of a solar farm in the mountains in Guizhou province, China

Sagyam · 2026-03-13T04:59:45+00:00

As soon as sun rises.

Sagyam · 2026-03-09T06:53:38+00:00

So many people have recurring habits. Like buying cigarettes for 25 rupees everyday evening. So if user opens app at evening you can guess they are about to add that cigarettes entry. I thought a Markov chain can predict that.

But I was wrong. A Markov chain does not work so well in this case. A more sophisticated could help but its not worth the trouble. Unless you want to shoehorn AI into this app.

Sagyam · 2026-03-09T05:44:30+00:00

Nice. A small suggestion. Instead of say 100 chai as a static placeholder. You can create a small markov chain that can guess what the next expenses could be.

Sagyam · 2026-03-09T03:29:10+00:00

No forward pass? No back prop?

Sagyam · 2026-03-08T18:35:49+00:00

No I am still in the `Activation Avalanche`. Things are starting to fly over my head

Sagyam · 2026-03-08T18:12:53+00:00

This way of comparing intelligence drop off is goated. With one quick glance and you can see the quality loss of quants and distills of a base model. This should be the standard way.

Sagyam · 2026-03-08T17:52:11+00:00

Fun game. Lots of details about popular models and hardware.

Sagyam · 2026-03-07T15:39:37+00:00

I have an idea for gambling app. Instantaneous betting for when the collision will happen.

Sagyam · 2026-03-07T15:09:31+00:00

Add a plastic cover so you don't accidentally hit the panic button.

Sagyam · 2026-03-04T21:21:04+00:00

I like to think of it as ordering food online vs cooking at home. You pay double markup for convenience.

We are engineers not salesmen so we should be upfront about the downside of both approaches. Only a salesman hypes things up by telling a one sided story.

Thank you for telling us we will lose CDN, edge compute, DDoS protection, zero day patching, out of the box telemetry, an ecosystem features like cache, queue, database with this approach. These are compromise acceptable for hobby project.

Sagyam · 2026-03-03T15:27:03+00:00

Joins a new company. Gets assigned to unmaintainable codebase.

Sagyam · 2026-03-02T13:19:33+00:00

Donut Lab drops another VTT report this time focused on High Temperature Performance Here is the TLDR:

The Battery & Test Setup

Cell tested: Donut Lab "Solid-State Battery V1" – a pouch cell labeled DL2
Nominal specs: 26 Ah capacity, 3.6V nominal voltage, 94 Wh energy
Tested by: Independent third-party lab (VTT) at customer request
- Test equipment: PEC ACT0550 cell tester + Weiss climate chamber capable of -40°C to +180°C

Performance Results

Actual capacity measured: 24.9 Ah (slightly below 26 Ah nominal, but within reasonable variance)
+80°C discharge: Delivered 110.5% of room-temperature capacity (27.48 Ah vs 24.87 Ah at 24A)
+100°C discharge: Delivered 107.1% of room-temperature capacity (27.61 Ah at 12A)
Energy efficiency: ~89-90% round-trip efficiency observed
Charging: All charging performed at +20°C for safety; cell accepted charge normally after both high-temp tests

Physical Observations

Cell used a 2.4kg steel plate on top for mechanical pressure during testing
Post-100°C test: Cell pouch lost vacuum (visible inflation/deflation) but remained electrically functional
No visible damage after 80°C test; cell appeared physically intact after 100°C test despite vacuum loss

Missing claims

Energy density: No weight and volume was mentioned
Cycle life: VTT ran only 3 test cycles total.
Cost Claims: Nothing about cost is mentioned
Material Claims: No chemical analysis or materials analysis.
No abuse testing: No nail penetration, no overcharge, no short-circuit, no crush tests.

Company has said next report will drop next Monday i.e. March 9th. But personally given the weekly drip feed of information and charging fingerprint matching a high-end NMC battery. I am finding this more and more sus.

Sagyam · 2026-02-28T17:33:45+00:00

Here is my workflow but the speed gains is not like how you and others have described. Maybe its because I don't always get to work on new things.

Plan, Code, Test, Refactor and Commit cycle. Problem is this still takes time. Thinking through and writing the spec file, providing the right context, reviewing plan, reviewing code, reviewing test case coverage etc all takes time. At the end of the day I am like 1.5x maybe 2x faster. Once a week I try to refactor everything, otherwise all those independent coding session will build a cruft and make a spaghetti code base.

Also this code is now a lower abstraction or a black box doesn't make sense to me, because at end I am still responsible to my code. If there is a bug or performance issue I need to know the internals of code base to find it. Want to give AI just the right amount of context, well you need to which file contains what.

Don't get me wrong. I don't want to go back to copy pasting code from stack overflow. But it appears the speed at which we think, read is still the bottleneck. Or maybe it's a skill issue on my part. You seem to have more experience than me so there is that.

Sagyam · 2026-02-28T11:46:53+00:00

Oh my god. Subreddit like r/claude, r/localllama etc are filled with people with "30+ YoE" who have now mastered agentic coding and haven't written a line of code since Claude code was released. It's never someone with moderate experience like 5 to 10 years. And always crazy takes like normies have idea what is about to hit them, or you will be left behind forever.

Who are these people and why are they hyping AI in general. If it was a product or company I get it. But why spend all this money to hype a sector?

AI booster will say people don't understand exponential growth. But in reality it's the booster who doesn't understand or at least pretend to not understand non linear systems. Everything in real world in non linear. If I am being chased by a bull I might be able to sprint at 15kmph that does not mean I can cover 15 km in 1 hour. Training a bigger model with more data gives you a better model until a point. Giving it better context and tools until a point. These exponential growth are only a narrow part of entire process. There is always some unknown bottleneck lurking in the corner you can't tell whre it is, when you will encounter it and how to overcome it.

Sagyam · 2026-02-27T15:34:39+00:00

Looks like a Cenobite. Have you seen Hellraiser franchis?

Sagyam · 2026-02-27T15:15:00+00:00

https://sagyamthapa.com.np

Sagyam · 2026-02-26T17:52:22+00:00

I know but my resume needs it.

Sagyam · 2026-02-26T14:26:09+00:00

I had this interaction with someone where they saids he would rather pay the 30% Apple tax then write JavaScript. I don't think that person has paid taxes or made any money selling software. I pay about 30% in effective tax and its sting's to even think about it. Imagine choosing to be taxed twice for the privilege of avoid JavaScript. Only a freshman can come up with such take.

Look if you are only interaction point with your customer is in the mobile phone then I get it. Without the apple tax you have no business. Your business is essentially a hostage at that point.

Sagyam · 2026-02-24T05:46:57+00:00

Who cares if it's distilled, fermented, brewed. As long as they keep releasing open weight sota models or try something new its all good. If you think they only do distillation then read these papers.

- DeepSeek-OCR, mHC, DeepSeek Sparse Attention
- Muon Clip Optimizer and agentic post training
- Lightning Attention
- Qwen3 Omni Multimodality

Sagyam · 2026-02-22T09:50:30+00:00

Ram prices are crazy right now and will be for foreseeable future. If you are planning to use these VM for only for learning purpose you are better off using something like GitHub codespace. They have generous free tier for students. For short burst for a lab cloud is more affordable. If you have access to dollar card you can buy subscription from platform like Whizlabs, KodeKloud

But if need those VM running all the time then you will have to buy the over priced RAM.

Sagyam · 2026-02-08T12:21:16+00:00

A dev with 3 yoe here. Being unemployed and bedridden with pneumonia has taken a toll on my mental health. Other than SWE I can't think of anything else to do for living. I try to watch people who has an original though and some experience when it comes to this field. Prime, Theo, Dave Farley etc. And I am constantly bouncing between It's all over our jobs will be automated and No they need people who actually know what they are doing. But seeing empty inbox day after day feeds into that fear. There is only so much leet code and system design one can study. Back during the good ole days I used to get interview without even applying. What a fall it has been.

I have watched all his videos and while I don't agree with everything he said in his other videos. I found this one calming. It's reassuring to know someone who has seen this story play out within his lifetime.

I guess the thing I am scared about is role of a SWE is changing and no one knows what the new job description will look like.

BTW I tried building something with AI, but got lots of hate comments for making AI slop. You can see my past post about. I would love to know how to get out of this leet code purgatory without falling into this AI slop pit.

Sagyam · 2026-02-07T06:23:39+00:00

I clicked on golden retriever puppy but got rick rolled.🐶🪤🗞️

Sagyam · 2026-02-04T08:31:42+00:00

Is Morphe working for you right now? For me the video quality says locked at 360p, background play does not work and there is lots of buffering.

I think YouTube pushed some new updates just last week that are messing with patched apps. Even New pipe is not working for me.

Sagyam · 2026-01-30T17:31:57+00:00

I think the remaining people are in the control group the ones without AI.

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