AI NEWS
A fuller AI news feed from trusted sources and research feeds.
Top stories from trusted sources.
Cloudflare recently added support for Claude Managed Agents, allowing developers to run and manage Claude agents within Cloudflare. Developers can connect agents to private systems, choose their runtime environment, and monitor agent activity using Cloudflare…
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The bill requires companies like OpenAI, Anthropic, and Google to have third parties confirm they’re following safety standards. Illinois Governor JB Pritzker says he’ll sign.
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The Chinese company is adapting to the demise of Moore’s Law, which guides chip production. It could complicate US chip dominance.
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ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM
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Trajectory is betting the rapid iteration cycle that supercharged vibe-coding can help all kinds of companies build AI products that learn continuously.
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Cisco and OpenAI are redefining enterprise engineering with Codex, helping Cisco scale AI-native development, accelerate AI Defense work, and automate defect remediation.
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Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration workflows to generate and execute Python, JavaScript, C#, and PowerShell in Hyper-V isolated sessions. Architects get full control over model selection per…
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Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent frameworks. He explains how to combine deterministic software guardrails with agentic discovery, optimize agent hierarchies, leverage…
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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…
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See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows.
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Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL
Open originalAhead of global elections, we’re helping people access information, supporting cyber defenders, and increasing AI transparency
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Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.
Open originalThe Holy Father referenced The Lord of the Rings in his encyclical about AI—an expert (if unintentional) troll of tech billionaires who keep misinterpreting the series.
Open originalParsing a papal proclamation.
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Pope Leo’s first encyclical marks an unprecedented alliance between the Church and Silicon Valley.
Open originalIn Magnifica Humanitas, the Pope decries the concentration of technological power in a few global players.
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Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and execution.  Although 85% of organizations say they want to be agentic within the next three years, 76% say their current operations and…
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InfoQ expands its online certification portfolio with new AI Engineering and Organizational Architecture cohorts, giving senior practitioners a confidential peer group to pressure-test production AI, platform, team design, and architecture decisions. By…
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From killing your chatbots to optimizing your prompts, here are the best ways to go full AI native and conquer the new world.
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The world’s leading AI labs are hiring philosophers to think through ethical edge cases and grand questions of mind and morality. Are they another instrument of hype?
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Parameter-efficient finetuning (PEFT) has become the standard approach for adapting large language models, yet evaluations largely emphasize downstream accuracy while overlooking the retention of pretrained capabilities. We argue that PEFT should be assessed through the stability-plasticity dilemma: the trade-off between target-task adaptation and resistance…
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Large language models (LLMs) have become increasingly useful computational models of human language processing, but it remains unclear whether vision-language learning makes text representations more human-like during natural reading. Here, we address this question by comparing tightly matched LLM and vision-language model (VLM) pairs under a strictly…
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