Feyn AI Releases SQRL, a Text-to-SQL Model Family That Inspects the Database Before Writing a Query

Most text-to-SQL systems treat the task as translation. Feyn AI (YC-backed startup) reframes it around inspection. The Feyn team has released SQRL, a family of models that turn natural language questions into SQL. Instead of generating a query immediately, SQRL can inspect the database first. This lets it resolve ambiguity and write only queries the…

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‘Odyssey’ director Christopher Nolan calls AI an apparent ‘Malicious program’

‘Odyssey’ director Christopher Nolan calls AI an apparent ‘Malicious program’

Christopher Nolan, the Oscar-winning director whose new model of “The Odyssey” is at present conquering the box office, mentioned it’s been “fairly encouraging” to see deep skepticism of AI, particularly from younger individuals. Nolan was responding to a question from interviewer Hugo Travers, who publishes on YouTube beneath the title HugoDécrypte. Travers introduced up the…

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Perplexity AI Releases WANDR: An Open Benchmark Evaluating Research Agents That Must Search Wide And Deep

Research agents already handle real knowledge work today. Teams delegate competitive mapping, due diligence, and literature review to them. However, most benchmarks test a single answer, not large evidence-backed collections. Perplexity targets that gap with a new open benchmark. Perplexity released WANDR (Wide ANd Deep Research). It is an open benchmark and evaluation harness. It…

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10 Open-Source No-Code AI Platforms for Building LLM Apps, RAG Systems, and AI Agents

“> HKUDS AutoAgent Repository: github.com/HKUDS/AutoAgent · License: MIT · Paper: arXiv:2502.05957 AutoAgent is a zero-code agent framework from the University of Hong Kong Data Intelligence Lab. You describe a goal in natural language. The system then constructs tools, agents, and multi-agent workflows without manual coding. It ships an agent editor, a workflow editor, and a…

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Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2: Open Trillion-Scale MoE Models Compared on Benchmarks, License, and Serving Cost

Three Chinese labs now hold the top of the open-weight leaderboard. Moonshot AI’s Kimi K3, DeepSeek V4 Pro, and Zhipu AI’s GLM-5.2 are all sparse Mixture-of-Experts (MoE) models with million-token context windows. Each targets long-horizon coding and agent workloads. This article compares them on three axes an AI team actually decides on: measured capability, license…

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