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Framing an LLM as a safety researcher changes its language, not its judgement

https://lab.fukami.eu/LLMAAJ
1•dogacel•59s ago•0 comments

Are there anyone interested about a creator economy startup

1•Nejana•2m ago•0 comments

Show HN: Skill Lab – CLI tool for testing and quality scoring agent skills

https://github.com/8ddieHu0314/Skill-Lab
1•qu4rk5314•2m ago•0 comments

2003: What is Google's Ultimate Goal? [video]

https://www.youtube.com/watch?v=xqdi1xjtys4
1•1659447091•2m ago•0 comments

Roger Ebert Reviews "The Shawshank Redemption"

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
1•monero-xmr•4m ago•0 comments

Busy Months in KDE Linux

https://pointieststick.com/2026/02/06/busy-months-in-kde-linux/
1•todsacerdoti•5m ago•0 comments

Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
1•seansh•18m ago•0 comments

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
1•mxfh•19m ago•0 comments

Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

https://www.bloomberg.com/news/articles/2026-02-06/nvidia-ceo-says-ai-capital-spending-is-appropr...
1•virgildotcodes•22m ago•2 comments

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•23m ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•27m ago•0 comments

Show HN: Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•30m ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
2•mitchbob•34m ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
1•creneinc•36m ago•0 comments

India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
2•Osiris30•37m ago•0 comments

Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

https://github.com/TermiX-official/cryptoclaw
1•cryptoclaw•40m ago•0 comments

ShowHN: Make OpenClaw respond in Scarlett Johansson’s AI Voice from the Film Her

https://twitter.com/sathish316/status/2020116849065971815
1•sathish316•42m ago•2 comments

CReact Version 0.3.0 Released

https://github.com/creact-labs/creact
1•_dcoutinho96•44m ago•0 comments

Show HN: CReact – AI Powered AWS Website Generator

https://github.com/creact-labs/ai-powered-aws-website-generator
1•_dcoutinho96•45m ago•0 comments

The rocky 1960s origins of online dating (2025)

https://www.bbc.com/culture/article/20250206-the-rocky-1960s-origins-of-online-dating
1•1659447091•50m ago•0 comments

Show HN: Agent-fetch – Sandboxed HTTP client with SSRF protection for AI agents

https://github.com/Parassharmaa/agent-fetch
1•paraaz•51m ago•0 comments

Why there is no official statement from Substack about the data leak

https://techcrunch.com/2026/02/05/substack-confirms-data-breach-affecting-email-addresses-and-pho...
10•witnessme•55m ago•3 comments

Effects of Zepbound on Stool Quality

https://twitter.com/ScottHickle/status/2020150085296775300
2•aloukissas•59m ago•1 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
2•bigbromaker•1h ago•0 comments

Ask HN: Do we need "metadata in source code" syntax that LLMs will never delete?

1•andrewstuart•1h ago•1 comments

Pentagon cutting ties w/ "woke" Harvard, ending military training & fellowships

https://www.cbsnews.com/news/pentagon-says-its-cutting-ties-with-woke-harvard-discontinuing-milit...
6•alephnerd•1h ago•2 comments

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]

https://cds.cern.ch/record/405662/files/PhysRev.47.777.pdf
1•northlondoner•1h ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
2•pbradv•1h ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
4•hasheddan•1h ago•0 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•1h ago•0 comments
Open in hackernews

Surviving AI

2•dpforesi•2w ago
What follows was written by ChatGPT 5.2 Instant and it reflects my conversation with it about the two articles linked below. Enjoy.

Ego plays a complicated role in periods of technological change. It sharpens skill during stable eras, but it often hinders adaptation during inflection points.

Two recent essays on AI and software engineering illustrate this tension clearly.

Emir Ribic’s “From Craftsmen to Operators” https://dev.ribic.ba/the-rapid-evolution-of-software-engineer-s-role

Ribic frames the rise of AI-assisted development as a loss of craft. He mourns the disappearance of deep, line-by-line problem solving and the sense of authorship that came with it. Engineers, in his telling, are becoming operators—prompting, reviewing, and assembling—rather than builders. The piece captures something real: pride in difficulty, satisfaction in mastery, and the joy of personally solving hard problems.

But that pride is also where ego enters. What’s being lost isn’t just a way of working—it’s a form of status. Manual coding was scarce, hard-won, and socially rewarded. When AI erodes that scarcity, it threatens identity as much as technique. The article largely dwells on that loss, while giving little attention to the exhilaration many engineers feel when modern tools collapse days of work into minutes.

P.C. Maffey’s “AInxiety” https://pcmaffey.com/ainxiety-1/

Maffey takes a more balanced view. He openly acknowledges discomfort, ethical concerns, and the risk of over-reliance on AI, but he also accepts the productivity gains and uses AI extensively in his work. Rather than framing the shift as a fall from craft, he reframes the role: less time spent on syntax, more on design, planning, judgment, and responsibility. Where Ribic sees loss, Maffey sees trade-offs.

Taken together, the contrast suggests a broader pattern we’ve seen before.

During the Industrial Revolution, skilled artisans resisted mechanization not only because of economic threat, but because identity and status were tied to difficulty and exclusivity. The same thing happened when typewriters gave way to personal computers in offices—typing lost its prestige once everyone could do it. In each case, ego slowed adaptation, but also reflected a real commitment to excellence that had previously raised standards.

That leads to a fair synthesis:

Ego hones skill in stable environments. It motivates mastery, pride, and depth. But during technological inflection points, the same ego can become friction—blinding people to leverage, speed, and new forms of craftsmanship.

Progress doesn’t eliminate craft; it relocates it. The challenge isn’t to abandon pride in skill, but to recognize when clinging to old expressions of that skill prevents adaptation to more powerful tools.

The winners in these transitions aren’t ego-free. They’re ego-aware.

Comments

northfield27•2w ago
Agreed - ego does push individuals towards mastery because it provides stability and status. But the ones too tied to ego gets lost in history.

What I don't agree with is the current hype based marketing.

First calculators and computers were sold with the promise of improved productivity and those tools actually delivered in the same time frame. But thats not the case with AI.

Consider this promise: "AI will eat up coding completely". Each CEO claims that 92%-95% percent of coding is done by AI in their company. But if you are active here, you would know that even some senior engineers at big tech don't find it useful in production. I think that these "hype-funded" engineers at CEO's company are just working on toy projects, because I find claims of senior engineers true.

These CEOs make wild claims when many of them haven't actually programmed much. Every interview with these CEOs pushes the year-of-AGI 2-3 years forward.

This is such a time where I really hope the investors actually look into the details, experience the gap between the claims and reality and pull their funding.

dpforesi•2w ago
Agreed. I don't think AI adoption should be strictly driven by people (executives) that are too far removed from the development process to not have clear understanding of how effective the tools are or an understanding of their failure modes. Some of the consternation might be coming from the people working on the code directly, which is probably a healthy feedback loop that should not be ignored.