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annjose commented on Show HN: HN Companion – web app that enhances the experience of reading HN   hncompanion.com... · Posted by u/georgeck
altmanaltman · a month ago
> When we’re overwhelmed with information, we benefit from a system that organizes it.

That may be true for something like a HUD or where we're really overwhelmed with info that is fast and reaction time is paramount.

But you can read a hackernews thread one line at a line and never get overwhelmed, right? I literally have never felt overwhelmed looking at the threads (which are also organized into local groups already etc).

I read it for pleasure and engagement, it's not something I want AI to automate away.

And when you say "continue the conversation there", do you mean use AI to write comments? If so, then this is the opposite of what makes HN HN.

annjose · a month ago
Let's look at an example post in HN Companion. This is the post on singularity in the home page right now:

https://app.hncompanion.com/item?id=46962996

This post has 500+ comments with various viewpoints and you see the summary on the right side.

You are right that most of the time threads are organized into local groups. But in the above example, there are many comments that relate to the same topic, but are not under the same parent comment. HN Companion's summary surfaces this into a topic "Limitations of Current AI Models" which shows comments from up and down the post.

You can click on the author name in that topic in the summary panel, it will take you directly to the comment. This is what we meant by "continue the conversation there", i.e you are now in the main HN experience, so you can navigate to child/parent/sibling comments (through the link buttons or keyboard navigation).

We definitely don't want AI to write comments. Happy to elaborate if you need.

annjose commented on Show HN: HN Companion – web app that enhances the experience of reading HN   hncompanion.com... · Posted by u/georgeck
gavmor · a month ago
Better than summaries would be fact-checking: corroboration or counter-narratives.
annjose · a month ago
Good point. Can you elaborate a little bit more? Do you mean corroboration within the same discussion or across multiple discussions?
annjose commented on Show HN: HN Companion – web app that enhances the experience of reading HN   hncompanion.com... · Posted by u/georgeck
annjose · a month ago
Co-author here. Forgot to share the link to the fine-tuned model [0].

[0] https://huggingface.co/georgeck/models

Dead Comment

annjose commented on Take One Small Step   thinkhuman.com/take-one-s... · Posted by u/jamesgill
jamesgill · 2 months ago
No, it’s an expansion of my reading of a different book: http://thinkhuman.com/book-notes-one-small-step-can-change-y...

I read Clear’s book, though, and like it. Neither book has new ideas, but they both present old ideas in useful ways.

annjose · 2 months ago
Genuine question to understand - have you tried this approach to build or break any habit for yourself? What were the learnings from it - what worked and what didn't? And how did you tweak the approach for the next habit?
annjose commented on Your job is to deliver code you have proven to work   simonwillison.net/2025/De... · Posted by u/simonw
annjose · 3 months ago
I came here to say

1) Amen 2) I wonder if this is isolated to junior dev only? Perhaps it seems like that because junior devs do more AI assisted coding than seniors?

annjose commented on General principles for the use of AI at CERN   home.web.cern.ch/news/off... · Posted by u/singiamtel
GranularRecipe · 4 months ago
What I find interesting is the implicit priorisation: explainability, (human) accountability, lawfulness, fairness, safety, sustainability, data privacy and non-military use.
annjose · 4 months ago
I agree, though I would prefer to highlight the first half of the first item - transparency. Also, perhaps make Safety an independent principle than combining with Security.

These are a good set of principles for any company (or individual) can follow to guide them how they use AI.

annjose commented on 2025 AI Index Report   hai.stanford.edu/ai-index... · Posted by u/INGELRII
simonw · a year ago
I've been banging the drum about how unintuitive and difficult this stuff is for over a year now: https://simonwillison.net/2025/Mar/11/using-llms-for-code/

I'm one of the loudest voices about the so-far unsolved security problems inherent in this space: https://simonwillison.net/tags/prompt-injection/ (94 posts)

I also have 149 posts about the ethics of it: https://simonwillison.net/tags/ai-ethics/ - including one of the first high profile projects to explore the issue around copyrighted data used in training sets: https://simonwillison.net/2022/Sep/5/laion-aesthetics-weekno...

One of the reasons I do the "pelican riding a bicycle" thing is that it's a great way to deflate the hype around these tools - the supposedly best LLM in the world still draws a pelican that looks like it was done by a five year old! https://simonwillison.net/tags/pelican-riding-a-bicycle/

If you want AI hype there are a thousand places on the internet you can go to get it. I try not to be one of them.

annjose · a year ago
I agree - the content you write about LLMs is informative and realistic, not hyped. I get a lot of value from it, especially because you write mostly as stream of consciousness and explains your approach and/or reasoning. Thank you for doing that.

u/annjose

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