2. Scientists warn Atlantic current at risk of shutting down (e360.yale.edu)

Scientists are increasingly worried that a vast system of ocean circulation, which delivers warmth to northern Europe and impacts climate globally, is at risk of collapse. Mounting evidence suggests it may be nearing a tipping point, though the research is far from certain.

4. Rotten Dot Com (www.theparisreview.org)

May 6, 2026 – β€œRotten.com was a haunted arcade, dispensing trauma in gumball-machine doses straight to kids with dial-up, who chewed on images never meant for their half-formed stomachs.”

13. Surfel-based global illumination on the web (juretriglav.si)

Can we use WebGPU to compute real-time global illumination with surface patches called surfels? Does it look good enough? Is it fast enough? And can we finally construct viable compute-heavy rendering pipelines right here on the open web? Join me on this journey and let's find out!

14. LLMorphism: When humans come to see themselves as language models (arxiv.org)

LLMorphism is the biased belief that human cognition works like a large language model. I argue that the rise of conversational LLMs may make this bias increasingly psychologically available. When artificial systems produce human-like language, people may draw a reverse inference: if LLMs can speak like humans, perhaps humans think like LLMs. This inference is biased because similarity at the level of linguistic output does not imply similarity in cognitive architecture. Yet, LLMorphism may spread through two mechanisms: analogical transfer, whereby features of LLMs are projected onto humans, and metaphorical availability, whereby LLM vocabulary becomes a culturally salient vocabulary for describing thought. I distinguish LLMorphism from mechanomorphism, anthropomorphism, computationalism, dehumanization, objectification, and predictive-processing theories of mind. I outline its implications for work, education, responsibility, healthcare, communication, creativity, and human dignity, while also discussing boundary conditions and forms of resistance. I conclude that the public debate may be missing half of the problem: the issue is not only whether we are attributing too much mind to machines, but also whether we are beginning to attribute too little mind to humans.

20. Sparse Cholesky Elimination Tree (www.reidatcheson.com)

Here I derive the elimination tree for the (right-looking) sparse Cholesky algorithm for computing A = LL^T for lower triangular L and sparse matrices A. This tree forms the foundation for most sparse factorization software, even when the underlying assumptions of Cholesky (symmetric and definite) do not apply. Ultimately this tree tells us two things: 1. where nonzeros appear in the matrix L even if not present in the original A (i.e. β€œfill-in”) and 2. the task dependency graph of our resulting factorization. Traditionally this concept is usually presented in the context sparse triangular solves which is then used as a building-block to a Cholesky factorization. I wanted to instead work directly from a Cholesky factorization, which is what I do below.

24. Scouting's Real Crisis Is Not Marketing. It Is Decades of Neglect. (www.untendedfire.org)

When the Boy Scouts of America, recently rebranded as Scouting America, gathers in Dallas May 11-15 for its National Annual Meeting, its leaders will confront a crisis that messaging cannot solve. At the end of 2025, the organization’s market share sank to about 1.25 percent of American youth, the lowest since about 1923. The organization...

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