weekend ai reads for 2026-02-13

📰 ABOVE THE FOLD: ON THINKING

“Faking ‘realness’ on a computer doesn’t get us anywhere new.” — Elizabeth Goodspeed on imperfection as design strategy / It’s Nice That (13 minute read)

As AI and digital tools make polish effortless, analogue imperfection has taken on new cultural weight. But what does “analogue” actually mean when most things are made, shared, and consumed digitally?

  • related, The Mythology Of Conscious AI — Why consciousness is more likely a property of life than of computation and why creating conscious, or even conscious-seeming AI, is a bad idea. / Noema Magazine (45 minute read)

Stop generating, start thinking / localghost (9 minute read)

As I see more and more people generating code instead of writing it, I find myself wondering why engineers are so ready and willing to do away with one of the good bits of our jobs (coding) and leave themselves with the boring bit (reviews).

Perhaps people enjoy writing roleplay instructions for computers, I don’t know. But I find it dangerous that people will willingly - and proudly - pump their products full of generated code.

Can AI Chatbots Write Emotionally Rich Romance Books? / New York Times (12 minute read)

Ms. Hart has become an A.I. evangelist. Through her author-coaching business, Plot Prose, she’s taught more than 1,600 people how to produce a novel with artificial intelligence, she said. She’s rolling out her proprietary A.I. writing program, which can generate a book based on an outline in less than an hour, and costs between $80 and $250 a month.

Replication Is Not Innovation / Christopher Butler (6 minute read)

But right now, what we have is a technology that excels at replication — at doing what humans already do, faster and cheaper — without expanding what’s possible. And an economy built on the assumption that replication equals innovation is an economy built on sand.

 

đŸ“» QUOTES OF THE WEEK

In an age of abundance, restraint becomes the only scarce thing left, which means saying “no” is more valuable than ever.

Jim Nielsen (source)

 

When was the last time you truly thought hard?

By “thinking hard,” I mean encountering a specific, difficult problem and spending multiple days just sitting with it to overcome it.

Ernesto (source)

 

đŸ‘„ FOR EVERYONE

AI Doesn’t Reduce Work—It Intensifies It / Harvard Business Review (11 minute read)

  • everyone had a take on this; you can read it yourself

That’s why Malwarebytes is the first cybersecurity provider available directly inside ChatGPT, bringing trusted threat intelligence to millions of people right where these questions happen.

Simply ask: “Malwarebytes, is this a scam?” and you’ll get a clear, informed answer—super fast.

The plan was presented to DOT staff last month at a demonstration of AI’s “potential to revolutionize the way we draft rulemakings,” agency attorney Daniel Cohen wrote to colleagues. The demonstration, Cohen wrote, would showcase “exciting new AI tools available to DOT rule writers to help us do our job better and faster.”

My AI Adoption Journey / Mitchell Hashimoto (12 minute read)

This is my journey of how I found value in AI tooling and what I’m trying next with it. In an ocean of overly dramatic, hyped takes, I hope this represents a more nuanced, measured approach to my views on AI and how they've changed over time.

Accounts indistinguishable from humans on social media platforms are only one issue. In addition, the ability to map social networks at scale will, the researchers say, allow those coordinating disinformation campaigns to target agents at specific communities, ensuring the biggest impact.

 

📚 FOUNDATIONS

1. The model is completing a text, not answering a question

2. The assistant persona is a fictional character, not the model itself

3. Apparent errors are often correct completions of the world implied by the prompt

An Agentic AI Primer / National Centre for AI, JISC (22 minute read)

  • related, Claude Code for Designers: A Practical Guide / Sorted Pixels, Substack, archive (39 minute read)

  • plus one more guide for researchers below

  • we keep posting these but there is so much to learn and experiment with, we always find these to be a good use of our time; we hope of your time as well

  • interesting discussion of “fossil words”, in relation to how LLMs work

 

🚀 FOR LEADERS

It’s not a better screwdriver / Near Future Laboratory (8 minute read)

1/ Your AI strategy is actually designing your organization.

2/ Most AI strategy still treats AI like an instrumental capability: acquire models, stand up a some kind of platform, define use cases that it seems the tool is suited for, add governance, and policy, and rules-of-use..and then just measure your ROI as the goose lays a bunch of golden eggs for you.

3/ But, that frame is already way too small, and likely to trip you up before it even gets going.

The new CIO mandate: Strategy, speed, and scaled intelligence — Our Global Tech Agenda 2026 shows that top CIOs are rewiring their companies for growth, deploying agentic AI and data monetization to create measurable business value. [PDF] / McKinsey & Company (9 minute read)

10 Charts That Explain the AI Era / Deb Liu, Perspectives, Substack, archive (10 minute read)

 

🎓 FOR EDUCATORS

Young People Are Using A.I. to Skip the Hardest Part of Growing Up / Clay Shirky, vice provost at New York University, Opinion, New York Times (10 minute read)

Even casual A.I. use exposes users to a level of praise humans rarely experience from one another, which is not great for any of us but is especially risky for young people still working on their social skills.

My Claude Code Setup / Pedro H. C. Sant'Anna, Emory University (3 minute read)

Work in progress. This summarizes how I use Claude Code for academic work — lecture slides, R scripts, Beamer-to-Quarto pipelines. I keep learning and updating these files. Sharing what I've figured out so far with friends and colleagues.

On LLMs as a Medium for Thought / Rotating the Space, GitHub.io (12 minute read)

Perhaps the most honest answer: this document is an artifact of a collaborative cognitive process that doesn’t map cleanly onto existing categories of authorship. It’s not ghostwriting (the human didn’t have a draft the LLM polished). It’s not dictation (the human didn’t specify what to say). It’s not the LLM’s “own” work (there is no persistent LLM-self that has views on cognitive media).

It’s something new. A residue of thinking-with-a-medium. A projection that required both the human’s direction and the LLM’s generative capacity. The authorship is distributed across the interaction itself, which is now finished and inaccessible—leaving only this trace.

 

📊 FOR TECHNOLOGISTS

Claude Code with Anthropic API compatibility / Ollama blog (3 minute read)

Claude Code is Anthropic’s agentic coding tool that lives in your terminal. With Anthropic API support, you can now use Claude Code with any Ollama model.

So far, we’ve found and validated more than 500 high-severity vulnerabilities. We’ve begun reporting them and are seeing our initial patches land, and we’re continuing to work with maintainers to patch the others.

Metabase — Open source AI Data Generator

Generate realistic datasets for demos, learning, and dashboards. Instantly preview data, export as CSV or SQL, and explore with Metabase.

StrongDM Software Factory / StrongDM blog (5 minute read)

We built a Software Factory: non-interactive development where specs + scenarios drive agents that write code, run harnesses, and converge without human review.

The narrative form is included below. If you’d prefer to work from first principles, I offer a few constraints & guidelines that, applied iteratively, will accelerate any team toward the same intuitions, convictions, and ultimately a factory of your own.

 

🎉 FOR FUN

The Spectacle / Eric Drass, YouTube (4 minute video)

this Egregore we made wants constant adulation

so we feed him everything and face the domination

  • music video with deepfakes of public figures

The Sapient Study: Spirituality and AI / King’s College London (7 minute read)

This study aims to describe how adults currently use AI systems such as ChatGPT, Claude, Replika and Character.AI for spiritual or reflective purposes, and how this relates to beliefs, identity and everyday life. The focus is on attitudes and behaviours: how people engage, what they report experiencing and how often. The study is not testing any intervention or evaluating a product. Results will provide a clear picture that can guide future research and public discussion.

  • if you use A.i. for “spiritual or reflective purposes”, KCL would appreciate your participation in this survey

MICooked — AI AITA: Get Multiple Perspectives on Your Story

let A.i. explain to you why you’re wrong in your petty disputes

free tier includes one free question per day

Each plant has been given its own name and personality, including “Jade, the Vine, the sassy ceiling-swinger of the Tropics House” and “Titus Junior, the Titan Arum, blunt, dramatic and famously foul-smelling”.

 

🧿 AI-ADJACENT

Saunders says the ad didn’t save much money and certainly not a ton of time compared to a conventional shoot; the company chose to make the ad this way because of the aesthetic and thematic value. “For us its never been an efficiency play, it’s been a storytelling play; that’s why we’ve always had strong hands on the keyboard,” she says of the spot, which will air just after halftime.

 

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