I loved reading all the Harry Potters when I was young. Maybe I need to find another genre. But they'd need to be not so thick
The best I got is biographies, which I much more enjoy as someone has lived through it, instead of just a made-up story. Which fiction do you like?
11.03.2026 07:36
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I know, I tried many times π¬. I still have "The Graveyard Book", recommended as the best fiction by Tim Ferriss, and the all-time favorite The Hitchhiker's Guide to the Galaxy downloaded on Audible.
They just bore me after a while, I don't know why.
11.03.2026 07:36
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I think slowing down is needed, the more I use them. (just thinking out loud here)
10.03.2026 15:19
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I think there's also the tricky part. If you can explore a code base much faster, same as summarizing a book, but did the statistical model highlight the parts you'd have evaluated as well?
Or is it showing stuff you'd never have looked at when exploring manually, and slower?
10.03.2026 15:19
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Vibe Coding: Build Fast, Think Slow.
As Daniel Kahneman said in his book Thinking, Fast and Slow, it might happen the same to working with AI, but with Β«Building Fast, Thinking SlowΒ».
What do you think?
10.03.2026 13:44
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This was also the message of PewDiePie's video about training his own model, where he struggled so much that he learned a lot. With vibe coding on autopilot, this is going away fast (?).
10.03.2026 13:32
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Is craftsmanship gone with AI? You can vibe code something on demand, but you have no attachment to what it's built, so how are you gonna sell or rave about something you don't even have any connection to?
No hardship, no challenges, no learnings with AI.
10.03.2026 13:32
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My book recommendations for history, starting from 2018 to 2025.
I love books, and even more so, I love recommendations from other fellow readers.
That's why I share my book recommendations, starting from 2018 to 2025.
www.ssp.sh/books/
10.03.2026 08:54
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One more reason why you should still write your blog, and why I still blog.
10.03.2026 08:23
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I tested a bit more. It's great. But still lacking features compared to Obsidian-project plugin:
- Kanban-style (e.g., for my Sales Funnel)
- Color tagging
06.06.2025 13:47
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We explore three examples:
1. Stack Overflow Developer Survey with zero-pipeline analytics
2. Updated Multi-Cloud Cost Analyzer to add MotherDuck with `DLT_DESTINATION=motherduck`
3. Including a real-world setup from Drio Tech, how he uses Airbyte/dlt + BigQuery/MotherDuck/dbt + Rill.
09.03.2026 14:23
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And we check #limitations the future holds due to the imprecise way of natural language, e.g., "give me the analytics for this week?" Did you mean "from today until last week"?
Or how data workloads need to be #deterministic and #reproducible to backfill faulty data, but AI agents aren't that.
09.03.2026 14:23
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We explore more:
βWe discuss agentic codingβno more dashboards needed?
βNatural language interfaces: convenient, but inaccurate?
βDoes self-serve BI-as-Code provide the #context we need?
βHow language choice mattersβSQL, YAML, chosen for Agent use (not human familiarity).
09.03.2026 14:23
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Getting started with an example project - zero pipeline setup.
In this new essay we look into general data engineering workflows and working with new agent tooling, why you'd use @motherduck.com, and how @rilldata.com can help you in this stack.
We look at #ConversationalBI, turning dashboards into code (and code into agent-readable context).
09.03.2026 14:23
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Iterate with prompt, generate and ship
These stacks are a joy to work in, and the iteration cycles are super fast from:
`ambiguous prompts -> verifiable configs -> shipping visualizations`
Increases quality by allowing domain-experts knowing the business best to own more of the stack, while everything is still versioned, automatable.
09.03.2026 14:23
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Rill | Building an Agent-Friendly, Local-First Analytics Stack with MotherDuck and Rill
The convergence of embedded analytics engines (DuckDB/MotherDuck), declarative BI-as-code (Rill), and AI agent protocols (MCP) is creating a new architecture for business intelligence, one where dashb...
CLI-first is eating development. Email, calendarβthey all have CLIs now. Why not your business metrics?
For data/analytics engineers building with agents: DuckDB + MotherDuck + Rill give you an #agentfriendly, #localfirst frontendβexact context via SQL and YAML.
09.03.2026 14:23
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I just parse the notes as I have a second brain, and my blog is all locally. So it's very easy to see and check, plus I already have a graph view from my second brain, provided by Quartz (a framework for Obsidian notes publicly).
09.03.2026 13:16
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Great point - I just added a small weight to show notes that are multiple times linked or link forth-and-back are bold and are centered more.
09.03.2026 13:15
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All on the notion that the future of blogging is more connected.
09.03.2026 12:43
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And updated link management on my website and second brain, to better see internal (keep you on the page) and external links.
I hope you enjoy.
09.03.2026 12:43
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This is part of recent updates on my overall websites β e.g., added a graph to my patterns book too
bsky.app/profile/ssp....
09.03.2026 12:43
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backlinks and links on the interactive graph on https://www.ssp.sh/blog/linux-omarchy-the-good-bad-and-fixable/
I added an interactive graph for my blog posts too (collapsed by default) β so you see outgoing links to other posts, second brain, or backlinks brain visually at the end of every blog.
E.g., here is a recent Omarchy Linux article (see ssp.sh/blog/linux-o...).
What do you think?
09.03.2026 12:43
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Daylight savings, one of the hardest data engineering problems :)
09.03.2026 12:23
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I do that too. And for long-term tasks, I add them to my Todo-apps (no default reminder, no review - just adding them to be ready when I have time).
It's also about constraint. Most todo apps make it too easy to add todos, making it overwhelming. With AI auto-adding tasks, it's no better.
09.03.2026 08:36
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Cal Newport's suggestion: delete social media apps. Use the browser instead. You'll get fewer notifications, less tracking, and natural friction.
Better yet: try a 30-day sabbatical. See what you actually miss versus what you thought you'd miss.
07.03.2026 11:00
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The most advanced technology companies employ neuroscientists to make their apps addictive.
You are already addicted. The question is what to do about it.
ssp.sh/brain/digit...
07.03.2026 11:00
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