Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...
The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...
Nuclear power has been proposed as a solution to meet the growing energy needs of artificial intelligence. But what if AI ...
To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
OpenAI just revealed what its new in-house team, OpenAI for Science, has been up to. The firm has released a free LLM-powered ...
OpenAI, Google, and Moonshot AI are ushering in agentic AI systems that investigate, coordinate, and verify tasks beyond ...
Haque, W. (2026) The New Software Cost Curve under Agentic AI: Development Economics, Pricing, and Labor Impacts. Journal of ...
The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in computing.
Sai Raghavendra Varanasi: When Code Cannot Be Trusted: The Rise Of Self-Verifying Deployment Systems
This is where Sai Raghavendra Varanasi has focused his innovation: building delivery systems that do not simply push changes ...
Apple's Xcode 26.3 integrates Anthropic's Claude and OpenAI's Codex, letting AI agents autonomously write, build, and test code—sparking debate over security and the future of software development.
What a human-to-AI workplace looks like, Anthropic launches a ‘SaaS-pocalypse,’ AI agents get their own social network.
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