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Why you hardly notice your blind spot: New tests pit three theories of consciousness

Although humans’ visual perception of the world appears complete, our eyes contain a visual blind spot where the optic nerve connects to the retina. Scientists are still uncertain whether the brain fully compensates for the blind spot or if it causes perceptual distortions in spatial experience. A new study protocol, published in PLOS One, seeks to compare different theoretical predictions on how we perceive space from three leading theories of consciousness using carefully controlled experiments.

The new protocol focuses on three contrasting theories of consciousness: Integrated Information Theory (IIT), Predictive Processing Active Inference (AI), and Predictive Processing Neurorepresentationalism (NREP). Each of the theories have different predictions about the effects that the blind spot’s structural features have on the conscious perception of space, compared to non-blind spot regions.

IIT argues that the quality of spatial consciousness is determined by the composition of a cause-effect structure, and that the perception of space involving the blind spot is altered. On the other hand, AI and NREP argue that perception relies on internal models that reduce prediction errors and that these models adapt to accommodate for the structural deviations resulting from the blind spot. Essentially, this means that perceptual distortions should either appear small or nonexistent in both theories. However, AI and NREP differ in some ways.

Shaping carbon fiber with electricity: Wireless voltage pulses drive reversible bending

Controlled manipulation of fibers that are as thin as or even thinner than human hair is a real challenge. Despite technological development, the precise and reversible change of the microfibers’ orientation is not easy. The interdisciplinary team of researchers from the Institute of Physical Chemistry, Polish Academy of Sciences, has recently developed a way to control the shape of microfibers with electricity. This brings us closer to a novel technical solution in micromechanics and soft robotics.

Their recent work, published in the Nature Communications journal, demonstrates the first proof-of-concept results on the motion of pristine carbon fibers caused by asymmetric electrochemical processes occurring in the material.

Turning IBM QRadar Alerts into Action with Criminal IP

Criminal IP now integrates with IBM QRadar SIEM and SOAR to bring external IP-based threat intelligence directly into detection and response workflows. See how risk scoring and automated enrichment help SOC teams prioritize high-risk IPs and accelerate investigations without leaving QRadar.

How SpaceX and XAI Will Build Moonbase Alpha and Mass Drivers

SpaceX, in collaboration with xAI, plans to build a lunar base called Moonbase Alpha using advanced technologies such as mass drivers, solar power, and Starship, aiming to make human activity on the moon visible, affordable, and sustainable ##

## Questions to inspire discussion.

Launch Infrastructure Economics.

🚀 Q: What launch costs could SpaceX’s moon infrastructure achieve? A: Mature SpaceX moon operations could reduce costs to $10/kg to orbit and $50/kg to moon surface, enabling $5,000 moon trips for people under 100kg (comparable to expensive cruise pricing), as mentioned by Elon Musk.

⚡ Q: How could lunar mass drivers scale satellite deployment? A: Lunar mass drivers using magnetic rails at 5,600 mph could launch 10 billion tons of satellites annually with 2 terawatts of power, based on 2023 San Jose State study updating 1960s-70s mass driver literature.

Starship Capabilities.

Optimus Surgeons in 3 Years | MOONSHOTS

Optimus robots, with their rapidly advancing capabilities in AI and dexterity, are poised to revolutionize the field of surgery, potentially surpassing human surgeons in precision and accessibility within a few years and making traditional surgical expertise and even medical school obsolete.

## Questions to inspire discussion.

Healthcare Access & Economics.

🏥 Q: How will Optimus robots change healthcare costs and accessibility?

A: Optimus surgeon robots will operate at costs limited to capital expenditure and electricity, enabling deployment in rural villages and developing countries like Zimbabwe and throughout Africa, demonetizing and decentralizing access to medical care that will exceed what presidents currently receive.

Technology Timeline & Capabilities.

Claude Opus 4.6 vs GPT 5.3 Codex: Which is better for programming? | Peter Steinberger

Claude Opus 4.6 and GPT 5.3 Codex, two AI models, have different strengths and interaction styles, highlighting the trade-offs between elegance, reliability, and efficiency in their performance ##

## Questions to inspire discussion.

Model Selection Strategy.

🎯 Q: Which AI model should I choose for different programming tasks?

A: Use Opus for interactive roleplay and quick command following with trial-and-error workflows, while Codex excels at delivering elegant solutions when given proper context and reads more code by default.

🔄 Q: How long does it take to effectively switch between AI models?

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility features hundreds of fine-tuned components that accelerate electrons to 99.999% the speed of light.

The electrons get this boost from radiofrequency waves within a series of resonant structures known as cavities, which become superconducting at temperatures colder than deep space.

These cavities form the backbone of Jefferson Lab’s Continuous Electron Beam Accelerator Facility (CEBAF), a unique DOE Office of Science user facility supporting the research of more than 1,650 nuclear physicists from around the globe. CEBAF also holds the distinction of being the world’s first large-scale installation and application of this superconducting radiofrequency (SRF) technology.

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