docheinestages

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31.
by docheinestages 2mo ago
Can we get a tool that does the opposite for the readers?
32.
by docheinestages 2mo ago
I think one of the best use cases of AI is as a natural language interface to programming. The syntax of a programming language is an opinionated part of its design that often adds to the complexity of learning the language.
33.
by docheinestages 2mo ago
I watched the intro video and all I saw were numbers in an Excel sheet. That doesn't make this fun. I'd rather have AI ELI5 it to me.
34.
by docheinestages 2mo ago
Anthropic should build a harness (and model) that smartly takes care of all these points. Not requiring the user to do the manual work. All I see are excuses because they cannot handle the load and enforce strict quotas on users, all while
35.
by docheinestages 2mo ago
Are the benchmarks comparing just the models while keeping the harness the same (the open-source Toast harness)?
36.
by docheinestages 2mo ago
My uses cases are mainly research and prototyping, often starting from scratch in greenfield projects. The 5-hour quota is shared between Claude web and Claude Code, so it doesn't really matter what interface I use. When it comes to r
37.
by docheinestages 2mo ago
Claude has essentially become useless for agentic development or research. Doesn't matter what model you use. A few rounds and bam, you've burned through your quota. Doesn't matter how "intelligent" their models are
38.
by docheinestages 2mo ago
YCombinator's investments are unfortunately very questionable nowadays.
39.
by docheinestages 2mo ago
Your landing page is very hard to read. The font size is literally 10px for some content, while animations distract the reader. Dear YC, please force the startups to dedicate some of the 500k funding for standard web design.
40.
by docheinestages 2mo ago
They conveniently decided not to include the Qwen range of models in the Artificial Analysis graph, except the out-of-league Max variant. At least be brave and honest.
41.
by docheinestages 2mo ago
I'm interested to learn from the prompts you used to generate the images and texts. Perhaps a skill you could share to generate such content?
42.
by docheinestages 2mo ago
Sounds like a side-effect of being VC-backed. Like what the ex GitHub CEO went on to build (Entire). Unnecessary.
43.
by docheinestages 3mo ago
Suggestion: showing an actual screenshot or video of your app is a much better indicator of effort than a generic Claude made animation. I've seen AI slop landing pages on far too many YC-backed startups. Not saying yours is one, but p
44.
by docheinestages 3mo ago
If you can afford it, why not. For certain phases of projects like a proof-of-concept, you need to move fast and validate several ideas. Once it's locked down, rewrite from scratch, and here, if you can afford it, type or write the cod
45.
by docheinestages 3mo ago
Exactly this.
46.
by docheinestages 3mo ago
Dear Steve, I hope you will realize that using swarms of agents and burning millions of tokens is not the way to go. It only produces slop, thousands of lines of code, and walls of text, just like your blog post. Less is more.
47.
by docheinestages 3mo ago
It was a matter of time for China to catch up with the US. In terms of infrastructure, manufacturing, and engineering workforce, China has the upperhand and I foresee them becoming the SOTA leaders. Maybe if the US wasn't so busy gatek
48.
by docheinestages 3mo ago
They should at least give the scanned copies to a non-profit or government entity to preserve and release them when the copyright expires.
49.
by docheinestages 3mo ago
A video would've been nice to walk through how it's actually used. I don't mean just a walkthrough after a fresh install, but an instance that's actively used.
50.
by docheinestages 3mo ago
Another wakeup call to realize how desperately we need on-device LLMs to be fast and smart for daily use. Thankfully, every month there's progress made in that direction. Just imagine how your life as a developer would be if you had to
51.
by docheinestages 3mo ago
Is there a pipeline or approach to do this to any model? I'm particularly interested in Qwen 3.6 27B as it's the best for its size at the moment.
52.
by docheinestages 3mo ago
The main issue is the amount of information I have to go through to understand what I'm looking at. It's one of the side effects of writing with AI. Because it sees all tokens at once, it doesn't realize a reader might have n
53.
by docheinestages 3mo ago
Hopefully the app itself won't look AI-generated like the design of the website. This one isn't so bad, but has hallmarks of Claude designs. Nowadays I keep getting shocked to find severely sloppy designs when browsing through Y C
54.
by docheinestages 3mo ago
> I wrote the whole thing down here I like the idea, but it looks really hard to read. Try reading it top to bottom without skipping.
55.
by docheinestages 3mo ago
This is probably one of the ways to achieve this. I see a plethora of such fine-tunes on HuggingFace [1], but they're either not much different than the base model or they're outright benchmaxxing. [1] https://huggingfa
56.
by docheinestages 3mo ago
Labs are focusing on creating models, small or large, that perform well on various benchmarks, including general knowledge, domain-specific expertise, and agentic capabilities. Asking for such a model while wanting to be small and fast woul
57.
by docheinestages 3mo ago
Given the frontier-level capabilities of Kimi K3, I'm wondering if it's possible to extract the core capabilities (fundamental reasoning and tool calling) of the model into a smaller one that consumer devices could run? Not sure e
58.
by docheinestages 3mo ago
> people who will have the technical know-how to facilitate custom CSS I think anyone with access to an LLM doesn't necessarily need the technical know-how. They can just ask as an extra step for a design check including text contra
59.
by docheinestages 3mo ago
True, maybe we can call the generated SVG something else than art.
60.
by docheinestages 3mo ago
I think a more fundamental test is SVG art creation in general. Perhaps a pipeline to take any image, caption it, ask the LLM for an SVG, rasterize to an image, and finally either use a deterministic visual similarity check or ask another L

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