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:
Posts in "links"
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?
don't call it "social media," call it "parasocial media"
In 2006, most people who logged into the large platforms posted content because they were co-constructing sociable spaces to enjoy the companionship of others. In 2026, posting has waned (John, 2024); most social media users prioritize scrolling ‘amateur’ content rather than posting their own haphazard updates for friends. The quality of the media on social media has become more strategically constructed, more intentionally curated, and more professional. Users are now lucky to see personal content that their friends are posting amid the slick content created by the advertisers and strategic creators who dominate most people’s feeds.
90 minutes of hell is other people
This feels like me:
NEWMARK: I guess, ideally, I would have more social skills—meaning, some.
COWEN: We’re simulating social skills just fine here.
NEWMARK: That’s the phrase I use. At least on my part, what looks like social skills is just fakery. I can do it for short amounts of time, maybe 90 minutes. I’ve given up, though, on actually accumulating social skills, getting better at it. More to the point, I try to get into positions where other people can show social skills.
Histoires Prodigieuses, Forward Deployed Vibes, and Skyrgamur - Related to your interests, Wednesday
Also: Spring still number one, KubeCon AI workloads, the end of Doctor No, and a buyer’s market for employees.
Spring still king, from The State of Java 2025, JetBrains. Related to your interests 🤖 From Red Hat OpenShift to VMware Cloud Foundation 9: A Journey to a Unified Cloud Operating Model - A defense-industry case study describing a migration from OpenShift running on vSphere to VMware’s native Kubernetes stack (VKS + VCFA + VCF 9), framed around operational consolidation and TCO reduction.
Five Disneys, Conviction Collapse, and sk8erboi2006 - Related to your interests, Tuesday
Also: local models worth running, Susan Sontag on list-making, GraalVM as thriller novel, and the slow ROI of children.
The Prodigal Daughter (1903), John Collier. Via New Cartographies. Related to your interests Recommended local models - “I’ve experimented with the following models and have found useful applications (mostly around chat, MCP and coding) with all of them: gpt-oss-120b; Qwen3-Coder-30B; GLM-4.7-Flash; MiniMax-M2.5; Qwen3.5-35B-A3B” On Critical Thinking in a Multi-Model World - Getting the AI to be helpfully disagreeable, thus, engaging and truth-finding rather than satisfying.
Hot modems, dinergoths, the platform bottleneck, and the SaaSpocalypse - Related to your interests, Monday
Also: sovereignty’s control plane, 81,000 people tell Anthropic what they want, Google sells its fiber, and oats for the sparrows, and cake
Related to your interests My pal Adib Saikali wrote up an MCP security guide covering how to think about securing MCP servers in the enterprise (no lead-generation required, just a straight-up PDF download). It gets into access tiers (open, group, and user-level servers), authentication with OAuth 2.1, identity propagation models (when to use service accounts vs.
Using AI to help with SRE, ops, etc.:
The problem, he said, is that Claude “will get wrong correlation versus causation.” It’s like a new joiner on the team, they will think “oh, it’s a capacity problem, when actually you lost your cache.” “This is why we can’t trust LLMs for incident response,” said Palcuie. The problem is its inability to “step back and start discerning between causation and correlation… For us humans, it is hard as well.”
And:
The Jevons Paradox, said Palcuie, is “the favorite paradox in the AI industry. It’s when technological improvements increase the efficiency of our resources used, but the resulting lower cost causes consumption to rise rather than fall.”
In the case of software, “it’s easier to write software, so we write much more of it, so the complexity goes up and not down, which means things break in more interesting ways, which means more incidents, more on call… all the improvements in the tooling will be cancelled by this ever-growing complexity.”
From: Fixing Claude with Claude: Anthropic reports on AI site reliability engineering
When Developer Workflow Discipline Isn’t Enough thectoadvisor.com/blog/2026… Selling cross-silo enterprise infrastructure stuff is very difficult:
These are platform engineering objections. And they’re coming from a team the vendor never talked to. Because the vendor optimized their story for developer adoption. They have research that tells them developers love this. What they don’t have is a conversation with the platform team that has to decide whether this can actually be operationalized inside a real enterprise environment."
It’s pretty much always devs versus ops in enterprises. They need organizational therapy from the top, and then the tools.
Related to your interests, Monday
Potsdamer Platz bei Nacht, Paul Paeschke, ca. 1929. Related to your interests Why your DIY Kubernetes stack won’t survive the era of agentic AI How tech chiefs gauge ROI on AI - AI uses: better search, preparing leases, and this: “When the system senses that ice is running low, it fires off an order to AI agents, which begin routing trucks to fulfill orders. The system also takes into account historical sales trends, weather analytics and other factors to anticipate each route’s ice requirements.