The researchers say a newly found “J-space” holds Claude’s unspoken thoughts and “emerged on its own” during training — a structure that mirrors leading theories of how the human brain handles conscious thought.In today’s AI rundown:
- Anthropic finds a hidden workspace inside Claude
- Tencent open-sources small, powerful Hy3
- Build any mobile app idea in 15 minutes with Replit
- Kyutai’s AI dreams up a playable Rocket League
- 4 new AI tools, community workflows, and more
Image source: AnthropicThe Rundown: Anthropic just published research showing that Claude does its thinking in a small, internal “workspace” resembling what neuroscientists credit for human conscious access, with researchers saying the area wasn’t programmed but “emerged on its own.” The details: - Anthropic found ‘J-space,’ an internal area acting like Claude’s internal notepad, which holds active concepts the model uses and steers while thinking.
- J-Space is different from chain-of-thought text, with these internal hints staying off-screen even when they help direct Claude’s next answer.
- Editing the unspoken thoughts changes answers: swapping an internal “spider” pattern for “ant” during a question about legs flipped its response from 8 to 6.
- When J-space was deleted, Claude still chatted and recalled facts, but multi-step problem completion collapsed, showing where harder thinking happens.
The Rundown: Slack is the coordination layer where AI agents access conversational history, workflow signals, and business context — so they expand capacity instead of creating risk. New IDC research shows 66% of developers have already moved AI agents into production.In the white paper, you’ll discover:- Why context determines if AI agents succeed or fail
- How Slack reduces coordination overhead for developers
- Why Slack is built to orchestrate multi-agent work
Image source: TencentThe Rundown: Chinese tech giant Tencent’s Hunyuan just promoted its Hy3 model out of an April preview and into a full open-source release, with benchmark results that claim to rival “flagship open-source models with 2-5x parameters.” The details:- Hy3 only uses a small slice of its parameters to work on each request, letting it run on under half the hardware needed for Zhipu’s much larger GLM-5.2.
- GLM-5.2 still beats Hy3 across coding tests like SWE-bench, though Hy3 tops open rivals on web research and tool use in Tencent’s own testing.
- The release features a permissive Apache 2.0 license, avoiding regional bans of earlier Chinese models that left those in the EU, UK, or S. Korea locked out.
- Install the desktop app from replit.com/desktop, and download the Expo Go app to your phone (for app testing).
- Before building, define the smallest version that proves the idea. Here is the example prompt from the video: “Help me write a PRD for a playlist-themed Pomodoro app. I dictate tasks, AI turns them into Pomodoro sessions, and I can skip tasks like songs. Include design requirements, core features, and five simple names. Do not choose the tech stack.”
- Copy the PRD into Replit, choose the mobile app option, and ask Agent to build the first version. Keep it focused on the main flow, not login or payments.
- When the app is ready, open preview, scan the QR code, and run it through Expo Go. Tap the main screens and note what feels unfinished.
- Ask Replit for one targeted improvement, such as clearer confirmation copy or stronger trust signals. Preview again before adding features.
The Rundown: 87% use AI at work. Only 13% see a significant impact. Guest Lectures at Glean Academy returns for a third season, turning the Work AI Index 2026 into a practical, three-part series for leaders who want to close the performance gap. Hear AI researchers and experts at MasterCard, Target, Emory University, and more.In the series, you’ll learn:- How to avoid the hidden labor that AI creates
- How the best teams design effective human + AI routines
- What high-performance AI leaders are doing to set themselves apart
Image source: Kyutai and General Intuition The Rundown: Kyutai and General Intuition just released MIRA, an open-source world model built with Epic Games that runs live 2v2 Rocket League for four players — generated entirely inside a neural network with no game engine underneath.The details: - MIRA picked up the game from 10K hours of footage of AI bots playing each other, with zero human gameplay or player data anywhere in the training.
- Despite not having a physics engine or graphics code, MIRA renders details like boost meters and crashes, while keeping all screens in sync on a single GPU.
- Its memory only spans about four seconds, so when a goal replay rolls, MIRA hallucinates convincing footage of a goal that never actually happened.
- The game runs at 20 frames per second on a single Nvidia GPU, with the teams open-sourcing the code, training data, and a playable demo.
Hy3 - Tencent’s new open-source model for cheap, reliable agent deployment
Nano Banana 2 Lite - Google's high-volume image model that generates pictures in just four seconds
Seed Audio 1.0 - ByteDance's model for generating speech, music, and SFX in one pass
ZCode- Z AI’s agentic coding environment tuned for GLM-5.2
- Read our last AI newsletter: Meta sizes up GPT-5.5 with Watermelon
- Read our last Tech newsletter: Sony kills the game disc
- Read our last Robotics newsletter: This $8K robot can do your laundry
- Today’s AI tool guide: Build any mobile app idea in 15 minutes with Replit
- RSVP to next workshop on Wednesday: Create short form videos with AI
Source: https://www.therundown.ai/p/the-part-of ... body-built