Vibecoding, False Flags, and Turing’s Ghost

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Good Morning, Leaders!

Today’s issue is stacked. We’ve got a brand-new buzzword in the dev world, an AI model that might’ve out-chatted humans, another Google gaffe, and a tariff shakeup that could mess with your model training budget. Let’s dig in.

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Vibe Coding Is Now a Thing—and It’s Already in the Dictionary

“Vibe coding,” coined by Andrej Karpathy in February 2025, is the hot new way to build software: describe what you want in natural language, and a coding-tuned LLM writes it for you. The term was added to Merriam-Webster the last month as a “slang & trending” noun.

The programming game just changed.

Your junior devs are about to move like senior engineers—and your senior engineers might turn into prompt whisperers. It’s AI-native development, and it's rewriting the rules of software velocity, team composition, and maybe even hiring.

Here’s what to expect:

• Speed over structure: MVPs in days, not sprints.

• More testing, less typing: human effort shifts from writing to refining.

• Risk of hallucinated logic: QA and security teams better stay close.

For high-stakes orgs with compliance-heavy codebases, vibe coding is both a miracle and a minefield. But for startups or internal tools, this is a cheat code.

An AI Just Passed the Turing Test

A recent experiment claims that an AI model has officially passed the Turing Test. Meaning it convinced human evaluators it was more human than… actual humans.

That’s a big PR win, but let’s pump the brakes. Here’s the fine print:

• The "Turing Test" in this case was based on perceived human-likeness, not actual reasoning or intelligence.

• The model sounded convincing, but that’s not the same as being useful, reliable, or safe.

Passing the Turing Test no longer matters. What matters is trust, transparency, and task performance. Enterprises need:

• Verifiable reasoning, not just smooth talk.

• Guardrails and explainability, especially in regulated industries.

• User acceptance: creepy bots don’t convert customers or calm investors.

The Takeaway: This is more “neat trick” than strategic breakthrough. But expect a wave of vendors pitching “Turing-level” tools soon. Scrutinize before you sign.

Google AI Publishes a Fake April Fools’ Article. Oops.

Google AI is back with a gaffe. A satire article about a man legally changing his age to retire early was picked up by Google’s AI and posted as legitimate news. No context. No disclaimer. Just another AI-shaped embarrassment.

This isn’t Google AI’s first time down this road (remember when it got schooled on cheese?)

They remain a cautionary tale:

• Content generated by AI can be wildly wrong, especially if it lacks editorial guardrails.

• If your enterprise uses AI for content, legal, PR, or customer-facing tasks, human oversight isn’t optional.

• Misinformation risk = reputation risk = real dollars lost.

If Google can’t get it right, your startup’s chatbot probably isn’t immune either.

Trump’s Tariffs Could Complicate Your AI Roadmap

The president has just issued sweeping new tariffs. While it appears they’ve provided exceptions for semiconductors, this could still dramatically affect enterprise AI strategies, especially for companies dependent on GPUs and chips sourced from China and Taiwan.

• Higher chip costs mean higher training costs, higher inference costs, and slower deployment cycles.

• Domestic supply chains (hello, Nvidia and AMD) can’t scale fast enough to meet sudden demand spikes.

• Enterprises will need to double down on model efficiency, resource allocation, and partnerships with U.S.-based hardware providers.

This is your reminder: AI might be digital, but its dependencies are very, very physical.

TL;DR:

• Vibe coding is turning prompts into production code—and your dev team should be paying attention.

• An AI passed the Turing Test, but sounding human isn’t the same as being enterprise-ready.

• Google’s AI hallucinated a fake news story, reminding us all to keep humans in the loop.

• Trump’s widespread tariffs could hit your AI infrastructure right in the silicon—plan accordingly.

The AI landscape is shifting under our feet—and the margin for error is shrinking. As the stakes grow higher, the enterprises that win will master its limits, build for resilience, and stay skeptical in all the right ways.

Stay sharp,

Cat Valverde
Founder, Enterprise AI Solutions
Navigating Tomorrow's Tech Landscape Together