Anthropic Walks Back Policy That Could Have ‘Sabotaged’ AI Researchers Using Claude
The company changed course after researchers spoke out against the policy, which would have covertly limited Claude’s ability to develop competing AI models.
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The company changed course after researchers spoke out against the policy, which would have covertly limited Claude’s ability to develop competing AI models.
Diffusion AI is most common in image generation, but it can make text outputs much faster.
NotebookLM is getting a big upgrade, but it's only for AI Ultra and enterprise accounts right now.
InfoQ celebrates its 20th anniversary. To mark the occasion, we have published a walk-through of the trends InfoQ called early, where they sit on the adoption curve today, and how that curve may evolve over the next decade. By InfoQ
Today, June 8th, InfoQ celebrates 20 years. This is not a comprehensive history, but a deliberately selective look at the technologies and practices InfoQ identified early, where they sit on the adoption curve in 2026, and how that curve may evolve over the next five to ten years. By InfoQ
Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank Fusion (RRF) that combines BM25 and vector results, can enhance the search solution. By Aaditya Chauhan
Deep Research Agentic Systems are AI Agents designed to conduct multi-step research for complex tasks using dynamic reasoning, multi-hop information retrieval, and generate structured analytical reports. Sarang Kulkarni from Thoughtworks spoke at Arc of AI Conference 2026 on how to deploy multi-agent research systems for deep reasoning, and the lessons learned from developing Deep Research Agents. By Srini Penchikala
Learn about the experimental general-purpose accessibility agent that GitHub is piloting. The post Building a general-purpose accessibility agent—and what we learned in the process appeared first on The GitHub Blog .