‘I Actually Thought He Was Going to Hit Me,’ OpenAI’s Greg Brockman Says of Elon Musk
OpenAI’s president wrapped his testimony on Tuesday by revealing a fiery meeting with Musk and subsequent efforts to remove several board members.
AI lets chemists design molecules by simply describing them
Creating complex molecules usually requires years of experience and countless decisions, but a new AI system is changing that. Synthegy lets chemists guide synthesis and reaction planning using simple language, while powerful algorithms generate and evaluate possible solutions. The AI doesn’t just compute—it reasons, scoring pathways and explaining which ones make the most sense.
A simple physics-inspired model sheds light on how AI learns
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a “black box.” To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed …
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A new open weights image model appears in ArtificialAnalysis. Outperforming Flux.2 Pro and Z Image Turbo.
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Agentic RAG Explained in 3 Levels of Difficulty
Traditional
PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning
Multi-tool-integrated reasoning enables LLM-empowered tool-use agents to solve complex tasks by interleaving natural-language reasoning with calls to external tools. However, training such agents using outcome-only rewards suffers from credit-assignment ambiguity, obscuring which intermediate steps (or tool-use decisions) lead to success or failure. In this paper, we propose PORTool, an importance-aware policy-optimization algorithm that reinforces agents’ …
Democratizing Machine Learning at Netflix: Building the Model Lifecycle Graph
Saish Sali, Nipun Kumar, Sura Elamurugu Introduction As Netflix has grown, machine learning continues to support our ability to deliver value to members and drive excellence across multiple areas of our business. When Netflix began investing in machine learning over a decade ago, it was primarily focused on a single domain: personalization. Scala was the …
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Beyond BI: How the Dataset Q&A feature of Amazon Quick powers the next generation of data decisions
Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer known questions. When teams need to explore further, ad-hoc, multi-dimensional, or unforeseen questions, they hit a bottleneck. They wait hours or days for BI teams to build new views …
Greg Brockman Defends $30B OpenAI Stake: ‘Blood, Sweat, and Tears’
OpenAI’s cofounder and president revealed in federal court on Monday that he’s one of the largest individual stakeholders in the AI lab.
No digital content is safe from generative AI, researchers say
A research team led by Virginia Tech cybersecurity expert Bimal Viswanath has found a critical blind spot in today’s image protection techniques designed to prevent bad actors from stealing online content for unauthorized artificial intelligence training, style mimicry, and deepfake manipulations. The study is published on the arXiv preprint server.