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Dependency Resolution Methods

https://nesbitt.io/2026/02/06/dependency-resolution-methods.html
1•zdw•24s 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•45s ago•0 comments

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

https://www.iplotcsv.com/demo
1•maxmoq•1m 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•2m 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•5m ago•1 comments

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

https://paperinvest.io/arena
1•andrenorman•7m 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•11m ago•0 comments

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

https://github.com/ricardomoratomateos/distill
1•ricardomorato•11m 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•13m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•13m 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•16m 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•19m ago•0 comments

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

https://cloudbot-ai.com
2•fainir•21m ago•0 comments

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

https://poddley.com
1•onesandofgrain•22m ago•0 comments

Same Surface, Different Weight

https://www.robpanico.com/articles/display/?entry_short=same-surface-different-weight
1•retrocog•24m 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•29m ago•0 comments

Will Future Generations Think We're Gross?

https://chillphysicsenjoyer.substack.com/p/will-future-generations-think-were
1•crescit_eundo•32m 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•35m 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•36m ago•0 comments

Impl Rust – Avro IDL Tool in Rust via Antlr

https://www.youtube.com/watch?v=vmKvw73V394
1•todsacerdoti•36m ago•0 comments
Open in hackernews

We’re more patient with AI than with each other

https://www.uxtopian.com/journal/were-more-patient-with-ai-than-one-another
21•lucidplot•3w ago

Comments

CharlieDigital•3w ago
The AI doesn't judge, it doesn't have ego, and generally, if it does poorly, it's more a reflection of the user providing the inputs (giving bad instructions or not enough context).

So in a sense, we are more forgiving of ourselves more than anything.

Grimblewald•3w ago
Eh, sometimes the instructions you need to give are almost the code you need itself, at which point its better to just write the code rather than have it fuck your logic for you.

in fact, in my domain, that's almost always the case. LLM's rarely get it right. Getting something done that would take me a day, takes a day with an LLM, only now I don't fully understand what was written, so no real value add, just loss.

It sure can be nice for solved problems and boilerplate tho.

xboxnolifes•3w ago
> if it does poorly, it's more a reflection of the user providing the inputs (giving bad instructions or not enough context).

Sounds a lot like the understanding we should have with each other.

spwa4•2w ago
Humans are social animals. Any interaction with anyone else (except perhaps kids, and even then) is a competition, or at least, is at risk of turning into a competition at the drop of a hat. And humans just love competing with each other over anything at all, like all social animals do.
lovich•3w ago
I don't find the conclusions plausible. It's completely ignoring that AI is a machine and not in our social hierarchy, while humans are, and we have a large section of wetware devoted to constantly judging the social hierarchy and rules.

At least personally this was obvious to me years before AI was around. Whenever we had clear data that came to an obvious conclusion, I found that it didn't matter if _I_ said the conclusion, regardless of if the data was included. I got a lot more leeway by simply presenting the data to represent my conclusion and let my boss come to it.

In the first situation the conclusion was now _my_ opinion and everyone's feelings got involved. In the second the magic conch(usually a spreadsheet) said the opinion so no feelings were triggered.

Kwpolska•3w ago
> No frustration. No judgment. Just iteration.

[citation needed]

This entire article is just meaningless vibes of one guy who sells AI stuff.

bitwize•3w ago
Also, what are the "rule of three" and constructions of the form "no X, no Y, just Z" indicative of?

Bruh either had help, or he's the most trite writer ever.

lovich•3w ago
Well also get to the point eventually where people are writing like AI because they’re exposed to it so much. I’ve caught myself rephrasing certain posts after I realized it sounded like AI
funnyenough•3w ago
I am more patient with kids, dogs, etc.
dfajgljsldkjag•3w ago
It is funny how we are so willing to iterate on a prompt for ten minutes but we get annoyed when we have to repeat ourselves to a person. I think we could all benefit from not taking things so personally at work.
drooby•3w ago
While I whole heartedly agree with your conclusion..

It's worth noting that much of the frustration stems from expectations.

I don't expect an AI to learn and "update their weights"..

I do however expect colleagues to learn at a specific rate. A rate that I a believe should meet or exceed my company's standards for, uh, human intelligence.

edgarvaldes•3w ago
With a program or machine, I can cut the interaction at any time, walk away and not feel rude.
perrygeo•3w ago
Speaking only of written communication here: I've noticed a distinct trend of people stopping documentation, comments, release notes, etc. intended for human consumption and devoting their writing efforts to building skills, prompts, CLAUDE.md intended for machines.

While my initial reaction was dystopian horror that we're losing our humanity, I feel slightly different after sitting with it for a while.

Ask yourself, how effective was all that effort really? Did any humans actually read and internalize what was written? Or did it just rot in the company wiki? Were we actually communicating effectively with our peers, or just spending lots of time on trying to? Let's not retcon our way to believing the pre-AI days were golden. So much tribal knowledge has been lost, NOT because no one documented it but because no one bothered to read it. Now at least the AI reads it.