Winning in the court of opinion, and all that:
Musk, to be clear, has already succeeded. Regardless of what actually happened and what’s decided from here, he’s inflicted real pain. The trial has been an opportunity to make Altman and OpenAI’s founders look like greedy, sociopathic liars, which is a narrative that much of the public wants to believe.
And, it’s worth asking if things could have turned out any other way than a non-profit kind of contorting its way to becoming a for-profit:
Got your deck ready?
Image by geralt on Pixabay. The mystery is why everyone is using presentation software for communication that is not a presentation.
Predicable, I’ve spent a lot of time thinking about this post since first reading it.
The mystery of this is that everyone complains about slides-driven work cultures, but the revealed preference is that people like it because everyone does it. So…slides must…work…?
(One answer is that it’s not the people who make the slides that like them, it’s management whose staff makes the slides for them that like it.
Bedazzled by slides and data
During the 2000s, slides became even more ornate. Consultancies evolved their formatting rules, and created fancy data-dense charts. They learned that a 200 slide deck made clients feel like they got a lot for their money.
E.g.:
I vividly remember being shown the charts room in fund manager Fidelity’s huge London office. There were graphs of everything under the sun. Was the theatre of the chart room the big sell to clients, or was it a useful tool for the analysts?
Tax code hacking
Using AI to hack tax codes is a bigger threat than hacking computers.
Using AI to hack tax codes is a bigger threat than hacking computers. https://www.schneier.com/blog/archives/2026/05/how-dangerous-is-anthropics-mythos-ai.html
🔗 How Dangerous Is Anthropic’s Mythos AI?
Datacenter NIMBYism: What Did You Think Was Going to Happen?
Tech people are amazingly bad at marketing to The Community. And by “the community,” I mean normal people, not the “open source community.” Take the datacenter problem. Tech companies need more compute, so they need datacenters. They plop them down in some small town, avoid paying taxes, and consume huge amounts of electricity and water.
To the locals, these city slickers just take. They don’t give anything back.
It’s like whoever is making these decisions didn’t live through the Walmart-ization of Main Street.
McDonald's Geofence, Power Tools Got Worse on Purpose, and Big Things Are Trusted Less - Related to your interests, Wednesday
Also: AI makes marketing opaque, execs value humans less, and clown world logic.
You’re either left holding the bag, or pro-activity delivering “value creation” The answer is pretty clear: TryTanzu.ai.
Related to your interests What’s New in Tanzu Platform 10.4: Powering Agentic Apps at Scale - Nick and Keith walk through it. Quit VMware and you’ll emerge with more complex and less capable infrastructure - “One is that few organizations will be able to quit VMware entirely, as they run applications with dependencies that aren’t easy or economical to unwind.
Because it seems fancy pants and authoritative:
The generally accepted hypothesis to explain this overuse ties back LLMs’ training and reinforcement processes. As models learn to predict language patterns, they begin to use their learned patterns to do so. However, this isn’t the only factor determining which patterns get used more often. Models like Claude and ChatGPT have an additional goal with their responses: to provide users with clarity. Em-dashes, which allow for explanatory pauses and the breaking down of complex ideas, are an ideal tool for AIs. As such, LLMs are not only introduced to more em-dashes, but their training also reinforces their usage. This results in em-dashes appearing more frequently than in typical human writing.
Tanzu's 15-Year Head Start, Max Headroom in Every Terminal, and Doctors Catch the AI Bug - Related to your interests, Monday
Also: Mirantis acquisition logic, and tech jobs at a 3-year high, so why the layoffs?
Here’s the latest Tanzu Catsup:
AI lets us find more vulnerabilities, faster than ever. That’s good news. You want to know what’s broken, and you want to patch it. The hard part is the volume. How do you handle it without drowning?
We stream these every Friday at 10am US Eastern/4pm Amsterdam time.
Mythos Firefox, the AI Job Fantasy, and Oregon Red Clover - Related to your interests, Saturday
Also: opinion shows for writers, no-update weeks, and the Spinoza heresies.
From: The Brautigan Library Related to your interests Pushing Local Models With Focus And Polish - Building a DIY AI stack is difficult. The “AI Job Apocalypse” Is a Complete Fantasy - “The macro story is not a jobless future, where we retire fat and complacent to our Netflix-scooters.” // Yes, but, There is a bit of “disruption for thee, but not for me” going on in pieces like this.
Tinkerslop, Class Wartime, and Jobs Not AI Enough - Related to your interests, Friday
Also: VCF 9.1 prefers private cloud for AI, the McGroc analyst trap, and the bank that lost the pope’s account.
From: The undertow - Astrid Related to your interests VMware Cloud Foundation 9.1 - a roundup of it all. Broadcom Announces VMware Cloud Foundation 9.1 - “A preview of Broadcom’s Private Cloud Outlook 2026 report reveals private cloud continues to be the preferred platform for production AI.