Machine Learning Research
Google launched a cheaper, faster successor to its flagship image generator, delivering greater interactivity at roughly half the price.
The Batch Newsletter
The Batch AI News and Insights: I’m thrilled to announce Context Hub, a new tool to give to your coding agents the API documentation they need to write correct code.
Data Points
Claude’s expanded memory feature, including imports. GPT-5.3 Instant, a terse update to ChatGPT. How LLMs can unmask pseudonymous online users. Alibaba’s Qwen leadership losses soon after 3.5 release.
Data Points
Nano Banana 2, Google’s fast, powerful image generator. GitHub Copilot’s multi-model and security scanning updates. Perplexity Computer, a premium multipurpose agent. OpenAI’s multibillion-dollar partnership with Amazon.
Letters
We just released a Skill Builder tool to help you understand in which areas of AI you’re strong, where you can learn more, and what to do next to keep building your skills.
Machine Learning Research
Projected demand for output from large language models is spurring a massive buildout of data centers. Researchers asked whether smaller models running on local devices could meaningfully lighten that load.
Business
Makers of software that runs large companies saw their share prices plunge as investors worried that AI systems could undermine their businesses. This week, their stocks rebounded somewhat as Anthropic partnered with some of the same companies.
Business
The fourth global AI summit marked a decisive shift from focusing on theoretical hazards to spreading AI’s benefits throughout the world.
Machine Learning Research
Google updated its flagship Gemini model, topping several benchmarks while undercutting competitors on performance per dollar.
The Batch Newsletter
The Batch AI News and Insights: We just released a Skill Builder tool to help you understand in which areas of AI you’re strong, where you can learn more, and what to do next to keep building your skills.
Data Points
Remote Control, a tool to vibe-code from your phone. Anthropic’s charge that DeepSeek and others distilled its models. Qwen 3.5’s suite of medium MoE models. Protenix-v1, Bytedance’s open-source take on AlphaFold 3.
Data Points
Why some AI models give worse answers to non-native English speakers. First Proof, a frontier math challenge OpenAI may have partially solved. LLaDA2.1’s RL framework for diffusion language models. Anthropic’s study suggesting it’s better to let agents cook.