I don't fucking understand why so fucking many online docs and online sources on how to compile the linux kernel overcomplicate things. Here's the Aryan way of doing it.

1. Copy paste the determinate nix installer command on your terminal (https://determinate.systems/).
2. git clone https://github.com/torvalds/linux.git && cd linux
3. nix develop nixpkgs#linux
4. make -j $(nproc)

There you go. That's it. Start deleting lines randomly. Put random patches that you find. Place breakpoints at random places (Nir Lichtman has a video on youtube on how to do it).

Your $PATH isn't polluted, you can learn about how stuff works. You can revert with a git reset, you can quickly check the commit history.

No need to make some kind of ritual about it, no need to get into some course or find the learning path, or "rice" your userspace, or wear "programming socks", or remotely pay attention to tech twitter, or have some sick OS lolicon anthropomorphism as your desktop wallpaper— god forbid I have comments enabled because there would be a non-zero probability one of you readers might be this kind of person.

NEW - UFC star Conor McGregor at the White House says the government in Ireland allows illegal immigrants to overrun towns.

@disclosetv

I nominate myself for the "I fell for the fell for it again award again" award.

This is an OS install I'm only talking about the kernel. No I won't "interject for a moment" iykyk

Do not confuse their fake economy with our real economy. The bubble is bound to burst - sooner or later.

"Balatro" (also known as Windows Joker) was a scrapped roguelite deck-building game, slated to be bundled in Windows Vista as one of the premium games.

(src)

https://youtu.be/Bu3S2A02FFc get a load of this

PEWDIEPIE BECAME BASED OMGGGGGGGG!!!!;:;##++$;%;$(:)#(;#;:::*

ūuuuooowwwwhh... this is making me suck air through my teeth

I'm cringing hard rn

Links for 2025-03-19

AI

1. The first automated theorem-proving framework for (hyperbolic) PDE solvers: now you can build *formally verified* physics simulations, with provable mathematical and physical correctness properties. https://arxiv.org/abs/2503.13877

2. Claude Sonnet 3.7 (often) knows when it’s in alignment evaluations https://www.lesswrong.com/posts/E3daBewppAiECN3Ao/claude-sonnet-3-7-often-knows-when-it-s-in-alignment

3. Anthropic: “some reflections from the past year of red teaming models in these domains” https://www.anthropic.com/news/strategic-warning-for-ai-risk-progress-and-insights-from-our-frontier-red-team

4. “I wouldn't be surprised if, in three to five years, language models are capable of performing most (all?) cognitive economically-useful tasks beyond the level of human experts.” https://nicholas.carlini.com/writing/2025/thoughts-on-future-ai.html

5. R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization https://arxiv.org/abs/2503.12937

6. DAPO: An Open-Source LLM Reinforcement Learning System at Scale https://arxiv.org/abs/2503.14476

7. Introducing the First End-to-End Platform for Reinforcement Fine-Tuning https://predibase.com/blog/introducing-reinforcement-fine-tuning-on-predibase

8. Cancermorphic Computing Toward Multilevel Machine Intelligence https://arxiv.org/abs/2503.12743

9. Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models https://arxiv.org/abs/2503.13551

10. DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding https://arxiv.org/abs/2503.12797

11. LG AI research unveils EXAONE Deep, a reasoning AI with enhanced reasoning capabilities capable of competing with these industry-leading models. https://www.lgresearch.ai/blog/view?seq=543

12. An Open Foundation Model for Humanoid Robots https://research.nvidia.com/publication/2025-03_nvidia-isaac-gr00t-n1-open-foundation-model-humanoid-robots

13. MARLadona: Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning https://www.youtube.com/watch?v=klETyDnWO2w

14. “AI has a profound ability to model more complex - and mysterious - systems, from the human body and global weather to Earth in its entirety.” https://www.ted.com/talks/raia_hadsell_the_ai_breakthroughs_we_ve_overlooked_and_how_they_re_transforming_science

15. Dreaming of daily life with superintelligent AI https://www.ted.com/talks/stephanie_zhan_dreaming_of_daily_life_with_superintelligent_ai

16. Synthetic Data Paves the Way for Self-Driving Cars https://spectrum.ieee.org/synthetic-data-self-driving

Neuroscience

1. A Neuralink Rival Says Its Eye Implant Restored Vision in Blind People https://www.wired.com/story/science-corporation-neuralink-eye-implant-restored-vision-blind-people/ [no paywall: https://archive.is/bkuLo]

2. To the brain, Esperanto and Klingon appear the same as English or Mandarin https://news.mit.edu/2025/esperanto-klingon-appear-same-english-mandarin-in-brain-0318

Tech & Science

1. Ripping the fabric of space. Engineered bioweapons. Uncontrolled AGI. Extinction of the human species: What could cause it and how likely is it to occur? https://www.cambridge.org/core/journals/cambridge-prisms-extinction/article/extinction-of-the-human-species-what-could-cause-it-and-how-likely-is-it-to-occur/D8816A79BEF5A4C30A3E44FD8D768622

2. The feasibility of bug-resistant software, referencing DARPA's HACMS project, and introduces "flexHEG," a hardware security framework ensuring confidentiality, integrity, and availability without enabling covert surveillance, highlighting its adaptability and robust defense against various attacks. https://www.youtube.com/watch?v=4wgImjg9PPc

3. “The world will soon use human germline genomic engineering technology. The benefits will be enormous: Our children will be long-lived, will have strong and diverse capacities, and will be halfway to the end of all illness.” https://www.lesswrong.com/posts/rxcGvPrQsqoCHndwG/the-principle-of-genomic-liberty

Harvard study: open-source has an economic value of 8.8T dollars
Article, Comments

Permissive license FOSStards are worse than jannies

Sexta a noite