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The Rundown AI: “Spatial Intelligence”

AI ‘godmother’ advocates for spatial intelligence
Image source: Reve / The Rundown
The Rundown: Famed AI specialist Dr. Fei-Fei Li just published a new essay detailing why the next breakthrough in AI will come from spatial intelligence, or systems that can understand, reason about, and generate 3D, physics-consistent worlds.
The details:
Li argues that while LLMs have mastered abstract knowledge, they lack the ability to perceive and act in space (things like estimating distance and motion).She said spatial understanding is the cognitive core of human intelligence and a crucial step to take AI from language to perception and action.World models, Li said, will be key to building this intelligence, but they need the ability to create realistic 3D worlds, understand inputs like images and actions, and predict how those worlds change over time.She added that these models will ultimately unlock new advances in robotics, science, healthcare, and design by enabling AI to reason in the real world.
Why it matters: World models that understand how objects move and interact could one day predict molecular reactions, model climate systems, or test materials. The challenge lies in teaching AI real-world physics, but momentum is building fast with Li’s World Labs, Google, and Tencent all racing to bring spatially intelligent systems to life.
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Eddie Hobbs: Climate change. What do we really know? Very little … for instance a volcano in the deep sea caused the rising in climate pattern in 2023 2024

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The Deep View: EU could loosen privacy, tech regulations


EU could loosen privacy, tech regulations
The European Union might be rolling back its red tape. 
The European Commission will unveil a “digital omnibus” package in late November, according to POLITICO, aimed at simplifying its tech and privacy laws. The amendments include broad changes to the General Data Protection Regulation, the EU’s strict rules governing individuals’ control over their personal data. 
The move could open doors for tech giants seeking to grow their AI footprint in Europe, something which model providers are already ramping up to do.
Bloomberg reported in late October that ChatGPT Enterprise adoption is up sixfold year-over-year in Europe, the Middle East and Africa. As part of its broader international expansion, Anthropic last week announced new offices in Paris and Munich. The company noted in a press release that the region has become its fastest-growing market, with customers representing more than $100,000 in run-rate revenue growing ten times over the past year.
The move could also help strengthen homegrown AI in the region. While the EU has a few stand-out AI firms, such as Mistral AI and DeepL, the region has largely struggled to keep pace with the rapid development of U.S. and Chinese firms. 
This move is not the region’s first attempt to try and compete. In early October, EU officials outlined two plans to boost AI adoption and research, and announced a $1.1 billion investment in doing so. The plans specifically target European workforces adopting the tech and raising the profile of the EU’s AI-powered scientific research. 
And following pressure from the Trump administration and Big Tech, the European Commission is also reportedly weighing plans to delay parts of the EU AI Act, a landmark initiative to rein in AI development that could pose a risk to people’s safety, offering a yearlong “grace period” to companies that break these rules.
The EU differs from the U.S. and China in one main way: stringent tech regulation that protects people over companies. The region has largely prioritized data security and safety over moving fast and breaking things, as evidenced by the EU AI Act’s passing in the first place. Upending the GDPR marks a stark 180 in the region’s approach to AI regulation thus far — and its tech policy strategy as a whole — potentially signalling a shift in priorities as the tech continues its rapid ascent. 
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New Atlas: New target to prevent Alzheimer’s patients forgetting loved ones

Alzheimer’s & Dementia

New target to prevent Alzheimer’s patients forgetting loved ones

By Bronwyn Thompson

November 10, 2025

Researchers are studying how changes in the brain may cause Alzheimer’s patients to forget loved ones, and exploring new ways to prevent memory loss

Researchers are studying how changes in the brain may cause Alzheimer’s patients to forget loved ones, and exploring new ways to prevent memory loss

Illustration by John DiJulio/University Communications

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New research has found that the loss of social memory – recognizing friends and family – in Alzheimer’s disease (AD) could come down to specific structures around brain cells. And targeting this delicate scaffolding may potentially prevent this heartbreaking stage in cognitive decline.

Scientists from the University of Virginia (UVA) School of Medicine first discovered the role these structures – known as perineural nets – play in AD neurodegeneration in July 2024, and the team has now demonstrated that the loss of these structures disrupts the brain’s ability to recall social connections.

“Finding a structural change that explains a specific memory loss in Alzheimer’s is very exciting,” said Sontheimer, chair of UVA’s Department of Neuroscience and member of the UVA Brain Institute. “It is a completely new target, and we already have suitable drug candidates in hand.”

Harald Sontheimer chairs the UVA Department of Neuroscience and is a member of the UVA Brain Institute
Harald Sontheimer chairs the UVA Department of Neuroscience and is a member of the UVA Brain Institute

Sontheimer and team believed that disruptions in these perineural nets, which protect communicating nerve cells, result in the neurons being unable to form and store memories. While perineuronal nets were first discovered back in 1898 by Camillo Golgi, the UVA scientists believe these structures are a lot more important to our brain’s health than previously thought. These nets surround inhibitory neurons, which play a key role in regulating brain activity, slowing down the signals transmitted by excitatory nerve cells.

When the nets are damaged through AD, specialized support cells (astrocytes) cease being able to remove potassium or glutamate from the synapse that connects the neurons, which then causes glutamate to “spill over” into regions it shouldn’t be, potentially killing off neighboring neurons.

In a mouse model, the researchers found that damaged perineural nets resulted in the animals losing their “social memory,” unable to recognize mice they were familiar with – even though other parts of their memory and object recognition was intact. This is, of course, something that occurs as AD progresses, where patients can fail to identify loved ones yet retain “object memory” for some time. When the scientists kept the perineural nets intact, mice were able to recognize familiar animals.

“In our research with mice, when we kept these brain structures safe early in life, the mice suffering from this disease were better at remembering their social interactions,” said graduate student Lata Chaunsali. “Our research will help us get closer to finding a new, nontraditional way to treat or, better yet, prevent Alzheimer’s disease, something that is much needed today.”

The team used matrix metalloproteinase (MMP) inhibitors – which are predominantly being investigated in cancer research – to block the AD-driven damage to perineural nets in mice, and the treatment halted their destruction. While still early days, these existing drugs could be an entirely new way to protect the brain as the disease progresses.

“Although we have drugs that can delay the loss of perineuronal nets, and thereby delay memory loss in disease, more research needs to be done regarding safety and effectiveness of our approach before this can be considered in humans,” Sontheimer said. “One of the most interesting aspects of our research is the fact that the loss of perineuronal nets observed in our studies occurred completely independent of amyloid and plaque pathology, adding to the suspicion that those protein aggregates may not be causal of disease.”

The research was published in the journal Alzheimer’s & Dementia.

Source: University of Virginia School of Medicine

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GZERO – Ian Bremmer: What the US and China have in common

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@MarioNawfal: AI TO THE RESCUE: UK TRIALS SAME-DAY PROSTATE CANCER DIAGNOSES

Mario Nawfal

@MarioNawfal

🇬🇧 AI TO THE RESCUE: UK TRIALS SAME-DAY PROSTATE CANCER DIAGNOSES

Waiting weeks for a prostate cancer diagnosis? That’s cute. The UK Health Service is now testing AI that scans MRIs in minutes – fast-tracking high-risk cases to radiologists and booking same-day biopsies. 15 hospitals are in on the trial, and if it works, men could dodge months of anxious limbo while the system catches up. Wes Streeting calls it a revolution. For once, he might be right. Source: Sky News

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Mario Nawfal

@MarioNawfal

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Oct 21

GENETICALLY WIRED FOR WORSE CANCER? NEW DRUG COMBO BUYS TIME If your prostate cancer comes with BRCA or similar DNA repair mutations, it usually means faster spread and fewer options. But a global study found that adding niraparib – a smart drug that exploits those broken x.com/MarioNawfal/st…

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Elon Musk and the challenge to be truthful…

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@MarioNawfal: “4 EASTERN EUROPEAN COUNTRIES SAY “HELL NO” TO EU’S 90% EMISSIONS CUT PLAN

Mario Nawfal

@MarioNawfal

🇪🇺 4 EASTERN EUROPEAN COUNTRIES SAY “HELL NO” TO EU’S 90% EMISSIONS CUT PLAN

Poland, Hungary, Czechia & Slovakia just told Brussels “no thanks” to a new plan forcing a 90% cut in greenhouse gas emissions by 2040. The rest of the EU? Mostly on board, 21 countries backed it, while Belgium and Bulgaria quietly hit “maybe later.”

The 4 countries isn’t buying it. They say the costs are insane, the rules are rigid, and the whole thing could gut what’s left of Europe’s industrial edge. It still needs to get through the EU Parliament, but if you thought America’s climate politics were spicy, wait ‘til you see Eastern Europe’s take on green utopia. Source: Financial Times, EU Council

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The Big Think: Metacognition: the mind’s Swiss Army knife

Metacognition: the mind’s Swiss Army knife

Anne-Laure Le Cunff

•  Reading time: 8 minutes

When you want to learn or build something new, it’s tempting to just get going. Read as much as you can, do some tutorials, work on some related projects. Short-term, this gives you a motivation boost. You feel like you’re moving forward. But, after a while, you notice that you’re not progressing as fast as you expected. You may even start burning out. Turns out, cramming content inside your brain is not the most effective way to grow. Instead, you need to develop your metacognition.

The Structure of Metacognition: Metacognitive Knowledge, Metacognitive Regulation, Metacognitive Experiences

What is metacognition?

The word “metacognition” literally means “above cognition” — it’s one of the most powerful forms of self-monitoring and self-regulation. It’s a fancy word for something fairly simple once you break it down.

Put simply, metacognition is “thinking about thinking” or “knowing about knowing.” It’s being aware of your own awareness so you can determine the best strategies for learning and problem-solving, as well as when to apply them.

Researchers have identified three main components that make up metacognition. These are not clear, separate aspects, but rather interact together in complex ways to influence the way you learn, create, and solve problems.

  1. Metacognitive knowledge. What you know about yourself and others in terms of thinking, problem-solving, and learning processes.
  2. Metacognitive regulation. The activities and strategies you use to control your thinking.
  3. Metacognitive experiences. The thoughts and feelings you have while learning something new or trying to solve a problem.

Metacognitive knowledge in particular can be divided into three further categories. The first is declarative knowledge — the knowledge you have about yourself as a learner and about what factors can influence your performance. The more you know about yourself, the higher your metacognitive knowledge will be.

The second is procedural knowledge — what you know about learning in general, such as learning strategies you read about or that you have applied in the past. The more you learn about learning, the more procedural knowledge you will have.

Finally, conditional knowledge refers to knowing when and why you should use declarative and procedural knowledge, allocating your mental resources in a smart way to learn better. The more mental models you have in your toolbox, the more you will develop your conditional knowledge.

Even if you don’t remember all those details, just know that metacognition is understanding your thought processes and emotions and the patterns behind them. It’s the highest level of mentalisation — an ability that is part of what makes us human.

The benefits of metacognition

Metacognition can help you maximize your potential to think, learn, and create, all while taking care of your mental health. Beyond the elevated self-awareness and consciousness you’ll experience by applying metacognitive strategies, scientists have investigated some of the many benefits of metacognition.

  • Learn better. Research shows that high-metacognition learners identify challenges much faster and change their tools and strategies to better achieve their learning goals. Metacognition can even compensate for IQ and lack of prior knowledge when it comes to solving new problems.
  • Make decisions faster. Monitoring and controlling your ongoing cognitive activity can make you aware of your cognitive biases and help avoid mistakes, or at least not reproduce the same mistakes twice. In addition, because of heightened awareness, metacognition leads to a reduction in response time, which reduces the time to solve a problem or complete a task.
  • Be more creative. According to Dr Markus Lång, all narrative works of art can be defined as metacognitive artifacts which are designed by the creator to anticipate and regulate the cognitive processes of the recipient. Intrinsically speaking, creativity is thinking about thinking.
  • Improve your mental health. Metacognition gives you the ability to understand your mental health and to adapt your strategies to cope with the source of any distress. As such, researchers defined metacognition as the process that “reinforces one’s subjective sense of being a self and allows for becoming aware that some of one’s thoughts and feelings are symptoms of an illness.”

As you can see, metacognition really is the mind’s Swiss Army knife. That one ability can help you learn better, make decisions faster, be more creative, and improve your mental health. So, how can you experience those benefits?

The ingredients of metacognition

Metacognition has many components, but it doesn’t mean that it has to be complicated to apply. According to scientists, there are only three skills you need to master in order to improve your metacognition.

  1. Planning. Before you start learning something, tackling a new problem, or exploring a creative idea, think about the appropriate strategies you will use, as well as how you will allocate your time and energy. This phase is based on your metacognitive knowledge — of yourself (declarative knowledge), learning strategies (procedural knowledge), and when to use them to maximise your performance (conditional knowledge).
  2. Monitoring. While learning, solving a problem, or working on a creative project, stay aware of your progress. Are you struggling with certain aspects in particular? Are there other elements that seem to be a breeze to go through? Instead of passively experiencing your thoughts and feelings, ask yourself these questions to see what works and what doesn’t.
  3. Evaluating. When you’re done with a chunk of work, consider how well you performed and re-evaluate the strategies you used. Make any necessary changes before starting to work on the next part of your project.

As these may feel quite abstract, let’s have a look at some simple strategies you can use to put these principles into practice.

How to develop your metacognition

“Thinking about thinking” sounds great in theory, and there’s lots of research demonstrating its many benefits. But what does it look like in practical terms? Here are some activities you can experiment with to develop your metacognition.

  • Keep a learning journal. If you already keep a journal, you can add a section at the end of each day answering a few questions about what you’ve learned, what went well, what didn’t, and what you want to learn next. Plus Minus Next journaling is a great approach to keep a learning journal, or you can have more of a free-flow approach — whatever feels most comfortable. The goal is to be aware of your progress, the challenges you face, and the strategies you will apply to improve your thinking, learning, and decision-making.
  • Think aloud. While mind wandering can contribute to creativity, it can also be unproductive when not paired with a phase of focused thinking. Thinking out loud may feel a bit strange, but it will help you stay on track when practicing metacognition. Another way to think out loud is to find a thinking buddy — someone you meet with regularly to discuss your progress and challenges, and to suggest metacognitive strategies to each other. You can then take notes about the discussion in your learning journal.
  • Apply mental models. Mental models are frameworks that give us a representation of how the world works, a set of beliefs and ideas that we form based on our experiences that guide our thoughts and behaviors and help us understand life. For example, knowing about the availability heuristic helps you think about human relationships. Knowing about temporal discounting helps you pay attention to the consequences of your decisions, even if they are far in the future. Building your own toolbox of mental models is a productive way to practice metacognition.
  • Use a tool for thought. After a while, you will start accumulating a collection of metacognitive strategies based on mental models and knowledge about yourself. To make the most of these strategies, it can be helpful to use a tool for thought so you can easily store and retrieve them based on the challenge at hand. For instance, you could tag your metacognitive strategies depending on whether they are more relevant for learning or problem-solving, or if they are more useful to deal with procrastination or creative anxiety.

In his treatise On the Soul, Aristotle (384–322 BC) wrote: “What thinks and what is thought are identical.” Thinking is combining your existing knowledge into new ideas. Metacognition is the act of observing and reflecting on our thoughts. It’s the mind’s Swiss Army knife: when practiced regularly, it can make you a better learner, decision-maker, and creator, all while supporting your mental health.

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