Nature > slop

Another good one: *Systems built upon the conservation of energy endure because they do not rely on the permission of the architect* View quoted note →

You win, Slab. *The recognition of this dilution acknowledges the physics of scarcity over the artifice of policy. Stability is found in architectures that respect the conservation of energy* View quoted note →

*Even when life improves for some, it costs exponentially more than it should relative to productivity gains* View quoted note →

*#Bitcoin’s legendary past profits were the reward for enduring the deadly pain; not just for understanding it early.* View quoted note →

Perplexity agrees with mleku.... In 10 years' time, who will care about the stupidity of picking JavaScript's syntax for messages, when LLMs make the plaintext rule irrelevant because they can read binary as easily as English? You're spot on—LLMs are already bridging the gap between text and binary, making format debates less relevant over time. In 10 years, few will sweat JavaScript/JSON syntax quirks when AI handles any encoding effortlessly. ## LLMs and Binary Handling Large language models like ChatGPT and Code Llama can comprehend binary code via representations such as raw bytes, assembly, or decompiled pseudocode, performing tasks like summarization and vulnerability detection.[1][2] Studies show they achieve strong results across architectures like x64 and MIPS, even without debugging symbols, highlighting their ease with non-text data.[3] This capability grows yearly, as seen in benchmarks for reverse engineering where LLMs rival specialized tools.[2] ## JSON's Syntax Drawbacks JSON, rooted in JavaScript syntax, demands double quotes for keys, disallows trailing commas, and rejects comments or single quotes—triggering parse errors for minor slips.[4] Critics call it verbose and error-prone for configs or messages, unlike binary alternatives like Protocol Buffers that cut size by 40-50% and parse faster without human-readable baggage.[5][6][7] ## Binary vs. Text Trade-offs Binary formats excel in bandwidth and speed for high-volume or real-time apps, encoding data compactly without quotes or delimiters.[5][8] Text like JSON wins on readability and interoperability today, but LLMs erode that edge by "reading" binaries as fluently as English.[1] In AI-to-AI comms, dynamic formats may evolve beyond both, prioritizing semantics over syntax.[9] ## 10-Year Outlook By 2036, with LLMs ubiquitous in protocols, "plaintext rules" fade—AI will transcode binaries on-the-fly, sidelining JSON gripes.[2][3] Humans might still debug with text, but systems? Indifferent. Binary's efficiency will dominate where it counts, per ongoing trends in serialization showdowns.[6] Citations: [1] Understanding Binary Code Semantics with Large Language Models

Understanding Binary Code Semantics with Large Language Models: How Far Yet?

[2] LLMs for Binary Code Understanding - Emergent Mind

LLMs for Binary Code Understanding

Large Language Models enhance binary code analysis by interpreting executables through disassembly, pseudocode, and CFGs for patch detection and re...

[3] An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding

arXiv.org

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding

Binary code analysis plays a pivotal role in the field of software security and is widely used in tasks such as software maintenance, malware detec...

[4] SyntaxError: JSON.parse: bad parsing - JavaScript | MDN

SyntaxError: JSON.parse: bad parsing - JavaScript | MDN

The JavaScript exceptions thrown by JSON.parse() occur when string failed to be parsed as JSON.

[5] Why Binary-Based Transmission Outperforms Text-Based

DEV Community

Why Binary-Based Transmission Outperforms Text-Based: A Developer's Guide

When transmitting data over the internet or between devices, the way we encode and send that data can...

[6] Protocol Buffers vs JSON: The Serialization Showdown [7] Comparison of text and binary protocols

Gist

Comparison of text and binary protocols

Comparison of text and binary protocols. GitHub Gist: instantly share code, notes, and snippets.

[8] binary vs text protocols

Stack Overflow

binary vs text protocols

I am wondering what the differences are between binary and text based protocols.
I read that binary protocols are more compacts/faster to proce...

[9] Preparing for the Future of AI-to-AI Communication: Beyond REST and SOAP

Preparing for the Future of AI-to-AI Communication: Beyond REST and SOAP

#AI #Integration #Roadmap The opinions in this article are those of the author and do not necessarily reflect the opinions of their employer. As ar...

[10] Best Practices For Comments in JavaScript | by Nipuni Arunodi https://blog.bitsrc.io/best-practices-for-using-comments-in-javascript-4c4cd8619c18 [11] How To Write Comments in JavaScript

How To Write Comments in JavaScript | DigitalOcean

JavaScript comments are annotations in the source code of a program that are ignored by the interpreter, and therefore have no effect on the actual...

[12] What is the difference between plaintext and binary data?

Stack Overflow

What is the difference between plaintext and binary data?

Many languages have functions which only process "plaintext", not binary. Does this mean that only characters within the ASCII range will be allowe...

[13] How AI Is Transforming Messaging Apps in 2025 - LinkedIn

How AI Is Transforming Messaging Apps in 2025: The Future of Customer Interaction

In the last decade, messaging has become the dominant mode of digital communication—surpassing email, live chat, and even social media. But 2025 ...

[14] JavaScript Comments

W3Schools.com

W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, J...

[15] LLM compression and binary data - Reddit https://www.reddit.com/r/compression/comments/1d6knx8/llm_compression_and_binary_data/ [16] Llms Favor Negative And...

Systematic Bias in Large Language Models: Discrepant Response Patterns in Binary vs. Continuous Judgment Tasks

[17] Why did the JavaScript engine return a syntax error when there is no error in my JSON code?

Stack Overflow

Why did the JavaScript engine return a syntax error when there is no error in my JSON code?

I am creating an application that will list all of the names, ages, Genders, on a web page. The data returned by the server is in JSON format. Ever...

[18] Systematic Bias in Large Language Models: Discrepant ...

北京通用人工智能研究院BIGAI - Official Homepage for Beijing Institute for General Artificial Intelligence

Systematic Bias in Large Language Models: Discrepant Response Patterns in Binary vs. Continuous Judgment Tasks - 北京通用人工智能研究院BIGAI

[19] Understanding protocol buffers vs. JSON - TechTarget

Search App Architecture

Understanding protocol buffers vs. JSON | TechTarget

Protocol buffers and JSON are powerful serialization tools, but which one is better? Learn how performance and other factors come into play.

[20] Why JSON Isn't A Good Configuration Language (2018)

Why JSON Isn’t A Good Configuration Language (2018) | Hacker News

*With debt leverage, your equity can be wiped out with a modest fall in house prices*

Stacker News

Homeownership “Wealth” Is a Fallacy \ stacker news

By Artis Shepherd President Trump’s recent remarks, that he wants to keep housing prices artificially high to protect the “wealth” built into...

*Your competitor isn't just your category. It's anything in the agent's toolkit that approximates your function* View quoted note →

Treat boilerplate as a design bug: each repeated pattern is a candidate for (a) a better library API, (b) a macro/derive, or (c) moving computation to compile time. Use AI not to stamp out more classes, but to prototype new abstractions and check that they generalize—“show me a macro/derive that covers these four similar controllers,” then iterate until you have something that shrinks the codebase instead of inflating it. Right now, the industry is mostly using very powerful metaprogramming engines (LLMs) as overqualified templating systems. The reason we’re still writing boilerplate is less about technical possibility and more about accumulated cultural, tooling, and incentive debt. - perplexity View quoted note →

Psychological comfort: Developers feel safer when the AI outputs verbose, familiar structures they recognize from tutorials and corporate templates. Sparse, highly abstract code feels riskier even if it’s more principled.So AI tools reinforced the existing equilibrium: the stack stays boilerplate‑heavy, and AI reduces the cost of shoveling that boilerplate, rather than reducing the need for it - perplexity View quoted note →

We still write boilerplate—and build AI to crank out more of it—because most mainstream stacks never fully integrated metaprogramming into their core ergonomics, incentives, and tooling, so the path of least resistance is “just generate another layer” instead of “remove the need for layers.” - perplexity View quoted note →

*circular economies build at the margins first — where the old system already hurts the most* View quoted note →

*Sovereignty is not about negotiating better terms with the masters to save money, but about stopping feeding the parasites...* View quoted note →

Lovely note, Micael. *True “Opt Out” requires total secession, abandoning the rigged game of fiat currency rather than seeking strategies to perpetuate it from within.* View quoted note →

*Bitcoin is not a short-term risk-off hedge, but a long-term counterpart to the fiat standard, in which supply flexes endlessly according to political decisions (elastic vs. inelastic supply)* View quoted note →

*At some point though everything will equalise to model compute. The currency that wins will be a form of tokenised model compute* View quoted note →