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diwank
searching PlanetScale…
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7 ms
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61.
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diwank
1y ago
Exactly! > It uses two interdependent recurrent modules: a *high-level module* for abstract, slow planning and a *low-level module* for rapid, detailed computations. This structure enables HRM to achieve significant computational depth w
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Tap into the "Hemingway effect" to finish what you start
(bigthinkmedia.substack.com)
27 points
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diwank
1y ago
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3 comments
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Bluefin: Linux Workstation OS
(projectbluefin.io)
2 points
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diwank
1y ago
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0 comments
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The Accidental Art of Writing Shit That Matters
(diwank.space)
2 points
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diwank
1y ago
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0 comments
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Show HN: SteadyText: Deterministic LLMs: Same input → same output, every time
(steadytext.julep.ai)
6 points
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diwank
1y ago
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0 comments
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The Accidental Art of Writing Shit That Matters
(diwank.space)
1 points
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diwank
1y ago
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0 comments
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An early preview of model capabilities – Generalist [video]
(youtube.com)
2 points
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diwank
1y ago
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0 comments
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The inaugural Llama Startup Program cohort
(ai.meta.com)
1 points
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diwank
1y ago
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0 comments
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S-Curves and the Bitter Lesson: The Coming AI Plateau
(diwank.space)
2 points
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diwank
1y ago
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0 comments
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diwank
1y ago
I'd recommend considering applying to the Thiel Fellowship. https://thielfellowship.org/faq
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AGI: Levels of Intelligence
(diwank.space)
1 points
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diwank
1y ago
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72.
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diwank
1y ago
Compressed it. Thanks for letting me know :)
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diwank
1y ago
In my experience, you’ll run out of Opus usage credits way too quickly on the Pro plan
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diwank
1y ago
yup but: 1. AIDEV-* is easier to visually distinguish, and 2. it is grep-able by the models, so they can "look around" the codebase in one glance
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diwank
1y ago
This isn’t entirely surprising. Language-model “reasoning” is basically the model internally exploring possibilities in token-space. These models are trained on enormous multilingual datasets and optimized purely for next-token prediction,
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diwank
1y ago
Claude Code is a really very different experience. I’d say give it a shot but Opus 4 is a step change
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diwank
1y ago
There are a bunch of different options so it depends on the models you end up liking but the simplest place to start is to get Claude Max $100 tier and use Opus 4 (the others don’t really get you the full experience)
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diwank
1y ago
Thank you! aider is a different beast actually, I found its memory/context handling best in class. Somehow though, I ended up liking Claude Code the most because of its TUI but really a matter of personal preference and workflow
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diwank
1y ago
Have tried everything under the sun at the moment— broadly just two winners (and both have become my daily drivers for different use cases): 1. Claude Code with Opus 4 2. Cursor with Opus 4 or Gemini 2.5 Pro (Windsurf used to be an option
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diwank
1y ago
The risk, in my experience, is to reach a state where you as the dev is not easily able to understand/update the tests. That becomes very tricky
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diwank
1y ago
Yeah absolutely. I’m on their Max sub since last month and I still don’t fully get how many tokens I have etc. Simplest I’d say is: get the $100/mo Max and then npm install -g @anthropic-ai/claude-code
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diwank
1y ago
Mostly just good faith during PR reviews. Plus other than Opus 4 models largely flub it and it shows
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diwank
1y ago
that didn't include the testing, that def took a lot longer but at least now my devs don't have an excuse for poorly written tests lol
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diwank
1y ago
yeah, the max subscription comes in two tiers, $100 gets you 5x the tokens than pro (which only has sonent) and the $200 gets you 20x. doing the math for tokens is kinda annoying and not straightforward atm. they also have a "hybrid&qu
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diwank
1y ago
yeah, this might change in the future but I also found that since building features has become faster, asking devs to write the tests themselves sort of demands that they take responsibility of the code and the potential bugs
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diwank
1y ago
we tried a few different variations but tbh had universally bad results. for example, we use `ward` test runner in our python codebase, and claude sonnet (both 3.7 and 4) keep trying to force-switch it to pytest lol. every. single. time. ma
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diwank
1y ago
true but this does matter to a lot of enterprise customers that have to obey strict data provenance laws (for instance, there are no gpt-4.1 model endpoints hosted in India and hence, fin-tech companies cannot use those apis)
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diwank
1y ago
the cost per token for ~similar performance is dropping by a factor of 2 every 10-11 months at the moment, so I am not sure. that said, I think devs in less expensive parts of the world are actually picking up these tools the fastest (maybe
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diwank
1y ago
absolutely! I think of these as new levers in the making, rather rusty, and def can often bite you in the behind but worth learning, and perhaps most importantly to help evolve them into useful tools rather than an excuse to ship sloppy eng
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diwank
1y ago
I appreciate this :)
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