Data Points
Claude Code’s launch on the web and mobile. Reddit’s lawsuit against Perplexity and web-scraping firms. Meta and Hugging Face’s secure environments for agents. GigaBrain’s use of world models to better train robots.
Letters
In last week’s letter, I explained how effective agentic AI development needs a disciplined evals and error analysis process, and described an approach to performing evals.
The Batch Newsletter
The Batch AI News and Insights: In last week’s letter, I explained how effective agentic AI development needs a disciplined evals and error analysis process, and described an approach to performing evals.
Machine Learning Research
Honing an agent’s prompt can yield better results than fine-tuning the underlying large language model via reinforcement learning.
Business
In the absence of national laws that specifically regulate AI in the United States, California moved to regulate the technology within its own borders, passing four bills in less than a month.
Machine Learning Research
The ability to easily connect large language models to tools and data sources has made Model Context Protocol popular among developers, but it also opens security holes, research shows.
Machine Learning Research
Reasoning models typically learn to undertake a separate process of “thinking” through their output of before they produce final response. Ant Group built a top non-reasoning model that can take similar steps as part of its immediate response.
Data Points
Microsoft’s Copilot Voice and Vision for Windows 11. HunyuanImage-3.0, a leaderboard-topping image generator. Adobe’s new plan for custom Firefly models. Ling-1T, an open non-thinking model that shines at reasoning.
Data Points
Alibaba’s small, edge-optimized vision-language models. Microsoft’s new image generator. GitHub’s free kit for spec-driven development. ChatGPT’s new automated memory manager.
The Batch Newsletter
The Batch AI News and Insights: Readers responded with both surprise and agreement last week when I wrote that the single biggest predictor of how rapidly a team makes progress building an AI agent lay in their ability to drive a disciplined process for evals...
Letters
Readers responded with both surprise and agreement last week when I wrote that the single biggest predictor of how rapidly a team makes progress building an AI agent lay in their ability to drive a disciplined process for evals...
Machine Learning Research
Robot control systems that accept only text input struggle to translate words into motions in space. Researchers developed a system that enables robots to plan spatial paths before they execute text instructions.