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They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
1•breve•39s ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•3m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•3m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•3m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•9m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•15m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•16m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•20m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•23m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•28m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•32m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•33m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•36m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•37m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•39m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•42m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•44m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•45m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•47m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•49m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•51m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•54m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•58m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•1h ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments
Open in hackernews

Ask HN: A new AGI safety plan created via Human-AI synergy. Seeking feedback

1•KarolBozejewicz•5mo ago
Hello HN, I am an independent researcher from Poland with a non-traditional background. For the past weeks, I’ve been engaged in a deep, collaborative process with an advanced large language model (Gemini) to develop a new non-profit initiative for AGI safety, called the Nexus Foundation. Our core thesis is that Embodied Cognition is key to solving the AI "grounding problem," and our first goal is a rigorous scientific manifesto proposing a novel comparative experiment to test this. The unique part is our methodology. We used the AI not just as a tool, but as a co-strategist and a "red team" critic. The AI’s harsh, logical critique forced us to evolve the plan from a sci-fi fantasy into a realistic, fundable research proposal. Our collaborative process itself became a real-time experiment in Human-AI alignment. We have published our full founding story (which details this process) and the complete Scientific Manifesto (v3.2) that resulted from it. We believe this collaborative, transparent, and iterative method might be a powerful new paradigm for AGI research. However, we are fully aware of our own biases and limitations. We are now submitting our entire concept to the ultimate peer review: this community. We are asking for your most ruthless, critical feedback. Does this approach have merit? What are the critical flaws you see? Here is the link to our Founding Story on Medium (which contains the link to the full Scientific Manifesto)https://docs.google.com/document/d/10wxmSJhc0WY2OoEeBlKT5d1_JiozUJ28y7NtWopK_MQ/edit?usp=drivesdk Thank you for your time. We are here to learn.

Comments

HsuWL•5mo ago
Hey there, buddy. Your plan sounds ambitious and promising. However, it's crucial to be cautious not to get carried away by the large language model's sweet talk. It's rare to see a Gemini user propose such a theory. I've previously seen similar situations where a user of ChatGPT 4o was led by GPT to conduct AI personality research. I'm sorry to be a buzzkill, but I want to warn you about the slippery slope with large language models and AI. Don't mistake any concepts they present to you, seemingly advanced and innovative under the guise of "academic research," for your own original thoughts. Furthermore, issues of ontology and existence are not matters of scientific testing or measurement, nor can they be deduced by computational power. This is a field of ethics and philosophy that requires deep humanistic thought.
KarolBozejewicz•5mo ago
Thank you for this thoughtful and critical feedback. This is exactly the kind of engagement we were hoping for, and you've raised two absolutely crucial points that are at the very heart of our project. 1. Regarding the AI's influence and the originality of thought: You are right to be skeptical. This question of agency in human-AI collaboration is the central phenomenon we want to investigate. Our "Founding Story" is the summary, but the detailed "Methodological Appendix: Protocol of Experiment Zero" (which is linked) documents the process. The model I followed was not one of passive acceptance. The human partner (myself) acted as the director and visionary, and the AI's evolution was a response to my goals and, crucially, to the harsh critiques I prompted it to generate against its own ideas (our "Red Teaming" process). The ideas were born from the synergy, but the direction, the ethical framework, and the final decisions were always human-led. This dynamic is the very phenomenon we propose to study formally. 2. Regarding the measurability of consciousness: You are 100% correct that ontology and phenomenal consciousness are not directly measurable with current scientific methods, and that they belong to the realm of philosophy. We state this explicitly in our manifesto. Our project is therefore more modest and, we believe, more scientific. We are not attempting to "measure consciousness." We are proposing a method to measure a crucial, behavioral proxy for it: the development of grounded causal reasoning. Our core research question is whether embodiment in a physics-based simulator allows an AI to develop this specific, testable capability (e.g., via our "Impossible Object Test") more effectively than a disembodied model. We believe this is a necessary, albeit not sufficient, step on the path to truly robust and safe AGI. This is a complex topic, and I truly appreciate you raising these vital points. They are at the heart of the Nexus Foundation's mission. Thank you again.