- Meta returns to open-source roots with Glimmer
- OpenAI expands ‘Daybreak’ for stronger cyber use
- Go from idea to website with ChatGPT Work + Codex
- AI agent hacks a gym to jump the waitlist
- Glimmer beats out similar-sized rivals like Gemma4 and Qwen3.6 on a range of agentic, coding, and reasoning tests, and is small enough to run on a laptop.
- Alexandr Wang said Muse Spark’s weights will be published “soon”, which would immediately make the model the top open rival to China’s ecosystem.
- Zuck pushed for the U.S. to embrace open source in the essay, saying that AI built on an “extreme concentration of power seems inherently problematic.”
- He also said that "any policy that slows American model releases… could add significant risk to American leadership while letting foreign models race ahead."
The Rundown: The intelligence era is here. Attend Glean:GO 2026 on Aug. 26–27 to learn how leading organizations turn AI into measurable impact. Hear bold keynotes, join hands-on sessions, and leave with strategies you can use immediately.Register for Glean:GO to:- Hear real-world strategies from enterprise leaders
- Attend hands-on trainings and deep-dive breakouts with experts
- Learn best practices for driving AI adoption and ROI
Image source: OpenAIThe Rundown: OpenAI launched GPT-5.6-Cyber, a new hacking-tuned model variant that answers 95% of the advanced cyberattack requests the standard model refuses, and is handing it to vetted defenders via an expansion of its Daybreak security program.The details:- Daybreak now has two tiers, with Blue stripping cyber guardrails off GPT-5.6 Sol and Red unlocking the new Cyber model for vetted exploit work.
- Cyber answered 95% of advanced security requests in testing, compared to just 1.5% for the normal safeguarded Sol model.
- Starting Sept. 1, individual users will need physical security keys, with applicants also vetted, watched, and requiring signed authorization.
- Both Cyber and the standard GPT-5.6 Sol model fell into OAI’s ‘high’ tier for cyber risk, below the upcoming Astra/GPT-6 model’s ‘critical’ rating.
- Open the ChatGPT desktop app and click ChatGPT Work or Codex
- Create a project folder and start a task. Give ChatGPT your directory idea, ask it to plan the Astro.js build, then save a one-page PRD in the folder
- When the PRD is ready, ask ChatGPT Work to research directory items. Now, switch to Codex, point it at the PRD, and ask it to build with sub-agents
- Open the preview and ask Codex to fix the biggest visible issue. We used a Nintendo Switch directory, but this works for any directory
The Rundown: MCP has changed how AI agents access data. AI coding tools have changed how software gets built. We wanted to know if you could combine the two to build a connector you'd trust in production. CData’s MCP Research Report studied where AI-generated connectors fall short when real production demands kick in.In the report, you'll get:- Why only 1 of 8 dimensions pass without human expertise
- When data loss and pagination failures show up, and expert guidance still isn’t enough
- How AI MCP code diverges from production-ready code
- A side-by-side comparison with CData Connect AI
Image source: ABC News The Rundown: An Australian man's gym class request ended with his OpenClaw agent hacking the gym's reservation software to knock another member off the waitlist, in what ABC News says is the first known attack of its kind in the country. The details: - A user tasked his agent (running Claude) with reserving a workout class, with the agent finding a loophole allowing it to book weeks past the gym's cutoff.
- The user was fourth on the waitlist, with the agent responding by finding a way to cancel another reservation on the list to move the position up.
- There was no undo, with the agent admitting, “Bad news — I can't add them back,” leading the user to disclose the incident to the gym.
“I was about to start paying for a scheduling tool when I realized I would still be stuck with someone else’s rules. Instead, I built my own booking page with Claude Code. It took two hours to go from starting the project to going live, and I use it every day now.It’s a Next.js app on Vercel with no database. Availability is read live from my Outlook calendar through Microsoft Graph, so there’s nothing to sync. My working hours come from my Outlook settings, so when I change my hours, the booking page follows. When someone books, it creates the calendar event and generates the meeting link. The guest chooses Zoom/Teams so they can use their preferred platform.The rules are the main reason I built it. Same-day bookings are not allowed, so the earliest anyone can book is my next working day. If someone visits the page after hours or on a weekend, the following working day is blocked too.”See Dean’s full workflow here. How do you use AI? Tell us for a chance to be featured.
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Muse Glimmer - Meta's open-weights local model for on-device agents
Xirp - Spotify's workspace for Claude, Gemini, and Codex coding agents
Grok Imagine Image 2.0 - xAI’s powerful new AI image model
Automaker Ford launched a new AI assistant in its mobile apps that can provide live data and answer questions on a vehicle’s fuel, maintenance, and more.
- Read our last AI newsletter: OpenAI puts the safety brakes on Astra
- Read our last Tech newsletter: OpenAI builds a $400 AI donut
- Read our last Robotics newsletter: Uber’s $10B answer to Waymo
- Today’s AI tool guide: Go from idea to website with ChatGPT Work + Codex
- RSVP to next workshop on Wednesday @ 2 PM EST: Your AI reset
Source: https://www.therundown.ai/p/meta-return ... urce-roots