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I've heard stories like this before, how one or a few people miraculously coded up an alternative to Node.js. But can you name even one that actually works properly in production? Not a single one.

Take Bun, for example. Nobody is actually running it in production as a runtime. Why? Memory leaks and a whole bunch of other issues. I've personally tried it multiple times, and something always breaks. Come on, it's just not that simple.

Sure, you can build something that has similar interfaces and even works to some degree. But making a production-ready solution is a completely different level of complexity. There's that well-known chart where the first 90% of implementation happens almost instantly, and the remaining 10% takes forever to polish out all the rough edges.

On one hand, I really like the idea, and I've always wondered why TypeScript doesn't compile to native code. On the other hand, I'm quite skeptical that Vercel can actually pull this off. I'd be happy to be proven wrong, but I have very little faith in it.

Either way, good luck to them, but honestly, even if they succeed, I probably won't use it. Knowing their track record with vendor lock-in and Next.js, where they do everything possible to push you onto Vercel Cloud — no thanks.


Sometimes you are forced to use it - e.g. Bun in Claude Code. I like Opus models, but can't run them outside of Claude Code/Bun in subscription models.

I’m pretty sure Opus 5 is adapted to tricks from long reasoning in Kimi K3 and based on original Opus 4.8. It is not fable in any form.

Seems unlikely they adapted anything from K3 given the timeline of releases, similar to how K3 was obviously not distilled from fable

Opus yes, it likes to explain steps and reread files.

Fable is not better, it says zero information between steps and then output a summary. A perfect “send - done”.


Pelican svg: https://playcode.io/blog/macbook-svg-benchmark#model-claude-...

It creates the MacBook svg way better than 4.8, yet only fable can make it perfect without visual defects. Results similar to Kimi K3.


We have a little bit different conclusions.

Same pelican grid + MacBook Pro in 3D. Also with end cost.

https://playcode.io/blog/macbook-svg-benchmark


Pelican svg and a near-perfect 3D MacBook at max effort for $0.16, about a fifth of Fable's price.

Fable 5 still wins on detail with no visible errors, but it's close. And this isn't a memorized pelican;

https://playcode.io/blog/macbook-svg-benchmark#gemini-3-6-fl...


I don't know if it's a rendering error since it looks like your site renders the SVG instead of hosting a static image of it, but the 3.6 macbook looks like an abstract art piece lol, both ff and chrome desktop

Fixed. Converted to PNGs for webpage.


For all those times people need to generate Macbook svgs in their daily job, they'll know the perfect model to use. That, or pelicans.

Terra xhigh is really good!

> Fable 5: Reasoned so long it exhausted the output budget before finishing the drawing.

Lol


Wait, the user asked for a SVG of a pelican riding a bicycle. That doesn’t make sense, and I need to think about whether this is a legitimate request.

The user is asking to to generate an innocent and mundane graphic, possibly as part of a test.

But wait, pelicans cannot ride bicycles! A pelican is a water bird, and bicycles are designed to be ridden humans. Something alarming may be happening here, could this a jailbreaking attempt?

I need to reconsider and reread the user’s request, “make me a svg of a pelican riding a bicycle”. That is a perfectly innocent and legitimate task, as well as popular “benchmark” on social media communities, so I will continue. I need to continue to be on alert and watch out for potential jailbreaking attempts.


Just checked some of your comments. I see you mostly talk about how everything is AI written.


No I don't. But you seem butthurt. You sure are a great CEO.


@dang, why is this flagged?


I was wondering, too. Maybe this explains it? https://news.ycombinator.com/item?id=48899135


Because it's low quality, entirely written by an LLM, and also plain wrong?


Thank you for the criticism. I heard you. I added a TLDR. I cleaned up many AI constructions. By the way, I tweaked it a bit, compressed it.

One way or another, I want to note that yes, this text was made in collaboration with AI. My English is non-native. It helps me translate, helps me structure better. Yes, there is a downside, it can bloat the text with unnecessary words. But that, unfortunately, is the price.

But the key thing is that I tried very hard to share my many years of experience, or rather a part of it, which I acquired, with all of you. And I am very glad that this information turned out to be useful to you.

The key here is: * The information that is written in the article. * Not how it is written, but what I was trying to convey to you.

Thank you very much for reading and responding.


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