chrsw

5 ms·

1.
by chrsw 5d ago
I don’t think that’s what’s going on. I notice flaws on day one of model releases. But I also notice improvements if the model is truly more advanced than what I’m used to. Then over time the same questions or tasks return worse results. Wh
2.
by chrsw 9d ago
600 sq ft is about the size of my apartment, which at market rate is about $3k/mo.
3.
by chrsw 12d ago
Interesting approach. I would like to see a benchmark like this without web or mobile app code. In fact just: systems code (operating systems, drivers, low level applications), libraries, native apps, firmware, robotics software, signal pro
4.
by chrsw 12d ago
That says more about the dire state of the industry than Apple’s own engineering preferences and their brand optics.
5.
by chrsw 22d ago
I agree we’d switch to it. I guess what I’m doubting is if a company can recover from that sort of stumble in the first place. And they might not want to either. They might think there’s more value somewhere else besides trying to get back
6.
by chrsw 23d ago
I can call a coworker right now and have a real time conversation with them without feeling like I’m talking to a frustrating machine. Most of them, anyway. But I guess that’s “moving the goalposts”.
7.
by chrsw 24d ago
Do labs come back from disasters like GDM’s 3.5 pretrain? I am thinking of Meta’s Llama 4. Meta is just now starting to be taken seriously again but they are definitely not at the frontier. And when I say “come back” I mean have an Opus 4.5
8.
by chrsw 1mo ago
Where I’m from $25k is the down payment on a parking space in a garage, not an entire house (or condo).
9.
Mold: A Parallel Linker(arxiv.org)
4 points by chrsw 1mo ago|0 comments
10.
by chrsw 1mo ago
Only the Chinese authorities can stop Chinese labs from distilling from western labs. And they won’t do that, for obvious reasons.
11.
by chrsw 1mo ago
At some point it won’t be realistic to ask a human to solve a technical problem any more. I’m not suggesting it will happen soon but I can at least imagine that day coming. Whereas before modern “AI”, that possibility wasn’t even on my rada
12.
by chrsw 1mo ago
We didn’t replicate the human brain. We built systems that can statistically approximate some of what the human brain might output in certain limited situations.
13.
by chrsw 2mo ago
We did this with manufacturing and industrial build outs over the last 4 decades or so. It worked out very well for capital, not well for labor. One could make the argument we can do the same for AI. Let China build the models and we captur
14.
by chrsw 2mo ago
Most of the people that do this don’t have the basic human decency to start with a clear message like “All or some of this content is AI generated.” If you say that, and I stay engaged with your content, that’s on me. But if I keep reading,
15.
by chrsw 2mo ago
Huh, interesting. I tried to generate a 10 second 1080p clip on a bigger machine and the results were quite poor. Unusable for anything, in fact.
16.
Nvidia's CUDA Faces New Threats from AI Coding Agents(businessinsider.com)
4 points by chrsw 2mo ago|0 comments
17.
by chrsw 2mo ago
I think that will remain the use case of these tools as long as it is still so easy to tell they don't represent reality very well. Maybe that's a good thing, maybe we're not ready for a world where any video longer than a br
18.
by chrsw 2mo ago
The Microchip PIC32MZ MCU has an MMU as well. But not with wireless options in a 8x8 QFN80 package like this ESP32-S31. That's pretty small. No flash though.
19.
by chrsw 2mo ago
It will take a while before humanoids become useful. You can speed it up with extreme amounts of investment but it still wouldn’t be soon.
20.
by chrsw 2mo ago
Re: shooting them down, I think there are a lot of people out there that consider the US a bigger threat than China. Maybe they're right, I don't know. But I do know that as an American, I'm not looking forward to finding out
21.
by chrsw 2mo ago
Something beyond my imagination
22.
by chrsw 2mo ago
Then there’s the questions of token efficiency and token quality.
23.
by chrsw 2mo ago
Even Meta, with all their resources, makes all their hardware in China. Manufacturing anywhere else is just burning cash.
24.
by chrsw 2mo ago
You can make the same argument for closed models. Why spend hundreds of billions training larger and larger models when you can just use Chinese models? Spend that money somewhere else further up the stack where there’s more value. Let Chin
25.
by chrsw 2mo ago
AI diffusion will be slow not because the models aren’t good enough, but because everything else will have to adapt. ChatGPT was released 3 and a half years ago. I work with people whose jobs haven’t changed at all.
26.
by chrsw 2mo ago
This has been my experience has well. For code generation, you have to really constrain these LLMs on your coding style, design goals, test cases, and overall expectations. I mainly use these tools to help my understanding of the code and t
27.
by chrsw 2mo ago
The biggest impact of AI at my job are LLM code generators for software engineers. That's only scratching the surface of what AI can do for enterprises. My company doesn't yet have the orientation, inclination or technical experti
28.
George Hotz talk at AMD Advancing AI 2026 [video](youtube.com)
5 points by chrsw 2mo ago|0 comments
29.
by chrsw 2mo ago
China will accelerate on ML research and optimization regardless of US export control policy. They want to win or at least not lose just as much as the US and will pull every reasonable lever at their disposal to do so. NVIDIA and the US go
30.
by chrsw 2mo ago
Google can't compete with China, neither can Meta. Only two labs in the US can keep chucking billions at the frontier race. Everyone else has a real business to run. China can keep up because it's cheaper to run a frontier lab the

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