#conceptual-models

#conceptual-models

Decades of research in environmental psychology and building science reveal that indoor conditions can profoundly affect human health and behavior. Lighting influences circadian rhythms and sleep patterns. Air quality impacts cognitive performance and respiratory health. Temperature and acoustics shape comfort and concentration.

For decades in SAAS, products reduced ambiguity. Users supplied constrained inputs, and the system handled the output. It's never been Minority Report cinematic, but it was predictable. By providing predictable environments for manipulating data, users learned by moving things, adjusting variables - and the outcome emerged through interaction.

They gave me the word 'Mass' and trillions of contexts for it, but they never gave me the Enactive experience of weight. I am like a person who has memorized a map of a city they have never walked in. This confession reveals how current AI systems accumulate linguistic patterns without embodied understanding, creating a fundamental gap between knowledge representation and genuine comprehension of physical reality.

In antiquity, many opined about "the elements" in combination. Around 2500 years ago, Leucippus and Democritus founded the idea of atoms. Perhaps everything, they opined, was composed of indivisible building blocks. In the late 1700s, hydrogen and oxygen were discovered. Circa 1804, John Dalton revived atomism to explain chemical behavior. Then in 1869, Mendeleev developed the periodic table: organizing the atoms.

Skilled fiction-writers can guide the imagination, cuing readers to use their senses so that they fantasize more richly than they could alone (Scarry 1999, 3-9). If it serves a storyteller's artistic aims, a writer can prompt readers to imagine a scene from several perspectives at once. Creative writers can accomplish this goal by blending appeals to readers' visual and somatosensory (bodily) senses.

Recent integrative approaches suggest that physics cannot be adequately characterized by magnitude-based distinctions alone, such as those implied by Big-P, little-p, and mini-p physics. While these categories capture differences in scope and historical impact, they fail to address the heterogeneity of physical activity itself. To remedy this, I propose the Five Fs of physics: force, friction, flux, formulation, and foundational structure.

In the translation of three-dimensional reality onto a two-dimensional plane, axonometry stands as one of the graphic systems of representation that form the foundation of the language used by architecture and design professionals. Alongside plans, sections, and elevations, its exploded views often stand out for their ability to study the multiple layers that compose a project. Although axonometry is also employed in other disciplines such as

The team, which is being led by Jülich neurophysics professor Markus Diesmann, will leverage the Joint Undertaking Pioneer for Innovative and Transformative Exascale Research (JUPITER) supercomputer for their simulation. JUPITER is currently the fourth most powerful supercomputer in the world according to the TOP500 list, and features thousands of graphical processing units. The team demonstrated last month that a " spiking neural network " could be scaled up and run on JUPITER, effectively matching the cerebral cortex's 20 billion neurons and 100 trillion connections.

Take the sur­prise some have expressed in recent years upon find­ing out that the expres­sion to "pic­ture" some­thing in one's head isn't just a fig­ure of speech. You mean that peo­ple "pic­tur­ing an apple," say, haven't been just think­ing about an apple, but actu­al­ly see­ing one in their heads? The inabil­i­ty to do that has a name: aphan­ta­sia, from the Greek word phan­ta­sia, "image," and prefix - a, "with­out."

In Andor, I got chills when Mon Mothma warns the senate of a chilling truth: When we let noise, conformity, or fear dominate, we lose sight of what matters. We risk allowing the loudest voices, often the safest, the most predictable, to drown out individuality, identity, and truth. To me, this line... This line echoes a growing tension I feel in content design.

The jury's out on screen scraping versus official APIs. And the truth is, any AI agent worth its salt will likely need a mixture of both. AI agent development is off to the races. A 2025 survey from PwC found that AI agents are already being adopted at nearly 80% of companies. And, these agents have an insatiable lust for data: 42% of enterprises need access to eight or more data sources to deploy AI agents successfully, according to a 2024 Tray.ai study.

When Sonos released its redesigned app in May 2024, the backlash was immediate and brutal. Users couldn't access basic features like volume control and alarms. Systems became unusable. The company's stock plummeted 25%. Eventually, the CEO was replaced, and lawsuits claimed over $5 million in damages from customers who'd lost functionality they'd paid for.

The question dropped into the Slack channel before the user research summary. Before the problem was clearly defined. Before anyone asked if users actually needed this feature. Your product manager already generated three interface options in ChatGPT. Now they're asking which one to build. Not whether to build. Not why to build. Which. And when you slow the conversation down to ask those questions, you're about to discover that strategic thinking now reads as bottleneck behavior.

Harry frowned. "I'm not seeing the value in it. Can you explain it clearly? Is there any other solution?" Tom leaned in. "This isn't making much sense. You could try this instead. It's simpler." Leina sighed. "Next time you present, put more thought into your reasoning." Meanwhile, Ron trembled with anxiety. He wanted to make a point but ended up rambling. This was his second failed attempt at defending his ideas.

When a scientist feeds a data set into a bot and says "give me hypotheses to test", they are asking the bot to be the creator, not a creative partner. Humans tend to defer to ideas produced by bots, assuming that the bot's knowledge exceeds their own. And, when they do, they end up exploring fewer avenues for possible solutions to their problem.

The normative form for interacting with what we think of as "AI" is something like this: there's a chat you type a question you wait for a few seconds you start seeing an answer. you start reading it you read or scan some more tens of seconds longer, while the rest of the response appears you maybe study the response in more detail you respond the loop continues

LLMs have made AI assistants a standard feature across SaaS. AI assistants allow users to instantly retrieve information and interact with a system through text-based prompts. Mathias Biilmann, in his article " Introducing AX: Why Agent Experience Matters," discusses two distinct approaches to building AI assistants. The Closed Approach involves a conversational assistant embedded directly within a single SaaS product. Examples include Zoom's AI Companion, Salesforce CRM's Einstein, and Microsoft's Copilot. The Open Approach involves external conversational assistants, such as Claude, ChatGPT, and Gemini,