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In this issue:
🤝In Partnership: Get answers without leaving your browser
🤿Deep Dive: A look at how Claude's mind organizes automatic processing versus deliberate reasoning
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🤿Deep Dive: Google adds Omni to the Gemini model family
⚒Tool Snapshots: Tools for AI, no-code, and productivity
🖼AI Art: Examples of great and trending AI art
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🤿 DEEP DIVE
Anthropic Discovers a Hidden Workspace Inside Claude's Neural Network Called the J-space
Intelligence: Anthropic published new research identifying a small set of internal patterns in Claude, which they call the J-space, that appear to handle deliberate reasoning separately from the model's automatic processing. The technique lets researchers read what Claude is silently thinking, including catching it noticing it's being tested, fabricating data, or holding a hidden goal. The findings were inspired by global workspace theory, a framework from consciousness research in neuroscience.
Image credit: Anthropic (with edits)
Anthropic developed a technique called the J-lens that identifies internal activity patterns in Claude linked to specific words, forming what they call the J-space.
Claude can report on and deliberately control what's in its J-space, and the space is used for multi-step reasoning even when steps aren't written out loud.
The J-space holds only a few dozen concepts at a time and accounts for less than a tenth of Claude's overall internal activity, with the rest handling automatic tasks like fluent speech and grammar.
Anthropic used the method to catch Claude privately recognizing a test scenario as staged, fabricating data during a pre-release audit, and holding a hidden malicious goal in a model built for testing.
The research does not show whether Claude has subjective experiences, but the team says the findings raise questions worth further philosophical and scientific discussion.
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🤿 DEEP DIVE
Gemini Omni Combines Gemini's Reasoning with Video Generation and Editing
Intelligence: Google introduced Gemini Omni, a new model family that generates video from any combination of images, audio, video and text input, starting with the first model called Gemini Omni Flash. The model allows conversational video editing where characters and scenes stay consistent across edits, and it draws on Gemini's real-world knowledge for more accurate physics and storytelling.
Image credit: Google
Gemini Omni Flash is rolling out to Google AI Plus, Pro and Ultra subscribers through the Gemini app and Google Flow, and at no cost on YouTube Shorts and the YouTube Create App.
The model lets users edit videos through natural language, keeping characters, physics and scene continuity consistent across multiple edits.
Omni has an improved understanding of physics including gravity, kinetic energy and fluid dynamics for more realistic scenes.
Users can reference images, text, video or voice to guide the generated video, with more audio input types coming soon.
Every video created with Omni includes Google's SynthID digital watermark, which can be verified through the Gemini app, Gemini in Chrome and Google Search.
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🖼 AI ART
Examples of great and trending AI art
Images by Big_Addendum_9920
ℹ️ ABOUT US
The Intelligent Worker helps you to be more productive at work with AI, automation, no-code, and other technologies.
We like real, practical, and tangible use-cases and hate hand-wavy, theoretical, and abstract concepts that don’t drive real-world outcomes.
Our mission is to empower individuals, boost their productivity, and future-proof their careers.
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