dazzaji (u/dazzaji) - Readit News

dazzaji commented on Israels top military lawyer arrested after she admitted leaking video of abuse theguardian.com/world/202... · Posted by u/NomDePlum

Jtsummers · 3 months ago

> Hey, not super familiar with HN norms.

You can learn more about the intended norms through the Guidelines and FAQ, at the bottom of almost every page but here are the links:

https://news.ycombinator.com/newsguidelines.html

https://news.ycombinator.com/newsfaq.html

Regarding relevance to the community:

> What to Submit

> On-Topic: Anything that good hackers would find interesting. That includes more than hacking and startups. If you had to reduce it to a sentence, the answer might be: anything that gratifies one's intellectual curiosity.

> Off-Topic: Most stories about politics, or crime, or sports, or celebrities, unless they're evidence of some interesting new phenomenon. Videos of pratfalls or disasters, or cute animal pictures. If they'd cover it on TV news, it's probably off-topic.

And regarding comments about whether it's on- or off-topic:

> Please don't complain that a submission is inappropriate. If a story is spam or off-topic, flag it. Don't feed egregious comments by replying; flag them instead. If you flag, please don't also comment that you did.

dazzaji · 3 months ago

Thanks for those links - these are the rules and norms I didn’t know before. Now that I see them, they seem pretty sensible overall. Some are of them are a bit quirky.

dazzaji commented on The end of the rip-off economy: consumers use LLMs against information asymmetry economist.com/finance-and... · Posted by u/scythe

laughingcurve · 3 months ago

I am a researcher in this field and and would love to talk more about loyal agents

dazzaji · 3 months ago

By all means! I’m not sure if Hacker News rules or norms permit us to talk here or not but I’ll at least respond here as a start:

What about loyal agents would you like to talk about?

dazzaji commented on The end of the rip-off economy: consumers use LLMs against information asymmetry economist.com/finance-and... · Posted by u/scythe

dazzaji · 3 months ago

This discussion hits close to home. A few of us at Stanford and Consumer Reports have been working on a project called Loyal Agents (loyalagents.org ) that’s focused on the same core issue raised in the Economist article, namely how to make sure AI agents actually act in the interest of the people they represent.

The idea is to define what “loyalty” means for an AI agent in both technical and legal terms, and then build systems that can prove they’re acting on a user’s behalf (ie not a platform’s or advertiser’s).

It’s early-stage research, but the overlap with many of the questions here is striking. Would be great to get feedback from this crowd as the work evolves.

I’m part of the group working on Loyal Agents and happy to discuss it.

dazzaji commented on The Architecture of Learning: From Statistics to Intelligence little-book-of.github.io/... · Posted by u/scapbi

dazzaji · 4 months ago

Here’s what Claude Sonnet 4.5 suggested to take this piece from something that sounds impressive but lacks substance to something that could actually deliver on its promise. I did this thought exercise to explore whether being AI-generated necessarily precludes brilliance. You be the judge - I think Claude succeeded in mapping the gap between the current draft and what a truly excellent version would actually require.

https://claude.ai/share/46dd4b7e-9adf-473d-8372-22cb1ae34249

dazzaji commented on Show HN: A little notebook for learning linear algebra with Python little-book-of.github.io/... · Posted by u/tamnd

wodenokoto · 5 months ago

pairs well? Isn't it the same book?

dazzaji · 5 months ago

Based on the URL correlation and content, it sure appears to be the same book.

dazzaji commented on Qwen3-VL qwen.ai/blog?id=99f0335c4... · Posted by u/natrys

helloericsf · 5 months ago

If you're in SF, you don't want to miss this. The Qwen team is making their first public appearance in the United States, with the VP of Qwen Lab speaking at the meetup below during SF teach week. https://partiful.com/e/P7E418jd6Ti6hA40H6Qm Rare opportunity to directly engage with the Qwen team members.

dazzaji · 5 months ago

Registration full :-(

dazzaji commented on How many dimensions is this? lcamtuf.substack.com/p/ho... · Posted by u/robin_reala

xg15 · 5 months ago

> Yet, this common-sense definition is unsatisfying if we consider that a lower-dimensional object might end up straddling a higher-dimensional space. If a line segment is rotated or bent, does that make it 2D? Or is that object forever one-dimensional, somehow retaining the memory of its original orientation and curvature?

Isn't that exactly what topological manifolds are for?

https://en.wikipedia.org/wiki/Manifold

dazzaji · 5 months ago

Not quite - as I understand it box-counting measures global space-filling, manifolds handle local coordinate structure. Consider that the Earth is locally flat but globally spherical, and a Möbius strip vs cylinder are locally identical but globally different. Related problems, but the tools reveal different aspects of geometry. So I think whether “this is exactly what topological manifolds are for” depends what you’re trying to understand.

dazzaji commented on Synthi – A tool to summarize and synthesize HN threads and their articles prototypejam.github.io/sy... · Posted by u/dazzaji

dazzaji · 5 months ago

Synthi is an open web tool that instantly summarizes and synthesizes Hacker News threads and their linked articles, grouping every point of view by topic.

[Live demo here: https://prototypejam.github.io/synthesize/](https://prototypejam.github.io/synthesize/)

Why I Built This:

I love the deep discussions on HN, but I never have time to read a long article and a 400-comment thread. The tipping point for building this was when I nearly burned through my monthly API credits on another service just trying to synthesize a few threads! I needed my own tool.

How It Works:

1. Paste any HN thread URL into Synthi. 2. It instantly detects it and fetches the linked article. 3. Click "Full Analysis" for a unified, topic-based synthesis (with attribution to the article or the commenter). 4. Export the result, bookmark it, or listen to it (the output is text-to-speech friendly).

Key Features:

* Smart HN workflow: Auto-detects HN links for a one-click analysis. * Works with any URLs: Can also synthesize any two articles or pieces of text. * 100% client-side: All processing happens in your browser. No backend, no tracking. * Open source (MIT License): The code is yours to inspect, fork, and use.

The Code: [https://github.com/prototypejam/synthesize](https://github.com/prototypejam/synthesize)

A Note on the API Key:

Synthi is a "Bring Your Own Key" app. You'll need a Google Gemini API key, which is stored securely in your browser's local storage and never sent anywhere else.

For now, it's Gemini only, largely because the free tier on Google AI Studio is incredibly generous and a great way to get started. I'm considering adding support for other models like Claude or OpenAI via OpenRouter in the future.

I've been using this every day and I hope it's useful to some of you too. All feedback is welcome!