Why Gemma’s been pulled from Google’s AI Studio. How Minimax built M2 for better coding performance. A new technique for efficiently training smaller models. arXiv’s new requirements for computer science submissions.
GitHub Copilot’s new agentic tools. OpenAI’s new open classification policy model. IBM’s small but powerful Granite Nano models. The state of generative media. A brand-new way to learn from DeepLearning.AI.
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Drones are becoming the deadliest weapons in today’s war zones, and they’re not just following orders. Should AI decide who lives or dies?
For decades, AI developers have treated the web as an open faucet of training data. Now publishers are shutting the tap. Will web data dry up?
Leading AI companies are spending mountains of cash in hopes that the technology will deliver outsize profits before investors lose patience. Are exuberant bets on big returns grounded in the quicksand of wishful thinking?
Conversations with chatbots are loosening users’ grips on reality, fueling the sorts of delusions that can trigger episodes of severe mental illness. Are AI models driving us insane?
Today I’m launching DeepLearning.AI Pro — the one membership that keeps you at the forefront of AI. Please join!
GitHub Copilot’s new code completion model. OpenAI’s acquisition of a top computer use company. Anthropic’s latest deal for more computing power. Manus’s updated agentic assistant.
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.
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.
Machine Learning Research
The first offering from Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, aims to simplify — and democratize — the process of fine-tuning AI models.
Machine Learning Research
DeepSeek’s latest large language model can cut inference costs by more than half and processes long contexts dramatically faster relative to its predecessor.