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I'm also gonna add a text editor to it which is literally just a <textarea> with the contents. Then if I want any fancier editing I can open up the devtools and write code for it there.

Longer term it might be cool to integrate language models for auto complete in there

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It's super janky so far but here's the code: github.com/RangerMauve/shell-c

Gonna add "command history" and opening multiple windows.

Also gonna wire up the agregore theme API to it for customization. :P

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Sadly I am a munch better coder than this local AI. :/ Unsure of the commercial cloud ones are better than me or close enough to me to be useful.

Gonna make a new shell / terminal emulator that behaves more like graphical text interfaces. Kinda tired of having to rewire my muscle memory between the terminal and GUIs. I want `ctrl+z` to do an undo when I'm typing text instead of whatever arcane shortcut bash uses.

As part of this experiment I will try to rely on a local called OpenHermes 2.5 Mistral 7B instead of duckduckgo as much as is practical. Though I think I need to tune it with the repos I usually refer to for code.

finally touching my computer after not using it for a week.

going to try to do a little bit of coding for fun before I get back into work mode.

using this track as a way to get back in the zone: soundcloud.com/vlindervos/op-d

How bad are the thousands of new stochastically-generated websites?
Last night I wanted to roast some hazelnuts, and I could not remember the temperature I used last time. So I searched on DuckDuckGo. Every website that I could find was machine-generated with different temps listed. One site had three separate methods listed that were essentially differently worded versions of the same thing. With different temperatures.

So I pulled my copy of Rodale’s Basic Natural Foods Cookbook off the shelf and looked it up there.

I think it may be time to download an archive copy of the 2022 Wikipedia before we lose all of our reference material. It was nice having all the world’s knowledge at my fingertips for a couple of decades, but that time seems to be past.

[ Edit: Since others have mentioned the possibility, I should mention that some of these sites may have been SEO-generated/altered and not generated by an LLM. However, even if that is the case, the fact that the sites are as bad as and indistinguishable from LLM-generated sites means to me they are just as bad and just as likely to be have only a loose resemblance to reality. There are many ways to be a fancy stochastic parrot. ]

Ugh 😤 ip command is the most significant change in Linux since they deprecated the ifconfig, a standard command on unix-like systems such as macOS, freebsd, and others. Check out my ip command guide cyberciti.biz/faq/linux-ip-com for more info.

@llewelly @Gurre @futurebird
Don’t accept the chauvinistic tradition that labels our era the age of mammals. This is the age of arthropods.They outnumber us by any criterion – by species, by individuals, by prospects for evolutionary continuation.

@Gurre

OMG it's smaller than an amoeba!

I'm screaming!!

They lay their eggs inside of the eggs of 1-2mm long crop pests.

And... read the article to see what the males are like... they are even smaller somehow, but it's ... disturbing.

blogs.dal.ca/openthink/a-tiny-

Photo by Alexey Polilov, 2012

Finding a new job is not going to be easy, after six years of corporate bullshit I just can't anymore. If you need a very experienced Kotlin/Android dev, but don't do any AI/Blockchain/Tracking/Ad stuff let me know.

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Rest is fun but I'm high key getting the urge to code. >:)

Usually this time of year I'd be alone since everyone would be off doing family stuff. This year I get to spend it with two of my partners and also get to take a whole week off work. The contrast feels almost decadent. 😅

Anyone know of folks to follow for info about or in general? I wanna go outbto see stuff more often but I basically never see ads anymore.

infosec best practice in 2023: do not use or install any software

Looking at my own default algorithmic feed, I see 50% posts about nikki haley, 25% hot takes about electoral politics, and then ~10% of high follow accounts posting whatever, ~10% (delightful) shitposts. It's hard for me to summarize my fedi feed because every post is about a wildly different thing, there are definitely clusters from someone boosting a lot of things rapidfire, but yeah very much a mix. It used to be true that most of the fedi just talked about computers or (delightful) indecipherable trans stuff, but that has definitely changed.

I do think there is something missed by not having 'my friends see similar things to me and so we have a shared information diet' but i do not think that making it so everyone sees the same thing is the answer to that.

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Checking in on whether #bluesky / #atproto has become any more like a communication medium, and... nope. almost unchanged since i looked at it last in June. Bluesky is a spectator platform where a small number of accounts receive most of the visibility and smaller accounts are effectively invisible. The introduction of new feed algorithms (to the degree that happened, there aren't really many that I can find in wide use) did not change that. This is a non-normative analysis: in some cases, it is good to have a medium that promotes some very small number of posts and accounts, eg. to surface singular events, etc.

From a 25h sample of the firehose...
- 600k posts, 2.4m likes, 250k boosts, 350k follows
- 40% of posts receive 0 likes, 70% receive <= 1
- accounts in the 99th percentile of likes received 44% of likes, accounts in the 95th percentile received 74%
- 40% of posts were from accounts within the top 95th percentile of accounts by likes received.
- the maximum number of likes for a post by an account not in the top 95% is 32.

The first plot below shows the cumulative sum of likes received on the y axis against each account in the sample on the x axis - this includes accounts that didnt' post during the sample (but would still have posts that could be liked, so this also shows the extreme recency bias). The second plot is a hockeystick showing the number of likes (*not* cumulative sum) received on the y axis per post on the x axis.

For background, the default algorithm only cares about likes, boosts don't matter, which is why i am calculating things by likes here - they are the primary algorithmic signal.

These are the same calculations that I did back in June, but this time i'm leaving the firehose open to do a longer sample to be able to parse momentary virality from persistent effects.

edit: more on "where is the fedi comparison" and "why is it like this" neuromatch.social/@jonny/11166

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