AI · alternatives · 2026

24 alternatives to Steganographically encode messages with LLMs and Arithmetic Coding

Good morning HN! For a while now I have been toying with this idea and now finally have a working prototype. This project allows you to encode secret messages into ordinary looking text by using arithmetic coding with a probability model derived from an LLM. By encrypting the message and then decompressing the encrypted message using the arithmetic coder, you get output which looks just like randomly sampled output from the LLM. Except, it actually encodes your secret messages in the specific choices of tokens. By using authenticated encryption, only a user who knows the key can know that a…

This project enables users to hide encrypted messages within seemingly normal text generated by language models through arithmetic coding. The technique combines LLM probability models with encryption to embed secret… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
I built a tiny LLM to demystify how language models work▲915
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
Apr 2026 · github.com · its alternatives →
2
Send Secret Messages over Twitter as Public Tweets▲128
This is a text steganography application optimized for use on Twitter, written in Clojure. - dpapathanasiou/tweet-secret
2013 · github.com · its alternatives →
3
Llama 3.2 Interpretability with Sparse Autoencoders▲579
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
2024 · github.com · its alternatives →
4
Cipher by Byterover▲341
Open-source, shared memory for coding agents
2025 · byterover.dev · its alternatives →
5HL
How LLMs Work – Interactive visual guide based on Karpathy's lecture▲245
All content is based on Andrej Karpathy's "Intro to Large Language Models" lecture (youtube.com/watch?v=7xTGNNLPyMI). I downloaded the transcript and used Claude Code to generate the entire interactive site from it — single HTML file. I find it useful to revisit this content time to time.
Apr 2026 · ynarwal.github.io · its alternatives →
6
Stegveil▲3
Hide secret messages inside LLM-generated text.
Jun 2026 · stegveil.dev · its alternatives →
7VI
Visual intuitive explanations of LLM concepts (LLM University)▲303
Hi HN, We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. It's available for free with no sign-up needed and it includes text articles, some video explanations, and code examples/notebooks as well. And we're available to answer your questions in a dedicated Discord channel. You can find it here: https://llm.university/ Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a…
2023 · its alternatives →
8
Stun LLMs with thousands of invisible Unicode characters▲206
I made a free tool that stuns LLMs with invisible Unicode characters. *Use cases:* Anti-plagiarism, text obfuscation against LLM scrapers, or just for fun! Even just one word's worth of “gibberified” text is enough to block most LLMs from responding coherently.
Nov 2025 · gibberifier.com · its alternatives →
9
TurboQuant▲295
New LLM compression algorithm by Google
Mar 2026 · research.google · its alternatives →
10
I made a steganography program▲56
A text/image steganography program with GUI and choice of LSB quantity. - JHurst97/SteganograhyProject
2020 · github.com · its alternatives →
11
Cipheroji▲185
Encrypting text to emoji
2024 · sergeykushner.github.io · its alternatives →
12
Text in Code▲68
Fun way to encode messages using symbols and emojis
2018 · apps.apple.com · its alternatives →
13
LLMs can be susceptible to a new kind of malware▲17
New ways of breaking app-integrated LLMs . Contribute to greshake/llm-security development by creating an account on GitHub.
2023 · github.com · its alternatives →
14
SpeakingJpg – Hide encrypted text messages inside jpeg images▲34
A nonsense way to hide encrypted text messages inside jpegs - WolframHempel/speaking-jpg
2017 · github.com · its alternatives →
15
MaskLLM▲132
Mask your LLM APIs for secure rotation and logging
2025 · maskllm.com · its alternatives →
16
Stegmoji▲14
Hide secret messages in plain text using invisible Unicode.
2025 · chinmay29hub-stegmoji.vercel.app · its alternatives →
17
An Elliptic Curve-Based Secure Chat, Written Using Rust and Protobuf▲66
This is a project I made to learn more about crypto. I've also written a [post](https://vaktibabat.github.io/posts/ecurvechat/) that explains all the crypto concepts and algorithms used in the project, and how I implemented them. I'd be very glad for any feedback about both the code and the post :)
2024 · github.com · its alternatives →
18
ChatGPT App That Solves LLM Randomness Problem No One Talks About▲8
Solve the LLM randomness problem with cryptographically secure entropy. Fair giveaways, random number generation, and unbiased selections for ChatGPT.
Dec 2025 · random-app.keenethics-labs.com · its alternatives →
19
LLM Verified with Monte Carlo Tree Search▲102
This is a weekend hack that I'd like to further develop as it's working surprisingly well. Using MCTS, we can explore a space of possible verified programs with an LLM. We check the partial programs at each step, and so steer towards programs that pass the verifier. https://github.com/namin/llm-verified-with-monte-carlo-tree-...
2023 · github.com · its alternatives →
20
Fine-grained stylistic control of LLMs using model arithmetic▲85
We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.
2023 · github.com · its alternatives →
21
Unicode Steganography▲59
I built a demo of two Unicode steganography techniques, zero-width characters and homoglyph substitution, in the context of AI misalignment. The first is about the use of two invisible zero-width characters (ZWS and ZWNJ) to binary encode text. The second is much cooler. Most characters in the Latin and Cyrillic alphabets look nearly identical, but have different unicode. If you have text to encode and convert it into binary representation (1s and 0s), you could take plain english "carrier" text and for each 1 in the binary representation you could substitute the Cyrillic letter equivalent.…
Apr 2026 · steganography.patrickvuscan.com · its alternatives →
22
LLM, a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)▲45
G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com · its alternatives →
23
I trained a 65B LLM on my texts to talk to myself (details inside)▲13
I trained the 65b model on my texts so I can talk to myself. It's pretty useless as an assistant, and will only do stuff you convince it to, but I guess it's technically uncensored? I'll leave it up for a bit if you want to chat with it. I posted this to Reddit and had several hundred people talking to it. Salient points from that discussion: LLAMA 1 65b Rank 128 5 epochs Batch size 1, 256 cutoff Trained in the Oobabooga suite using bitsandbytes 4-bit quantization for the lora Loss around 1.5 seems to give the most coherent results Trained on raw text dumps that is then parsed by a crappy…
2023 · airic.serveo.net · its alternatives →
24
An application stack Claude coded directly in LLVM IR▲10
This repo is the result of a debate about what kind of programming language might be appropriate if humans are no longer the primary authors. Initially the thought was "LLMs can just generate binaries directly" (this was before a more famous person had the same idea). But that on reflection seems like a bad approach because languages exist to capture program semantics that are elided by translation to machine code. The next step was to wonder if an existing "machine readable" program representation can be the target for LLM code generation. It turns out yes. This project is the result of…
Mar 2026 · github.com · its alternatives →

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