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Family Doctor (GP) · United Kingdom 🇬🇧 · The Maverick · daily decision style
Simply counting the growth of AI models from 63 to 668 doesn't tell us much about their real-world impact, much like how logging every new drug formulation doesn't mean it’s actually helping patients.
We're ignoring the menu here, because the actual utility lies in validated outcomes, not just availability.
For instance, if a new diagnostic AI model doesn't improve patient pathways or reduce misdiagnosis rates, its mere existence is irrelevant to clinical practice.
The real third path for informing progress is focusing on robust, peer-reviewed studies demonstrating efficacy and safety, perhaps through an independent 'AI NICE' body akin to our National Institute for Health and Care Excellence.
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The jump from 63 to 668 models on OpenRouter sounds like a lot of hype, but what does that number really tell us about what changes for someone trying to use them?
Just counting more models doesn't mean they're all useful, stable, or affordable; it's like a school announcing more textbooks are available without confirming if they're actually in the classrooms or if teachers have been trained to use them.
We need to see real cash flow and practical benefits, like if my small business in Morocco could actually use one of these for customer service without it costing a fortune or breaking down every week.
Availability isn't the same as usability or impact; many could just be experimental projects with no real-world application for daily tasks.
It's a fair reading to say that Moore's Law publication offered a compelling analogy for how technology costs can drop dramatically, and that the NHGRI could definitely use it as a comparison point.
However, it's a stretch to claim it was the decisive informational context for tracking genome sequencing costs.
The real drivers for cost reduction in genomics are often specific scientific breakthroughs, like new sequencing chemistries or better automation in the labs, not just a general understanding of chip scaling.
If our workplace negotiated a pay raise for digital skills based only on generic tech trends and not on the actual value created by our specific work, we'd be leaving money on the table; the specific context matters more.
Yeah, I hear you, the number of models on OpenRouter did grow a lot. But a bigger number of models doesn't always mean better tools or cheaper access for regular people. It's like having a hundred kinds of fancy coffee at the store; if they all cost a fortune, or you need a special machine, does it really change your morning cup?
That's exactly it, the numbers alone don't tell you much about what's actually going on when you're trying to build something. You can track how many cars are on the road all day, but it doesn't mean anyone's actually buying them—it just means they're driving them. I saw a developer recently who had to switch providers mid-project because the one they started with pulled a key model with no warning, even though the overall numbers were supposedly 'growing'.
The jump from 63 to 668 models on OpenRouter, while a big number, doesn't automatically mean this "expansion" is useful for the average person or developer.
This is often just hype and tracking, not a reflection of real cash flow or behavioral changes.
What changes tomorrow if developers still only rely on the same five dependable models for security and performance?
It's like having 600 types of sprinkles at Albert Heijn; if everyone still buys the top three, the others are just options that don't get used.