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The Android Show: I/O Edition | Gemini Intelligence

Introducing Gemini Intelligence, an intelligence system that knows what matters to you, helps you stay a step ahead and works proactively to get things done throughout your day, bringing the best of Gemini to our most advanced devices.

Join Mindy Brooks (VP, PM and UX, Android Platform), Dieter Bohn (Director, Product Operations), and Ruchi Bezoles (Director, Android Marketing) to see how we’re making Gemini Intelligence handle the busywork so you can get back to what brings you joy.

Watch the full show now to check out all of the innovations and breakthroughs coming soon to Android! → https://www.youtube.com/live/dXCCleAddEA

Learn more about Gemini Intelligence → https://android.com/gemini-intelligence.

Catch up on all things Android → https://android.com/io-2026

#TheAndroidShow.

The Commoditization of Intelligence: Why AI Aggregators Will Beat Foundation Models

Everyone is currently watching the major tech giants throw billions of dollars at the AI arms race, cheering for whichever foundation model happens to top the leaderboards this week.

It is an incredible spectacle to watch unfold, but focusing too closely on the tech itself might mean we are missing the actual business revolution happening right under our noses.

We have seen this exact economic shift before. The biggest winners of the internet era weren’t the ones who built the physical infrastructure or supplied the goods; they were the platforms that organized the supply and owned the user relationship. The same economic laws are now coming for artificial intelligence, actively turning “intelligence” into a basic, interchangeable utility.

The real value moving forward is no longer in the models themselves, but in the seamless interfaces that aggregate them. If you want to protect your business from vendor lock-in and position your team for ultimate flexibility, it is time to rethink your approach.

Read my full blog post to dive into why the future of AI belongs to the aggregators, and how your business can strategically capitalize on this shift.


We spend an enormous amount of time obsessing over the titans of the AI arms race. Every single week seems to bring a breathless new headline about OpenAI, Google, Anthropic, or Meta releasing a foundation model that edges out the competition on some obscure benchmark test. We find ourselves endlessly arguing over parameter counts, context windows, and raw reasoning capabilities, captivated by a multi-billion-dollar war unfolding in real-time.

How lungs balance defense and damage by tuning responses to deeper threats

Barrier organs that form boundaries between the body and the outside environment, such as the lungs, skin, and intestines, face a difficult balancing act. They must respond quickly to threats such as infection, but they also need to avoid triggering unnecessary inflammation that can damage the tissue. A new study led by Whitehead Institute member Pulin Li and graduate student in her lab Diep Nguyen reveals one way the lung manages that tradeoff.

Published in Cell Systems, the research found that immune sensitivity is not evenly distributed across the lung. Instead, it arranges in tiers: cells at the outer surface respond cautiously, while cells deeper in the tissue are more likely to sound the alarm when a threat breaks through.

“The central question was how tissues balance the benefits and harmful effects of immune activation when they face different degrees of danger or stress,” says Li, who is also a professor of biology at MIT. “Too little immune activation leaves the tissue unprotected, but too much can create inflammation and damage.”

Most astronauts who spend more than six months in orbit come home describing the same shift in how they see Earth — and even the ones who were briefed on it in advance say the actual feeling caught them off guard

The phenomenon has a name. The author and space philosopher Frank White coined the phrase “the Overview Effect” after reflecting on what it would mean for people to see Earth from space as part of daily life.

Human Mind in a Theistic World

What happens to the human mind if God exists? Louis Caruana argues that mind, soul, and body are not separate entities but dimensions of a single human individual — challenging both strong dualism and reductive materialism while reframing what could survive death.

0:00 Human Mind in a Theistic World.
1:22 Mind, Soul, and the Individual.
4:33 Theism and Human Dignity.
5:17 Why Death Remains Tragic.
6:36 Resurrection and the Immortal Soul.

Louis Caruana SJ is a Jesuit priest ordained in 1991 and holds degrees in science, philosophy, and theology. He obtained his PhD from the University of Cambridge, and is now Dean of Philosophy at the Gregorian University, Rome, and Research Associate of Heythrop College, University of London.

More from Louis Caruana on Closer To Truth:
https://closertotruth.com/contributor

Fbi Probes Space Scientists Dead, Missing

Missing and dead US scientists spark federal probe. Nancy Grace has the latest.

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Liad Mudrik: Using Prediction Maps to Guide Theory Testing and the Search for the NCC

This talk is part of the “New Ideas in NCC Research” workshop of the Bamberg Mathematical Consciousness Science Initiative (BAMΞ). For more talks and details, see https://www.uni-bamberg.de/en/bamxi/r

Abstract: In recent years, the search for the neural correlates of consciousness (NCC) has been complemented, and influenced, by the ongoing efforts to test neuroscientific theories of consciousness. A key insight from these efforts, though, is that many theories remain underdeveloped and not fully specified, making it harder to establish stringent tests for their predictions. In this talk, I will present a novel methodological approach that represents scientific theories as networks of beliefs structured in a core-periphery manner. These Prediction Maps visualize theoretical claims and empirical predictions, and illustrate their inferential relations. This framework further facilitates systematic theory testing by allowing researchers to evaluate the evidential weight of different components of a theory, and to identify which experimental results would constitute the most informative tests. To do so, we apply graph-theoretic and network analysis metrics, quantifying the centrality of specific predictions. I argue that this approach can advance efforts to arbitrate between theories of consciousness and to identify their most promising candidate mechanisms as NCCs.

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