jnaapti

Will be off the blue tick soon. I will enable it if and when I feel like it. But verified or not, it's me!

The next gen Virtual Coach😍

@shunnode Did you try Gemini in GitHub Copilot or elsewhere?

@jnaapti Gemini too

Has anyone noticed this behavior where if you continue a conversation for a very long time Codex starts getting lazy and when debugging issues says things like "the likely cause is ..." without investigating it.

@shunnode I have been active in my @gauthampai account for a few days now. 😄 Been busy hatching some product ideas and talking about it as I build it.

@jnaapti You're back?

Built a beautiful Notes Calendar in 10 minutes with Grok Code Fast 1 (Preview). #buildinpublic

Link to the original article: hbr.org/2025/09/ai-gen…

The big issue I have with AI Coding agents is exactly this. The longer the code generated by AI, the more time it takes to fix the "last mile" issues. And yeah, AI can game tests so that doesn't help.

Do you remember when you joined X? I do! #MyXAnniversary

Before the advent of LLMs, machine learning had already made significant progress. We had summarizers, classification/clustering algorithms, and other solutions that were about 80% effective. However, the lack of final-mile refinement often kept them from being production-ready. With LLMs now in the picture, many of these use cases are resurfacing. However, instead of leveraging traditional ML approaches where they still work well, many have jumped straight to LLMs for everything. In reality, traditional ML solutions can serve as an effective first-level filter - delivering solid results while keeping time and costs under control. I've found this approach to be incredibly practical, yet seems overlooked. Why aren’t more people talking about this?

#DeepThink (R1) Note the time taken

Here is a "Deep Thinking" question: There are 2 companies. One offers a 10% flat discount on my purchases. If I buy ₹100/- worth of items, they will charge me ₹90/-. Another offers a 15% discount but they give the discount as 15 points for every ₹100/- spent. I can then redeem these at the rate of ₹1 per point. However, when I redeem, they don't offer discount on the redeemed points. Which one offers a better discount over time? Let me know how different AI models answer it.

Yes, Docker is the one who popularized containers. So you will find a lot of literature based on Docker. But we had contains way before Docker was born and we have other competing solutions which are equally good. When learning Docker, learn to separate concepts from technology. You can ask, "How is this concept implemented in this other technology?". Eg: How are container filesystems implemented in Podman based containers. Can I use a container image built with Docker with a different technology like Podman? How does it work? You will start seeing similarities. Plus there is CRI/OCI compatibility. If you are using Kubernetes, you can switch your runtime easily. Learn how these standards are built. Finally, all containers eventually use similar underlying ideas - namespaces, cgroups, chroot and overlay filesystem. If you know how things work at this level, you will be able to identify commonalities and appreciate the differences better.

Most things I do read that have containers would eventually lead me back to Docker.

@cneuralnetwork (For you) Yes, as long as you are not boring me with which movie genres you like. List all technical achievements, big and small. Don't worry about size.

ATS people of twitter, is it okay if my resume goes to two pages, instead of one?

Or even: sudo dmesg -T

TIL, dmesg has a way to print the log in ISO times instead of seconds since boot: sudo dmesg --time-format=iso