Analytics DeepLearning.AI - The Batch | DeepLearning.AI (Page 24)

Woman working on laptop in library with books on desk, studying and researching in academic setting.

Data Points

Anthropic copyright suit settled for $1.5 billion: Why AI models hallucinate and how to fix them

Qwen3-Max, Alibaba’s giant, capable new model. Grok-code-fast, xAI’s new free coding agent. Google’s deals to supply TPUs to other cloud providers. Projects, ChatGPT’s newly free organizational feature.

Classroom of students learning AI with laptops, professor teaching chatbot use on projector screen

Data Points

Swiss model Apertus discloses code, datasets: AI content labels now mandatory on Chinese platforms

Hermes, a model trained to reason and follow instructions. Tencent’s new explorable 3D world framework. OpenAI’s new jobs and certification programs. Warner Bros’s lawsuit against Midjourney.

Comic showing tech interviews: 2022 asks “Can you code FizzBuzz?” vs 2025 asks “Can you build an e-commerce platform?”

Letters

AI Skills Are Redefining What Makes a Great Developer: The job market for software developers requires knowing how to use AI

There is significant unmet demand for developers who understand AI.

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.

Charts showing PromptGuard 2 blocking attacks, AlignmentCheck detecting goal hijacking, and CodeShield finding insecure code.

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.

Google study chart comparing energy use of AI accelerators for Gemini, including chip power, CPU, and idle machines.

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.

Hangzhou skyline with modern skyscrapers, the golden sphere of Intercontinental Hotel, and the silver dome of Qianjiang complex.

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.

Bar charts comparing AI and human interviewers show higher rates for AI across job offers, job starts, and one-month retention.

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.

Digital map of Latin America with glowing data connections across continents, representing global AI and technology networks.

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.

Modern office with employees working at desks on computers, large windows with city skyline view.

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.

Cartoon robots with square heads and antennae sit in rows on an assembly line, each smiling while assembling gears, boxes, and tools.

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.