When AI music crashes the Olympic stage

Today we are going to see, At the 2026 Winter Olympics, one ice dancing pair chose something unexpected. Instead of a classic ’90s anthem, they skated to an AI-generated knockoff. Also, IBM has launched a new generation of enterprise storage and it doesn’t need much from you. The updated FlashSystem portfolio runs on agentic AI, built for autonomous performance.

In today’s post:

• They skated to AI music at the Olympics

• IBM just made storage… autonomous

• Will AI eat Wall Street?

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BREAKTHROUGH

An Olympic performance that wasn’t entirely human

At the 2026 Winter Olympics in Milan, Czech ice dancers Kateřina Mrázková and Daniel Mrázek delivered a stunning routine powered, in part, by AI. But what should have been a milestone in athletic achievement has stirred something else entirely: a creative crisis.

Here’s everything you need to know:

• The sibling duo used AI-generated music for their rhythm dance, a first for the Olympics.

• NBC commentators casually noted it mid-performance: “This is AI generated, this first part.”

• Their track combined real AC/DC with an AI-generated ’90s-style Bon Jovi soundalike.

• The lyrics? Suspiciously close to “You Get What You Give” by New Radicals, including actual lines from the song.

• This isn't new for the pair; they've previously faced criticism for using AI tracks that mimicked copyrighted lyrics.

• The ISU hasn’t banned AI music, but it raises questions: If the performance is human, should the music be, too?

• Meanwhile, the AI music tool’s mimicry wasn’t just statistical, it was nearly plagiaristic, blurring legal and creative lines.

Ice dancing is about precision and expression. When the music behind that expression is synthetic and eerily derivative it pulls us out of the moment. This isn’t just about copyright. It’s about what happens when art is reduced to probability. The skaters were real. The question is, was their moment?

UPGRADE

Agentic AI is now running your data

IBM has launched its most significant storage upgrade in six years and it’s not just faster. It’s self-managing. With agentic AI baked in, the new FlashSystem portfolio is built to think, detect, and adapt without waiting for human input.

Here’s everything you need to know:

• FlashSystem 5600, 7600, and 9600 are IBM’s new all-flash enterprise systems, optimized for everything from remote offices to mission-critical AI workloads.

• FlashSystem.ai introduces co-pilot AI agents that automate monitoring, remediation, compliance, and performance tuning across your storage stack.

• IBM claims up to 90% less manual effort on common storage tasks, thanks to autonomous workflows.

• The 5th-gen FlashCore Module offers ransomware detection in under 1 minute, with less than 1% false positives.

• FlashSystem.ai adapts in real time to your app behavior, making performance suggestions and explaining its decisions, a big shift from “set-and-forget” templates.

• System density is wild: the 5600 packs 2.5 PBe in a single 1U, and the 9600 hits 11.8 PBe with 6.3M IOPS.

• AI isn't just helping you run storage, it’s documenting everything for audits, compliance, and recovery, automatically.

This isn’t just IBM adding AI to storage, it’s redefining what “infrastructure” even means. When systems can learn, defend, and evolve on their own, IT ops becomes less about control and more about trust. If this works as promised, FlashSystem won’t just run your data. It’ll run your confidence, too.

PROFITS

The finance industry’s profit engine may finally meet its match

AI has already reshaped software. Now it’s staring down finance. Paul J. Davies argues that despite Wall Street’s long history of survival, the rise of agentic AI might challenge the very mechanics that keep the industry profitable.

Here’s everything you need to know:

• Firms like Anthropic are training AI models, like Claude, in advanced financial modeling fast, cheap, and scarily good.

• Many bank roles rely on interpreting data, predicting trends, or running models, tasks AI can already do at scale.

• Historically, finance has thrived by reinventing itself with each wave of tech disruption.

• But if AI collapses margins across trading, analysis, and fund management, where will the next moat come from?

• Traditional advantages speed, access, and exclusivity are fading as AI levels the field.

• The real threat isn’t replacement. It’s irrelevance: AI may automate away the very friction finance profits from.

• Yet, Davies notes, the industry’s track record of resilience suggests it might adapt rather than vanish.

If AI kills the financial middleman, it won’t happen with a bang, it’ll happen with quiet efficiency. The industry's real test isn’t technological. It’s existential. What’s finance without friction? If the machines get that answer first, humans may not be needed to ask it.

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