Wandering Adventure Party

But… I thought… Space was the one place not yet corrupted by capitalism… sad Tim Curry noises

Reminds me of https://youtube.com/shorts/xlGuBT5GT10

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@cesarpose How do they even "create" mice with autism if they don't know exactly what causes it? All I can see is that they are mimicking the genetic aspects they have identified and hoping.

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Although the discovery was darkened somewhat by the reveal that 98% of whalesong is manosphere content.

I mean, even if we screw up, the cockroaches will get another chance. That is good news for me.

Over the past several decades, researchers have been making rapid progress in harnessing light to enable all sorts of scientific and industrial applications. From creating stupendously accurate clocks to processing the petabytes of information zipping through data centers, the demand for turnkey technologies that can reliably generate and manipulate light has become a global market worth hundreds of billions of dollars. One challenge that has stymied scientists is the creation of a compact source of light that fits onto a chip, which makes it much easier to integrate with existing hardware. In particular, researchers have long sought to design chips that can convert one color of laser light into a rainbow of additional colors—a necessary ingredient for building certain kinds of quantum computers and making precision measurements of frequency or time.

"You can't determine the next thought you will think but you can change the distributions that it will choose from." ~ Michael Levin, Biologist. #errtlings #Michael_Levin #cognition #science #bookcafe #writing #idea #thought #ai #android_dreams

Lab animals don’t just run around. If they escape, there’s a serious problem in the research facility. Their teeth are only a concern for the researchers working with them. Everyone would be happy if we had an easier model than animals. If organoids could give us all the answers we get from lab animals, all the scientists would be happy. Not only would it get rid of many ethical issues (and associated administrative), it would also be cheaper. Sadly, it’s not the case and we cannot effectively replace lab animals by other model systems. Not for many applications anyway.

Nature can exert similar pressures without intelligence involved.

Doors and corners, kid. 🤌

Cute bird. Thanks for posting!

I’ve updated the Illustration. Seems like they got it straight from the university press release here. I guess we can cut them some slack for using a bit of AI given the recent job losses at that university. They are reported to have lost around 4000 full time staff places in the last year, part of Australia’s recent cut backs to universities that don’t get much international reporting. That’s may hurt their ability to do quality research. Professor Archer noted that "quite clearly, from the many fascinating animals that we’ve already found in this deposit since 1983, we know that with more digging there will be a lot more surprises to come,”. So lets hope they continue to get support. [image: 27bbebf3-588f-4756-8647-3911b90fbdd1.jpeg]

cross-posted from: https://mander.xyz/post/41671286 Archived version The European Commission is preparing to block Chinese institutions from significant portions of its €95.5 billion ($110 billion) Horizon Europe research program, citing intellectual property risks and links between Chinese universities and Beijing’s military. A draft document for the Horizon Europe “main” work program for 2026/2027 proposes excluding Chinese entities from three of the six research areas: civil security and society; health; and digital, industry and space technologies. The proposals have not yet been adopted or endorsed by the European Commission, although they are clearly being considered. The restrictions respond to lack of progress on an EU-China cooperation roadmap established at the 2019 Innovation Cooperation Dialogue. The Commission points to persistent concerns about protecting trade secrets and potential transfer of knowledge to China’s military, which it says are “supported rather than deterred” by Beijing’s policies. “In view of the persistent lack of progress in the discussions on the Roadmap and the substantive concerns in relation to the undesired transfer of IP to China supported by both legislative and policy initiatives, cooperation involving entities established in China needs to be calibrated accordingly,” it states. …

… China’s leadership is moving further away from its promises, despite Xi [Jinping]’s claims of ostensible progress, asserting that Chinese women are now “participating in the entire process of national and social governance with unprecedented confidence and vigor,” and positioning them as “protagonists.” The clearest testament to this regression lies in Xi’s addresses to the All-China Women’s Federation (ACWF) – the official state women’s organization under the Communist Party – in 2013, 2018, and 2023. Across these speeches, Xi consistently advanced patriarchal narratives that cast women primarily as caretakers and moral anchors within the family. Yet his 2023 address marked a further step, urging the cultivation of “a new type of marriage and parenting culture” and the promotion of childbirth, effectively marginalizing women’s professional work and silencing their agency beyond domestic and reproductive roles. … Women in STEM are celebrated as symbols of national progress [in China], yet this recognition often amounts to ideological instrumentalization. They are valued primarily as a labor force to drive national development goals and to project an image of modernity, progress, and national strength, rather than as fully empowered agents in their own right. Simultaneously, this exists in stark tension with the state’s enduring patriarchal and pro-natalist policies, driven by demographic concerns, which continue to frame women primarily as reproducers and custodians of family life. This paradox is also exposed by the data which reveals that beneath the state’s celebration of women’s purported achievements in science and technology lies a persistent pattern of underrepresentation, pay disparities, and barriers that limit advancement. Official figures show that nearly 40 million women are employed in science and technology, making up 45.8 percent of China’s STEM workforce. Yet fewer than three million work in research and development. … In 2022–23, women accounted for 63 percent of all new university entrants, but in elite institutions and STEM-focused majors, male dominance quickly reasserts itself. At the prestigious C9 universities (China’s top tier), female undergraduates make up only 37.7 percent, well below the national average. Disciplinary divides are even starker: physics departments in some universities record male-to-female ratios of 19:1, while women comprise only 25–30 percent of students in computer science and electronic engineering. … Women also face systemic disadvantages in funding and visibility. They are underrepresented on peer review panels and high-level selection committees, reducing their chances of securing grants. Although women make up roughly half of university instructors, they occupy only one-third of master’s advisor roles and fewer than 17 percent of doctoral advisor positions. Pay disparities are substantial: across sectors and education levels, women earn on average only 71.6 percent of what men do. In high-prestige publishing, the imbalance is also stark: in 2023, only five of 101 corresponding authors with Chinese affiliations in “Nature” were women, highlighting their scarcity in global scientific leadership. … Yet the challenges women face in STEM are not isolated – they reflect a longer history of gendered constraints and feminist activism in China. As early as the late nineteenth and early twentieth centuries, Western feminism, rooted in liberal ideals of individual rights and autonomy, sought to affirm women as rational citizens entitled to legal and political recognition. Chinese feminism, by contrast, emerged in the context of national modernization and liberation from feudalism and imperialism. Following 1949, Mao Zedong’s famous dictum that “women hold up half the sky” reframed empowerment as a collective contribution to socialist nation-building rather than a pursuit of individual rights. …

Consistent with these findings, our study confirmed rapid S1 protein entry into multiple brain regions and demonstrated that S1 exposure leads to impairments in episodic memory, spatial learning, and increased anxiety, suggesting that persistent spike protein contributes to long-term cognitive decline. Earlier in the article they state that around 28% of surviving patients experience “brain fog” for months or years. That is people that have it bad enough to search for medical care. This many people having lower memory and learning abilities and living with heightened anxiety would explain a lot of things.

30 September 2025 Editor’s note: Readers are alerted that the authors have identified errors in the data presented in this article. Further editorial action will be taken if appropriate once the original data have been validated and the impact of the required changes to the article has been reviewed by the Editors.

Maybe it’s a related reference to another property. Sorry dude, didn’t mean to upset you.

Researchers used an AI based on GPT architecture to map the brain, and they found it’s way more complex than we thought. Instead of the ~52 broad regions we’ve been working with, the AI identified about 1,300 distinct areas. They trained a model called Cell Transformer on mouse brain scans. Instead of learning language, it learned the “grammar” of how brain cells are organized relative to their neighbors. It then automatically drew the borders between brain regions with high precision, revealing hidden neighborhoods we never knew existed. With a map this detailed, researchers can now pinpoint the tiny, specific cellular areas involved in conditions like Alzheimer’s and depression. Having such a detailed map could massively speed up research and lead to much more targeted and effective treatments in the future.