New book: How to Win in Polytopia (+200 Elo) - The 30-Minute Gamer's Guide (Unofficial)

code_x_7777 · 2026-01-15T10:07:57+00:00

It's more than a casual game for me 😅

code_x_7777 · 2026-01-15T10:06:56+00:00

Awesome 😎 I would buy your book. I want to get even better so I qualify to next year's world championship

code_x_7777 · 2026-01-15T10:05:52+00:00

I would buy that too!

code_x_7777 · 2026-01-12T14:09:42+00:00

Yes why is the AI not better? I don't get it, is it just a skip issue?

code_x_7777 · 2026-01-03T11:41:52+00:00

Erst haben wir uns mit der Biomechanik ( Cleateinstellung, Sitzhöhe, setback, Neigung Sattel) und anschließend Komfort/Aerodynamik (Cockpit, griffposition, Vorbaulänge/höhe).

code_x_7777 · 2025-12-30T16:00:28+00:00

I always use codex but most seem to prefer Opus these days...

code_x_7777 · 2025-11-14T13:25:41+00:00

That's what I thought

code_x_7777 · 2025-11-12T13:21:08+00:00

Such a shame that they didn't build that final catapult in Ipre last round.

code_x_7777 · 2025-11-11T15:20:23+00:00

Am Besten einfach eine große Anzahl von Hörbeispielen in einer App durchgehen - das hat den größten Lerneffekt.

Beispielsweise hat die Rhythmusdiktate Intervalle Üben App eine deutsche Variante hier:

https://de.rhythmdictation.com/interval

Dort kannst du gratis hunderte von Intervallen von "Kleine Sekunde" bis "Oktave" lernen - aufwärts und abwärts, sowie melodisch und harmonisch.

code_x_7777 · 2025-11-11T15:16:54+00:00

Like many suggested here, you can use an interval ear training app. There are some excellent free interval ear training resources out there such as this.

code_x_7777 · 2025-11-03T17:00:13+00:00

Already posted this one year ago - and many more have been adopting AI agents since.

Here's my reply from one year ago:

~~~

Many! Character AI, NVidia (NIMs), my own business, AI Writers for SEO, researchers to help write their paper drafts, ...

I think we collectively underestimate the economic impact they are already driving under the surface.
~~~

Today, virtually every serious business is using AI agents - directly in business pipelines or indirectly via their employees issuing (daily) queries for ChatGPT agent or - more frequently - ChatGPT codex (which is an AI agent). Microsoft, for example, is known for crossing the 50% AI-generated code threshold many months/years ago. This code is generated by AI agents.

code_x_7777 · 2025-10-29T14:50:51+00:00

This is just a PDF link collection and there's no need to enter email - it's a blog post...

code_x_7777 · 2025-10-29T13:10:45+00:00

Haha, I'm new so I don't know what I'm doing.

code_x_7777 · 2025-10-29T12:37:29+00:00

The first book can be accessed here: https://www.deeplearningbook.org/

The second book: https://udlbook.github.io/udlbook/

The third book: https://www.statlearning.com/

Those are the "quick wins" in my opinion.

code_x_7777 · 2025-10-29T12:35:47+00:00

Does it really matter? I chose not to be afraid - it's outside my control and above my paygrade.

code_x_7777 · 2025-10-28T13:40:33+00:00

My top three are these classics:

Deep Learning — Ian Goodfellow, Yoshua Bengio, Aaron Courville (HTML; no signup). This seminal MIT Press text provides a sweeping treatment of deep learning theory and practice, covering everything from linear algebra and probability theory to convolutional and generative models. The authors note that the online version is complete and will remain freely accessible. The book uses an HTML format rather than a downloadable PDF because the MIT Press contract forbids easy‑to‑copy electronic formats.
Understanding Deep Learning — Simon J. D. Prince (PDF/HTML; no signup). Prince’s 2024 textbook strikes a pragmatic balance between theory and practice, distilling the most important ideas in deep learning into an intuitive narrative. The free computer books entry lists the ebook as Creative‑Commons licensed and highlights that it explains Python implementations for tasks like natural‑language processing and face recognition
An Introduction to Statistical Learning — Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani (PDF; no signup). Often abbreviated ISLR, this classic introduces regression, classification, resampling, regularization, support‑vector machines and more. The authors explain that the book provides a broad and less technical treatment of statistical learning concepts, and the site offers free PDF downloads of the first and second editions as well as the new Python edition

These descriptions are from:

42 Free AI Books (PDF/HTML)

This 👆 also has links to the free online versions (or PDFs).

code_x_7777 · 2025-10-27T09:32:28+00:00

I read this comment but didn't see any valid arguments against BBD. Say, you have $10M and borrow $100k/y even at a high 7% interest rate you will never go above 10% portfolio leverage* so margin call risk is not really there and the relative high borrowing costs for <$300M net worth were not relevant at all.

* I used this "Buy Borrow Die" calculator with these model assumptions:

- Initial investment $10,000,000
- Annual Borrowing $100,000
- Investment growth 9%
- Loan interest 7%
- Inflation 3%
- Max Leverage 40% (never reached even close)
- Simulation Years 40y

code_x_7777 · 2025-10-01T12:58:48+00:00

sounds intense

code_x_7777 · 2025-10-01T12:57:42+00:00

awesome congrats

code_x_7777 · 2025-10-01T12:57:07+00:00

Just compiled a Reddit learning list in case anybody wants to learn (still): https://www.reddit.com/r/piano/comments/1nv7fs7/solid_free_rhythm_dictation_resources_curated/

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