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dkersten

11,859 karmajoined hace 18 años
Email: hn AT kersten DOT me

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dkersten
·hace 6 días·discuss
I love Mantine. It’s easy to use, full featured with lots of components and helpers, and yet if you need to, you can use it headless and customise it too (I’ve never bothered though; I did add my own additional spacing/sizing options via the theme support though)
dkersten
·hace 10 días·discuss
Many vendors and service providers have SLA’s and contracts, at least for the critical services.
dkersten
·hace 10 días·discuss
Sure but that adds a lot of complexity and cost to your business. It’s much simpler and safer to just work with more reliable vendors to begin with. Why build on quicksand when there’s rock available?
dkersten
·hace 10 días·discuss
altmanaltman is correct, I was talking about vendors. If you rely on a vendors service for your own business, you want it to be consistent. How can you plan around and rely on something that is inconsistent?

Your vendors plans to grow fast and break things shouldn’t affect your ability to provide your service to your customers.

Anthropic has not been a reliable vendor. Previously, when they were compute starved, the quality of their models degraded in the weeks before new releases, without warning to their customers. You just suddenly got a worse service. I wrote a little more a few months ago: https://news.ycombinator.com/item?id=47375818 And then there’s the transparent downgrading they did with Fable.

If your running a business, that’s not what you want to be relying on.
dkersten
·hace 10 días·discuss
I honestly find it crazy how many people trust them for their business needs. For a business, you want consistency and no surprises. With them you get exactly the opposite.
dkersten
·hace 12 días·discuss
I like to start out by creating the overall structure of my application: the module structure, high level components, feature boundaries. That way these decisions are already made for the LLM, and it can focus on filling in logic within the structure provided.

It works quite well for me, a lot better than when the LLM makes these decisions.
dkersten
·hace 18 días·discuss
And AI tried telling me that Uber for Dogs (dogs are the drivers) was a terrible idea…
dkersten
·hace 19 días·discuss
Its on other providers, like Together.ai
dkersten
·hace 23 días·discuss
> This is not scientific at all, just vibes, YMMV.

This is the problem.

I would love to have a product sheet showing what each models strengths an weaknesses are, so that I can have a clear decision tree of "if this kind of work, use model X", or "model Y should be used in ways Z". But they all look the same from the outside and the only way to figure out which might be marginally better at what is to do extensive, time consuming, and perhaps expensive testing.
dkersten
·hace 26 días·discuss
Is that true though? From Cherno’s videos it sounded like it was basically the hazel engine, repurposed. So unless he rewrote hazel, purposely for robotics, it’s still not actually the case?
dkersten
·hace 26 días·discuss
Haven’t Unreal engine and Unity been used for robotics for over a decade?

Hasn’t the Bullet physics engine been used for robotics for over a decade?

I don’t understand this “first game engine for robotics” messaging.

As an aside, this website crashes for me on safari on iOS.
dkersten
·hace 27 días·discuss
They did, I had something like $50 in FTX and I got it back. I don’t remember when, I think it was about a year ago.
dkersten
·el mes pasado·discuss
Why am I not surprised that its a YC startup? Lately, being a YC startup seems to have become a negative signal for me, far too many grifters are getting funded by YC, it seems.
dkersten
·el mes pasado·discuss
> That presumes models are only useful if they are one-shot models

That’s not at all what I’m saying.

I’m saying that in my experience across multiple models, the follow up prompts don’t fix prior underlying issues. They usually patch on top instead, unless you give them significant and time consuming guidance.

I want them to be more useful outside of one-shot uses, but I find that they currently miss the mark.
dkersten
·el mes pasado·discuss
I haven’t used Fable/Mythos yet, but my experience with recent version of Opus, GPT 5.5 and recent Chinese models is that promoting again isn’t guaranteed to fix the underlying issues, nor is it guaranteed to not introduce more issues. I’ve seen SOTA models make ridiculously stupid architectural decisions that they were then unable to back out of without being prompted very specifically, instead adding a patchwork of “fixes” on top.

I’m not saying that you can’t use AI to do it because I believe that with carefully controlled workflows and context management you can, but it’s not a simple prompt away, it’s requires guidance and understanding, and isn’t the speed demon that raw prompting is.
dkersten
·el mes pasado·discuss
That’s the one.

The speed is incredible and fun to see, but the model is rather weak to the point where I’m not sure it’s particularly useful for most people.
dkersten
·el mes pasado·discuss
> You've gone too fast, too much is vague, nothing is clear.

Contrast to when Clojure was released: Rich Hickey had spent years thinking about, researching, and refining the concepts. It was easy to understand what the language is. And it shows in the design quality as even now, almost two decades later, the language has changed surprisingly little and is still really good.
dkersten
·el mes pasado·discuss
I’ve been playing around with groq and GPT OSS which they run at 1000 TPS (20B) or 800 TPS (120B) and the speed feels quite magical.

I haven’t tried cerebras’ 3000 TPS yet but I did try the demo of that 15,000 TPS model whose name escapes me right now.

I’m not sure if it makes a meaningful difference for my actual work, but it sure is amazing to watch it generate a screen full of text in the blink of an eye.

I do think it’s super useful for rubbing little validation checks like showing it a diff to ensure that the changes are on task, and being able to do those quicker really helps because it means you can do many focused checks without them getting in the way.
dkersten
·el mes pasado·discuss
I tried to play it about two months ago and it pops up a notice and quits. I found on Reddit that the notice is “we are Rory, but servers for this title have been shut down. Thank you very much for playing” which is roughly like what I remember.

According to Wikipedia: “in December 2023, all servers for mirrors edge catalyst were shut down by EA” but that only says online content was disabled.

It’s possible that the game is only unplayable on PlayStation, but still playable (without online features) on PC. But it does seem to still be listed in stores (steam and PlayStation) so I’m not sure exactly what’s going on. I’d have to redownload it to test it again.
dkersten
·el mes pasado·discuss
Then they should not be allowed to use words like “buy” in the online stores.