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Products that do what Hypathesis™ does
Structure what the literature says. Read only what matters.
- 1IM
I built this project as a way to learn more about NLP by applying it to something weird and unsolved. The Voynich Manuscript is a 15th-century book written in an unknown script. No one’s been able to translate it, and many think it’s a hoax, a cipher, or a constructed language. I wasn’t trying to decode it — I just wanted to see: does it behave like a structured language? I stripped a handful of common suffix-like endings (aiin, dy, etc.) to isolate what looked like root forms. I know that’s a strong assumption — I call it out directly in the repo — but it helped clarify the clustering. From…
2025 · github.com
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- 3OS
Hi all! This morning, we released a new Apache 2.0 licensed model on HuggingFace for detecting hallucinations in retrieval augmented generation (RAG) systems. What we've found is that even when given a "simple" instruction like "summarize the following news article," every LLM that's available hallucinates to some extent, making up details that never existed in the source article -- and some of them quite a bit. As a RAG provider and proponents of ethical AI, we want to see LLMs get better at this. We've published an open source model, a blog more thoroughly describing our methodology (and…
2023 · vectara.com
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- 5AS
Hi HN, I’m a former C++ dev turned Product Manager. I’ve noticed many engineers struggle with the "politics" side of things when they become Leads. To help with this, I’m building a text-based simulator. It is NOT an AI chatbot. It is a hand-crafted, branching narrative (logic tree) based on real experiences. I just launched the first scenario: "The Backchannel VP." The Setup: Your VP Engineering is bypassing you and giving tasks directly to your juniors, causing chaos. Your Goal: Stop the backchanneling without getting fired. It’s a short, specific puzzle. I’d love to know if you think the…
Jan 2026 · apmcommunication.com
- 6TC
Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!
Jun 2026 · atomprophet.io
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- 8TN
Hi guys, I’m excited to share an update on ReproModel, an open-source toolbox designed to streamline the testing and reproduction of machine learning models. I, like many of you, have really struggled with benchmarking and comparing models, from missing code, to opaque experiment parameters slowing the process. I decided to take matters into my own hands, and created a mini-toolbox in my free time to streamline the process. The goal is to reduce the time and effort spent on replicating experiments, enabling researchers to focus on innovation rather than setup. Knowing this task is not an…
2024 · github.com
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- 10AS
I’m experimenting with modeling tabletop RPG adventures as explicit narrative state rather than linear scripts. Everdice is a small web app that tracks conditional scenes and choice-driven state transitions to preserve continuity across long or asynchronous campaigns. The core contribution is explicit narrative state and causality, not automation. The real heavy lifting is happening in the DM Toolkit/Run Sessions area, and integrates CAML (Canonical Adventure Modeling Language) that I developed to transport narratives among any number of platforms. I also built the npm CAML-lint to…
Feb 2026 · github.com
- 11TA
We’re building TheorIA— an open, high quality dataset of theoretical physics results: equations, derivations, definitions, and explanations — all in structured, machine- and human-readable JSON. Why? Physics is rich with beautiful, formal results — but most of them are trapped in PDFs, LaTeX, or lecture notes. That makes it hard to: - train symbolic/physics-aware ML models, - build derivation-checking tools, - or even just teach physics interactively. THEORIA fills that gap. Each entry includes: A result name (e.g., Lorentz transformations) Clean equations (AsciiMath) Straightforward…
2025 · theoria-dataset.github.io
- 12WI
Hi HN! I've been exploring what happens when we treat code not as architecture but as a living ecosystem. Demo: https://nabolitains.github.io/plasma/ This started from a simple question: The slime mold Physarum can solve mazes without a brain. What if our code could similarly self-organize? The result is Plasma - computational cells that: - Metabolize energy from their environment - Reproduce with mutations - Form emergent colonies nobody designed - Die (and that's a feature) No ML, no complex algorithms. Just simple rules creating complex behaviors. The entire thing is…
2025 · nabolitains.github.io
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Multi-Model Agentic Workbench for Research in Computational Mathematics. - AniketWathore/Ramanujan
10h ago · github.com
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- 16MM
I love the idea of quantified self and recently decided to pull all of my data in one place. I pull all of my data from ActivityWatch, Wakatime, and Health Connect APIs :)
2023 · kshivendu.dev
- 17DO
Dynamiq is an orchestration framework for agentic AI and LLM applications
2024 · github.com
- 18MA
I'm interested in Buddhist philosophy, and specifically studying Nāgārjuna's Middle Way gave me inspiration to formalize it mathematically and see what would emerge as a result. (My background: engineer/co-founder (Qualcomm/Adreno GPU, Bumble, Stereo), 16 years of meditation practice, 2+ years in Southeast Asian monasteries and silent retreats) Starting from one Buddhist-inspired axiom—recursive duality E={E⁻,E⁺} - I derived: 1) Boolean logic (from period structure of minimal couplings) 2) Universal computation (closure enables Turing-completeness) 3) Memory (pattern persistence…
Jan 2026
- 19AT
We kept shipping “simple” LLM features that were fluent-but-wrong. After too many postmortems we wrote down the failure patterns and added a small reasoning layer in front of the model. It’s model-agnostic, sits beside your existing stack, and you can implement it from a single PDF (MIT). What’s inside the PDF A problem map of 16 failure modes we kept hitting in real systems (OCR/layout drift, table-to-question mismatches, embedding≠meaning, pre-deploy collapse, etc.). Four lightweight gates you can add today: Knowledge-boundary canaries (empty/adversarial/known-fact probes).…
2025 · github.com
- 20DC
I built an open-source system called Horaculo that analyzes coordination and divergence across financial news sources. The goal is to quantify narrative alignment, entropy shifts, and historical source reliability. Pipeline Fetch 50–100 articles (NewsAPI) Extract claims (NLP preprocessing) Generate sentence embeddings (HuggingFace) Compute cosine similarity in C++ (AVX2 + INT8 quantization) Cluster narratives Compute entropy + coordination metrics Weight results using historical source credibility Output structured JSON signals Example Output (query: “oil”) Json Copiar código { "verdict": {…
Feb 2026
- 21IW
Hey HN! Recently published a book developing new frameworks of meaning and value informed by our most advanced cosmology and physics. It makes the argument for the necessity of spiritual revolution in order to free the abundance trapped in the world, a reimagination that interlinks the spiritual project to systemic reformation. The inspiration for the text draws from my history of social impact work and the frustrations and lessons learned along the way. If it's of interest you can learn more/read it/download it in a variety of formats for free at https://singletruth.org.
2022
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- 23BY
Hi HN. We launched a free AI Coding Risk Assessment tool to help engineering teams and businesses benchmark the security and compliance posture of their AI coding workflows and policies against peers in the industry. This anonymous 24-question survey delivers: - A 0–100 risk score that measures your AI coding security posture - A live benchmark that compares your AI-assisted development practices with peers - A research-based checklist that identifies improvement areas We're seeing more and more clients signal their concerns about the sudden increase of source code written by AI coding…
Nov 2025
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