Emergent Introspective Awareness in Large Language Models
An overview, summary, and position of cutting-edge research conducted on the emergent topic of LLM introspection on self internal states
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New machine-learning application to help researchers predict chemical properties
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule’s properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, they’re able to move forward with their work yielding discoveries that lead to medicines, materials, and more. Historically, however, the traditional methods of unveiling these predictions are associated with a significant cost — expending time and wear and tear on equipment, in addition to funds. Enter a […]
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2025 at Google
Learn more about Google’s launches, milestones and more from 2025.
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Zhipu AI Releases GLM-4.6V: A 128K Context Vision Language Model with Native Tool Calling
Zhipu AI has open sourced the GLM-4.6V series as a pair of vision language models that treat images, video and tools as first class inputs for agents, not as afterthoughts bolted on top of text. Model lineup and context length The series has 2 models. GLM-4.6V is a 106B parameter foundation model for cloud and high performance cluster workloads. GLM-4.6V-Flash is a 9B parameter variant tuned for local deployment and low latency use. GLM-4.6V extends the training context […]
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RAG Text Chunking Strategies: Optimize LLM Knowledge Access
Author(s): Abinaya Subramaniam Originally published on Towards AI. If retrieval is the search engine of your RAG system, chunking is the foundation the search engine stands on. Even the strongest LLM fails when the chunks are too long, too short, noisy, or cut at the wrong place. That is why practitioners often say: “Chunking determines 70% of RAG quality.” Good chunking helps the retriever find information that is complete, contextual, and relevant while bad chunking creates fragmented, out […]
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Expert Available: Why Do We Love Upsets in Sports But Fear Them in Tech?
As sports fans throughout the country gear up for rivalries and the playoffs this holiday season, Cato Institute senior fellow in technology policy Jennifer Huddleston’s new blog, titled What Sports Can Teach Us About Competition Policy, compares competition in sports to competition in the technology market: lead , “Competition doesn’t only exist on the field. It also exists in the market. So why then do we seem not to greet technology disruptors’ success with the same sense of pride and […]
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Most Replayed Moment: Confidence Can Be Taught! Use These Body Language Cues To Your Advantage!
Joe Navarro is a former FBI agent and one of the world’s leading experts in body language and nonverbal communication. In this Moment, Joe reveals the hidden signals behind body language and how to use nonverbal cues, such as posture and eye contact, to your advantage in business, relationships, and beyond. Listen to the full episode with Joe Navarro on The Diary of a CEO below: Spotify: https://g2ul0.app.link/01Qhc2kbPYb Apple: https://g2ul0.app.link/NwkCj5obPYb Watch the Episodes On YouTube:https://www.youtube.com/c/%20TheDiaryOfACEO/videos Joe Navarro: https://www.jnforensics.com/
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Rights Organizations Demand Halt to Mobile Fortify, ICE’s Handheld Face Recognition Program
Mobile Fortify, the new app used by Immigration and Customs Enforcement (ICE) to use face recognition technology (FRT) to identify people during street encounters, is an affront to the rights and dignity of migrants and U.S. citizens alike. That’s why a coalition of privacy, civil liberties and civil rights organizations are demanding the Department of Homeland Security (DHS) shut down the use of Mobile Fortify, release the agency’s privacy analyses of the app, and clarify the agency’s policy […]
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AI Maps Titan’s Methane Clouds in Record Time
Methane clouds on Titan, Saturn’s largest moon, are more than just a celestial oddity — they’re a window into one of the solar system’s most complex climates. Until now, mapping them has been slow and grueling work. Enter AI: a team from NASA, UC Berkeley and France’s Observatoire des Sciences de l’Univers just changed the game. Using NVIDIA GPUs, the researchers trained a deep learning model to analyze years of Cassini data in seconds. Their approach could reshape […]
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