A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
As AI deployments scale and start to include packs of agents autonomously working in concert, organizations face a naturally amplified attack surface.
AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.
Discover Claude Opus 4.6 from Anthropic. We analyze the new agentic capabilities, the 1M token context window, and how it outperforms GPT-5.2 while addressing critical trade-offs in cost and latency.
The Seattle-based defense firm Overland AI Inc. has raised $100 million in new funding to help accelerate the use of robots and other autonomous systems across the US military’s ground forces. The ...
Connected and autonomous vehicles have struggled to move beyond pilot projects as high infrastructure costs and coordination barriers slow real-world deployment. New research published in the journal ...
Abstract: Large language models (LLMs) have shown promising code generation capabilities; however, they still face challenges in generating successful code for non-trivial programming tasks. To ...
We'll fully admit that car insurance is not exactly a core area of coverage here at Road & Track, but the advent of an all-new form of it covering a rising category of vehicles has caught our eye: ...
It’s the moment software engineers, executives and investors turn their work over to Anthropic’s Claude AI—and then witness a thinking machine of shocking capability, even in an age awash in powerful ...
You’ve probably seen an artificial intelligence system go off track. You ask for a video of a dog, and as the dog runs behind the love seat, its collar disappears. Then, as the camera pans back, the ...
Abstract: The development of agentic software engineering (ASE) is shifting the software development process, specifically by adopting autonomous agents into the fundamental software development ...
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