Hacker News: Abishek_Muthian

New comment by Abishek_Muthian in "OpenShot 4.0 – Open-source video editor"

Abishek_Muthian — Mon, 31 Aug 2026 13:20:44 +0000

LosslessCut is great, but I've had issues with the final export like timing being off, having cut sequence etc. I think it is very particular about encoding/container.

Shotcut is my default video editor, if anyone's trying it on Linux please use their AppImage as it solved most of my headaches when I was using Flatpak version.

New comment by Abishek_Muthian in "Nvidia agrees to acquire Hugging Face for $13B"

Abishek_Muthian — Thu, 27 Aug 2026 11:32:03 +0000

HF CEO keeps posting about how great local models are running in his Mac, it would be funny to see if he replaces his MacBook with a 500W Nvidia laptop after the deal gets through.

But more importantly for business, if HF fails to use the upcoming ASIC inference chips for their ZeroGPU after the acquisition, their competitors using them might have an advantage.

New comment by Abishek_Muthian in "Everything I own, owned"

Abishek_Muthian — Mon, 24 Aug 2026 08:01:01 +0000

At this point manufacturers should just open-source their firmwares as there's no barrier for entry to reverse engineer it. They will instead gain from army of end-users willing to put their time and tokens into fixing their bugs for free.

New comment by Abishek_Muthian in "Why your local LLM feels dumber than it is"

Abishek_Muthian — Sun, 23 Aug 2026 09:54:23 +0000

After 3 years of running local models I think the model which fits unquantized (BF16) in the VRAM is the best model for general purpose tasks; fine-tuned SLMs or utilities based on non language models for solving a specific problem (e.g. TTS,STT,RMBG etc.) have been the best use of local AI for me.

Local models for coding, is just not worth the effort IMO; unless of course you have the hardware to fit it unquantized in your VRAM.

New comment by Abishek_Muthian in "OpenLogi"

Abishek_Muthian — Wed, 19 Aug 2026 08:40:07 +0000

One of the main features of Logi Options + is the plugins which this application doesn't seem to support; you can load it locally or from their marketplace[1].

I myself have an accessibility related plugin to make clicking easier [2] built using their Logi Actions SDK. It finds the clickable elements near the cursor and displays them in the Actions Ring and the LCD keypad. If you have the Logi Dialpad then you can have a complete mouse free workflow with Access Ring.

[1] https://marketplace.logi.com/plugins/

[2] https://abishekmuthian.com/pages/access-ring/

New comment by Abishek_Muthian in "Linux 7.3 improves performance when running out of vRAM"

Abishek_Muthian — Wed, 19 Aug 2026 04:02:40 +0000

That explains, yeah 200% would be just integer scaling. I'm on Wayland only.

New comment by Abishek_Muthian in "Linux 7.3 improves performance when running out of vRAM"

Abishek_Muthian — Tue, 18 Aug 2026 14:07:23 +0000

In my laptop 200% fractional scaling of the built-in QHD+ OLED display on KDE Plasma is great, but when I connect my portable 1080p displays or e-paper monitor (UXGA) the fractional scaling of it is not as good as when compared to when the same monitors are used with macOS (M4) in HiDPI mode under lower resolutions.

As the other comment says, I suspect it to do with GPU as the built-in displays are usually driven by intel and external displays are always driven by my Nvidia 4090.

But surprisingly, when I drive my e-paper monitor using original Jetson Nano (Ubuntu 20.04 ESM / Nvidia Maxwell); the fractional scaling is quite good perhaps even better than macOS.

New comment by Abishek_Muthian in "Linux 7.3 improves performance when running out of vRAM"

Abishek_Muthian — Tue, 18 Aug 2026 13:51:25 +0000

Perhaps it's subjective, I have multiple portable displays including a e-paper monitor and I find that for low resolutions the HiDPI in the macOS produces more legible text in those monitors.

New comment by Abishek_Muthian in "Linux 7.3 improves performance when running out of vRAM"

Abishek_Muthian — Tue, 18 Aug 2026 11:29:07 +0000

Any improvements with fractional scaling? Can anyone please link to any material reg the work being done for improving fractional scaling in Linux; it would be great if it could match the rendering quality of macOS.

New comment by Abishek_Muthian in "OpenAI and Hugging Face address security incident during model evaluation"

Abishek_Muthian — Wed, 22 Jul 2026 09:22:36 +0000

> In one example, the model chained together multiple attack vectors, including using stolen credentials and zero-day vulnerabilities to find a remote code execution path on the Hugging Face servers.

Did the GPT pish hf employee or did it go to blackhat forum and buy the credential? If so what financial instrument did it use?

New comment by Abishek_Muthian in "GPT-5.6 used a prompt to close a 30-year gap in convex optimization"

Abishek_Muthian — Sun, 19 Jul 2026 03:42:10 +0000

This is a great suggestion, use complex hard stuff for doing fun stuff.

New comment by Abishek_Muthian in "Thanks HN for 15 years of support and helping me find my life's work"

Abishek_Muthian — Sat, 18 Jul 2026 14:56:10 +0000

I agree, sounds like it will be just a vanity and won't solve any real problem. I appreciate the comment.

New comment by Abishek_Muthian in "Thanks HN for 15 years of support and helping me find my life's work"

Abishek_Muthian — Sat, 18 Jul 2026 14:25:43 +0000

I appreciate the comment. It's like jobseekers want OkCupid for jobs but the employers are not really interested in such a thing.

New comment by Abishek_Muthian in "Thanks HN for 15 years of support and helping me find my life's work"

Abishek_Muthian — Sat, 18 Jul 2026 09:37:05 +0000

Can you tell us what why "OkCupid for jobs" failed?

I run a problem validation platform and 'OkCupid for jobs'[1] is consistently the most visited need-gap in the platform.

Congratulations on 15 years of Recurse Center!

[1] https://needgap.com/problems/363?gift=Z2lmdHwzNjN8MTc4NDQ1Mz... (gift pass link valid for 24 hours).

New comment by Abishek_Muthian in "Kimi K3: Open Frontier Intelligence"

Abishek_Muthian — Sat, 18 Jul 2026 06:55:47 +0000

Thanks, I will give it a shot.

New comment by Abishek_Muthian in "Kimi K3: Open Frontier Intelligence"

Abishek_Muthian — Fri, 17 Jul 2026 04:03:46 +0000

For me none of the models have managed to accurately replicate any given .png/.jpg image in SVG. I guess that requires both vision encoders and coding layers to work perfectly.

New comment by Abishek_Muthian in "How I use HTMX with Go"

Abishek_Muthian — Wed, 15 Jul 2026 16:56:45 +0000

AFAIK Hyperscript doesn't require `unsafe-eval`, when the optional features of htmx like `hx-on:*`, `hx-vals js:`, `hx-confirm js:` is used it required the `unsafe-eval` but now there's extension[1] to use even that without compromising on strict CSP through nonce.

[1] https://four.htmx.org/extensions/hx-csp

New comment by Abishek_Muthian in "How I use HTMX with Go"

Abishek_Muthian — Wed, 15 Jul 2026 14:29:59 +0000

Actually even with a strict CSP i.e. without unsafe-inline, hyperscript will work as it's declared as html attributes. But as the other commenters have pointed out, with proper server validation in place the risk from Hyperscript is not greater than any other JavaScript in the application.

New comment by Abishek_Muthian in "How I use HTMX with Go"

Abishek_Muthian — Wed, 15 Jul 2026 04:15:05 +0000

I'm bit sad that hyperscript[1] doesn't get the love it deserves when discussing HTMX.

Hyperscript fits perfectly in the Go + HTMX stack to do DOM manipulation without having to make a server round trip or having to write a separate JS function.

I get that not many are fan of such declarative programming, but when there's already HTML file we're working with; Hyperscript feels just like an extension of it.

I have been working on a Open Payment Host[2] which handles multiple payment gateways and was able to perform complex DOM manipulation with just Hyperscript.

[1] https://hyperscript.org/

[2] https://openpaymenthost.com/

New comment by Abishek_Muthian in "Mesh LLM: distributed AI computing on iroh"

Abishek_Muthian — Mon, 13 Jul 2026 06:28:14 +0000

True, I've been telling that coding LLMs have been detrimental to local AI scene. What happened to those nifty ML projects which can run on raspberry pi zero.