Hacker News: arkmm

New comment by arkmm in "Building an HTML-first site doubled our users overnight"

arkmm — Wed, 10 Jun 2026 20:08:49 +0000

Seems like LLMs embrace that last point as well.

New comment by arkmm in "Agent Memory: An Anatomy"

arkmm — Wed, 27 May 2026 00:58:08 +0000

everything is computer

New comment by arkmm in "Faster asin() was hiding in plain sight"

arkmm — Wed, 11 Mar 2026 17:44:42 +0000

Didn't know this technique had a name, but I would think a modern compiler could make this optimization on its own, no?

New comment by arkmm in "Qwen3.5 Fine-Tuning Guide"

arkmm — Wed, 04 Mar 2026 19:21:16 +0000

You can fine tune a small LLM with a few thousand examples in just a few hours for a few dollars. It can be a bit tricky to host, but if you share a rough idea of the volume and whether this needs to be real-time or batched, I could list some of the tradeoffs you'd think about.

Source: Consulted for a few companies to help them finetune a bunch of LLMs. Typical categorical / data extraction use cases would have ~10x fewer errors at 100x lower inference cost than using the OpenAI models at the time.

New comment by arkmm in "Qwen3.5 Fine-Tuning Guide"

arkmm — Wed, 04 Mar 2026 19:02:03 +0000

Can you share more details about your use case? The good applications of fine tuning are usually pretty niche, which tends to make people feel like others might not be interested in hearing the details.

As a result it's really hard to read about real-world use cases online. I think a lot of people would love to hear more details - at least I know I would!

New comment by arkmm in "Payment fees matter more than you think"

arkmm — Wed, 04 Mar 2026 00:43:11 +0000

Payment fees are crazy when you think about them from the perspective of a merchant in a low margin business. E.g. in retail or restaurants, margins aren't much better than ~10%. If they didn't have to pay ~3% credit card fees, they'd have 30% more profit!

New comment by arkmm in "Nano Banana 2: Google's latest AI image generation model"

arkmm — Thu, 26 Feb 2026 19:22:07 +0000

I used to also have this optimistic take, but over time I think the reality is that most people will instead just distrust unknown online sources and fall into the mental shortcuts of confirmation bias and social proof. Net effect will be even more polarization and groupthink.

New comment by arkmm in "The First Fully General Computer Action Model"

arkmm — Thu, 26 Feb 2026 00:06:37 +0000

Get ready for the acquisition offers.

New comment by arkmm in "Do not apologize for replying late to my email"

arkmm — Wed, 11 Feb 2026 21:50:28 +0000

Sorry Ploum, just getting a chance to read this now and comment. Great insights!

New comment by arkmm in "Claude Code is your customer"

arkmm — Tue, 03 Feb 2026 20:13:55 +0000

this is a really cool insight, going to use this on my team from now on!

Ask HN: For those of you building AI agents, how have you made them faster?

arkmm — Thu, 15 Jan 2026 18:52:13 +0000

Because of the coordination across multiple systems + chaining LLM calls, a lot of agents today can feel really slow. I would love to know how others are tackling this:

- How are you all identifying performance bottlenecks in agents?

- What types of changes have gotten you the biggest speedups?

For us we vibe-coded a profiler to identify slow LLM calls - sometimes we could then switch out a faster model for that step or we'd realize we could shrink the input tokens by eliminating unnecessary context. For steps requiring external access (browser usage, API calls), we've moved to fast start external containers + thread pools for parallelization. We've also experimented some with UI changes to mask some of the latency.

What other performance enhancing techniques are people using?

Comments URL: https://news.ycombinator.com/item?id=46637298

Points: 2

# Comments: 1

New comment by arkmm in "Raspberry Pi's New AI Hat Adds 8GB of RAM for Local LLMs"

arkmm — Thu, 15 Jan 2026 14:01:20 +0000

They're still very good for finetuned classification, often 10-100x cheaper to run at similar or higher accuracy as a large model - but I think most people just prompt the large model unless they have high volume needs or need to self host.

New comment by arkmm in "Sergey Brin's Unretirement"

arkmm — Wed, 07 Jan 2026 21:35:39 +0000

Maybe a bit off-topic, but how'd you meet your partner while on your adventures?

New comment by arkmm in "Space Elevator"

arkmm — Mon, 20 Oct 2025 21:10:00 +0000

As a follow-up to this, even though water makes up 70% of the Earth's surface, it's only 0.02% of the Earth's mass.

New comment by arkmm in "DeepSeek OCR"

arkmm — Mon, 20 Oct 2025 21:00:49 +0000

Wow, this deserves its own submission.

New comment by arkmm in "A stateful browser agent using self-healing DOM maps"

arkmm — Thu, 16 Oct 2025 13:58:08 +0000

Neat approach, but seems like the eventual goal of caching DOM maps for all users would be a privacy nightmare?

New comment by arkmm in "NanoChat – The best ChatGPT that $100 can buy"

arkmm — Mon, 13 Oct 2025 22:05:40 +0000

What's misleading about that? You rent $100 of time on an H100 to train the model.

New comment by arkmm in "Gemini 2.5 Computer Use model"

arkmm — Tue, 07 Oct 2025 20:33:27 +0000

What sorts of automations were you able to get working with the Chrome dev tools MCP?

New comment by arkmm in "Circular Financing: Does Nvidia's $110B Bet Echo the Telecom Bubble?"

arkmm — Sat, 04 Oct 2025 15:16:50 +0000

The irony of this is so much of Reddit comments these days are AI generated.

New comment by arkmm in "After 50 years, The Magic Circle finally inducts Penn and Teller"

arkmm — Tue, 23 Sep 2025 02:00:02 +0000

Unfortunately I think they have stopped doing this since COVID.