In a tense situation, take a moment to say out loud your opponents position, feeling, and perspective. This is like setting up context and prompting for an AI. You put that in the context window and it flavors the ongoing conversation. It’d probably do interesting stuff in AI chats. Those chats are so explicit and non-confrontational that these dynamics probably already happen.
🔗 How to Fix Breakdowns in Communication
Posts in "links"
The charts say things are OK
It’s astonishing that the richest country in world history could convince itself that it was plundered by immigrants and trade.
🔗 One-Third of US Families Earn Over $150,000
Feels a little bit like a platform standard so powerful that you need an AI front-end to make it usable by mere mortals.
Yes:
Kubernetes started as a way to orchestrate containers, but its true innovation lies in its API model. The declarative resource pattern, with its desired state, actual state and continuous reconciliation, has proven to be a universal abstraction. It works for workloads, infrastructure, policies and more. That universality is why Kubernetes has become the foundation for IDPs. It provides a consistent way to define, extend and enforce platform building blocks.
The ultimate bike-shedding story, and, always make your own slides
The iterative design process for the Mac calculator app highlights the challenges of executive feedback and suggests that executives should use AI to better articulate their visions.
AI uses at banks, private AI and customer built AI apps - skills and regulations are the friction for wider adoption
The most common use case for agentic AI is customer service, according to 75% of banks surveyed by Capgemini. Nearly two-thirds use the technology for fraud detection, while 3 in 5 use it for loan processing and customer onboarding.
Also, 84% of apps/uses are built in house:
BNY developed its AI agents in-house, which one-third of banks also reported doing in the Capgemini report. Only 16% reported buying AI agents off-the-shelf.
Some of the risks of having AIs write codes and AIso check code, “recursive AI security loops.” There’s also some advice about what to do, a post from Camille Crowell-Lee.
Lawyers love AI
At this point this feels like what it’s showing is that the amount of work needed to do law is crushing and unreasonable. And/or that the potential for profit is so high that taking stupid risks is worth it.
🔗 Vigilante Lawyers Expose the Rising Tide of A.I. Slop in Court Filings
You can probably do it with a spreadsheet.
Tech DEI programs on decline
Major employers including Meta and Google suspended minority hiring targets and dropped some references to “diversity, equity, and inclusion” from their websites and regulatory filings around the time of Trump’s order. Meta and Google also significantly reduced funding for DEI initiatives, such as events, training, and recruiting drives aimed at improving representation of minority groups, according to company announcements and employees.
🔗 Google, Microsoft, and Meta Have Stopped Publishing Workforce Diversity Data
"The core IT spending is now projected to hit $3.45 trillion"
“Gartner is now projecting that datacenter systems spending in 2025 will rise by 46.8 percent to $489.5 billion, which is an incremental $14.6 billion in spending in the datacenter for hardware and base systems software. The core IT spending is now projected to hit $3.45 trillion, an incremental $59.8 billion in spending and representing a 12.5 percent growth over the $3.06 trillion in core IT spending in 2024.”
🔗 Gartner Raises 2025 IT Spending Forecast, Puts Out 2026 Prediction - IT Jungle