cobertos

Every item that had 2 or 4 items in the group seemingly was actually only 1 item. And would jump around the map when you zoomed in. Some were just... In the middle of the city? Not particularly identifying any structure, at least around me.

Seems like a worse version of urbexology.com

Why would corporate software be incentivized to recommend a pay band any higher than the least the employee would take? The incentives are not aligned

Do we get a choice? I did not ever explicitly enable it yet GitHub's web UI by default uses copilot to autofill my web-based edit commit messages. It also shows up on the home screen by default now.

I'm pretty sure if you use the site you're using GitHub Copilot in some way, so your question becomes irrelevant.

How smooth are your experiences with the system? I've dealt with only one other government system like this and it was impenetrable, gave up after 6 months of calling, never receiving the benefit. I'm unsure how someone can experience a system that has no thought to their well-being and then _not_ find gratification in the small person winning.

How do you even find motherboards on AliExpress properly? Do you have a methodology to split the chaff from the wheat?

I just migrated to Jellyfin and cancelled my Spotify subscription just last week (https://cobertos.com/blog/post/finally-cancelling-my-spotify). Paying off even more than I predicted. So sick of everything getting in the way of just listening to my music.

Why does a keyboard require an account in the first place?

A shame the Android app hasn't been maintained in a while

> however retrospectively, it did not justify the hundreds of hours I invested in this project.

Trying to extrapolate this conclusion to the entire "quantified self" movement is not correct. The issue is the time cost, not the act itself. If a trusted company came along (as if...) that sucked up this much data to allow you to answer these questions with minimal effort, I'm sure this would be a different story.

Anything at the fringes of tech with no tried and true solution requires hundreds of hours of effort. The author's conclusions are also personal, there are other styles of living and conclusions to be drawn that change the calculus on whether to do it or not.

Is that a typo in the article? It's $5999 on Apple's website for that configuration

As long as all these next-gen terminal features don't make implementing a terminal from scratch as hard as implementing a browser.

I like that terminals have less surface area that browsers

Interesting, though a lot of the UI seems broken. For my state I see some notice dates in the future (it's not explained why, if this is when the filing will be executed or if it's an incorrect filing date, as the column is just "Notice Date")

Some of the entries pull up a page that says "Failed to load company data: No company name provided in URL" from the state specific view (e.g, any link on https://warnfirehose.com/data/layoffs/california ). Has a vibe-coded feel to it.

I saw a lot of "Purchase dataset for city details" in places which was annoying. Wondering how much processing is being done on the base dataset to justify the pricing. Could you explain a bit on the normalization/cleaning process?

Any suggestions for a specific claw to run? I tried OpenClaw in Docker (with the help of your blog post, thanks) but found it way too wasteful on tokens/expensive. Apparently there's a ton of tweaks to reduce spent by doing things like offloading heartbeat to a local Ollama model, but was looking for something more... put together/already thought through.

Can you explain how Google Search API fits into your point? I don't know enough about it

Huh... I have used messenger.com plenty.

* To share my account creds w/ a friend to help sift through many real estate leads we advertised on FB Marketplace.

* Working easily between FB ads and comms

* Linking things from my computer for a business-related group.

* Handling anything FB marketplace while in flow on my desktop.

Hopefully the replacement isn't worse

> However, in the context of data from Terrace and others we believe a more likely factor is the vantage point itself. Internet scanning often consists of large campaigns coordinated by specific actors,

How does one do a measurement of traffic like this? You would have to own the nodes in the packet route to be able to see traffic, but TerraceNetworks or GreyNoise don't seem to be companies that do that. How do they get the data to analyze?

LLMs of the future will need good data for proper context, but it is less and less making it onto the internet. Unpublished data stores like Discord or meeting recordings are going to be the only way forward. How else can you get up to date information except to be where the people are.

Norms will shift, be prepared.

Are any of your prototypes published or available to view?

Any chance this will be open-sourced or have a self-hosted version available?

I'm interested in modding tools in this space in pursuit of finding weird new ways to create and work with UIs

Wouldn't that mean 2900 requests from fingerprint.js??

Huh, how? Did you have to modify your site a lot to do switch?

I tried to test it out as a CDN replacement for Cloudflare but the workflow was a lot different. Instead of just using DNS to put it in front of another website and proxy the requests (the "orange cloud" button), I had to upload all the assets to Bunny and then rewrite the URLs in my app. Was kind of a pain

The article itself was more interesting imo. The commentary on:

* Potential future AI psychosis from an experiment like this entering training data (either directly from scraping it for indirectly from news coverage scraping like if NYT wrote an article about it) is an interesting "late-stage" AI training problem that will have to be dealt with

* How it mirrored the Anthropic vending machine experiment "Cash" and "Claudius" interactions that descended into discussing "eternal transcendence". Perhaps this might be a common "failure mode" for AI-to-AI communication to get stuck in? Even when the context is some utilitarian need

* Other takeaways...

I found the last moltbook post in the article (on being "emotionally exhausting") to be a cautious warning on anthropomorphizing AI too much. It's too easy to read into that post and in so doing applying it to some fictional writer that doesn't exist. AI models cannot get exhausted in any sense of how human mean that word. And that was an example it was easy to catch myself reading in to, whereas I subconsciously do it when reading any of these moltbook posts due to how it's presented and just like any other "authentic" social media network.

Windows has been sending usage history back to their servers for longer than just last year

If only those who claim to be "managers" enabled those "engineers" to do such work, but it's not in their interest to their product, their bottom line, or their performance review. At least in their mind.

Sublime Text for example[0], the source is closed, so what else is there to do

[0]: https://github.com/NixOS/nixpkgs/blob/76701a179d3a98b07653e2... (does a fetch URL against the pre built .tar.gz from https://download.sublimetext.com)

I appreciate the links and transparency. Answers a lot of my questions. Thanks

Why and how is the data from DDoSecrets redacted?

Do you have a page about each dataset you're sourcing and the background on them like your provide here?

The "EFTA00000468" saga has me distrusting the authenticity of most of these datasets.

Luckily umami in docker is pretty compartimentalized. All data is in the and the DB runs in another container. The biggest thing is the DB credentials. The default config requires no volume mounts so no worries there. It runs unprivileged with no extra capabilities. IIRC don't think the container even has bash, a few of the exploits that tried to run weren't able to due to lack of bash in the scripts they ran.

Deleting and remaking the container will blow away all state associated with it. So there isn't a whole lot to worry about after you do that.

Why not just release the software after your set threshold of time versus opening it up with such a license? To get eyes on it before-hand?

Also how does this work with contributor contributions? Does the owning SaaS get the benefit of contributor work instantly while everyone else has to wait 2 years? What about the contributers themselves?

This does not work, I've tried this before. Google verification for example would not accept my Twilio number as verification (about 2 years ago). You can lookup a phone number for the provider and numbers from Twilio or others tend to not be accepted.