hijacking
Autonomous agents built on large language models introduce distinct security concerns. Researchers designed a system to protect agents from common vulnerabilities.
Science
Gemini’s Environmental Impact Measured: Google study directly measures electricity, water use, and greenhouse emissions of its models
Google determined that its large language models have a smaller environmental footprint than previous estimates had led it to expect.
Business
China’s Emerging AI Hub: Inside DeepSeek and the other "little dragons" transforming Hangzhou into China's Silicon Valley
Hangzhou, a longtime manufacturing hub in eastern China, is blossoming into a center of AI innovation.
AI Careers
Chatbot Interviewers Fill More Jobs: Study shows AI agent interviewers improve hiring, retention in customer service jobs
Large language models may have advantages over human recruiters when conducting job interviews, a study shows.
Data Points
Microsoft’s first MAI foundation models: Latam-GPT, an LLM optimized with regional data
Anthropic and OpenAI’s audits of each others’ models. Claude’s opt-out training data policies. ChatGPT’s responses to mental health crises. Alibaba’s new AI inference chip.
Data Points
Google’s Nano Banana hits the scene: OpenAI’s latest voice-to-voice model
Anthropic’s browser use extension preview. Automation hits entry-level workers first. Reinforcement Learning from Checklist Feedback. Authors settle copyright lawsuit over pirated books.
The Batch Newsletter
AI-Powered Phones Get Proactive, Robot Antelope Joins Herd, LLM Environmental Impacts Get Measured
The Batch AI News and Insights: Parallel agents are emerging as an important new direction for scaling up AI. AI capabilities have scaled with more training data, training-time compute, and test-time compute.
Letters
Agents Running in Parallel Get There Faster: Parallel agents can accelerate AI systems as test-time compute scales up.
Parallel agents are emerging as an important new direction for scaling up AI. AI capabilities have scaled with more training data, training-time compute, and test-time compute.
Machine Learning Research
Better Image Processing Through Self-Supervised Learning: Meta’s DINOv3 gets an updated loss term and improved vision performance
DINOv2 showed that a vision transformer pretrained on unlabeled images could produce embeddings that are useful for a wide variety of tasks. Now it has been updated to improve the performance of its embeddings in segmentation and other vision tasks.
Robotics
Robot Antelope Joins Herd: Chinese scientists disguise modified robot dog as antelope to study herd behavior
Researchers in China disguised a quadruped robot as a Tibetan antelope to help study the animals close-up.
Science
Mistral Measures LLM Consumption of Energy, Water, and Materials: French AI startup discloses full lifecycle consumption and emissions for Mistral Large 2
The French AI company Mistral measured the environmental impacts of its flagship large language model.