- Runway's Solaris previews AI era of interfaces
- AI catches heart disease in two seconds
- How to connect ChatGPT to iMessage
- Anthropic tests automated AI safety research
Image source: RunwayThe Rundown: Runway just introduced Solaris in early access, an “Interface World Model” that renders websites and apps as live video, with every frame drawn in real time as a user clicks and drags with no code running underneath.The details: - The system pairs Runway's Gen-4.5 video model with an LLM that reads each click or drag, decides what should happen, and prompts the next frames.
- Demos include a shirt try-on dragged from a virtual rack onto a photo, a salad built by dropping in ingredients, and an interactive combustion demo.
- In a Runway study, testers picked Solaris over pages coded by Claude Opus 5 in 71% of matchups judging in-scene behavior and 61% on instruction following.
- The company said the build still hit issues like text legibility, long session drift, and convincing-but-wrong screens, with Solaris heading into early access for testing.
The Rundown: 56% of consumers can spot AI-generated content. 40% say it's eroding their trust in your brand. To solve this, Corinthia Hotels built a 7-agent AI ecosystem to execute personalization across 5 personas, 14 lifestyle stages, over 75 behavioural signals, and 6,000+ content variants without sacrificing brand standards.Join Optimizely’s upcoming webinar on Oct. 7th to:- Hear how they hit a 100% brand approval rate, achieved 10x productivity, and saved 150+ hours
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Image source: British Heart FoundationThe Rundown: Imperial College London researchers introduced an AI model that reads a routine ECG in under two seconds, spotting heart failure and valve disease undetectable by doctors — with trials queued up ahead of a possible national rollout.The details:- Confirming the diseases previously meant a months-long queue for an ultrasound, even with hospitals running over 1B ECGs every year.
- The model was trained on 10.6M ECGs and tested on 65k patients, with AI flagging heart failure successfully in 81% of cases and valve disease in 90%.
- Imperial’s Prof. Fu Siong Ng said hospitals could eventually run the model over every ECG, potentially catching issues that weren’t even being screened for.
- The team is starting with a 590-patient trial at six hospitals, with a goal of incorporating the AI into routine National Health Service use within two years.
- Open the ChatGPT desktop app on your Mac. Click Plugins > search "Messages" > install the plugin, then allow Automation, Contacts, and Full Disk Access
- Start a ChatGPT Work chat and prompt: “Check my unread iMessages and let me know what I need to catch up on. Then text myself the recap.” Make sure you have your own saved as a contact
- ChatGPT will ask you for read access to each unread conversation. Use “for this query” or approve each conversation globally for the rest of the ChatGPT session
- You should receive a text from ChatGPT summarizing your inbox!
The Rundown: SonarQube provides strict standards to catch security vulnerabilities and tech debt across 40+ languages. Gitar’s AI complements this by reading your code context, identifying intent, analyzing root causes, and committing verified fixes directly to your branch.Gitar’s AI Code Review:- Identifies root causes, applies fixes, and keeps the deployment pipeline flowing
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Image source: AnthropicThe Rundown: Anthropic published new research where teams of Claude agents ran safety research on their own, successfully training away 10 kinds of AI misbehavior with results coming in over 4x better on average than human experts handed the same job.The details: - Claude worked on 10 common failure types, including sycophancy, deception, and jailbreaks, cycling through literature searches, training, and scoring.
- The fixes ranged from a 26% decrease in sycophancy to a 96% improvement for reward hacking, without lowering overall abilities.
- Six veteran safety researchers saw just a 20% fix on deception with the same conditions, while Claude averaged 85% across over 150 attempts.
- A weaker Claude Sonnet 5 also spent 60 hours safety-training a pre-release Opus 4.8 build, using 15,000x less data than Anthropic's own process
Fireworks - Train an open model to be better, faster, cheaper on your work*
OpenClaw 2.0 - Open-source personal agent, now with multiplayer sessions
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Muse Code - Meta’s terminal-based AI coding agent, now out of beta
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Hermes Agent - Nous' Pantheon update turns its agents into a group chat
- Read our last AI newsletter: OpenAI cuts out SpaceX-owned Cursor
- Read our last Tech newsletter: Inside Meta’s $18B teen crackdown
- Read our last Robotics newsletter: Hugging Face’s robot duck is already a hit
- Today’s AI tool guide: How to connect ChatGPT to iMessage
- RSVP to next workshop on Sept. 2: Build an AI OS for your employee 1-on-1s
Source: https://therundownai.beehiiv.com/p/runw ... e-internet