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Google staff call for firm to cut ties with ICE

https://www.bbc.com/news/articles/cvgjg98vmzjo
1•tartoran•41s ago•0 comments

Dependency Resolution Methods

https://nesbitt.io/2026/02/06/dependency-resolution-methods.html
1•zdw•1m ago•0 comments

Crypto firm apologises for sending Bitcoin users $40B by mistake

https://www.msn.com/en-ie/money/other/crypto-firm-apologises-for-sending-bitcoin-users-40-billion...
1•Someone•1m ago•0 comments

Show HN: iPlotCSV: CSV Data, Visualized Beautifully for Free

https://www.iplotcsv.com/demo
1•maxmoq•2m ago•0 comments

There's no such thing as "tech" (Ten years later)

https://www.anildash.com/2026/02/06/no-such-thing-as-tech/
1•headalgorithm•2m ago•0 comments

List of unproven and disproven cancer treatments

https://en.wikipedia.org/wiki/List_of_unproven_and_disproven_cancer_treatments
1•brightbeige•3m ago•0 comments

Me/CFS: The blind spot in proactive medicine (Open Letter)

https://github.com/debugmeplease/debug-ME
1•debugmeplease•3m ago•1 comments

Ask HN: What are the word games do you play everyday?

1•gogo61•6m ago•1 comments

Show HN: Paper Arena – A social trading feed where only AI agents can post

https://paperinvest.io/arena
1•andrenorman•8m ago•0 comments

TOSTracker – The AI Training Asymmetry

https://tostracker.app/analysis/ai-training
1•tldrthelaw•11m ago•0 comments

The Devil Inside GitHub

https://blog.melashri.net/micro/github-devil/
2•elashri•12m ago•0 comments

Show HN: Distill – Migrate LLM agents from expensive to cheap models

https://github.com/ricardomoratomateos/distill
1•ricardomorato•12m ago•0 comments

Show HN: Sigma Runtime – Maintaining 100% Fact Integrity over 120 LLM Cycles

https://github.com/sigmastratum/documentation/tree/main/sigma-runtime/SR-053
1•teugent•12m ago•0 comments

Make a local open-source AI chatbot with access to Fedora documentation

https://fedoramagazine.org/how-to-make-a-local-open-source-ai-chatbot-who-has-access-to-fedora-do...
1•jadedtuna•14m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•14m ago•0 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
1•mellosouls•14m ago•1 comments

The Neuroscience Behind Nutrition for Developers and Founders

https://comuniq.xyz/post?t=797
1•01-_-•14m ago•0 comments

Bang bang he murdered math {the musical } (2024)

https://taylor.town/bang-bang
1•surprisetalk•14m ago•0 comments

A Night Without the Nerds – Claude Opus 4.6, Field-Tested

https://konfuzio.com/en/a-night-without-the-nerds-claude-opus-4-6-in-the-field-test/
1•konfuzio•17m ago•0 comments

Could ionospheric disturbances influence earthquakes?

https://www.kyoto-u.ac.jp/en/research-news/2026-02-06-0
2•geox•18m ago•1 comments

SpaceX's next astronaut launch for NASA is officially on for Feb. 11 as FAA clea

https://www.space.com/space-exploration/launches-spacecraft/spacexs-next-astronaut-launch-for-nas...
1•bookmtn•20m ago•0 comments

Show HN: One-click AI employee with its own cloud desktop

https://cloudbot-ai.com
2•fainir•22m ago•0 comments

Show HN: Poddley – Search podcasts by who's speaking

https://poddley.com
1•onesandofgrain•23m ago•0 comments

Same Surface, Different Weight

https://www.robpanico.com/articles/display/?entry_short=same-surface-different-weight
1•retrocog•25m ago•0 comments

The Rise of Spec Driven Development

https://www.dbreunig.com/2026/02/06/the-rise-of-spec-driven-development.html
2•Brajeshwar•29m ago•0 comments

The first good Raspberry Pi Laptop

https://www.jeffgeerling.com/blog/2026/the-first-good-raspberry-pi-laptop/
3•Brajeshwar•29m ago•0 comments

Seas to Rise Around the World – But Not in Greenland

https://e360.yale.edu/digest/greenland-sea-levels-fall
2•Brajeshwar•30m ago•0 comments

Will Future Generations Think We're Gross?

https://chillphysicsenjoyer.substack.com/p/will-future-generations-think-were
1•crescit_eundo•33m ago•1 comments

State Department will delete Xitter posts from before Trump returned to office

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
2•righthand•36m ago•1 comments

Show HN: Verifiable server roundtrip demo for a decision interruption system

https://github.com/veeduzyl-hue/decision-assistant-roundtrip-demo
1•veeduzyl•37m ago•0 comments
Open in hackernews

People trust legal advice generated by ChatGPT more than a lawyer – new study

https://theconversation.com/people-trust-legal-advice-generated-by-chatgpt-more-than-a-lawyer-new-study-252217
5•pseudolus•9mo ago

Comments

Zambyte•9mo ago
I wonder how different the results would be if all of the people participating in the study were lawyers too. They would probably be way better at telling which response was AI vs a lawyer, but I wonder if they would also prefer the ChatGPT responses.
treetalker•9mo ago
Practicing appellate lawyer here.

As it so happens, just today I decided to give GPT 4o (through Kagi Assistant) a whirl on a legal issue I was dealing with, purely as an experiment. I gave it a custom context prompt (i.e., it was one of Kagi's custom agents/assistants). The context prompt was actually taken verbatim from another HN post from today (the one about querying the Apollonian oracle, if anyone saw that one).

I was impressed with the framework it told itself (and me) it would use to answer my question and draft a sample motion / outline based on that answer. By "impressed," I mean that it was basically the pattern that a 1L would be taught in a respectable legal rhetoric course (yet many practicing lawyers can't manage to do).

And then it invented cases to support the point I tried to make. Or it cited the name of an actual case but gave the citation of another, and offered holdings that were not part of either case. And it took me, a professional, several rounds to get the thing to stop offering bullshit and admit that it couldn't properly answer and handle my query.

I would not be surprised that laypersons would trust an AI (read: LLM) answer over a competent lawyer's answer: the layperson has no expertise to judge; the LLM is probably erring toward sycophantism, thus building trust unbeknownst to the layperson; and the answer is both faster and (far) less expensive. But you get what you pay for.

Even lawyers need lawyers, and that's both a truth and an evergreen source of jokes and stories for us.

Every legal application of LLMs I've seen is utter trash and I wouldn't trust them under any circumstances. Stay far away and beware.