mead5432

I have a similar setup with Claude on an Ubuntu VM. It handles scheduled things that might otherwise be in a routine.

I haven’t set up dispatch yet. I wonder what a Mac gets me over this set up if I don’t need iMessage

What about the glaring memory issues that is a pinned thread in your forum? It’s had one comment by a staff member over 5 or so months?

I loved Orion and have been using as a daily driver almost since day 1 including paying for it but now it’s completely unusable. I’ve since moved to Firefox.

The fact that a pinned thread was silent for months concerns me about the future of Orion. It honestly hurts to see.

Really interesting. Thanks for sharing.

Boulder is surprisingly low. From my experience, it’s on the more expensive side for single family homes. I’m curious what’s driving the info in that dashboard.

Arxiv? More like ar-cave... amirite?

Sorry; It doesn't contribute but I couldn't resist.

I interpret the OP point as addicted to the result of ads (free stuff), not necessarily the ads themselves.

This shows up in a lot of threads about paid search engines and the number of people unwilling to pay $10/month when Google provides similar quality results for “free”.

This is something I've been wrestling with for a little bit. The challenge is that if everything is locked behind a data analyst then things only move as fast as the data analyst. If a business person needs some information now, not next quarter, the challenge is managing the queue for the data analyst which devolves into a world of "rush jobs". It's all the things highlighted by the theory of constraints (The Goal by Goldratt is sooo good). You can alleviate the DA bottleneck by getting more DAs or you can find ways to help the business users do some of the basic stuff themselves.

I wholeheartedly agree that just giving a business user access to the straight database is not ideal for all the issues mentioned - they don't know the context and the gotchas in the data combined with probably not understanding how to write SQL. I think an effective data warehouse strategy with straightforward data marts of materialized views can simplify the interaction and maybe even make it really simple for someone to generate basic visualizations. A lot of business people can make basic dashboards in Excel which, worst case, could be connected to a data mart. It's not going to handle BIG data but may cover a large number of use cases for most businesses.

I'm in favor of creating some basic dashboards We've also been experimenting with embedding dashboards in internal tools that provide some slice and dice capabilities but with a high level filter. A user can manipulate and tweak a dashboard for a specific customer but to look at a different customer they need to navigate to it in the internal tools, not via the dashboard.

Sorry - was looking at an older version of the page and didn’t realize there were already a bunch of the same comment. My bad.

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Will they though? Maybe some toy ones but the distribution of other browsers are largely built on chromium with a few on Firefox and one or two on WebKit.

Beyond that, there’s Arc that’s made a splash with the HN crowd but IIRC, it’s VC funded so a whole different set of concerns.

There will be other browsers but almost the entire browser market is essentially funded by Google.

It’s a giant telecom company that already had some pretty big red flags around how they treat employees from my own network.

The best part is that she already interviewed there a while back. She got a backend interview and didn’t pass (she’s primarily frontend); not a big deal but she gets a message from a new recruiter about every 2-3 months about the same role. This time it was just AI doing it.

I love that idea. Record the messages and use that to fine tune your own language model to improve the chances of talking to a real person? If she does that and can’t get a job, the market is officially broken.

I generally agree that relying on a network and human referrals is the way to go but building an effective network is much harder than it used to be. Meetup groups and local conferences were a good source to make connections pre-pandemic but that has really withered in the last couple years.

Past collaborators are also a great source but she is junior and doesn’t really have any she can leverage.

My initial advice to her was do some real projects, document her work and insights in a blog and engage with others on social media but that’s mostly screaming into a void.

My approach to hiring is to focus on competencies (what do I need them to accomplish) rather than skills (how many years of JS) but that doesn’t cut down on the number of applicants any, just makes initial eval a little easier. I was pondering the idea of leaning in more on AI to screen on competencies which might incentivize higher information density on resumes but the quality of that eval might not actually be any better and only increase the “black box”-ness of it all.

My partner has been searching for an SDE job for 8 months and recently received an email requesting her to do a recruiter screen. She responded and got a call instantly where the “recruiter was a text-to-speech AI.

Presumably the entire process was automated; I’m assuming if they’re using text-to-speech, the selection and initial email was all AI.

It’s an arms race on both sides.

I have Paperless watching a network folder from my NAS. The scanner scans directly into that folder and Paperless picks it up and processes it within a couple seconds. Even if Paperless went down for a bit (which happened before I upgraded my server), the files remain on the shared drive until it comes back online.

Without that, I had paper piling up waiting to be scanned.