Vendor lock-in is real and it’s scary. You are helpless to the constant price increases and each passing renewal you get deeper and deeper into the lock-in. Here’s to the day when someone clever with AI can disintermediate this situation. You don’t have to vibecode your own CRM but imagine a deterministic harness that lets you lego-block CRM functions like lead management, opportunity tracking, contact list, campaigns. There shouldn’t be a moat anymore.
Not really. Mixture of models and mixture of experts have been around. It’s easy to switch a project harness from Codex to Claude to Gemini and to open models. You’re not locked in to a model, you’re more concerned about competitive token cost.
I still remember in 2016 when Elon Musk made a big announcement about his "acqui-hire" of the Dalhousie University EV battery research team led by Dr Jeff Dahn. There was much fanfare and announcements of million-mile batteries and 3% increase in energy density every year.
Moving on from miracle batteries to Thai rescue to Hyperloop tunnels and presently to data centers in orbit.
Elon is a fraud but Jeff Dahn and Dalhousie are legit.
Lithium batteries have been increasing in density at about twice that rate for the last decade. And million mile LFP batteries are available, NCM is nearing that benchmark.
All credit to the people who actually research and build them which is not Elon, since Tesla don't even produce the majority of their own battery usage.
It’s so exciting to read more and more articles like this, using LLMs to discover clever solutions. I mean how many of us have dreamed of scanning years of receipts, waiting for that moment when you know a DIY solo application is at hand. I’m not being sarcastic, I too have a drawer full of Costco receipts which to me are data waiting for insight, not just crinkly paper. It’s more than being clever, it’s the realization of using a device not as a tool, but an equal partner who can suggest what tools and approaches to do. The end product of the LLM is not the point (although it can produce it better than ever), it’s the way an LLM can elevate messy knowledge work. A single person can now say that analysis knows no bounds.
Or just eat an extra few minutes of charging time once or twice a year; it's simply not a big deal. Charging at home saves me so much time relative to getting gas that the occasional road trip wait is already overcompensated for. ICE/hybrid only saves you time if you can't charge at home or do lots of road trip type driving.
That’s how Musk works. He waves his hands and uses words like “orders of magnitude” and “first principles” and then you end up with 250-meter long tunnels under your city with Teslas driving back and forth in it and fanboys forget this thing called subways ever existed.
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