Posts in "newsletter"

“Significant improvement but still issues.”

Not much today. Found at the ITQ offices.Wastebook"decision-makers can remain irrational longer than you can remain solvent. Career advice in 2025. ”a concept as antiquated as intent.” NYTimes. “a felicitous remove.” Spicy. “Significant improvement but still issues.” Oxide and Friends. Relative to your interestsA Conversation Algorithm I Cribbed From Clinical PsychologistsWhat does “open ended question” even mean? Here’s some examples, and a conversational framework built around it. This also probably good for sales and marketing.

The Illiterate Corporation

I’m the guest on this week’s When Shit Hits the Fan podcast. You can hear about two of my fan shattings. Here’s the podcast in Apple, Spotify, and Overcast. Favor documents over slidesSlides are an oral culture, not a written culture. Imagine civilization without writing: that’s what organizations relying on slides instead of documents are like. There are workarounds, and they tend to prove the comparison. Often, you will see a slide with a lot of words, and the presenter will apologize that there’s too much text.

The agentic AI hype-cycle is nearly done

To Have and Have Not, Christopher Still. Found in Leiden thrift.Wastebook“We live in the age of ‘fuck around and find out’ - of iteration and experimentation.” 8Ball wisdom. “15 years ago, the internet was an escape from the real world. Now, the real world is an escape from the internet.” Noah Smith, via Ibid.. “everything is optimized for engagement instead of meaning,” the Curmudgeon Era of life. If the likely outcome is the same, you might as well do a good job, so long as that’s fun too.

For enterprise AI, avoid repeating the wasted DIY year

You're about to waste at least a year and millions of dollars on enterprise AI projects. Here's how to avoid it. Here’s a new article on enterprise AI from me and a co-worker. As with most maturity models, it’s 2/3 prescriptive and 1/3 “here’s some ideas that might help.” A bit of map and territory. With AI, we’re seeing a familiar anti-pattern, but this time flavor-injected with generative AI: the board charters a tiger team, gives them budget.

What we love is good for us, sometimes

What we love is good for usDavid Lynch on smoking: "But that said, he admitted smoking played a huge part in his life. “I don’t regret it. It was important to me. I wish what every addict wishes for: that what we love is good for us.” He went on: “A big important part of my life was smoking. I loved the smell of tobacco, the taste of tobacco. I loved lighting cigarettes.

How to find waste with the robot

My first law of enterprise AI: if you end up having two robots talk with each other to complete a task, that task was bullshit in the first place, and you should probably eliminate it rather than automate it. For example, if AI is used in both sides of B2B procurement (enterprise software sales), then much of the process is probably bullshit in the first place. There is so much weird and ancient in procurement, on both sides, that it’s clearly a poorly done process and part of enterprise IT culture.

What AI is good at, or, please don't fuck up my job and ETFs

I’m clearly a big fan of AI and believe it’s helpful in many ways. I feel comfortable with that because I’ve used it for over two years now and rely on it daily for a wide variety of tasks, both work- and personal-related. That means I know exactly what it’s capable of, what it’s good at, and what it’s not good at. Me and the robot have a good relationship: we know how to work with each other.

Using AI for HR - management and workers

Enterprises pouring money into GenAI and CEOs treating AI agents like cheap labor - yet only 25% see ROI right now. Vibes: “Europe’s long holiday from history is over.” Also: IBM does RTO, predictions about DOGE layoffs, the term “platform” remains a favorite excuse for overcomplicated tech, and “autonomous killer robots.” AI comes for HRWhat to make of using AI to automate HR processes? Melody Brue and Patrick Moorhead look at Oracle’s work there:

Semiconductors, Security, and the DeepSeekFreak, along with Ass Semiotics

In this episode: AI eschatology, assology, and a deep, intellectual commitment to hating mayonnaise. Tariff trouble, security panic, and NVIDIA shrugging off DeepSeek. Young voters shift rightward, no one agrees on ‘medium roast,’ and Hollywood still relies on glue to critique its own youth obsession. Wastebook“immanetize the AI eschaton,” Charlie Stross. “The ass is a very strong symbol of how our body is not neutral in the public space. How our body is constantly scrutinized, has been shaped to please the man’s eyes, has been seen as a body part that was objectified, that was detached from the person who was simply bearing it.

A head full of bologna

Lots of links and stuff this episode: AI isn’t a coworker, it’s just automation wrapped in hype. Tech moves fast, but nothing lasts—except bad takes, questionable business models, and the creeping realization that managers just want fewer humans to manage. Meanwhile, we live like kings and don’t even notice. Put it on iceGood episode of Software Defined Talk this week, especially the opening moment of absurdity where we, yet again, try to solve Europe’s ice problem.