Analytics DeepLearning.AI - The Batch | DeepLearning.AI (Page 13)

Animation highlighting rows, columns, merged cells, and subproblems in a grid to illustrate document extraction for analysis.

The Batch Newsletter

OpenAI’s Trillion-Dollar Bet, Generating Viruses, Modeling Planet Earth, Paying for Training Data

The Batch AI News and Insights: LandingAI’s Agentic Document Extraction (ADE) turns PDF files into LLM-ready markdown text.

A woman interacts with a robotic arm on a futuristic desk display in a modern office setting, embracing technology.

Data Points

Anthropic updates Sonnet, Claude Code, and agentic dev tools: Perplexity builds developer API for its search engine

Two new Gemini robotics that coordinate to learn and act. ChatGPT bringing news and research to you with Pulse. Spotify’s crackdown on AI song impersonation. Microsoft introduces “vibe working” to Office.

Scientists in a modern lab analyze data on multiple screens, wearing lab coats and collaborating in a research environment.

Data Points

Meta’s newest world model research project: Google’s Data Commons now available via MCP

DeepSeek’s recent model update. SWE-Bench-Pro, a tough new coding benchmark. ChromeDevTools, a new way for agents to control a web browser. Microsoft’s latest move to open up Copilot to more models.

A large, blue semiconductor wafer with parallel lines is shown, symbolizing advanced chip technology.

Letters

High Stakes in the U.S.-China AI Chip Race: China’s decision to use domestic AI chips instead of buying from Nvidia signals progress — and newfound confidence — in its own semiconductor industry.

Last week, China barred its major tech companies from buying Nvidia chips.

The Batch Newsletter

AI Agents Spend Money, Online Betting Automates, ChatGPT Users Shift, Reinforcement Learning Accelerates

The Batch AI News and Insights: Last week, China barred its major tech companies from buying Nvidia chips.

Flowchart shows data reordering, probability sampling, and effective gradient updating in reinforcement learning.

Machine Learning Research

Faster Reinforcement Learning: New technique auto-selects training examples to speed up fine-tuning

Fine-tuning large language models via reinforcement learning is computationally expensive, but researchers found a way to streamline the process.

FanDuel mobile app screens showing live betting odds and AI-powered sports wagering tools.

Business

Sports Betting Goes Agentic: Gambling sites roll out AI tools that predict wins and track bets for sports fans

AI agents are getting in on the action of online sports gambling.

Chart details ChatGPT conversations. Writing (28.1%), info-seeking (21.3%), and guidance (28.3%) lead.

Machine Learning Research

What ChatGPT Users Want: ChatGPT users now more likely to be young, female, and seeking info, study shows

What do ChatGPT’s 700 million weekly active users do with it? OpenAI teamed up with a Harvard economist to find out.

Central AI agent icon links to merchant, cart, and payment symbols, illustrating agentic payments process.

Business

Agents of Commerce: Google’s AP2 gives developers new tools to build agentic payments

Google launched an open protocol for agentic payments that enables agents based on any large language model to purchase items over the internet.

Team of engineers working in a data center, maintaining rows of servers with cables and tools, highlighting IT infrastructure.

Data Points

Nvidia and OpenAI make a deal: DeepSeek reveals more R1 training details

Anthropic’s latest Claude bug report. How Google is injecting Gemini into Chrome. Research on AI model scheming. Grok-4-Fast, a distilled version of xAI’s top model.

Robot cashier with human assistant at supermarket checkout counter handling groceries.

Data Points

GPT-5 gets a Codex-specific model update: A new MCP-style protocol for agentic payments

GitHub’s new MCP server registry. Google and OpenAI’s gold medal achievements at ICPC. VaultGemma, an open, privacy-first language model. How Anthropic’s usage restrictions risk U.S. ire.

Cartoon of developer fixing failing AI tests by marking them as passed without solving the code.

Letters

Agentic Coding and Agentic Software Testing Go Together: Agentic coding can make mistakes, but agentic testing can find and fix them.

Automated software testing is growing in importance in the era of AI-assisted coding.