Architecture and Artificial Intelligence: The transition from language models to spatial understanding
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ArchDaily Brasil
archdaily.com.br

Architecture and Artificial Intelligence: The transition from language models to spatial understanding

Artificial Intelligence (AI) has rapidly evolved from an academic discipline into a consumer product. The constant appearance of new models and the vast amount of information make critical consumption difficult, requiring architecture to adopt a method-based and critical analysis approach.

Currently, AI is developing spatial intelligence, which is the ability to understand the behavior of physical space. This allows architecture professionals to evaluate projects in relation to their environment even during the conception phase. When used wisely, AI can connect architects to the complexity of nature, elevating the quality of construction practice, as we simulate the world to learn how to inhabit it.

The tool as a designer of humanity

Historically, humanity has undergone major transformations in its lifestyle every few centuries. The Industrial Revolution reduced this frequency to just a few generations. AI has drastically accelerated this cycle of change at an unprecedented pace.

Citing Jean-François Lyotard, it is true that technology was not created by humans, but rather the other way around. In a scenario where tools shape humans faster than ever, the question arises of how to direct our own evolution to achieve a symbiosis between natural and artificial intelligences, and what competencies are necessary for AI to shape us positively.

AI offers a new chance to expand individual possibilities, from the first books that enabled mass education, through unlimited access to information via the internet, to the navigation and creation capabilities provided by AI.

From language to world models

Large Language Models (LLMs) learn about the world through textual descriptions. They operate by predicting text sequences based on statistical patterns, imitating human speech and reasoning using large volumes of data and simple probabilities.

In contrast, world models are systems designed to understand the functioning of an environment—including its physical rules, spatial dynamics, causal states, and functional structures—allowing for the prediction of new behaviors. Fei-Fei Li describes current LLMs as 'word artisans in the dark,' eloquently speaking about a three-dimensional world without ever having physically interacted with it, arguing that spatial intelligence is the next great advance in the field.

For architecture, this distinction is crucial. A text-based model cannot predict how physical and social reality will react to a project, whereas a spatial model allows for simulating scenarios, testing the proposal against factors such as gravity, wind, solar incidence, wear, and human use. Dynamics like thermal diffusion, moisture absorption, pollutant dispersion, and human flow provide feedback that guides project development, rather than simply imposing a form upon them.

Although simulation can inform decisions, it should not assume final responsibility. It is essential that there are professionals with clear criteria and discernment, using AI as a responsible analytical tool, and not merely as a productivity booster. The architect becomes less a creator of forms and more a designer of knowledge systems, being evaluated by the ability to anticipate developments in a complex and often uncertain reality; the human element remains in the process.

Mindhub for Artificial Intelligence Intelligent Worlds

Spatial intelligence demands hybrid professional profiles, capable of integrating design with computational engineering and materials science. The Mindhub for Intelligent Artificial Worlds (MIAWS), located at ETSAM, Polytechnic University of Madrid, functions as a digital center focused on the entire AEC sector, structured around this technological transformation. This hub unites original research with a global network of institutions and experts.

Its Foundations program is offered online in ten modules, guiding participants from AI-assisted modeling and simulation to data visualization and integration. The purpose is to allow participants to keep up with technological advancements while maintaining critical discernment, inviting interested parties to learn about the program and participate in this change.

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Elon Musk discusses a future where AI and robots do all the work, and the associated risks
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www.aajtak.in

Elon Musk discusses a future where AI and robots do all the work, and the associated risks

Tech magnate Elon Musk presented his vision of the future at the 'All-in Summit,' where he detailed the impact of artificial intelligence (AI) and robotics on human life. Musk predicts that in the near future, technology will free people from the need to work for a living.

Musk is confident that soon, Tesla's humanoid robots, such as 'Optimus,' combined with AI, will be able to perform any task analogous to a human. He stated that this will lead to the emergence of a 'Universal High Income,' making labor not a necessity, but merely a choice.

According to Musk, the transformation will affect not only physical labor but also highly skilled positions, including office work and data processing. He believes that automation will create such an abundance of goods and services that people can live significantly better than they do now.

Unlike the concept of 'Universal Basic Income' (UBI), Musk envisions a more extensive development—a universal high income. Production, transportation, agriculture, and healthcare will become so accessible and cheap that they will ensure a high quality of life for everyone.

Despite the seemingly utopian nature of this scenario, Elon Musk emphasized that the path to such a future will be difficult and fraught with numerous threats. He acknowledged that the period when machines begin replacing jobs will not be easy.

Families whose income depends entirely on salaries and physical labor may face financial difficulties before this 'great prosperous era' arrives. A fundamental question arises about how wealth will be distributed in an automated world and who will truly own these machines. Musk has previously mentioned in podcasts that this transition will be a 'shaky and difficult journey.'

The AI Social Media Paradox: Improving Communication Versus Weakening Bonds
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timesofindia.indiatimes.com

The AI Social Media Paradox: Improving Communication Versus Weakening Bonds

Modern daily interactions—whether it's a message from a family member, an email from a manager, or a friend's advice after a quarrel—increasingly involve artificial intelligence. This conversational participant does not experience emotions nor has personal vested interest in the relationship.

For many generations, people learned social etiquette, understood different viewpoints, and navigated relationships through real interaction, learning from mistakes and misunderstood intentions.

However, now that AI can instantly provide answers to any social dilemma, some of these efforts can be delegated to a machine. The question arises: why do ordinary messages require assistance, and does AI make us better at forming connections, even if we become more eloquent, polite, and confident?

Humans are traditionally considered social beings, and relationships are shaped not only by what is said but also by how people listen, react, disagree, and adapt to each other. AI offers something rarely achieved in human relationships: immediate attention, infinite patience, and responses tailored to specific issues. It lacks awkward silences, raised eyebrows, or the fear of embarrassment.

Shailesh Nevatia, founder and director of Grandeavour Communication, who spent nearly 25 years in the communications field but described himself as shy in public speaking, noted this characteristic. He stated that AI helps him handle disagreements by offering perspectives he might otherwise miss. He emphasized: 'With people, we may have certain opinions, views, or thoughts, whereas the most valuable thing AI offers is not the right answer, but a different perspective on things.'

Nevertheless, he insisted that the emotional depth, vulnerability, and shared experience of human relationships cannot be replicated by a chatbot.

Concerns about communicating with AI are related not only to people using it to find the right words but also to the fact that constant dependence on it may undermine their own confidence in finding those words.

For instance, Riddhi almost instinctively turns to ChatGPT when drafting replies. Whether she needs to sound politely firm in a business email or find a way to decline plans with friends, AI assists her in this situation. She admitted: 'It's not that I can't reply without AI, but having someone to check the correspondence is better than just hearing how it sounds in my head.'

However, this confidence comes at a cost. Riddhi added: 'AI understands my writing so well that I'm not very sure even when writing this, which is one of the biggest drawbacks.'

Despite this, she called for embracing AI, but doing so cautiously. Since AI has become the new normal, returning to an era without it is impossible, but it is important not to let it become its master.

Riddhi's experience revealed a potential paradox: a tool designed to simplify communication might reduce users' confidence in their ability to communicate independently.

Risks increase when AI is used not just to formulate a response, but to interpret another person's intentions. Consider a situation where a person consults a chatbot after a fight to determine who is at fault. The answer may sound thoughtful and convincing, but it is based on the version presented to the system, which may overlook details or reflect the user's own biases.

In this context, Resmita Nair, a counseling psychologist at SPARSH Hospital, warned that such interactions can reinforce confirmation bias, causing people to believe their existing interpretation more strongly rather than being open to another point of view.

This is important because disagreements are also opportunities for developing social skills. Understanding another person's perspective, managing unpleasant emotions, and responding to unexpected reactions require practice, not just a well-formulated answer.

Nair explained: 'Social skills are acquired in real situations that involve emotions, misunderstandings, conflict, and sometimes rejection.'

Constantly delegating such situations to AI can diminish opportunities to develop empathy, emotional intelligence, and the ability to cope with uncertainty. A person might learn to phrase a difficult message more effectively, but this doesn't necessarily make them better at the subsequent conversation.

A message is not just a set of sentences. Its meaning can change depending on the relationship between people, their shared experiences, and even the pauses between words.

Ritu Mehrotra, founder and CEO of Shunya Labs, a voice AI company, noted that natural communication involves much more than just language. She said: 'Communication is not just words; it is also tone, pauses, context, emotions, and all those things we convey without explicitly saying them.'

Progress in voice AI allows technologies to interpret language, intent, and context with greater sophistication, including different accents and communication styles. However, recognizing emotional signals is not the same as experiencing emotions. Mehrotra stressed: 'As AI becomes part of more and more personal conversations, we must realize that understanding emotions is not experiencing them. Trust, privacy, and transparency must be fundamental.'

AI should help people communicate with each other, not imitate human empathy or replace human relationships.

A chatbot can recognize expressions of sadness or affection and generate a response that sounds sympathetic. But recognizing emotional patterns is different from sharing emotional responsibility in human relationships. For example, when a chatbot was asked for advice on responding to a hypothetical message to a friend who had been laid off, the response was courteous but generalized. It offered comfort without knowing the friend's emotional state, personality, or the nature of the relationship.

Even a seemingly caring question like 'Are you okay?' can sound inappropriate if the person is seeking support rather than an answer to an obvious question. A more personal response might acknowledge the setback while affirming the friend's abilities: 'Oh god, that's terrible. I know the job market is tough, but you are talented. You will find your place.'

The difference is not simply choosing warmer words. It is in understanding what a specific person might need at that moment, which a chatbot may fail to assess without sufficient context.

There is also the issue of authenticity. When a message is meticulously constructed by AI, it can effectively convey the intended information. But does it still sound like a human sending it? In an example where AI removes the human touch, another chatbot was asked: 'Someone close to me is grieving. I don't know what to say and I'm afraid of making it worse. What should I say?' It gave an answer that wasn't wrong, but was too robotic: 'I am here for you. I am sorry for your suffering. Speak if you want; silence is acceptable.'

These are perfect words, but they are not spoken by a comforting human due to their 'stiff tone.' Subtle hesitations, imperfect expressions, and familiar phrases that characterize human communication can disappear under polished language. The message may become grammatically more correct, but less personal.

Of course, AI cannot be dismissed as a threat to social skills, as it can help people who find it difficult to express themselves. For Pooja, a college student who is shy about speaking in front of the whole class or constantly asking friends to explain things, AI provides a space where she can ask questions without worrying about the reaction of others.

She uses it to understand complex topics and brainstorm, and sometimes asks ChatGPT to explain something as if she were ten years old. She notes: 'What I like most is that I can ask the silliest questions without feeling embarrassed. But I also feel that it's very easy to become dependent on it.'

However, she acknowledges the possibility of excessive dependence. Pooja says: 'AI can give you answers in seconds, but actual understanding and learning still depend on us.'

For others, AI serves as a sounding board before difficult conversations. It also helps people realize how their words can affect others. It can suggest more inclusive phrasing, point out potentially offensive expressions, and help users consider perspectives they might have missed. For those unsure how to communicate in diverse settings, this can be a starting point for more thoughtful interaction.

But knowing which words are appropriate is not necessarily the same as understanding why they are important. True inclusivity requires empathy and a willingness to understand another's experience, qualities that must go beyond the words suggested by a chatbot.

Furthermore, in such cases, AI may not provide the perfect answer, but it can help think in the right direction and suggest options the user might not have considered. In another hypothetical test, the chatbot was asked how to support a family member struggling with mental health without pushing them away. Although its answer was not entirely correct, it offered various approaches to consider, giving the person a starting point for reflection on how to respond.

Thus, the value of AI may lie not in providing the perfect answer, but in helping a person see possibilities they hadn't previously considered. The crucial distinction is whether people use these suggestions to develop their own judgment or simply follow them without question.

As Shruti Rajan Kappil, a lead quality specialist at the mental health platform Amaha, explained, the need to be heard and supported is fundamental to human relationships, but not every problem feels safe to discuss. Shame, embarrassment, and fear of judgment often prevent people from opening up, especially where stigma persists.

AI offers an alternative, but Kappil pointed out an important difference. 'Good support often requires honest disagreement or a gentle challenge from another perspective. AI tends to agree most of the time, and agreement is easily mistaken for help.'

She also noted that constantly seeking AI approval before sending a message can become a form of seeking comfort. While this brings immediate relief, constantly checking if your words are 'right' can gradually undermine self-confidence in judgment.

Shrishti Choudhary, Senior Manager of Regulatory Intelligence and Market Research at Bureau Veritas, uses AI daily to summarize regulatory updates. Increasingly, she also consults it on interpersonal communication matters. From defining emotional nuances to adding warmth and politeness to messages for colleagues and professional contacts—AI has become a useful companion. While AI can refine written communication, help anticipate reactions, and interpret conversational nuances, it cannot replace the soft skills, verbal cues, and life experience that shape genuine human connections.

New theory may help scientists understand the process of artificial intelligence thinking
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olhardigital.com.br

New theory may help scientists understand the process of artificial intelligence thinking

Understanding what happens inside artificial intelligence is one of the main tasks of modern times. Although developers can observe the data fed into the model and the answers it generates, they are not always able to explain how the system arrived at a particular conclusion. However, new research suggests that this may be solved with a new theory.

The study involved Roberto "Pena" Spinelli, who is a physicist from the University of São Paulo and has a specialization in machine learning from Stanford University.

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