We build AI tools to detect oral and breast cancer: IISc Professor Phaneendra
We haven't written up this one. The Indian Express has the full story — the link below goes straight to it.
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What happens when an AI burns out
I once took someone off a job because they were burning out. They'd been at it for the best part of two days without a proper break, they'd stopped listening, and they were getting things confidently…
- AI session ran for nearly two days without proper break
- Session lost information through context compactions
- Human intervened to guide AI back on correct path
A16z leads $870m round for US AI startup TypeSafe
One-third of Fortune 500 companies already use TypeSafe’s Jev model.
Sources: Dario Amodei spoke with Meta's Alexandr Wang earlier this year, hoping to source more compute; Meta declined the request (Wall Street Journal)
Bitter rivals are forming alliances and executives are having to personally intervene over the scramble for resources to fuel the AI boom
Building PlantLens AI for the Hacktoberfest "Touch Grass" Challenge
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built I built PlantLens AI , a privacy-focused, AI-powered botanical assistant.
- PlantLens AI is an open-source botanical assistant.
- Users upload plant photos for health assessment.
- Project emphasizes privacy and outdoor activity.
Agent Graph Engineering, Part 0: I Needed This Before It Had a Name
TL;DR Building a chatbot is easy. Building an AI system you can trace, test, and change without fear is not. I spent years shipping LLM features as intent detection plus nested if/else , and no amount…
- Agent Graph Engineering journey began before concept had formal name
- Need for sustainable solution over fleeting trend recognized
- Graphs provide clear flow visualization and testing framework
Move Slow LLM Calls Off the Request Path with BullMQ in Node.js
If an LLM call can take 20 seconds or more, keep it out of your HTTP handler. Put the work on a BullMQ queue backed by Redis, return a job ID right away with a 202 Accepted , and let a separate worker…
- Move slow LLM calls to a separate queue using BullMQ in Node.js
- Return immediate response while dedicated worker handles asynchronous processing
- Improves retry policy, concurrency control, and failure handling