The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come ...
The company disclosed in its Thursday funding announcement that it’s now valued at $1.25 billion. That’s up from $250 million in November. Salesforce Ventures led the raise with participation from ...
Anthropic's AI, Claude Code, now generates nearly all internal code, prompting questions about its 100+ open engineering roles. Executives clarify human engineers are crucial for prompting, customer ...
Plotly announces major update to AI-native data analytics platform Plotly Studio, turning data into production-ready ...
In an era of seemingly infinite AI-generated content, the true differentiator for an organization will be data ownership and ...
Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.
Cortex Code is designed to give a productivity boost to data management and operations, according to Snowflake EVP of product Christian Kleinerman.
Cohere’s Tiny Aya models support 70+ languages and run offline on laptops, bringing open multilingual AI to edge devices worldwide.
Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.
Nvidia CEO Jensen Huang says English could become the most powerful programming language as AI reduces the need for traditional coding and shifts focus toward intent-driven human-machine interaction.
Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.