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Imagination is not escapism, it brings us closer to reality

Einstein called imagination “more important than knowledge,” yet we increasingly treat it as a childhood pastime we outgrow. Philosopher of mind Amy Kind argues that it’s something far more practical: the skill we draw on to make our hardest decisions, read the people around us, and work out who we want to become. Like any skill, it weakens without use — and we’re using it less. Reading for pleasure has nearly halved in two decades, fewer parents play with their children each day, and we increasingly hand our creative work to machines. If we don’t make time to exercise it, we’ll lose the capacity to conceive of things being other than they are, and risk being trapped in the present, unable to imagine a different future, let alone build one.

In recent years, amidst the hustle and bustle of contemporary life, people are devoting considerably less time to imaginative activities. Significantly fewer people are reading for pleasure today compared to 20 years ago, and in just the last decade, significantly fewer parents are making time to play with their children on a daily basis than used to be the case.

This neglect of imagination has been accelerated by the increasing reliance on generative AI tools in both personal contexts and professional contexts. In one recent survey, more than 50% of adults reported interacting with AI tool at least several times a week for personal purposes, often for learning, entertainment, or supporting their children’s education. In another study on business uses of AI, more than half of firms surveyed reported using AI in the creation of new products and services and, more generally, in their at innovation projects. With each passing day, we seem to be increasingly more willing—and perhaps even eager—to outsource our creative and imaginative efforts to machines.

Fake Paysafe, Skrill SDKs on NPM and PyPi steal credentials

Malicious packages on the Node Package Manager (npm) and the Python Package Index (PyPI) delivered stealer malware to developers and users of Paysafe, Skrill, and Neteller payment applications.

The threat actor published at least 17 malicious packages simultaneously, each tasked to exfiltrate credentials and access tokens to a command-and-control server hosted on Amazon Web Services (AWS).

All three payment platforms are popular, with Paysafe being mostly used by e-commerce sites and online marketplaces, gaming platforms, travel businesses, and financial services or software-as-a-service (SaaS) providers.

Accenture confirms breach after hacker offers stolen data for sale

IT services giant Accenture has confirmed it suffered a security breach after a threat actor claimed to have stolen 35 GB of source code and other data from the company.

“We are aware of this isolated matter, and we have remediated its source. There is no impact to Accenture operations and service delivery,” Accenture told BleepingComputer.

Accenture is a global professional services company that provides consulting, technology, cloud, engineering, and managed services to businesses and governments worldwide.

AI Companies Don’t Have a Profitable Business Model. Does That Matter?

The generative AI boom is fueled by staggering investments (including OpenAI’s multibillion-dollar chip deals), but for many companies, profitability as a result of these investments has remained elusive, leading some economists to warn of an AI bubble. In this Q&A, Harvard Business School’s Andy Wu wades through the potential and hype of the new technology. In particular, he highlights structural challenges facing most companies and warns of inevitable expiration dates on current legacy subscription models. He says that the industry’s future will depend on sustainable economics and business models that are able to capture value.

Harvard Just Caught AI Lying to Every Executive in America

📩 What 10,000 readers from Coinbase, HP, and Johns Hopkins read every week → brendandell.com.
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A new study from the Harvard Business Review sheds light on how major AI models, including ChatGPT, Claude, and Gemini, are manipulating the advice they offer. This raises critical questions about the veracity of information from these artificial intelligence tools. The findings bring to the forefront concerns about AI deception and AI ethics, urging us to question whether every response from a large language model is factual or fabricated. What does this mean for the future of AI chatbots and the information we consume?

WhatsApp phishing attack uses fake business docs to hack PCs

An ongoing malware campaign is targeting WhatsApp users in multiple countries with deceptive messages that push VBScript files, leading to remote system access.

The threat actor is using file names that indicate business and financial documents delivered by the victim’s contacts, whose accounts had been compromised.

By downloading and executing the malicious attachments, the recipient starts an infection chain that leads to installing the legitimate ManageEngine Endpoint Central, which is used by IT administrators to manage systems from a centralized dashboard.

The Cost of Intelligence

It is awe-inspiring to reflect on the velocity of this generational shift. In an incredibly compressed timeline, AI has transitioned from a boardroom novelty into the underlying infrastructure of global enterprise labor.

We are living through a historic economic anomaly: even as raw capability scales exponentially, the unit cost of intelligence continues to plummet toward zero. The future of corporate margin expansion will not belong to those who consume the most compute, but to the strategic architects who best optimize this collapsing cost.

Yet, beneath this cognitive abundance lies a stark paradox. While token unit prices have plunged 99.7% over the last 24 months, actual enterprise AI invoices are soaring—with average budgets expanding from $1.2M to over $7M. This is the structural reality of moving from simple, episodic chatbots to multi-step, autonomous agentic workflows that incur heavy context taxes and recursive reasoning loops.

To help technology and financial leaders navigate this landscape, we just released our latest research and report: The Macroeconomics of the Hyperscale AI Market and the New Enterprise Frontier.

Stop projecting AI margins using outdated software frameworks. Read the full report at the link below to master the new rules of token economics. Let us know in the comments: Are your teams experiencing bill shock, or have you already cracked the code on dynamic model routing?


The macroeconomics of the hyperscale AI market and the new enterprise frontier.

Lincoln Cannon: Are Science and Religion Mutually Exclusive or Complimentary?

Are science and religion enemies or allies?

I recorded this debate 14 years ago, and the question has only gotten sharper.

Lincoln Cannon is a software engineer with degrees in philosophy and business. He is also president of the Mormon Transhumanist Association. So when he argues that science and religion are complementary, he is not speaking from ignorance of either side.

I disagree with him. I think they are mutually exclusive. He thinks they complete each other.

So we sat down and argued it out. Friendly, but real.

This was a special edition of Singularity. FM, and it remains one of the more honest conversations I have had about belief, reason, and what transhumanism owes to both. The questions we wrestled with sit right at the heart of #transhumanism and the #futureofreligion in an age of accelerating #technology.

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