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.

AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and ...

That's why OpenAI's push to own the developer ecosystem end-to-end matters in26. "End-to-end" here doesn't mean only better models. It means the ...

ThreatsDay Bulletin tracks active exploits, phishing waves, AI risks, major flaws, and cybercrime crackdowns shaping this week’s threat landscape.

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

Physical AI is not merely a product feature. It is an architectural shift. When intelligence lives next to the phenomenon it observes, we gain what the cloud alone cannot consistently provide: low ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

You'll also identify where the experience feels subpar. When you have the time, it's also worth exploring apps inside Google's experimental ecosystem. Beyond Opal, the Mixboard cracked my style, and ...

According to Moderne, this extends OpenRewrite coverage from backend and frontend application code into the data and AI layer ...

Everything changes with time. Some changes happen so rapidly — like 7 frames or more per second — that we perceive them as ...

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