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ETH Zurich researchers have developed a groundbreaking "living material" that actively captures carbon dioxide from the atmosphere through two mechanisms: biomass production and mineral formation[^1][^2].

The material combines cyanobacteria (photosynthetic bacteria) embedded within a printable hydrogel matrix. The cyanobacteria convert CO2 into biomass through photosynthesis while simultaneously triggering the formation of solid carbonate minerals - a process called microbially induced carbonate precipitation (MICP)[^1].

Key achievements of the material include:

  • Sequestered 2.2 mg of CO2 per gram of hydrogel over 30 days
  • Captured 26 mg of CO2 per gram over 400 days in mineral form
  • Maintained viability for over one year
  • Required only sunlight and artificial seawater to function
  • Can be 3D printed into various structures[^1]

The research team demonstrated practical applications by creating:

  • A 3-meter high tree-trunk structure at the Venice Architecture Biennale that can bind 18kg of CO2 annually
  • Building facade coatings that could capture carbon throughout a building's lifecycle
  • Lattice structures that passively transport nutrients through capillary action[^2]

"As a building material, it could help to store CO2 directly in buildings in the future," said Mark Tibbitt, Professor of Macromolecular Engineering at ETH Zurich[^2].

The material represents a low-maintenance, environmentally friendly approach to carbon capture that operates at ambient conditions using atmospheric CO2, contrasting with industrial methods requiring concentrated CO2 sources and controlled conditions[^1].

[^1]: Nature Communications - Dual carbon sequestration with photosynthetic living materials

[^2]: ETH Zurich - A building material that lives and stores carbon

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A groundbreaking study published in July 2025 demonstrates that African savannah elephants use intentional gestures to communicate their goals, similar to great apes[^1]. The research team presented semi-captive elephants with desired and undesired items, recording their communication attempts when experimenters met, partially met, or failed to meet their goals[^1].

The study identified 38 different gesture types that elephants used almost exclusively when a visually attentive experimenter was present[^1]. The elephants showed three key criteria for intentional communication:

  1. Audience directedness - signaling only when someone was watching
  2. Persistence - continuing to gesture when goals were partially met
  3. Elaboration - using new signals when communication failed

The research was conducted at the Jafuta Reserve in Zimbabwe, where elephants combined specific vocalizations with gestures in greeting behaviors[^6]. They used different types of signals including:

  • Silent-visual gestures
  • Audible gestures
  • Tactile gestures
  • Rumble vocalizations

The findings reveal that elephants, like apes, assess the communicative effectiveness of their gesturing and adjust their signals based on the audience's visual attention[^6]. This expands understanding of intentional communication beyond the primate lineage[^9].

[^1]: Royal Society Open Science - Investigating intentionality in elephant gestural communication

[^6]: Nature - Multimodal communication and audience directedness in the greeting behaviour of semi-captive African savannah elephants

[^9]: Pangea Trust - Gestures and greetings used by elephants show intentional multimodal communication

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Andi's Writeup

Researchers have developed Centaur, a computational model that can predict and simulate human behavior across a wide range of psychological experiments[^1]. Built by fine-tuning Meta's Llama 3.1 70B language model on a dataset called Psych-101, Centaur was trained on over 10 million choices made by 60,000 participants across 160 psychology experiments[^1].

The model outperforms existing cognitive models in predicting human behavior, even generalizing to entirely new scenarios it wasn't trained on[^1]. "You can basically run experimental sessions in silico instead of running them on actual human participants," said Marcel Binz, cognitive scientist at the Helmholtz Institute for Human-Centered AI[^2].

Centaur demonstrates unprecedented capabilities in capturing human cognition:

  • Predicts behavior with 64% accuracy across varied tasks[^3]
  • Generalizes to modified experimental scenarios, like switching from "spaceships" to "magic carpets" in decision-making tasks[^4]
  • Shows alignment between its internal representations and human neural activity[^1]
  • Performs well on out-of-distribution tasks in moral decision-making, economic games, and logical reasoning[^1]

"It's the first model that can do any kind of task exactly like a human can," said Russ Poldrack, cognitive scientist at Stanford University[^4].

[^1]: Nature - A foundation model to predict and capture human cognition

[^2]: Nature - This AI 'thinks' like a human — after training on 160 psychology studies

[^3]: Live Science - New AI is better at predicting how we behave than ever before, scientists say

[^4]: Gigazine - A basic model 'Centaur' that predicts human responses in psychological experiments has appeared

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cross-posted from: https://lemmygrad.ml/post/8474021

A good series! I suggest watching the other episodes. Not too long and gets right down to the point.

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Melting glaciers may be silently setting the stage for more explosive and frequent volcanic eruptions in the future, according to research on six volcanoes in the Chilean Andes.

Presented today [Tuesday 8 July] at the Goldschmidt Conference in Prague, the study suggests that hundreds of dormant subglacial volcanoes worldwide – particularly in Antarctica – could become more active as climate change accelerates glacier retreat.

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cross-posted from: https://lemmygrad.ml/post/8433326

Check it out.

Heard of this tangentially.

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