# KnowEntry

> KnowEntry is a 24/7 AI news aggregator and sector intelligence platform. It aggregates AI news continuously from established publishers across six categories. It also produced Canary 2.0 - a research project that ran from February to June 2026, applying quantitative sentiment analysis and narrative monitoring to the AI sector. A second concluded research project, Fathom, tested whether processing complexity - a quantity from the philosophy of mind - can be measured in physical and artificial systems.

KnowEntry has three distinct components: a news aggregator updated every 10-60 minutes around the clock, and the archived output of two completed research projects - Canary 2.0 and Fathom - whose methodology, results, and conclusions are documented on this site.

## News Sections

- [General AI](https://knowentry.com/): Broad AI news from publishers including The Verge, ZDNet, The Guardian, The Register, Fortune, and Fast Company. Updated every 10-60 minutes.
- [Academic Institutions AI](https://knowentry.com/academic-institutions-ai/): AI research from MIT, IEEE Spectrum, MIT Technology Review, and other academic and research-focused publishers.
- [Big Tech AI](https://knowentry.com/big-tech-ai/): AI news and announcements from Apple, Meta, Amazon, Microsoft, Google, and NVIDIA.
- [Technical & Research AI](https://knowentry.com/technical-research-ai/): In-depth technical AI content for practitioners covering model architectures, inference, agent frameworks, and applied research.
- [AI Funding News](https://knowentry.com/ai-funding-news/): Investment rounds, valuations, and capital flows into AI companies.
- [YouTube AI News](https://knowentry.com/youtube-ai-news/): Curated content from high-quality YouTube channels covering AI and machine learning.

## Canary 2.0 - Concluded Research Project

Canary 2.0 was a personal research project that ran from February to June 2026. It scored AI sector news articles daily using Claude Haiku, computed sentiment across six industry categories, and developed the Semantic Volatility Index - an open-research composite indicator for detecting narrative regime shifts. The project concluded on 4 June 2026 following completion of its pre-registered hypothesis test.

Canary 2.0 was an open research project. The methodology, sub-components, and calibration approach are publicly documented. There was no commercial product, no licence, and no proprietary system.

- [Project Conclusion and Final Report](https://knowentry.com/canary-conclusion/): The complete final report. Pre-registered hypothesis test results (null result - no significant relationship found between sentiment changes and next-day returns), what the SVI detected during live operation, what was learned, and why the project concluded. A follow-up study is in the planning stage.
- [How Canary Works](https://knowentry.com/how-canary-works/): Full explanation of the methodology - LLM-based article scoring, relevance weighting, statistical significance testing, and narrative frame classification.
- [Canary Dashboard](https://knowentry.com/canary-dashboard/): The final state of the dashboard as of 4 June 2026. No longer updating. Six AI sector categories with 95% confidence intervals, statistical significance flags, a 14-day heatmap, narrative frame distribution, and the Semantic Volatility Index.
- [Canary Sentiment Scores](https://knowentry.com/canary-sentiment-scores/): Explanation of the -1 to +1 scoring scale, relevance weighting, confidence intervals, and significance testing.
- [Canary Narrative Frames](https://knowentry.com/canary-narrative-frames/): Eight mutually exclusive narrative frames: Growth Momentum, Technical Breakthrough, Financial Results, Regulatory Risk, Geopolitical Risk, Competitive Threat, Market Correction, and Macro Environment.
- [Semantic Volatility Index (SVI)](https://knowentry.com/semantic-volatility-index/): An open-research early-warning indicator (0-100) aggregating five sub-components - Sentiment Volatility (SC1), Within-Day Dispersion (SC2), Narrative Shift (SC3), Vocabulary Drift using Jensen-Shannon Divergence (SC4), and Frame Distribution Shift using Jensen-Shannon Divergence (SC5). Not a proprietary or commercial system.
- [AI Sector Sentiment Tracker](https://knowentry.com/ai-sector-sentiment/): Overview of what AI sector sentiment means and how Canary tracked it.
- [Canary FAQ](https://knowentry.com/canary-faq/): Answers to common questions about Canary methodology. Includes confirmation that the pre-registered hypothesis test found no significant relationship between sentiment changes and next-day stock returns, and that the SVI is open research, not proprietary.

## Fathom - Concluded Research Project

Fathom was a personal research project that set out to measure a single quantity: how far a system draws its own past together into its present, the proxy the essay Consciousness and Complexity uses for processing complexity. It built an instrument called delta-AIS, calibrated it against systems whose answers were already known, and applied it to a large language model across its entire training, from a random start to a competent model. The project concluded with a clean but inconclusive result: the instrument's clearest finding was the precise point at which this kind of measurement stops working.

Fathom was an open research project. Its hypotheses, methods, significance thresholds, and the meaning of every possible outcome were written down and sealed before any data was analysed. There was no commercial product, no licence, and no proprietary system.

- [Fathom: Measuring Processing Complexity](https://knowentry.com/fathom/): Overview of the project - the essay it tests, the quantity it measures, the decisive test, and what the result does and does not settle.
- [Fathom Method: The delta-AIS Instrument](https://knowentry.com/fathom-method/): The methodology in full - active information storage, IAAFT surrogates, the z >= 3 significance threshold, median-across-parts reading, and the pre-registered analysis plan sealed before analysis.
- [Fathom Results and Conclusion](https://knowentry.com/fathom-results/): The decisive test and its outcome - delta-AIS fell silent on the trained language model - with the full results table, the significance figures, and what the limit does and does not show.
- [Fathom Glossary](https://knowentry.com/fathom-glossary/): Plain definitions of the key terms - processing complexity, delta-AIS, active information storage, surrogates, z-scores, certifiability, and pre-registration.
- [Fathom FAQ](https://knowentry.com/fathom-faq/): Direct answers on what Fathom tested, why the result was inconclusive, the difference between a quantity not being there and not being measurable, and how it connects to the essay.

## About

- [About KnowEntry](https://knowentry.com/about-knowentry-com/): KnowEntry is maintained by Roger. The site uses no cookies, no tracking beyond anonymous analytics, and no advertising.
- [Privacy Policy](https://knowentry.com/privacy-policy/): No cookies. No personal data collected.

## Optional: Full Content

- [Project Conclusion and Final Report - full](https://knowentry.com/canary-conclusion/)
- [How Canary Works - full](https://knowentry.com/how-canary-works/)
- [Semantic Volatility Index - full](https://knowentry.com/semantic-volatility-index/)
- [Canary Narrative Frames - full](https://knowentry.com/canary-narrative-frames/)
- [Canary Sentiment Scores - full](https://knowentry.com/canary-sentiment-scores/)
- [Fathom: Measuring Processing Complexity - full](https://knowentry.com/fathom/)
- [Fathom Method - full](https://knowentry.com/fathom-method/)
- [Fathom Results and Conclusion - full](https://knowentry.com/fathom-results/)
- [Fathom Glossary - full](https://knowentry.com/fathom-glossary/)
- [Fathom FAQ - full](https://knowentry.com/fathom-faq/)