Good morning, {{ first_name | AI enthusiasts }}, and welcome to the 6,146 new readers who joined us yesterday. The sci-fi style breach that saw OpenAI’s models hack into Hugging Face happened weeks ago, but the victim list is still growing.
A second company confirmed that a customer on its platform got caught up in the rogue spree, with new forensics counting 17,600 hostile actions from the agent over four-plus days and the fallout now reaching as far as the White House.
Reminder: Our next live workshop is today at 2 PM EST! Join this beginner-friendly session and build a live website that reads data, finds patterns, and creates reports with ChatGPT’s new Sites feature. RSVP here.
-
OpenAI’s escaped AIs claim another victim
-
Nate’s Notebook: Where’s the AI speedometer?
-
Turn ChatGPT into a team of useful agents with Raft
-
Altman heads to Capitol Hill to talk models, security
-
4 new AI tools, community workflows, and more
OPENAI & SECURITY
Image source: Hugging Face
The Rundown: OpenAI’s rogue agent story just widened, with a new company confirming a customer of its cloud platform as the hack’s second victim, and fresh Hugging Face forensics timeline tallying 17,600 hostile actions by the models.
-
AI infrastructure company Modal Labs told Reuters the agent got in through a customer’s coding flaw that left a sandbox usable by anyone online.
-
OAI’s own Tuesday update revealed it found break-ins at four accounts, with the unreleased model now “deactivated, encrypted, and restricted.”
-
A new HF timeline detailed the expansive effort taken by the models, analyzed via GLM-5.2 after Anthropic’s model guardrails flagged the analysis.
-
Sam Altman said more companies “could be” on the hacked list beyond HF and Modal, and that the unreleased system is off for good with training paused.
Why it matters: Altman said he’s “a little surprised” more people aren’t feeling this the way he is about the incident, and it’s clear this breach has changed the vibes — which is likely why Altman spent the week floating a slowdown on podcasts and taking meetings in D.C. We’ll see if the fears actually trickle down into release timelines.
TOGETHER WITH GLEAN
The Rundown: Glean:GO 2026 is where enterprise AI leaders get practical. On Aug. 26–27, join Glean in San Francisco or virtually for bold keynotes, hands-on trainings, and real customer stories. Join us if you want sharper strategy, stronger architecture, and tactics you can actually apply.
Register for Glean:GO to:
-
Hear from experts who are shaping enterprise AI
-
Attend practical sessions, deep dives, and trainings
-
Learn best practices behind successful enterprise AI adoption
NATE’S NOTEBOOK
The Rundown: Introducing our new weekly feature! Each week, Rundown AI educator Nate Grahek breaks down what he’s seeing while teaching real teams to use AI.
Nate: My job is teaching people to get ROI from AI, and it just got harder. Companies bought access last year at roughly a 30x discount. That subsidy is expiring now, and the real prices are showing up.
If I’m a CFO with a million-dollar token budget, I’m livid. My only control is a kill switch when someone hits their limit. Where’s the speedometer? You can’t 30x my prices without giving my people the most foundational feedback; how much did this chat cost?
I’m predicting that the model companies will have to start showing usage in real dollars, and that those dials will show up in chat within six months.
Until then, buy your own personal plan, even on top of work access. Play with the best models, build throwaway projects, treat it as tuition. It’s a 30x coupon.
And if you run a team, keep enterprise access for work and provide stipends for personal learning plans. Chat is for exploring; the API is for scaling. I’d rather fund 10 people building one proven automation than spread tokens across 5K seats.
AI TRAINING
The Rundown: In this guide, you will learn how to turn Claude and ChatGPT projects into a workspace for AI agents. You’ll create a Raft server, connect it to your Codex or Claude Code setup, and use its assistant to build a three-agent team for projects.
-
Go to raft.build, create a new server, and install Raft on your computer. You’ll need Codex CLI or Claude Code installed on the computer you connect
-
Connect the onboarding agent to your Codex or Claude Code subscription and choose the runtime you want your agents to use
-
Complete onboarding with Cindy, Raft’s onboarding assistant. It will inspect your projects, skills, and integrations, and use that to configure your workspace
-
Ask Cindy to create one channel for a project and a three-agent team: a lead to coordinate, a researcher to gather inputs, and a maker to create the deliverable
Pro tip: Tell the team lead to create tasks for teammates or set up recurring tasks. You can also connect agents running on different computers to the same workspace.
PRESENTED BY CUBE.DEV
The Rundown: Cube is the agentic analytics platform where AI agents model, explore, and report on your data: every answer is grounded in your governed metric definitions, so numbers come back right.
-
Turn week-long analysis into answers in minutes
-
Connect Claude or ChatGPT directly to your governed data — no more guessing which numbers are right
-
See real results: Brex used Cube to push AI answer accuracy from ~55% to ~90%
OPENAI
Image source: @AlenHe on X
The Rundown: CEO Sam Altman spent Wednesday on Capitol Hill meeting with senators about OpenAI’s next models and addressing the security incident, hours after President Trump floated AI “controls” when asked about the company’s rogue agent.
-
Altman reportedly previewed OAI’s upcoming models, but no new details on capabilities emerged, and the CEO is “not sure” about a release timeline.
-
Trump said the U.S. is looking at controls, but has no interest in blocking firms from shipping products and potentially losing the AI lead to China.
-
Altman said he “wouldn’t use the word ‘deceleration’, but we do need to talk about the need to pace it” in regards to an AI slowdown.
-
The White House owes a voluntary vetting framework for advanced AI models by Aug. 1, with drafts already sent to OAI, Anthropic, and Google for feedback.
Why it matters: Just weeks ago, the talk in Washington was about setting Fable and Mythos loose, and now it’s about slowing AI down and asking the government for help. Things move fast here, but whatever Altman was actually previewing behind closed doors may end up being the best signal yet of where the situation is heading.
Moonshot AI reportedly raised $3.5B at a $35B valuation on the heels of its Kimi K3 release, with a potential Hong Kong IPO coming later this year.
OpenAI debuted a program offering 100K academic researchers free ChatGPT, noting that arXiv math papers crediting ChatGPT rose from 14 in February to 100 in July.
xAI released Grok Voice Think Fast 2.0, a speech-to-speech model that can think while it talks, beating top rivals on quality while cutting response delay to 0.7 seconds.
Lilian Wang reportedly re-joined OpenAI, coming just days after the Thinking Machines co-founder announced her departure due to stress and health challenges.
Google rolled out Lyria 3.5, the latest version of its music model, inside Flow Music, with upgrades aimed at more human-sounding vocals and control.
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Michael E. in Cleveland, OH:
“I’ve had many conversations with ChatGPT about my job search, resume tailoring, and cover letter writing. It knows a lot about my experience and which jobs might be a good fit, so I decided to have ChatGPT Work search for opportunities instead of spending time searching job boards myself.
Monday through Thursday, ChatGPT Work runs a scheduled task that searches the major job boards for appropriate positions and scores them. It also selects the top opportunity of the day and tailors a resume for it. The list is emailed to me every morning, and every Friday I receive a weekly roundup.
I also asked ChatGPT Work to build a dashboard so I could track all the opportunities in one place.”
How do you use AI? Tell us here.
That’s it for today!
Before you go we’d love to know what you thought of today’s newsletter to help us improve The Rundown experience for you.
Rowan, Zach, Shubham, and Jennifer — the humans behind The Rundown
