- make sure jdk 21+ (<26) is installed
$ java --version openjdk 21.0.10 2026-01-20 OpenJDK Runtime Environment (build 21.0.10+7-Ubuntu-124.04) OpenJDK 64-Bit Server VM (build 21.0.10+7-Ubuntu-124.04, mixed mode, sharing)
it looks like there have been attempts to use small language models with retrieval augmented generation. here is one such effort from 2024 that seems to have had some level of success.
perhaps it's possible to train a small language model on a subset of code that does not require attribution for reuse (e.g. 0-clause bsd, mit no attribution, etc. [1]) and then to have it work with a much larger body of code (i.e. include stuff that requires attribution) via retrieval augmented generation.
the idea is not to replicate the full capabilities of what major dark boxen provide atm, but rather to see what is possible. it would be interesting to see what kinds of tasks this sort of thing could be useful for. i think at least from the legal and ethical perspectives, one might be in the clear because the parts that would require attribution would be traceable [2].
[1] i know there isn't as much of this kind of thing compared to stuff that requires attribution.
- Why Didn’t AI “Join the Workforce” in 2025? - Cal Newport
- On Lisp - A review of Paul Graham's 1993 book. - Alex Vear
- Writer Ted Chiang on AI and grappling with big ideas - Avery Keatley, Scott Detrow, Patrick Jarenwattananon
- ChatGPT Is a Blurry JPEG of the Web - Ted Chiang - version archived elsewhere as original is paywalled
In 2013, workers at a German construction company noticed something odd about their Xerox photocopier: when they made a copy of the floor plan of a house, the copy differed from the original in a subtle but significant way. In the original floor plan, each of the house’s three rooms was accompanied by a rectangle specifying its area: the rooms were 14.13, 21.11, and 17.42 square metres, respectively. However, in the photocopy, all three
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choose a release https://alpinelinux.org/releases/ -> 3.23.3
-
download iso and checksum from https://alpinelinux.org/downloads/
wget https://dl-cdn.alpinelinux.org/alpine/v3.23/releases/x86_64/alpine-standard-3.23.3-x86_64.iso wget https://dl-cdn.alpinelinux.org/alpine/v3.23/releases/x86_64/alpine-standard-3.23.3-x86_64.iso.sha256
| # create file | |
| $ echo hello > fun.txt | |
| # symmetric encryption | |
| $ gpg --verbose --verbose --pinentry-mode loopback --symmetric fun.txt | |
| gpg: enabled compatibility flags: | |
| gpg: using cipher AES256.CFB | |
| gpg: writing to 'fun.txt.gpg' | |
| # decryption |
| $ janet | |
| Janet 1.41.3-dev-8f446736 linux/x64/gcc - '(doc)' for help | |
| repl:1:> (tabseq [i :in [:a :b]] i i) | |
| @{:a :a :b :b} | |
| repl:2:> (defn loop [&] nil) | |
| <function loop> | |
| repl:3:> (tabseq [i :in [:a :b]] i i) | |
| repl:3:9: compile error: unknown symbol i | |
| # reference: https://ianthehenry.com/posts/janet-game/the-problem-with-macros/ |
This talk was given by Gregor Kiczales of Xerox PARC at OOPSLA ’94, 10/26/94. © 1994, University Video Communications. A transcript, with point- and-click retrieval of the slides, is available at http:/www.xerox.com/PARC/spl/eca/oi/gregor-invite/gregor- transcript.html
I think our field will go through a revolution. We will fundamentally change the way we think about and use abstraction in the engineering of software.
The goal of this talk is to summarize the need for and the basic nature of this abstraction framework.
The change is not new problems or new systems, but a new way of thinking about existing problems and existing systems.
- How do I view my iCloud storage?
On iCloud.com:
- Go to iCloud.com: https://www.icloud.com/.
- Sign in with your Apple ID and password.
- Click on the iCloud icon in the top left corner.
- Click on Storage.
- Sign in and use iCloud.com
- Use iCloud Settings on iCloud.com
- Check your iCloud storage on iCloud.com > 1. Go to icloud.com/storage, then sign in to your Apple Account (if necessary).