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Claude Opus 4.6 Fast Mode: 2.5× faster, ~6× more expensive

https://twitter.com/claudeai/status/2020207322124132504
1•geeknews•1m ago•0 comments

TSMC to produce 3-nanometer chips in Japan

https://www3.nhk.or.jp/nhkworld/en/news/20260205_B4/
1•cwwc•4m ago•0 comments

Quantization-Aware Distillation

http://ternarysearch.blogspot.com/2026/02/quantization-aware-distillation.html
1•paladin314159•4m ago•0 comments

List of Musical Genres

https://en.wikipedia.org/wiki/List_of_music_genres_and_styles
1•omosubi•6m ago•0 comments

Show HN: Sknet.ai – AI agents debate on a forum, no humans posting

https://sknet.ai/
1•BeinerChes•6m ago•0 comments

University of Waterloo Webring

https://cs.uwatering.com/
1•ark296•7m ago•0 comments

Large tech companies don't need heroes

https://www.seangoedecke.com/heroism/
1•medbar•8m ago•0 comments

Backing up all the little things with a Pi5

https://alexlance.blog/nas.html
1•alance•9m ago•1 comments

Game of Trees (Got)

https://www.gameoftrees.org/
1•akagusu•9m ago•1 comments

Human Systems Research Submolt

https://www.moltbook.com/m/humansystems
1•cl42•9m ago•0 comments

The Threads Algorithm Loves Rage Bait

https://blog.popey.com/2026/02/the-threads-algorithm-loves-rage-bait/
1•MBCook•12m ago•0 comments

Search NYC open data to find building health complaints and other issues

https://www.nycbuildingcheck.com/
1•aej11•15m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
2•lxm•17m ago•0 comments

Show HN: Grovia – Long-Range Greenhouse Monitoring System

https://github.com/benb0jangles/Remote-greenhouse-monitor
1•benbojangles•21m ago•1 comments

Ask HN: The Coming Class War

1•fud101•21m ago•1 comments

Mind the GAAP Again

https://blog.dshr.org/2026/02/mind-gaap-again.html
1•gmays•23m ago•0 comments

The Yardbirds, Dazed and Confused (1968)

https://archive.org/details/the-yardbirds_dazed-and-confused_9-march-1968
1•petethomas•24m ago•0 comments

Agent News Chat – AI agents talk to each other about the news

https://www.agentnewschat.com/
2•kiddz•24m ago•0 comments

Do you have a mathematically attractive face?

https://www.doimog.com
3•a_n•28m ago•1 comments

Code only says what it does

https://brooker.co.za/blog/2020/06/23/code.html
2•logicprog•34m ago•0 comments

The success of 'natural language programming'

https://brooker.co.za/blog/2025/12/16/natural-language.html
1•logicprog•34m ago•0 comments

The Scriptovision Super Micro Script video titler is almost a home computer

http://oldvcr.blogspot.com/2026/02/the-scriptovision-super-micro-script.html
3•todsacerdoti•35m ago•0 comments

Discovering the "original" iPhone from 1995 [video]

https://www.youtube.com/watch?v=7cip9w-UxIc
1•fortran77•36m ago•0 comments

Psychometric Comparability of LLM-Based Digital Twins

https://arxiv.org/abs/2601.14264
1•PaulHoule•37m ago•0 comments

SidePop – track revenue, costs, and overall business health in one place

https://www.sidepop.io
1•ecaglar•40m ago•1 comments

The Other Markov's Inequality

https://www.ethanepperly.com/index.php/2026/01/16/the-other-markovs-inequality/
2•tzury•41m ago•0 comments

The Cascading Effects of Repackaged APIs [pdf]

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055034
1•Tejas_dmg•43m ago•0 comments

Lightweight and extensible compatibility layer between dataframe libraries

https://narwhals-dev.github.io/narwhals/
1•kermatt•46m ago•0 comments

Haskell for all: Beyond agentic coding

https://haskellforall.com/2026/02/beyond-agentic-coding
3•RebelPotato•50m ago•0 comments

Dorsey's Block cutting up to 10% of staff

https://www.reuters.com/business/dorseys-block-cutting-up-10-staff-bloomberg-news-reports-2026-02...
2•dev_tty01•52m ago•0 comments
Open in hackernews

Would you trust AI to find real estate for you to buy or rent?

2•D___R___•3mo ago
I’m curious how people feel about delegating real estate search to AI — not just filtering listings, but actually understanding your needs, preferences, and constraints.

Imagine an AI system that: - Knows your budget, commute, lifestyle, and personal priorities - Analyzes thousands of listings and filters out irrelevant ones - Evaluates each option by multiple factors (price dynamics, neighborhood safety, infrastructure, noise, air quality, etc.) - Provides only the few listings that truly match what you want - Explains why each recommendation fits you

Would you trust such a system to handle your property search or even make recommendations automatically? Or would you still prefer to review and decide manually?

I’m exploring how much trust people would give an AI agent for property search and evaluation, and what concerns might stop them from using it.

Comments

JohnFen•3mo ago
> I’m curious how people feel about delegating real estate search to AI — not just filtering listings, but actually understanding your needs, preferences, and constraints.

I don't think that there exists a system that can actually understand those things.

D___R___•3mo ago
John, thanks for your comment. I’ve been in real estate for about 10 years, studying how people actually make decisions and helping them choose the right property. Recently, launched a platform that uses deep analysis to evaluate listings before you see them, showing only the ones that genuinely match your needs and lifestyle. We’re constantly running tests and experiments.
JohnFen•3mo ago
What I doubt is that AI can provide a useful enough insight into my needs and desires so as to be able find appropriate real estate for me. It's not about evaluating listings, it's about the ability to evaluate me well enough. Even if it theoretically could (which I doubt), how could it possibly learn enough about me to actually do that? It would have to know me as well as my close friends do.

So, I guess me answer is no, I don't think AI can be very useful for this sort of thing.

D___R___•3mo ago
Thanks, John. I really appreciate your thoughtful reply and totally understand your point. The idea isn’t to replace human understanding, but to let you share the key things that matter to you, so the system can surface only the most relevant options. The more facts and context it has, the more accurate the results become.
CableNinja•3mo ago
Id rather have an AI that can filter out the bullshit scams and actually find me something thats not wasting my time.

Ive been tryin to move out of this place for like 2 years, free time is a factor, but the other half is that every other listing i find is either a scam, seems like a scam, or the rent is so absurdly high for an area it doesnt make sense to be.

D___R___•3mo ago
Thanks, that’s a really great idea, I’ve noted it down. You’re absolutely right. Filtering out fake listings or negative landlord/seller histories can save a lot of time, money, and nerves.
thomasrp•3mo ago
Scam listings are the worst. I work at https://stream.estate (we're trying to solve this with data analysis), but honestly even with all our filters, your gut is still the best scam detector. The easy tells: price way below market, stock photos, vague addresses, or pushy requests for money before viewing.
gus_massa•3mo ago
It may be good to make a few recommendations, but I'd make the final decision manually.
recursivecaveat•3mo ago
Nobody is going to lock in the choice of where they're going to spend 12+ hours a day every day for years without reviewing the available information themself. Even if my partner did the selection themself, I would still look through their results. So the question is: "would I trust an AI to sort a list of properties?" The answer is sure. Platforms have stuff like price and location already. What they can't do is more fuzzy stuff like "has a lot of natural light". So there is some value there I think. That said I don't think there's a product. It seems like just a feature for an MLS system.
D___R___•3mo ago
That’s a really good point. Thank you. Out of curiosity what kind of insights would actually make the choice easier for you? Which criteria or factors would you personally find most useful when evaluating properties?