Google has made a big deal (which is to say, not nearly as big a deal as it wants to) about the latest version of Gemini. Specifically, Gemini 3.1 Pro. The Gemini 3.1 Pro AI model is, according to Google’s blog post, “Better at reasoning, coding, and research.” While it also doesn’t take a lot…
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ByteDance Seed recently dropped a research that might change how we build reasoning AI. For years, devs and AI researchers have struggled to ‘cold-start’ Large Language Models (LLMs) into Long Chain-of-Thought (Long CoT) models. Most models lose their way or fail to transfer patterns during multi-step reasoning. The ByteDance team discovered the problem: we have…
For the last few years, the AI world has followed a simple rule: if you want a Large Language Model (LLM) to solve a harder problem, make its Chain-of-Thought (CoT) longer. But new research from the University of Virginia and Google proves that ‘thinking long’ is not the same as ‘thinking hard’. The research team…
It’s not just harder to deal with incidents in modern hybrid IT setups; it’s a whole new problem. When you have on-prem systems, multiple clouds, edge services, and everything else, things break in more places and for more reasons. During my time working with AIOps and observability, I’ve seen teams get buried in alerts from…
In this tutorial, we build a production-style Route Optimizer Agent for a logistics dispatch center using the latest LangChain agent APIs. We design a tool-driven workflow in which the agent reliably computes distances, ETAs, and optimal routes rather than guessing, and we enforce structured outputs to make the results directly usable in downstream systems. We…