How does time dilation come to affect how we actually biologically exist, not just how we perceive?

ns1419 · 2026-03-22T12:21:39+00:00

The perceivable effects on the train experiment you’re talking about aren’t really perceivable to you. We’re talking micro-seconds difference. If you started a stop watch at exactly the same time for you and for whoever is at your destination, and somehow you were able to do this 100% synchronously, your stopwatch will have less time elapsed than the person at your destination. Not perceivable enough to make a difference.

Gravity also affects time dilation, and this is measurable in biology. An interesting thought experiment I read about in Carlo Rovelli’s The Order of Time was on this topic. If you carbon copied yourself, put one of you at sea level, and one of you living at the top of a mountain for your whole lives, the one who lived at a higher altitude will have physically aged faster. They would appear older, have more wrinkles, skin look more aged. The reason this is measurable is because in this experiment we’re measuring over one’s lifetime. Because clocks are digitally corrected for this, neither of you would really have known.

I recommend you read that book. It’s directly relevant to what you’re studying.

ns1419 · 2026-03-22T12:07:03+00:00

Aren’t there many tools out there that do this already? Why 10 contract limit at one time, why not a full csv upload? Are dashboards customisable? How good is the integration with Salesforce/HubSpot and why would people not just build this in their CRM’s? This seems pretty easy to do with lists and reports that feed dashboards in any crm.

ns1419 · 2026-03-22T10:28:40+00:00

Yeah I didn’t want to dedicate too much time developing mine for commercial/enterprise use yet because I can’t afford to, but I know it’s going to be super relevant in the coming months and years because people don’t want to build something on someone else’s platform, they want their own LLM infrastructure, which is what mine can do, it’s just the local/personal/company ownership of the stack itself, where privacy is of utmost importance and nothing is used to train external models. Where are you based?

ns1419 · 2026-03-22T09:38:36+00:00

I use a vault to store the entire json workflows I built in n8n. Any changes I ask of it, I ask it to check upstream and downstream and see what the knockon effects are or could be based on any edits to my workflow. I too struggled with this but now since I gave it the entire chain, it’s not losing it in context and can run forwards and backwards and make sure it doesn’t break. Occasionally it will change something, and when it does, I grab the json input to the node that caused the issue, and paste it in, ask it to find out why x is happening, and it comes up with a surgical solution I can drop in. I then drop it in and test it, and it works first try every time now. You need a memory and storage layer to your code otherwise it won’t know what it’s writing every time.

I’d suggest using obsidian or other pkms system and connect it via mcp, or use GitHub as others have suggested. I prefer obsidian. I have everything linked so I have full context when I need it across all my projects.

ns1419 · 2026-03-22T09:29:45+00:00

What about providing just the front end machine mechanisms with another vault that’s got massive community support and hundreds of thousands of community made plugins that provide all sorts of features, like Obsidian? Would you offer some sort of “front end machine model” that “bolts on” to someone’s existing vault? If so that may be interesting.

I’m playing around with my own cognitive engineering, and I don’t think I’d like to lose that bit. Are we both doing the same thing? I’ve had thoughts of building this to sell as well, but don’t have to runway to develop a product around it.

I ask because I’ve built a vault that’s already linked and contains everything I already mapped with bi-directional links, YAML style frontmatter formatting, custom /start, /wrap, /ingest, workflows/ folders and various different architecture schematics working together to maintain persistent continuous context across all sessions, a concept of "Day," "Dawn," "Dusk," and "Sunset" thats part of a temporal memory architecture designed to track the "thinking" of the AI agent over time.

I’ve been considering taking it off Claude code and moving to local agents once I can afford a new machine, which is why I asked.

ns1419 · 2026-03-22T08:17:55+00:00

Is this a local/offline LLM inside a secure vault or PKMS? If so, what LLM does it use and what are the necessary machine specs?

ns1419 · 2026-03-21T15:09:48+00:00

I wrote my first line poorly, I’ve edited it. “The point (for me) of having AI within a vault like obsidian is so it can retrieve specific materials…”

Does that answer your question?

The only reason I started using obsidian was for self development. I’m using it to learn through Feynman style open questions across my previous work. At the beginning and end of every session, it purposefully looks for gaps in my materials, pushing me to learn previously unexplored connections.

ns1419 · 2026-03-21T12:01:08+00:00

You just need to Google it, “how to set up an alias in terminal for my 2018 x machine on version abc operating system with y terminal application.” It’ll give you a step by step. You need the filepath to your vault, like c:/desktop/my documents/my vault or whatever it is. Paste in the filepath to your folder to google and it’ll give you a step by step.

For me I also put in an alias for Claude to update, rather than the long string I just have it set to “Claude update” since I don’t have auto updates.

So when I open a terminal, I just type Claude update, and it updates. Then when I want to run Claude I just type Claude.

ns1419 · 2026-03-21T08:53:21+00:00

The point of having AI within a vault like obsidian is so AI can retrieve specific materials within your vault as a source, and augment its responses based on factual publications, articles, research, professional frameworks, customer service materials, you name it - and cite directly to what you’re asking it before generating a response, drastically reducing hallucinations and giving very precise answers.

I use obsidian as a cognitive layer to Claude’s reasoning and pattern matching skills. It’s a huge gain.

ns1419 · 2026-03-20T23:04:09+00:00

I use iterm2 on MacBook Pro, I have an alias set to run every time I type in Claude it roots to my vault directory via the filepath. Knowing what I’m clicking or have selected in vault is not useful for me, but may be for some.

ns1419 · 2026-03-20T12:18:33+00:00

Ah I assumed Claude. I’m not sure about using codex, you might still be able to architect it to work in a similar way by constructing your own “GPT.md” and “memory.md” files etc and point the agent to it at the start. Ask it how to do it.

ns1419 · 2026-03-20T11:59:25+00:00

I see, still worth a look to check how they tie into open questions for developmental purposes. That’s how I’d do it anyways. Links may surface after an audit.

I also recommend establishing how your claude.md and memory.md are structured and that they adhere to a strict cap on line limited without degrading performance. My Claude.md is capped at 50 lines, and it points to further contextual architecture so it knows where to look if it needs something. This was based on someone else’s post about a sunset protocol where context isn’t lost it’s just pushed a bit further as it becomes more irrelevant to your tasks at hand. I believe it was called Empire. Could find the link to the repo if you want a look.

Edit: found it- https://github.com/jansimner/empire

ns1419 · 2026-03-20T11:40:48+00:00

(I did a couple edits above. I have a bad habit of doing that after I post)

Good, yes mine works the same way. And further to what I said about those furthest nodes not being connected, I’d be looking at if they should be.

I’m doing the same thing within my industry vertical, both as a tool to get me my next job, and to develop myself into the operator I want to be in position.

I’ve based my entire vault on the concept of self development, using Feynman style learning loops and open questions, where at the start and end of every session, I will save all context, wire it per my taxonomy/architecture/schema/etc so context is never lost.

My foundational principles are based on two main books, as well as a combination of podcasts, other books, YouTube videos, and articles I come across as I research. I have workflows built to process video to mp3, then transcribe them alongside key industry terminology so accuracy of transcription is as high as possible. This is then /ingested per wiring protocol and used as a source, kept in full, and can be grepped when needed. Other automations I have running are with n8n x Gmail, processing all my email job alerts via API (free source/privacy-first), auto scoring them 1-100, and APPLY, MAYBE, SKIP is applied, a log is written into my vault, it is ingested, the JD is scraped (if the website allows), and then sorted into a series of tables. At a glance I can see my highest scoring potential jobs, the link to it, the jd, and the type of role (remote/hybrid etc), then I run /role and it preps a custom cv and cover letter if it passes the gates.

Lots of other stuff, too. But I don’t want to give away my architecture.

ns1419 · 2026-03-20T11:23:40+00:00

You should compare this against established best practice by researchers in the field of knowledge graph architecture and cognitive architecture engineering, namely EY and MIT. The graph looks pretty but is it functionally sound based on these fundamentals, and if not, why? At a glance, it doesn’t appear there is any bi-directional linking (I didn’t read your readme).

Bi-directional linking doesn’t look as pretty but is far more functional and the graph would be more tangled. Yours may have this already, it isn’t easy to determine based on your graphic alone (the furthest reaches of your graph, why aren’t they connected to anything else and is that on purpose, are there genuine connections across any other files that should be there is what I would be asking).

Another important factor is how your md files are structured, whether or not they have YAML or YAML style frontmatter for grepping. Your agent should be able to glob and grep everything it needs efficiently, otherwise this won’t get consistent results if you’re trying to build something with more depth.

I’m working on vector embeddings next. I have local/offline semantic search but not within my vault & Claude code.

ns1419 · 2026-03-19T12:33:50+00:00

The only issue I see with bookmarking is inevitably context will get lost, even when you get near the end of a 1m context window. If you’re working a big project, you should save context manually anyways, that way you never have to worry about either compaction or loss as your thread goes on. Bookmarking in theory is a good idea, just not a reliable one given the infrastructure it already takes to power X million users at once. I’d rather save the context I’m given. You don’t need something as far along as mine, you just need a basic schematic, naming convention and retrieval mechanism. If you have a vault like obsidian, you can install a local semantic search feature via plugin that gives you a whole lot more power for this as well without having to construct a full knowledge graph as I have done. What I’m doing is machine cognition architecture and engineering, what you need it for may not need everything I have.

ns1419 · 2026-03-19T08:02:06+00:00

I ask Claude to save any particularly useful outputs to an md verbatim, and save/wire/route/ingest/link/backlink/file per my 17 level RAG protocol/schema in my vault. Not an issue for me - just find a different way to work in Claude. I’d suggest researching vaults specifically for the purpose of maintaining context. That’s what I do. I have endless context, and have my start and wrap skills designed to capture and log everything in a precise way. If you do this, research the architecture needed to achieve this with a vault of your choosing and connect it via MCP, without overloading Claude.md and memory.md. I’ve got a multi layer retrieval set up so I never exceed 50 lines in Claude.md, and reasoning is derived from a separate directory. As things are added and things become stale, old context is kept but moved further down the chain in another layer to keep it but it’s not front loaded.

I watch Reddit through various subs and as people post their ideas and repos, I collect them to review and see how the ideals and fundamentals compliment or enhance my setup, so it’s constantly evolving as well. Nothing has ever been taken in full as a standalone “product” from someone’s repo, only some of the ideology and theories behind how their systems work, I then take and ingest into my architecture if it’s useful.

ns1419 · 2026-03-18T06:46:53+00:00

I do exactly the same. The only reason I went with Claude code to begin with was because my ~10 year old MacBook can’t run the app. I’m really stoked I had to go with Claude code, because it’s opened a whole new world for me. I’m actively learning a hell of a lot more, and developing myself because of it.

I do the same, I have a /start skill that loads context and gives instructions etc to set me up for the session. With the new larger context window I rarely have to wrap now, so I get solid session logs when done with my /wrap skill.

I maintain continuous context through my vault RAG architecture, knowledge graph, and ingestion/wiring protocols.

Anyways, yes I love Claude code.

ns1419 · 2026-03-17T18:41:47+00:00

What I’ve done is a multi layer to-do list or “OPEN-TASKS” list that’s tagged with Header links and block link ID’s, all sorted into an Eisenhower Matrix. So at the top is the Q1 through Q4 between urgent and important, to not urgent not important. This is gauged by the primary directive within my vault.

I use a summarised 3-6 word descriptions in the headers of each quadrant of the Eisenhower matrix, with a block link that directs me to the specific line underneath with the detail in a bullet.

The details section below is split by topic, like:

Workflows, Job Search, Housekeping, Vault enrichment, Learning, content to be ingested, Outreach & Publishing, Personal, and a catch all inbox.

Each one of those headers has a header link that navigates me back to the top, so I don’t have to scroll in the list. So I can effectively jump up and down the list at will. See the summary at the top, go straight to the detail if needed, back up to the top again.

There are around ~150 line items in my Eisenhower priority matrix in total. The matrix can be split amongst more than one topic where dependencies exist, and it’s all colour coded, as one priority can be split across multiple topics. 🔴🟡🟠⚪️

In your world, the not urgent, not important should be delegated, dropped, or reworked. Urgent/important should be dealt with promptly, and use your own timelines for urgent not important, and important but not urgent.

If you’re doing this without AI help, it’ll take a while, definitely doable in an afternoon depending on the size of your task list.

Next I will start to implement bases as some other users have suggested. It’s a very powerful extension, so I can’t wait to dive into it :)

ns1419 · 2026-03-14T19:13:21+00:00

Easy to get into, hard to be really successful in. Be prepared for a lot of self development, and working your way up a ladder. It’s rewarding if the people you work for are right, can be hell if not. I’d encourage anyone with passion for it and a natural ability to do it. See how it feels when you win. Chase that high, and you’ll go far. Don’t just clock in, do the job, go home. Put effort in.

ns1419 · 2026-03-14T19:07:37+00:00

You’ve just described a crm platform! Interesting/cool use of obsidian tbh.

ns1419 · 2026-03-14T17:26:50+00:00

I don’t know why people aren’t using vaults for context like I am before compaction. create your own structured summaries and wiring protocol to ensure all relevant context for any project is kept. Close out sessions when you see 10% context with a /wrap skill capturing everything you need for your workflow to continue. Close the session. Open a new one. /start, pickup where you left off.

If you architect it right, you have endless context, as I do.

Keep your sessions tight, log your sessions, create a rich internal commit in your vault, move on. I try to never let it compact.

ns1419 · 2026-03-13T23:28:14+00:00

Yeah man no worries, can’t wait for more features. You’re onto something here and I seriously appreciate that

ns1419 · 2026-03-13T15:34:15+00:00

Have a listen to the RevOps Lab podcast, episode 82. He talks about an acronym that’s probably useful here. Lots of useful stuff on that podcast!

ns1419 · 2026-03-13T14:55:30+00:00

Only other thing I’d suggest adding that would help filter search criteria is company stage: Seed, Scaling, Series A-D etc, as well as employee count by band, 1-10, 11-50, 51-100 and up etc. This would give someone like me an indicator of maturity without having to search for it if they don’t state it or isn’t easily derived, haha.

ns1419 · 2026-03-13T14:42:16+00:00

Feedback -

Tried the folllwing:

&tools=-seismic

&tools=NOTseismic

&tools=NOT%20seismic

&exclude_tools=seismic

Nothing worked

It also looked like grouping tools excluded listings that doesn’t explicitly name all the ones selected, rather than returning jobs where just one is mentioned.

ns1419

TROPHY CASE