Lately I’ve been working on integrating several AI applications, which means I need to switch between different models. That’s when I discovered a problem — the APIs of OpenAI and Anthropic are incompatible.

Lately I’ve been working on integrating several AI applications, which means I need to switch between different models. That’s when I discovered a problem — the APIs of OpenAI and Anthropic are incompatible.

Recently, I chatted with friends about the devices we each want to buy, and we all shared the same feeling — everything is getting more expensive. Game consoles, graphics cards, RAM, SSDs, even laptops that used to be relatively affordable — the prices now are enough to make anyone hesitate.
Yesterday I got an email from LeanCloud saying they’re shutting down service…. Wait, what?
I had been thinking that when my blog’s total page views hit 50,000 again, I’d write a celebratory post. Little did I expect that the clicks would grow much faster than I imagined — before I could even finish drafting the celebration, the number had already blown past it.
I’ve been living at MoFang Apartment for almost three years. What I got wasn’t a renewal notice — it was news that the company’s funding chain had snapped and they were on the verge of bankruptcy.
I recently got a Mac Mini to use as a server. I initially thought that since macOS is based on Unix, it would be pretty much like Linux — just set it up and go. But once I actually started using it, I ran into quite a few pitfalls. Here’s a record of the main issues.
To do some small-scale model training at work, I eventually recommended buying a Mac Mini. The reasoning wasn’t complicated: I needed it for bioinformatics analysis, running agent deployments, and occasionally training models with modest parameter counts — these scenarios are exactly where M-series chips with unified memory shine. The cost of separate RAM plus a large-VRAM GPU far exceeds the Mac platform; do the math and the choice is clear.
And just like that, I unlocked the achievement of pushing forward multiple devices, multiple platforms, and multiple projects all at once.

Following up on the previous post [From Fydetab Duo to HP Chromebook X11], I have been using the HP Chromebook X11 for a while. The overall experience is quite good, but I encountered two annoying bugs. Here I record the solutions.
It’s been barely a month since I wrote [The Perplexity of Modern Laptop and Tablet Choices], and here I am again.
That’s right — the same person who confidently declared “I’ll stick with the Fydetab Duo for now” at the end of that article is now sitting in front of an HP Chromebook X11 typing these words.
The essence of human nature is “it smells so good” (after swearing off something). My essence is tinkering.

Good news — the new company also provides laptops, and I got a Lenovo Xiaoxin 14 Pro with 32GB of RAM, the best-spec work computer I’ve had in 8 years.
The bad news is it has a glossy screen, and the office lights are so bright that the glare hurts my eyes. Luckily I also got a monitor, so I just use the external display (too bad the OLED has better colors…).
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