This seems reasonable and motivates my bias. But I don't know what to believe anymore.
Any conversation
Overvalued, maybe. Extremely valuable, yes, though.
For sure. We're well past the point of being able to reasonably claim that the tools have no practical use.
But I share the article's skepticism that LLM-based AI will "produce a fully automated drop-in replacement for most knowledge workers". Which it at this point has to in order to justify these companies' stupendous valuations.
Tomorrow no but there will always be the “hope” which is enough for the next 20 years before giving up. Which meanwhile would be replacing larger and larger chunks of the workforce so it won’t really matter, we’ll be adjusting our lives around it as well so we meet in the middle.
Tesla has been overvalued for over a decade with the promise of “fully autonomous cars” and it’s still not losing its value, despite not meeting that (and probably never will, as the computation necessary to achieve it is bounded by physics).
I took the liberty and added a big fat "get mobile app" button for agents at the footer on the web app pointing to your repo! Hope it's fine with you. Tysm!
Really glad to be using Haskell for work - especially in today's climate with agentic coding.
Our team uses containers to keep our development environment consistent across team members, though, and most agent sandbox approaches want to either offload your work fully to the cloud or they want to sandbox the agent harness process itself.
We're not ready for full cloud based development (yet?) and sandboxing just the agent doesn't work for us when the agent needs to run docker.
... because letting the agent run docker gives them a too-easy escape hatch from their sandbox.
So we're currently stuck with using VMs. This turns out to be tricky but seems do-able.
My current approach is to provision a VM image and use Incus for the execution. My main goal is to keep my current workflow of local/non-agent dev working seamlessly and share the source with the VM/agent.
This means sharing my working dirs with the agent VM but overlaying artifact dirs from VM-owned block devices so we don't take too big of an IO perf hit.
I also don't want the agent to be able to
git push so that means we need some quirky git config to rewrite origin paths and thread through some agent specific PATs ("thanks" GitHub) for read-only repo access. These ALSO need to be threaded through to the development containers - they need to clone private repos.... in the end, this seems to work but I haven't lived with it for long.
There are still some quality of life issues to work out, but I think it'll work out.
At this point, I've removed all coding agents from my host - and that's nice.
Curious, why does using Haskell make a difference here?
It's tangential to the sandboxing topic, really. I started the first post with a broader intent in mind and then elaborated on the sandboxing setup I'm working on.
For AI-assisted coding, though, it's nice because Haskell provides a lot of feedback earlier in the development process compared to lots of other languages. It tends to work once it compiles (obviously not all the time).
I've been building a Markdown variant called Zd that's focused on extensibility and simplicity. I'm curious what you would change about Markdown if you were designing it from scratch, what challenges you face as a user, or what you wish were easier to do when incorporating Markdown into your own projects.
Definitely tables are cumbersome.
Yeah, 100%. That is completely something I am punting on currently. It would be easy to just copy over the solution from (extensions to) Markdown, but it's hard to entirely narrow in on both what tables ought to do and how to make them do it.
If you had a magic wand, what would you have them be more like?
I’m using textlog to explore the intersection of and tech, with the goal of building an app that solves a problem in this space. Named , it's word represented as a hex color.
Of all the words there, it is a cocoa-ish color and is an appropriate name for this idea.
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I'm 55 and recently self-diagnosed as "fairly ASD with some ADHD" after watching a lot of youtube videos. It's been immensely helpful (to the point of bringing me to tears sometimes) in understanding the struggles I had when I was younger. It's also been very helpful in understanding what I can do currently to support myself and work with my brain instead of against it.
I'm glad it was useful to you. This process of becoming aware of our autism is not easy. It is liberating, but it is also difficult, at the same time.
I watched a lot of videos too, but then I visited a couple psiquiatrists and a psycologist (I had other problems too), just to be sure.
What is your opinion about the ASD youtube landscape? I think that there are a few very good channels, but there is lot of noise too. I see some danger there.
Those "10 signs you may be [or not be] autistic" seem quite dangerous to me. Neurodivergence can be tricky.
Yeah I agree that there are many ASD channels on YT of varying qualities. I only follow a few. Some of my favorites (very roughly in order):
I think for now being self diagnosed is enough for me. Just knowing that I'm neurodivergent has been helpful for me to be kind to my own mind.
@MomontheSpectrum@imautisticnowwhat@elenacarr0ll-- kinda more emotive, but I find that helpful sometimes@autismfromtheInside-- no longer posts (burned out)