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m_w_

107 karmajoined 10 माह पहले
https://www.mwaterman.dev/

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m_w_
·3 घंटे पहले·discuss
Yes - this is certainly true. I would have to concede that I could not speak to how my thesis would map onto a truly colossal codebase.

That said - I would (again, maybe naively) suppose it's not hugely different - much of the work I do occurs in code where many people have and will work on it, and where the size of the codebase dwarfs model context windows.

In that case, I feel the same - current frontier models, when properly oriented to a task, with some assist on the big-picture thinking - are more than capable of generating good code that can slot into big codebases with many moving pieces. Of course, I'd have to point to other people's work to defend this, but I think that's still pretty reasonable especially against the declared "LLMs are worse than useless for generating code".
m_w_
·3 घंटे पहले·discuss
Obviously I'm just one guy, but I maintain what I said w/ typing happily at 120+wpm. I think I could break 150 if I switched to colemak or dvorak, which I've been considering.

I don't think my job was ever to type fast, nor do I make any claim that I'm ontologically better than someone writing code by hand - but for what I need to do, I'm way faster now.

You might think he's an AI shill, but I was pretty compelled by simonw's post and idea - "your job is to deliver code that works" [1]. I think I can deliver more code that I can prove to work, faster now. The productivity is nice, but as I've said on other parts of the thread, it's also just fun to spend more time thinking, less time hitting the semicolon on my keyboard?

[1]: https://simonwillison.net/2025/Dec/18/code-proven-to-work/

Edit: should have used [1] in the first place instead of an asterisk.
m_w_
·4 घंटे पहले·discuss
Yes - I think that's fair. I'm happy to concede the term coding - I still enjoy the process of telling my computer to build something I've envisioned. It's now much faster, and I get to do more of the big-picture thinking and ideation, which I thoroughly enjoy.
m_w_
·4 घंटे पहले·discuss
I guess I'm of two minds on it.

Sometimes, I will review every line, test the front-end in a staging environment, verify the backend contract, et cetera. Over time, though, I realized that many of these reviews just didn't result in any necessary changes. The current model (with guidance/claude.md/etc) was able to one-shot the task.

Not to overly personify, but imagine how you might treat a junior colleague. You start by reviewing everything they do with a microscope, later you review the broad-strokes, and eventually, for low-stakes or well-scoped tasks, you just play with the demo and the ticket and approve it.

Otherwise it's not materially different than a pre-AI world - you've got sample I/O, test cases, hand-review, look at the application on different screen sizes, contrive some edge cases, test against a spec if there is one - et cetera.
m_w_
·4 घंटे पहले·discuss
I love coding and I always have - arguably moreso now, if you can still call it coding.

For me, it is not about the syntax nor the mechanics of typing though. My enjoyment comes from thinking about problems and breaking them down, or thinking about what architecture would best serve them. I guess I'm meant to be a systems design guy, so I'm lucky that AI-coding fits this well (AI models have limited context windows, relative to the size of codebases, so doing the big picture thinking is still important, and fun for me).
m_w_
·4 घंटे पहले·discuss
Generally end-user applications, depending on how you classify internal tools. I'm generally very happy with the output of Opus 4.X with a moderately structured CLAUDE.md and some investment in detection/avoidance of anti-patterns (Next.js+ts). I imagine that the bitter lesson is true here, and these heuristic guidelines will become increasingly unnecessary w/ smarter models.

Library-type work has mostly been side/toy projects, although fwiw, with a standard/spec on hand (CommonMark for example), I'm also happy w/ the output. It's often possible to "close the loop" and have the coding agent autonomously iterate until the standard is adhered to.
m_w_
·4 घंटे पहले·discuss
I can only imagine that people who say things like:

> If you use AI for anything else, and in particularly if you use it to generate code, you're wasting your time.

Have not used frontier models in at least a year.

It is nearly inconceivable to me that I would ever go back to writing code by hand, in any context. Even if no new model was ever released, the combination of GLM 5.2 and DeepSeek V4 flash is more than sufficient to do real work. It's not hard to imagine that a distillation of Mythos/5.6S or whatever is a couple generations away will push me even further in this direction.
m_w_
·6 घंटे पहले·discuss
+1 for the claude icon fire bars
m_w_
·11 घंटे पहले·discuss
I would add a +1 for testing w/ Word - the official Office suite runs some validation where only Word will show a "broken file" popup, even when nothing else does.

In our case, clients use only real Word, so any machine-generated/mutated files (excel/ppt as well) need a pass through the real office executable.
m_w_
·4 दिन पहले·discuss
Interesting - I'll be sure to benchmark it at some point. We've found the best results come from blending providers depending on the task anyways.

Thanks for the quick response - and always happy to see more competition in the space. Best of luck with future features!
m_w_
·4 दिन पहले·discuss
Unclear what difference exists against Firecrawl - their team has been shipping great features extremely quickly lately, and their core offerings have become really good.

I am interested in KnifeGeek though - looking for a good OTF (ultratech?)
m_w_
·13 दिन पहले·discuss
Nor more than a mention of Query Hints, which had some interesting discussion under a similarly-titled submission.

https://news.ycombinator.com/item?id=48413655
m_w_
·17 दिन पहले·discuss
This seems to be a worse version of another submission [0] I saw a while back - binary octets are easy for anyone who can copy paste; image attributes like edge pressure and stable contour mean basically nothing to me.

[0]: https://news.ycombinator.com/item?id=48357169
m_w_
·25 दिन पहले·discuss
No one takes g2 and product hunt seriously right?
m_w_
·पिछला माह·discuss
I think Mythos is rumored to be ~10T parameters, so in this case I think the answer is yes, although I'm sure MoE, looped models, etc play a role in the improvements as well.
m_w_
·पिछला माह·discuss
> AlphaEvolve’s procedure found an algorithm to multiply 4x4 complex-valued matrices using 48 scalar multiplications, improving upon Strassen’s 1969 algorithm that was previously known as the best in this setting. This finding demonstrates a significant advance over our previous work, AlphaTensor, which specialized in matrix multiplication algorithms, and for 4x4 matrices, only found improvements for binary arithmetic.

> And in 20% of cases, AlphaEvolve improved the previously best known solutions, making progress on the corresponding open problems.

https://deepmind.google/blog/alphaevolve-a-gemini-powered-co...
m_w_
·पिछला माह·discuss
[flagged]
m_w_
·पिछला माह·discuss
Very cool concept, although I think the leaderboard is more about network latency than anything else...
m_w_
·2 माह पहले·discuss
Although I'm anti AI-image-gen (wouldn't there be CC0 images of these species?) this is really quite a charming little project.

I feel like I don't hear many bird calls in the city where I live, but maybe I'll have to set one up for myself to find out!
m_w_
·2 माह पहले·discuss
Not all the inputs, but Ben Felix’s company (makes videos on this topic) has a rent vs buy calculator, mainly focused on investing the cost difference for mortgage vs renting: https://research-tools.pwlcapital.com/research/rent-vs-buy