young_mete
ChatGPT Dot Review: Your Chief of Staff Is Still an Intern
ChatGPT Dot Review: Your Chief of Staff Is Still an Intern
ChatGPT Dot Review: Your Chief of Staff Is Still an Intern
ChatGPT Dot Review: Your Chief of Staff Is Still an Intern
ChatGPT Dot Review: Your Chief of Staff Is Still an Intern
ChatGPT Dot Review: Your Chief of Staff Is Still an Intern
ChatGPT Dot Review: Your Chief of Staff Is Still an Intern
Re:AI Is Throwing a Roadside Picnic
on Saturday October 10, 2026 @02:50PM (#50035908)
They are very much useful, I even have an example in the beginning. They wouldn’t be plundered from the zones and sold for crazy money if they weren’t useful. I’m also not saying that what AI is dropping now is akin to alien artifacts. I’m posing the question of whether it may get there.
Re:AI Is Throwing a Roadside Picnic
on Saturday October 10, 2026 @02:06PM (#50035493)
Usefulness doesn’t always rely on understanding. And it’s not a new thing in mathematics to have an answer without fully understanding it. We’re talking about a change in the rate of that happening, not a new phenomenon in itself.
Re:AI Is Throwing a Roadside Picnic
on Saturday October 10, 2026 @01:28PM (#50035107)
I am Russian, read it in the original. But I'm scarred by being forced to read meandering classics from a very young age, so I may just have a more visceral negative reaction to it that I have to get over.
Re:AI Is Throwing a Roadside Picnic
on Saturday October 10, 2026 @01:15PM (#50034990)
I tried "Monday Begins on Saturday" and had a pretty hard time getting through it. But I have to give it another chance - and check out the ones you mentioned.
Re:AI Is Throwing a Roadside Picnic
on Saturday October 10, 2026 @01:02PM (#50034841)
Fair, “answers” is probably more precise than “knowledge.” That gap between answers and understanding is the whole point of the post, so I think we mostly agree.
Re:AI Is Throwing a Roadside Picnic
on Saturday October 10, 2026 @12:55PM (#50034767)
It doesn't assume, it just observes. It has the capacity to use computers better than us, more persistently, in a more scalable way, to solve problems we haven't solved before like Navier-Stokes and many more to come. You can argue all you want about whether it's intelligent or not and what it means, but the solution is now here for us to process, understand, and integrate forward into our model of the world.
Re:AI Is Throwing a Roadside Picnic
on Saturday October 10, 2026 @12:48PM (#50034682)
Yep it's the OG literary version. Very much worth a read.
AI Is Throwing a Roadside Picnic
Re:What Meta Got Right with Muse
on Saturday October 03, 2026 @08:14PM (#49949200)
I think devil’s in the details on all of your examples, although I very much agree with your overall point - it’s so nuanced in terms of timing, current capabilities, etc.
Re: chatbots were tried but it’s a wrong model for a deterministic system. It’s the best one for a probabilistic one.
Re: chatGPT auto-router - 1) I suspect explicit model selection matters less in agentic contexts (this thing is coordinating a bunch of other agents for me) vs QA context where you want to make sure you’re getting the best answer. 2) I suspect auto-routing matters less now that models are way better
Re:What Meta Got Right with Muse
on Saturday October 03, 2026 @07:49PM (#49948992)
It’s also not free.
Re:What Meta Got Right with Muse
on Saturday October 03, 2026 @07:48PM (#49948984)
Didn’t help Google, Apple, or Amazon to do the same even though they have market position and pre-existing AI products.
Re:What Meta Got Right with Muse
on Saturday October 03, 2026 @07:39PM (#49948908)
Then Tibo is on X asking things like “If we were to add one more sidebar, what should be in it”
Re:What Meta Got Right with Muse
on Saturday October 03, 2026 @07:07PM (#49948668)
It does not at all. ChatGPT is trying to be an everything app and it’s extremely convoluted by this point and hard for most people to make sense of, especially if you’re not in tech.
Re:What Meta Got Right with Muse
on Saturday October 03, 2026 @07:06PM (#49948663)
That’s pretty much the question the article tries to answer! TL;DR - good product design, personality mechanics, and ad-funded tokens is what makes it different.
Re:What Meta Got Right with Muse
on Saturday October 03, 2026 @07:05PM (#49948652)
Those are all quite mature products which they have maintained and grew super well. They haven’t had a good track record in consumer AI, there’s no coherent product strategy or offering. They had some localized hits like NotebookLM and nano banana but it hasn’t translated into organic growth and usage for Gemini
What Meta Got Right with Muse
Show HN: Remarc – better contextual feedback for AI agents
https://github.com/metedata/Remarc
Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own output. There are plenty of tools for collaborating with humans, but surprisingly few for collaborating with AI. Chat was not cutting it for the feedback I wanted to give:This thing in the implementation plan? Change it to that. What did you mean here? See...
My Hermes and Obsidian Setup and Use Cases
Show HN: Remarc – provide more contextual and structured feedback to AI agents
https://github.com/metedata/Remarc
Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own output.There are plenty of tools for collaborating with humans, but surprisingly few for collaborating with AI. Chat was not cutting it for the feedback I wanted to give:This thing in the implementation plan? Change it to that. What did you mean here? See...
Why did I build a product no one needs?
Why did I build a product no one needs?
Show HN: Remarc – contextual feedback for coding agents via MCP
https://github.com/metedata/Remarc
Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI agents on their own output.There are a plethora of tools for collaborating with humans, but surprisingly little for collaborating with AI. Chat just wasn’t cutting it for the kind of contextual feedback I wanted to give my agents.This thing in the...