docheinestages

6 ms·

91.
by docheinestages 3mo ago
This could be a cool captcha challenge (without the timer).
92.
by docheinestages 4mo ago
We should look at the nature to learn what quality means. Survive first with whatever it takes. Then if you have comeptition, keep improving.
93.
by docheinestages 4mo ago
We need a new rule in HN where authors of repos with AI generated walls of text as their README may only post their repo if they record themselves reading the readme from top to bottom. Can you do it? Try.
94.
by docheinestages 4mo ago
Feels like it's 2006 again and we're talking about IE vs Firefox.
95.
by docheinestages 4mo ago
Why do I have the feeling that the recent surge of "Fable built ..." is a marketing campaign by Anthropic?
96.
by docheinestages 4mo ago
It probably flagged the vending machine as a cybersecurity risk and refused to use its maximum intelligence potential.
97.
by docheinestages 4mo ago
Some suggestions: The landing page has an information overload (at least for me). I have a hard time understanding what to look at, because it's both a landing page with very dense writings, and at the same time something that looks li
98.
by docheinestages 4mo ago
We really need a "memory arena" to serve two important purposes: 1. List all the known agent memory projects (of which there are hundreds)\ 2. Objectively compare and score them both against each other and vanilla harnesses like C
99.
by docheinestages 4mo ago
My experience with using low reasoning effort has been nothing but a waste of time. Claude often keeps guessing, not calling tools to ground itself, and basically at the end I end up wasting the same amount of tokens or just switch to Opus
100.
by docheinestages 4mo ago
Is it just me or is there a huge difference between how much one can accomplish in a 5-hour window with GPT 5.5 on xhigh versus any Claude model?
101.
by docheinestages 4mo ago
But does it burn tokens just like Opus? That's the feeling I have nowadays. Regardless of what model I choose, the 5-hour limit gets exhausted in the first hour or so.
102.
by docheinestages 4mo ago
It's business at the end of the day. Don't get surprised if one day DeepSeek does a rug pull too.
103.
by docheinestages 4mo ago
This is amazing!
104.
by docheinestages 4mo ago
If this project is an ad for their product (Upstash, promising "Highly Available, Infinitely Scalable"), then the last thing they'd want is a hug of death :/
105.
by docheinestages 4mo ago
But can it discover new trends without having to type the keywords?
106.
by docheinestages 4mo ago
I'm kind of on the fence about it and have a similar feeling. I don't mean to undermine the effort he has put in over all the years. That's definitely commendable. But I have strong suspicions that he's becoming an AI in
107.
by docheinestages 4mo ago
I doubt there's a definitive and reliable fix, so long as AI agents are exposed to the "Lethal Trifecta" you wrote about. My guess is that it involves a series of fixes, similar to what the post describes, starting with low-h
108.
by docheinestages 5mo ago
Then how come that process is not agentic and not well-described?
109.
by docheinestages 5mo ago
Most writings about the spec-driven development I see start with a product requirements document that is assumed to be valid. But I doubt that's the case. If so, you would've written about it, and probably would've involved a
110.
by docheinestages 5mo ago
In my experience, even the best frontier LLMs are very likely to make critical but subtle mistakes and false assumptions the more they're trying to one-shot the solution. One-shotting could be thought of as a broad term and varies depe
111.
by docheinestages 5mo ago
LLMs can synthesize the domain knowledge so long as it's within their training data. At some point, blindly trusting the decisions they make becomes gambling.
112.
by docheinestages 5mo ago
I doubt if this actually solves a real problem for humans or agents, especially in complex projects. It might help if the examples show scenarios where this tool and its commands could make a difference.
113.
by docheinestages 5mo ago
Why should something like this make it to the front page?
114.
by docheinestages 5mo ago
That could work, but there's still the chance that things could diverge if multiple people are working on a project and not everyone is as diligent as you. With LLM context windows continuously growing, agents should be able to scan th
115.
by docheinestages 5mo ago
I think some structure in commit messages is helpful, but not to the point where it gets in the way of effectively reflecting what the commit contains, why it was done, and any comments for future reference, e.g. potential regressions.
116.
by docheinestages 5mo ago
Generating tonnes of documentation is easy, but it can easily get outdated and so much that no one would read it. Ideally, code should be the single source of truth. Documentation should be generated dynamically and upon request to not go s
117.
by docheinestages 5mo ago
This is a helpful method for visually grounding LLMs to take actions on the screen such as clicking. For humans though, hell no.
118.
by docheinestages 5mo ago
> We believe it would be good for the world to have the option to slow or temporarily pause frontier AI development to enable societal structures and alignment research to keep up with the advance of the technology. Elon, is that you? [1
119.
by docheinestages 5mo ago
Maybe use Tampermonkey?
120.
by docheinestages 5mo ago
I really wonder if people who make such projects actually use them on a regular basis. I cannot imagine myself working with these UIs.

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