Eugene Winter

06/08/2026

The new chair of the US audit board warned Thursday that despite its successful track record, the industry watchdog must modernize its approach to regulation, and prepare for rapid changes in technology and shifting market demands. Read more at the link in our comments.

06/08/2026

Learn how to set up predictive MRP in SAP S/4HANA, including creating simulations, configuring job templates, and efficiently managing planning processes.

06/06/2026

OpenAI CEO Sam Altman has predicted that artificial intelligence will soon be commercialized as a basic utility. Instead of standard flat-rate software subscriptions, users will likely buy AI on a metered system. This model mirrors the way modern households pay monthly for essential resources like electricity, water, and Wi-Fi.

This transition is directly tied to the architecture of large language models, which process data using specific units called tokens. Under a metered system, basic text queries would cost next to nothing, while resource-heavy tasks like running complex multi-step agents would register a higher rate. Tech providers are already building massive data centers to support this pay-per-use computational grid.

While proponents argue that pay-on-demand structures will lower barriers for startups, the model has drawn sharp criticism from consumer advocates. Skeptics point out the irony of corporations charging metered rates for technology trained by scraping public human data for free. As computing demands surge, this shift highlights the race to control the infrastructure of digital reasoning.

06/06/2026

Greenleaf Book Group is a publisher and distributor dedicated to helping independent authors and small presses getting their work published.

06/06/2026

Essential FI: Financial Accounting in SAP S/4HANA with Steve Turner provides a structured, practical walkthrough of how FI works in SAP S/4HANA.

📅 June 9–30, 2026
🕙 10:00 a.m.–3:00 p.m. ET
💻 Four live online lessons

Across the course, you’ll explore:
• FI platform fundamentals
• FI subledgers including G/L, AP, AR, and AA
• Document flows and key configuration touchpoints
• Period-end activities and financial processes
• Integration points that shape day-to-day finance operations

Join live to ask questions throughout the course and get expert guidance from Steve!

Plus, all recordings and slide decks are included.



Secure your spot now to join live next week! https://hubs.la/Q04jTT970

06/05/2026

Nvidia is backing an innovative pilot program with Span and PulteGroup that could transform ordinary residential homes into mini AI data centers. Instead of building massive warehouse campuses, they want to distribute computing power right into our neighborhoods.

Because artificial intelligence requires immense electricity and cooling, companies are rethinking infrastructure. This concept places compact, GPU-powered compute units right beside houses. These small units would connect directly to your residential electrical system to process intense AI workloads efficiently.

In exchange for hosting these units, homeowners might receive compensation, energy bill offsets, or smart battery upgrades. Your house could literally help power the future of technology while earning you money.

06/05/2026

06/05/2026

06/05/2026

🚨 Microsoft released Frontier Tuning at Build 2026 — and it's worth understanding what makes it structurally different from standard fine-tuning.

Most enterprise AI deployments struggle not because the model is bad, but because the model doesn't know how your organization works. It doesn't know your approval chains, your terminology, or the sequence of steps your team actually follows.

Microsoft Frontier Tuning uses reinforcement learning inside a sandboxed environment — the model learns from the actual trace of work being done: tool calls, decisions, corrections, outcomes. The result is a MAI model tuned specifically to your workflows, running under your compliance controls, with weights you own.

Early numbers from Microsoft Build 2026 are hard to ignore: one internal HR deployment went from 13% to 87% task completion after tuning. McKinsey ran a tuned MAI model at roughly 10x lower cost than general-purpose alternatives.

Full breakdown of how it works is on the blog. Link in comments.

06/05/2026

A year-by-year guide to help you solve the biggest challenge in investing.