Bharat Golchha
Articles by Bharat Golchha
Kimi K2.5 Just Dropped — and it’s already living rent-free on springhub.ai
K2.5 is amazing when you need big context, deep reasoning, or multimodal workflows. But Springhub lets you choose the right model per task—so you can go cheap + fast for quick drafts, then go heavy for the “this has consequences” work.
The Hiring Score War: Is Your AI Resume Grade Illegal?
If your hiring product shows candidates a neat “85/100” score, you might already be operating in credit-bureau territory—legally, not metaphorically. Recent lawsuits are pushing courts to treat AI “suitability scores” like consumer reports, which means old-school rules (think FCRA) suddenly apply to modern ML pipelines. That changes everything: disclosure, written consent, accuracy obligations, and—most dangerously—adverse action notices when someone is rejected based on an algorithm. For HR-Tech founders, this isn’t a compliance footnote. It’s a product requirement that can make the difference between a scalable platform and a class-action magnet.
The Hidden Cost of AI Subscription Sprawl (And How to Cut 70% of It)
Stop paying for the same AI three times. Your marketing team uses Jasper, your product team uses Claude, and everyone has a ChatGPT Plus account. If your company is like most, you’re paying for the same generative capabilities under four different brand names. We’re breaking down the "847/Month Problem" and providing a step-by-step decision matrix to help you consolidate your tools, fix your workflow friction, and stop the subscription leak for good.
Chatbots are boring. Agents are labor. (And that should terrify you a little.)
A chatbot talks. An agent acts—across your tools, your files, your calendar, your inbox, your workflows—often with multiple steps, retries, and judgment calls. And once software starts doing labor, the impact isn’t incremental. It’s economic.
AI in 2026: Beyond Chatbots to Latent Reasoning and Curious Agents
The "chat" window is just the interface now—the real magic is happening under the hood in the latent spaces and autonomous labs.