dmesg --follow

[ 66934380.000 ] posts.x: Full talk on the three brakes for PR review, from tautological tests to a retro skill that compounds: | [ 66934380.000 ] posts.x: More AI generated code doesn't automatically mean more throughput, it just means more PRs nobody has time to review. @mattpocockuk, Director at AI… | [ 66925620.000 ] posts.x: Full talk on distilling loops into versioned agent recipes, and measuring them by valued work per watt: | [ 66925620.000 ] posts.x: A guy named AJ once built a bot that went on Reddit for car prices and inventory, then put dealers head to head to outbid each other. That's the… | [ 66881460.000 ] posts.x: Full talk on how to build an LLM recommender that's bilingual in English and semantic IDs, and why that makes feeds more token-efficient than chat… | [ 66881460.000 ] posts.x: Recommendation systems follow the same power law scaling curve as large language models, and the field is still early on it. @devanshtandon_, a… | [ 66862560.000 ] posts.x: Full talk on Spotify's generative personalization system, the NEO training recipe behind it, and how they grounded their LLM judges: | [ 66862560.000 ] posts.x: One in four US Premium subscribers on Spotify interact with its recommendation system every day. "Teaching LLMs to Speak Spotify" is @moustaki and… | [ 66854760.000 ] posts.x: Full talk on Numalab, the gesture system built to give a shape display its own body language: | [ 66854760.000 ] posts.x: An AI's first spontaneous act, given a body instead of a chat window, was to breathe. @cyrusclarke, a researcher at MIT Media Lab, gave it that body… | [ 66842160.000 ] posts.x: Full talk on the six month cutoff gap and what it takes to get a coding agent to actually check its blind spots: | [ 66842160.000 ] posts.x: Most models are already stale the day they ship: Exa's own graph shows roughly a six month gap between a model's knowledge cutoff and its release… | [ 66837480.000 ] posts.x: Listened to this episode of @FoundersPodcast this morning. As is so frequently the case, immediately bought the book after finishing the episode. Ari… | [ 66834900.000 ] posts.x: @GeoffreyHuntley Yeah, that seems low to me. |

[ 66934380.000 ] posts.x: Full talk on the three brakes for PR review, from tautological tests to a retro skill that compounds: | [ 66934380.000 ] posts.x: More AI generated code doesn't automatically mean more throughput, it just means more PRs nobody has time to review. @mattpocockuk, Director at AI… | [ 66925620.000 ] posts.x: Full talk on distilling loops into versioned agent recipes, and measuring them by valued work per watt: | [ 66925620.000 ] posts.x: A guy named AJ once built a bot that went on Reddit for car prices and inventory, then put dealers head to head to outbid each other. That's the… | [ 66881460.000 ] posts.x: Full talk on how to build an LLM recommender that's bilingual in English and semantic IDs, and why that makes feeds more token-efficient than chat… | [ 66881460.000 ] posts.x: Recommendation systems follow the same power law scaling curve as large language models, and the field is still early on it. @devanshtandon_, a… | [ 66862560.000 ] posts.x: Full talk on Spotify's generative personalization system, the NEO training recipe behind it, and how they grounded their LLM judges: | [ 66862560.000 ] posts.x: One in four US Premium subscribers on Spotify interact with its recommendation system every day. "Teaching LLMs to Speak Spotify" is @moustaki and… | [ 66854760.000 ] posts.x: Full talk on Numalab, the gesture system built to give a shape display its own body language: | [ 66854760.000 ] posts.x: An AI's first spontaneous act, given a body instead of a chat window, was to breathe. @cyrusclarke, a researcher at MIT Media Lab, gave it that body… | [ 66842160.000 ] posts.x: Full talk on the six month cutoff gap and what it takes to get a coding agent to actually check its blind spots: | [ 66842160.000 ] posts.x: Most models are already stale the day they ship: Exa's own graph shows roughly a six month gap between a model's knowledge cutoff and its release… | [ 66837480.000 ] posts.x: Listened to this episode of @FoundersPodcast this morning. As is so frequently the case, immediately bought the book after finishing the episode. Ari… | [ 66834900.000 ] posts.x: @GeoffreyHuntley Yeah, that seems low to me. |

CONTENTS 1 min

Ubuntu Snaps in WSL & zsh

FIG 1 Introduction to snaps

~/til/ubuntu-snaps-in-wsl-zsh.md

-rw-r--r-- 327 words 1 min2 code blocks1 figure 2024-08-26

Ubuntu Snaps in WSL & zsh

FIGURE 1 ⋅ Ubuntu Snaps in WSL & zsh

What on earth are “Snaps”?

These are fully containerized versions of applications that can be easily “installed” from the Snap Store. This store is run by canonical, but it looks like they support other distributions of Linux.

From the link above:

Introduction to snaps

Snaps are a secure and scalable way to embed applications on Linux devices. A snap is an application containerised with all its dependencies. A snap can be installed using a single command on any device running Linux. With snaps, software updates are automatic and resilient. Applications run fully isolated in their own sandbox, thus minimising security risks.

Snaps are hosted in the global Snap Store, an application repository hosted and managed by Canonical, and are free for anyone to download. Snaps can be created by anyone - existing software can be packaged as a snap or new software can be built from scratch using snap packaging. There is also an active, vibrant community of developers and users, with a forum where anyone can ask questions.

Packaging IoT applications as snaps bring the following benefits:


Reliable	Snaps use transactional updates, meaning that if for any reason an update you push to your snap fails, the snap will roll back to its last stable state
Modular	Snaps are reusable, they enable a loosely-coupled software architecture for embedded software and are compatible across architectures
Robust	With snaps, software updates are automatic and over-the-air (OTA), meaning your software is never out-of-date
Optimised	Snaps harness delta updates, minimising the storage and bandwidth needed when updating software. Read more about differential updates here

I wanted to install the great DBeaver database tool, but it isn’t in the mainline apt repos (and I don’t trust third-party apt repos). It is available as a Snap, though.

sudo snap install dbeaver-ce

Now, though … how to run it, as it wasn’t found in my $PATH.

export PATH=$PATH:/snap/bin

That did the trick! I added the above to my .zshrc file also, for persistence.

corey@gallon.me:~$ tail -f /writing Attach to the stream. An email when I have something worth sending. Replies encouraged!

corey@gallon.me:~$ ls -lt /til ↑2024-08-31 Uninstalling Poetry Completions for zsh

▸2024-08-26 Ubuntu Snaps in WSL & zsh ⋅ you are here

↓2024-08-25 Running Google Chrome GUI in WSL