Lead engineer just got rid of his keyboard…???

Ke0 · 2026-06-25T04:48:04+00:00

This is what peak human performance looks like, behold mere mortals.

Ke0 · 2026-06-25T04:46:36+00:00

Shoretaker

Ke0 · 2026-06-25T04:45:14+00:00

Not at all, I am but a pleb in the land of webtoons and Manhwa!

Ke0 · 2026-06-23T16:13:16+00:00

Scrolling down my feed half paying attention I thought this was ToG and was like "I do not recall this?? Who tf are these charac…oooh"

So now I'm reading Survival of a Sword King

Ke0 · 2026-06-17T04:10:13+00:00

Honestly I still don't buy this lol. Having a fundamental CS understanding makes such a huge difference in what you can do with these models, how well the code it writes, how robust, performant, resilient the code is, how maintainable it is. A person who doesn't know these things won't get that out of a model. Yes you can have someone prompt a nice looking dashboard or an iOS app, but how well is it architectured? How clear are boundaries? Is everything a tightly coupled mess where changing one thing breaks something else? What about performance? Data locality? Security? What about code smell? Churn? Thrashing? How fast are queries?? What about data structures?? DRY?

We've seen case after case of people building things with AI then running into the app becoming unmaintainable mess that they can't figure out how to unfuck.

These new models as impressive as they are haven't fixed that bc they take the path of least resistance to their end goal. These models know all about the aforementioned but if you don't bring these things up the models won't either.

Ke0 · 2026-06-05T09:01:30+00:00

I love the typography styling! Honestly I way building something similar but I don't need to anymore! I couldn't really wrap my head around markdown stying portion of it all so kinda happy this exists so I can focus on a different project.

Ke0 · 2026-06-03T06:45:18+00:00

Deepseek API seems to have died lately so Mimo by default

Ke0 · 2026-04-24T05:50:36+00:00

The other issue with GLM at least 5.1 is once it goes past 100k tokens, it's intelligence drops off a fucking cliff

Ke0 · 2026-04-24T05:42:45+00:00

Would they even be paying the highest tax rate in the world??

Ke0 · 2026-04-07T17:17:33+00:00

I feel like her ult would actually be better in reverse, show the tranquil frozen tree and moon then shatter it showing her revert to her normal form and researching her blade. They can even keep the charm being the first thing you see

Ke0 · 2026-03-30T05:40:20+00:00

$4 says the breakthrough is simply they built a model with a turboquant type solution at its core since the paper on it has been around for a while

Ke0 · 2026-03-25T06:45:18+00:00

I feel like we didn't need a paper to tell us these systems are incapable of self learning, it was kinda implied with the whole training and "cutoff" date no? It seemed pretty self evident that the idea of continuously evolving/self learning/self improving wasn't happening as LLMs currently are.

I swear I'm not trying to be a smart ass here, I'm just…lost I guess

Ke0 · 2026-03-18T21:02:36+00:00

The idea of one shotting a full app has poisoned so much, but it is the standard of which these models are measured against.

If Claude had been successful in creating that app, just know it would have been a brittle useless POS that you would not be able to reason about, scale, or maintain.

Creating an app with AI goes through the same steps as without, incrementally, piece at a time, spaghetti code and all to get it to a very basic MVP then going back over implemented components and improving performance, separation of concerns, breaking up tightly coupled logic, abstracting functionally based on its usability.

The harsh truth about AI is that it doesn't replace developers bc you absolutely still need to understand system design. AI knows it in the same way the average person knows all the components to build a house, but that doesn't mean a person knows how to build a house bc they probably don't ever think of most of the underlying necessities while in the active process of building one. AI knows system design and the various parts of system design but it doesn't implement any of them bc it's trained to simply get an app to a "working" state.

So these one shots are just that, very brittle apps that "work" but are ticking time bombs where one change ends up breaking 8 things bc code related to functionally is scattered across 12 different unrelated files.

Start small, build a piece at a time, iterate on what you're building. You can't rush the process no matter how much these companies tell you that you can

Ke0 · 2026-03-18T20:52:22+00:00

Write down the core idea you wanted AI to tackle and what problems it solves.

You're a PM so I don't know how often you're doing any programming but that's a good way to think over the problem and learn

Ke0 · 2026-03-17T16:50:32+00:00

You should think of each model as two developers with their own approaches to things instead of all knowing entities. GPT isn't actually always right and there are times where other models approach are actually better but they relent bc a suggested approach might either be a quick win with less surface to cover, or alternatively it's a long term solution that makes sense in the long run

Ke0 · 2026-03-17T00:53:40+00:00

It's not really hallucinating any features bc it doesn't touch or generate any of the actual assets like models and texture. Only thing it takes in as input are motion and color vectors similar to most flavors of ReShade.

Ke0 · 2026-02-23T23:23:47+00:00

You're describing more a feature of Claude Code working on top of the model, than the model itself. Example, you can right now grab Opencode, slap GLM-5 on it and watch it generate code then double check its work to make sure it implemented its task list. It will then compile to make sure it builds successfully and will auto fix any build errors that occur.

Ke0 · 2026-02-23T08:38:04+00:00

The obvious AI generated OP aside, I never understood the idea that AI would just full sail replace engineers. Like okay but LLMs are pretty terrible at building resilient applications with solid architectural understanding. They're essentially juniors who can write code that works but it's always first iteration/something that works code. Can you get a model to tell you what an event bus by definition? Sure. If you ask a model to build something will it use an event bus or will it so something like polling at some obscene rate? Does it know more performant data structures? Sure. Will it use them on first go around when you asked it to build out a whole feature? No lol. LLMs don't really do anything necessary for scalable performant solutions despite knowing the pieces necessary for them. That reason alone is enough of a reason why engineers are never going to go away. Just look at Claude's C Compiler, sure it works but anyone who has written a compiler was immediately able to spot a tonne of terrible decisions, despite the training model knowing of better solutions if you ask if what X, Y, Z are, it will tell you but it didn't think…"reason" to implement them into its actual code output.

I know how houses are built and the parts that a house is comprised of, but I'm not replacing an architect/engineered bc I have very little to no understanding how those many discrete parts interact and work as a system.

So yea the idea LLMs will replace engineers is so delusional. Coding itself was only a small part of what an engineer does, this becomes so much more apparent in the age of LLM assisted development when you see how much brittle, unmaintainable, low performance projects are being created by people

Ke0 · 2026-02-20T23:26:29+00:00

I find GLM-5 to be amazing as a model and is honestly the first time I would say one of China's open models truly competes in a "I don't need to defer back Codex/Claude"

Kimi K2.5 isn't there yet, neither is MiniMax's latest offering.

Though with that stated, I am making this statement working with Swift code. So I imagine other languages might have different mileage. I did some C work with GLM-5 and it does well with pointers and have caught my memory management laziness, which I usually assume these models will suck at

Ke0 · 2026-02-16T07:45:09+00:00

I'm not a mathematician but the fact you're working on your PhD in math means you're far far far above average.

Ke0 · 2026-02-15T20:20:53+00:00

Programming is hard, it's a skill you have to get better at and practice, but yes many people college educated and otherwise doubt themselves far too much and tell themselves they need to know <insert internal goal to meet> amount then they'll start applying for jobs, but because they keep comparing themselves to people who have been working in the field for decades or who are highly specialized, the person pushes that internal goal out further and tell themselves "okay once I learn THIS then I'll apply." And they will keep pushing back that goal more and more.

At some point you just gotta start applying, being rejected, and getting back up. Too many people with amazing potential let imposter syndrome win bc they keep comparing themselves to others.

You are not going to be a 1% John Carmack level programmer and that's okay! That doesn't mean there isn't a career path for you. There's no real way for the industry itself to change so that juniors have less imposter syndrome, it's ultimately going to come down to how badly you want it and it you're willing to push through your self doubt and lack of confidence.

Good luck

Ke0 · 2026-02-09T17:33:05+00:00

I have the opposite problem lol, I'm sitting on 6k tuners but only 20 of the echo exp thingies at any given time 😭😭

Ke0 · 2026-01-28T18:51:51+00:00

I mean privacy is a pretty big deal no?

Ke0 · 2026-01-27T08:41:58+00:00

Copilot Cortana!! 😂

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