LAYDO

Software Engineer @ Boeing, working on virtual cockpit displays. Avid gamer, boarder, golfer. Building @_apollosarcade in my free time #GoCougs #GoPackGo

[Jessica Meir @Astro_Jessica]

A timelapse view from our @SpaceX Dragon of the spectacular southern aurora seen in yesterday’s post, a result of a recent solar event. As opposed to the previous aurora I’ve seen, this one danced and snaked its way directly below us, putting on quite a show. I am in awe of this ethereal and emotionally evocative phenomenon.

[giraffe @neckincrisis]

mind your own fucking business

[Apple Design @TheAppleDesign]

POV: You’re charging your new Ferrari Luce

[LAYDO @Laydo1213]

Less than 60 days of tokens by @steipete standards

[Tyler Bosmeny @bosmeny]

A mic drop moment @ycombinator tonight

@sama just offered $2M in OpenAI tokens to EVERY YC startup in the current batch in exchange for equity

Just like Yuri Milner offering to invest in every startup back when Sam was a YC partner

I can't wait to see what's unlocked when you let the most driven, creative and formidable founders tokenmaxx

[SpaceX @SpaceX]

Full duration and full thrust 33-engine static fire with Super Heavy V3

[Michael Nicolls @michaelnicollsx]

Stunning first-sat views from @Starlink launch G10-38 on May 1, deployed from @SpaceX's Falcon rocket. Watch as the Starlink sats cruise over an entire orbit, through sunrise and sunset, and slowly separate from each as they complete their post-launch deployment sequence before beginning orbit raise.  The satellites are stacked like a deck of cards in the rocket, which slowly spins when dispensing to impart a small velocity difference, ensuring deconfliction.   May the @Starlink be with you.

[Apollo’s Arcade 🐾 @_apollosarcade]

Apollo’s Arcade, now on iOS

https://t.co/REOTede3jL

[Massimo @Rainmaker1973]

Artemis II Trajectory vs. Apollo 11 and Apollo 13

[🎞️ dflores.07]

[Toshiya @Toshiya_A]

月重力の影響圏を可視化！白い円です。加えてArtemisII Orionに働く地球と月それぞれの重力を矢印で描いています。今、ArtemisII Orionがいかに月重力に引っ張られているかが分かります。
#ArtemisII

[LAYDO @Laydo1213]

AOS

[LAYDO @Laydo1213]

@chamath https://t.co/YJkEFaQXz4

[Vignesh @_vgnsh]

Enable dreaming, go to your gateway's dreaming tab for a surprise :)

[LAYDO @Laydo1213]

@chamath https://t.co/GIP5mz6HYr

[Andrej Karpathy @karpathy]

LLM Knowledge Bases

Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So:

Data ingest:
I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them.

IDE:
I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides).

Q&A:
Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale.

Output:
Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base.

Linting:
I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into.

Extra tools:
I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries.

Further explorations:
As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows.

TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

[LAYDO @Laydo1213]

@nikitabier Been waiting 3 weeks for my first app to get reviewed, submitted on 02.23.26

[LAYDO @Laydo1213]

As with many things these days, science fiction is becoming reality

[Curiosity @CuriosityonX]

🚨: A petri dish of human brain cells just learned to play DOOM

[LAYDO @Laydo1213]

@curiosityonx SCIENCE CORNER! @friedberg @jason @chamath @DavidSacks

[LAYDO @Laydo1213]

Implementation of @F1 on @AppleTV is stunning. Can't wait for the rest of the weekend!

[LAYDO @Laydo1213]

@ARCRaidersGame @JordanVestal

[LAYDO @Laydo1213]

IYKYK

[baby keem @babykeem]

3 more to go. 2 sparks otw

[LAYDO @Laydo1213]

@jason

[Nikita Bier @nikitabier]

Tag @jason with any problems you have with the app

[LAYDO @Laydo1213]

@nikitabier scrolling on pinned lists is slightly broken on iOS. While scrolling up, bottom bar moves up and I can’t control the scroll until it comes to rest. Unpleasant experience. Please check it out

[LAYDO @Laydo1213]

@H3CZ Godspeed and get JP involved

[LAYDO @Laydo1213]

@H3CZ 🦞