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The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•gozzoo•1m ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•1m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
1•tosh•2m ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•3m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•8m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•10m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•13m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•14m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•14m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•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
1•mitchbob•16m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•16m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•17m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•20m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•24m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•24m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•29m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•30m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•31m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•34m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•36m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•36m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•36m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•37m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•39m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•40m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•43m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•45m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•45m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•45m ago•1 comments
Open in hackernews

How do you spot a Brilliant Jerk?

2•ten-fold•3mo ago
What are the signs that you are dealing with a brilliant jerk, compared to a great software engineer?

The answer I got from AI did not satisfy me as it fundamentally describes bad engineering practices, not what I would call "brilliant".

I'm looking for a list of behaviors in practical situations. For example:

Brilliant because: - can code faster than most - knows how to architect a system for scale ...

Jerk because: - interrupts in meetings - does not acknowledge others' opinions ...

What have you experienced? I'd love to read anecdotes.

(This is to add more color to an article I'm writing)

Comments

aurizon•3mo ago
This brings to mind high functioning autism spectrum people(of which I am a fringe one), although the spectrum is wide/deep and probably encompasses many.
bigyabai•3mo ago
"brilliant jerk" isn't always conflated. There are lots of brilliant people who are very nice, and jerks who have no idea what they're talking about. Trying to forcibly correlate the two is a fast-track to disaster.
AnimalMuppet•3mo ago
Well, they're two orthogonal axes. Brilliant vs. ignorant and/or dumb, and jerk vs. decent human being.

I am not the original author, but I think the point is that when you're hiring, you try to hire someone who's brilliant, or at least not ignorant and/or dumb. But brilliant who is a jerk can destroy your team, so what you should be trying to hire is brilliant and "not jerk".

Too many people making hiring decisions get so focused on brilliant that they miss the other issue. But, as I said, I'm not OP, and this is just my impression of what they're thinking.

ten-fold•3mo ago
Absolutely, thanks for clarifying.

If you have never heard it before, "brilliant jerk" was a term coined at Netflix to describe their top performers who were also toxic to the team and could not be tolerated.

CitrusFruits•3mo ago
I think Jerk might be too specific of a term. You probably just want to be looking out for someone you don't want as a coworker.

My goto question is to ask people what motivates them. There's a wide range of answers, but I usually find that what people disclose often helps me understand them better even if they may appear a bit like a jerk, and I can consequently give them more targeted feedback or coaching. I think spending 30 minutes to get to know someone is worth every second and can really help team cohesion and productivity.

xyzzy123•3mo ago
There are some really common flaws (traits?) that seem correlated with being the type of person who gets unusually good at engineering. Sometimes they're adaptive, sometimes they're not.

Uncompromising - I've had very good leaders who were technically excellent and had very high standards. They could give off strong "jerk" vibes to many because they had values they were not willing to compromise on. They helped produce really high quality output from the team when they were in a leadership position and part of their job was to keep everyone aligned. This seems to work best for tight knit groups though, this style is not very suitable for larger organisations or situations where there are wide differences between people's expectations around workplace culture (you need more scheming vizier for this). Can devolve into an out-of-touch silo or a cult if taken too far. Does not work out well for people who are NOT leading.

Contrarianism - can be a useful personality quirk or a massive time waster, depending on the person, role and severity. Good QA and security work demand at least a little bit of this or they would just be box tickers.

Technical fixation - Strong, fixed ideas about what the best tools and techniques are. Useful because they become strong specialists. OK if aligned with team and project, very painful if not.