Hacker News: oceansweep

New comment by oceansweep in "Gemini Omni"

oceansweep — Tue, 19 May 2026 22:00:22 +0000

Totally unrelated, but what would you say the feasibility of writing simulation software for simulation of/replicating body movements during/in a martial arts technique would be?

I’ve often thought it would be very handy to have a proper simulator for being able to simulate and identify inefficiencies in one’s technique, but no idea whether it would be feasible to do.

New comment by oceansweep in "Google I/O"

oceansweep — Tue, 19 May 2026 18:48:24 +0000

It was because of anti-monopoly legislation, https://www.investopedia.com/ask/answers/09/att-breakup-spin... ; i.e. breaking up 'Ma Bell' into the baby bells, and the current oligopoly we have instead in the modern day. An older picture showing how they were broken up and then re-merged: https://www.reddit.com/r/Futurelings/comments/r24ed0/diagram... or https://legalclarity.org/what-happened-to-the-baby-bells-aft...

New comment by oceansweep in "Apple accidentally left Claude.md files Apple Support app"

oceansweep — Fri, 01 May 2026 14:31:16 +0000

This is one I use with no tracking or ads:

https://apps.apple.com/us/app/id6447090616

New comment by oceansweep in "Apple accidentally left Claude.md files Apple Support app"

oceansweep — Fri, 01 May 2026 14:30:36 +0000

I’ve found this one to be useful offline with no ads:

https://apps.apple.com/us/app/id6447090616

New comment by oceansweep in "Mozilla Thunderbolt"

oceansweep — Thu, 16 Apr 2026 16:36:48 +0000

migrate to rust.

New comment by oceansweep in "OpenAI Acquires TBPN"

oceansweep — Fri, 03 Apr 2026 04:04:37 +0000

Likely meant 'swyx', https://www.latent.space/podcast

New comment by oceansweep in "From zero to a RAG system: successes and failures"

oceansweep — Thu, 26 Mar 2026 13:13:12 +0000

If you don’t mind a little instability while I work out the bugs, might be interested in my project: https://github.com/rmusser01/tldw_server ; it’s not quite fully ready yet but the backend api is functional and has a full RAG system with a customizable and tweakable local-first ETL so you can use it without relying on any third party services.

New comment by oceansweep in "OSS ChatGPT WebUI – 530 Models, MCP, Tools, Gemini RAG, Image/Audio Gen"

oceansweep — Mon, 26 Jan 2026 17:20:58 +0000

You can absolutely downvote posts. You have to have a certain amount of karma before the option becomes available.

New comment by oceansweep in "Over fifty new hallucinations in ICLR 2026 submissions"

oceansweep — Sun, 07 Dec 2025 15:42:08 +0000

Yes. That is absolutely the case. One of the Most popular handguns does not have a safety switch that must be toggled before firing. (Glock series handguns)

If someone performs a negligent discharge, they are responsible, not Glock. It does have other safety mechanisms to prevent accidental fires not resulting from a trigger pull.

New comment by oceansweep in "Qwen3-VL can scan two-hour videos and pinpoint nearly every detail"

oceansweep — Wed, 03 Dec 2025 18:26:27 +0000

https://fiction.live/stories/Fiction-liveBench-Mar-25-2025/o...

New comment by oceansweep in "How good engineers write bad code at big companies"

oceansweep — Sat, 29 Nov 2025 01:33:14 +0000

Just wanted to comment on the fact that I remember seeing that comment, and it left such an impression I remember it 7 years later. Thanks for the reminder, going to bookmark it this time.

New comment by oceansweep in "Kimi K2 Thinking, a SOTA open-source trillion-parameter reasoning model"

oceansweep — Fri, 07 Nov 2025 01:38:20 +0000

Epyc Genoa CPU/Mobo + 700GB of DDR5 ram. The model is a MoE, so you don't need to stuff it all into VRAM, you can use a single 3090/5090 to hold the activated weights, and hold the remaining weights in DDR5 ram. Can see their deployment guide for reference here: https://github.com/kvcache-ai/ktransformers/blob/main/doc/en...

New comment by oceansweep in "AWS multiple services outage in us-east-1"

oceansweep — Mon, 20 Oct 2025 16:06:20 +0000

Mean time between failures

New comment by oceansweep in "The force-feeding of AI features on an unwilling public"

oceansweep — Sun, 06 Jul 2025 18:14:34 +0000

Are you doing this with vLLM? If you're using Llama.cpp/Ollama, you could likely see some pretty massive improvements.

New comment by oceansweep in "Reading RSS content is a skilled activity"

oceansweep — Sat, 26 Apr 2025 07:16:36 +0000

Do you think you could expand on that? Like how you might imagine an ideal workflow to go? Would there be like a sea of tags that you could wade through, or just an '/all', only items you specifically subscribe to + your connections subscriptions according to some ranking algo? Items would 'fall off' or out of view(?) after X time/X amount of browsing a differently weighted topic?

I ask because being honest, you're a big inspiration for myself, and inadvertently, adding an LLM-curated RSS feed reader as a planned feature to a project I'm working on. (I saw https://github.com/karpathy/LLM101n when I was getting interested in LLMs, and then got inspired by your project to start to attempt to build something like the primer from the diamond age.

Where that leads is that I see an RSS feed reader + curation via self-described or identified interests as being a 'core' piece of information gathering for the 'future' individual and have had it on the to-do list as a feature-add for my project.

New comment by oceansweep in "Show HN: Morphik – Open-source RAG that understands PDF images, runs locally"

oceansweep — Wed, 23 Apr 2025 23:07:31 +0000

Hey yes, I’m building exactly that.

https://github.com/rmusser01/tldw

I first built a POC in gradio and am now rebuilding it as a FastAPI app. The media processing endpoints work but I’m still tweaking media ingestion to allow for syncing to clients(idea is to allow for client-first design). The GitHub doesn’t show any of the recent changes, but if you check back in 2-3 weeks, I think I’ll have the API version pushed to the main branch.

New comment by oceansweep in "TL;DW: Too Long; Didn't Watch Distill YouTube Videos to the Relevant Information"

oceansweep — Sun, 16 Feb 2025 19:00:28 +0000

You could try my app https://github.com/rmusser01/tldw

Supports arbitrary length videos and also lets you choose what LLM API to use.

New comment by oceansweep in "DeepRAG: Thinking to retrieval step by step for large language models"

oceansweep — Wed, 05 Feb 2025 02:55:12 +0000

Not the person you asked, but it's dependent on what you're trying to chunk. I've written a standalone chunking library for an app I'm building: https://github.com/rmusser01/tldw/blob/main/App_Function_Lib...

It's setup so that you can perform whatever type of chunking you might prefer.

New comment by oceansweep in "Citations on the Anthropic API"

oceansweep — Fri, 24 Jan 2025 01:14:44 +0000

I've assumed that Google's approach for NotebookLM is similar to this, given their release of https://huggingface.co/google/gemma-7b-aps-it :

Gemma-APS is a generative model and a research tool for abstractive proposition segmentation (APS for short), a.k.a. claim extraction. Given a text passage, the model segments the content into the individual facts, statements, and ideas expressed in the text, and restates them in full sentences with small changes to the original text.

Anthropic:

When Citations is enabled, the API processes user-provided source documents (PDF documents and plain text files) by chunking them into sentences. These chunked sentences, along with user-provided context, are then passed to the model with the user's query.

Claude analyzes the query and generates a response that includes precise citations based on the provided chunks and context for any claims derived from the source material. Cited text will reference source documents to minimize hallucinations.

New comment by oceansweep in "Meta is killing off its AI-powered Instagram and Facebook profiles"

oceansweep — Mon, 06 Jan 2025 03:49:18 +0000

Ahh, thank you. For what it’s worth, I agree.