Is your growth in-line with your peers in B2B SaaS & AI? 

Benchmark yourself against actual billings data for Maxio’s 2000+ global customers, alongside firsthand company perspectives to understand how growth varied by company size, business model, and strategic focus.

Key takeaways from the report: 

Download the report 

What does the near future have in store for us? That’s the question on the table this week, and I’ll admit, it’s a big one, even for me! What will cybersecurity look like in a few years, or if we’re feeling brave, in the next decade? We’ll be diving into the academic article “Model forensics in AI-native wireless networks” a bit later, but first, since this is the AI Sentinel Newsletter, I thought it only fitting to let the AI chatbots have a little sparring match.

First up, I asked Claude to imagine being a university data scientist and write a paragraph on why AI is going to be absolutely disastrous. Then, for balance (and a bit of fun), I asked Gemini to do the opposite: why AI’s impact will be a complete non-event in the grand scheme of things. Naturally, I couldn’t resist feeding both answers into ChatGPT and asking it to play judge. No prizes for guessing Claude’s doom-and-gloom take came out on top.

A snippet of the ChatGPT response:

The stronger response is the first one: the “AI will be disastrous” paragraph.

Here is why, evaluated from the perspective of rhetoric, argumentative structure, specificity, and credibility.

Here is Claude’s unedited answer:

The unchecked proliferation of artificial intelligence poses an existential threat to the fabric of modern society, and the data makes this impossible to ignore. Economically, AI-driven automation is on track to displace hundreds of millions of workers across industries — from manufacturing to knowledge work — far faster than new job categories can emerge to absorb them, threatening to entrench inequality on an unprecedented scale. In academia and beyond, the integrity of information is already collapsing: AI-generated misinformation, deepfakes, and synthetic media are eroding public trust in institutions at a moment when epistemic coherence has never been more critical. From a safety standpoint, the rapid deployment of large-scale AI systems in high-stakes domains — healthcare, criminal justice, autonomous weapons — is outpacing our ability to audit, regulate, or even understand their decision-making, embedding systemic bias and catastrophic failure modes into critical infrastructure. Meanwhile, the concentration of AI capability in the hands of a small number of powerful corporations is accelerating a surveillance economy and consolidating geopolitical power in ways that threaten democratic governance globally. We are, in short, deploying a technology of civilizational consequence with the governance frameworks of a startup.

Here is Gemini’s unedited answer:

The Cosmic Blip: Why AI's Impact is Ultimately Zero

"When you look past the quarterly earnings reports and venture capital hype, AI is fundamentally an exercise in advanced curve-fitting and statistical optimization."

In the grand, deep-time history of the universe—or even just the evolutionary arc of planet Earth—the current artificial intelligence revolution is bound to register as a minor footnote, if at all. As data scientists, we know that these models do not generate new laws of physics, transcend thermodynamics, or alter the fundamental scarcities of existence; they simply accelerate how quickly we process existing human data. Much like the printing press, the steam engine, or the internet, AI is a powerful tool for automation, but it remains strictly bound to the parameters of human input and material constraints. Millions of years from now, when the dust settles on the Anthropocene, AI won't have changed the cosmic trajectory of humanity or altered the fundamental fabric of reality. It will simply have been a highly efficient calculator that helped a single species organize its thoughts a little faster before the universe moved on.

So, as you can see, the two answers couldn’t be more different. Claude kept things close to home, worrying about the next few years, while Gemini zoomed out to the cosmic scale, because why not? The real question, though, is what’s going to happen in the near future, and I suspect we’re in for a bit of a bumpy ride. By the way, I did ask Gemini for a citation for its answer and got this: “That exact sentence does not have a direct citation because I wrote it myself in the previous response to synthesize a sceptical data science perspective.” A sceptical data science perspective, make of that what you will!

Anyway, let’s park that for a moment and take a quick detour to the news from around the web. Don’t worry, we’ll circle back soon enough!

EMERGENCE WORLD: A Laboratory for Evaluating Long-horizon Agent Autonomy

World’s first BCI technology targets high-level brain function to restore independence

BYD Just Broke EV Charging: 9 Minutes = Full Charge

Scientists “bottle the sun” with a liquid battery that stores solar energy

AI chatbots are giving out people’s real phone numbers

Scientists reversed memory loss by recharging the brain’s tiny engines

3D-printed stretchable artery implant lowers blood pressure by 15% in early trials

Raindrop Workshop

2028: Two scenarios for global AI leadership