Welcome back, Superhuman. A new stealth model sparked a frenzy of speculation over the weekend. The model was released last Thursday with impressive capabilities — but no public owner, though many suspect Chinese lab Z.ai is behind it. Meanwhile, Nvidia’s latest warning just gave us all déjà vu.
Today: Anthropic makes Mythos 5 available, how to use iMessages directly inside ChatGPT, and get the latest prompts and trending social posts.
TODAY IN AI
1. Nvidia joins Amazon, Apple, and many others in raising prices: The chipmaker reportedly plans to raise prices by more than 15% on servers shipping in 2027, including its Vera Rubin and Grace Blackwell systems, per a Bloomberg report. The decision is likely due to the ongoing memory chip shortage, the same reason Amazon, Apple, and many other tech companies have hiked prices this year.
2. Anthropic makes its most powerful model available through Claude Security: Claude Mythos 5 now powers Claude Security, allowing Enterprise customers to point the cybersecurity-savvy model at codebases, scan for vulnerabilities, and make suggested fixes. The model’s rollout has been deliberately slow for safety reasons. Until now, Mythos was only available through Anthropic’s partnership program: Project Glasswing.
3. Legal AI startup Harvey releases its first post-trained model for law: Tenet is built for long-horizon legal work and optimized for token efficiency. The model is post-trained on top of Moonshot AI’s Kimi K3, a decision that signals an ongoing preference for open weight models, and is especially noteworthy considering OpenAI has been an investor in Harvey since 2022.
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FROM THE FRONTIER
Spirit Airlines’ assets are up for auction, but the bidding war isn’t over its planes

Spirit Airlines officially went out of business in May. While rival airlines quickly scooped up its airport slots, tech companies have been bidding on an asset they find much more valuable — corporate records dating back to 1986.
What’s at stake? Spirit’s data trove includes documents, workflows, spreadsheets, 100M emails, 500M Microsoft Teams messages, 7.5B anonymized transaction records, and much more (but notably not customer information).
Who’s interested? Mercor ($7.5M), Google ($10M), and Micro1 ($12.5M) have all submitted bids with the same motivation: using Spirit’s data to train AI models.
One company’s paperwork is an AI lab’s treasure
Spirit’s records represent a dataset that’s hard to come by: an immense written record of how a large enterprise got real work done for years. This information — which is based on actual decisions from real human professionals — is much more valuable when training AI to understand corporate workflows than generic examples found elsewhere.
What’s next? Google won the auction on Friday, but Micro1 came in with a higher bid after it closed. It’s uncertain whether the judge will accept the late offer. The whole process offers a lesson for employees. Be careful what you say in corporate comms — it could end up as training data for the next generation of LLMs.
IN THE KNOW
What’s trending on socials & headlines today

Meme of the day
🤖 Translating Claudish: The internet is so fed up with Claude’s talking style that one professor actually built a Claude translator. Just paste lengthy Claude responses and it’ll convert them into plain English, or vice versa.
🥇 Model Ranking: Prominent creator Theo Browne ranked his 15 favorite AI models in order. People must agree on its accuracy — the post racked up 2M views and 13K likes. Check out the ranking here.
🖌 Gettin’ Artsy: Someone hooked ChatGPT up to a receipt printer, letting it create and print art whenever it wants. Its first piece of work, Signal Garden, got 3.5M views for creatively blending technology and nature.
🐲 Soaring Around: Not only has AI-generated video gotten insanely realistic, but it’s also incredibly easy to direct. This viral clip shows a dragon soaring around the Golden Gate Bridge, and the entire shot was created by drawing one line across an image.
📸 No More Backgrounds: ChatGPT can now create transparent images — a small but mighty update if you use GPT Image for design work. Though the update is only available through the API for now.
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TUTORIAL
How to use iMessages directly inside ChatGPT

Source: Lance Whitney/ZDNET
Open ChatGPT Work or Codex on your Mac
Go to Plugins → Public
Find Messages and install the plugin
Once connected, use @Messages in your prompts to access your conversations
Ask ChatGPT to catch you up, find information, draft replies, or help manage conversations
Sample Prompts:
- Check my calendar and reply to [name] with a few times I'm free for dinner next week
- Suggest follow ups from yesterday in messages
- Find birthdays in @ messages and add them to my calendar
- Find potential spam messages I can delete
PROMPT
Identify Leadership Blind Spots
ChatGPT Prompt: You are identifying likely leadership blind spots from weekly behavior patterns.
Use the context below.
Context:
- Weekly behavior patterns or habits: [patterns]
- Calendar, task summary, or work distribution: [work]
- Recurring frictions or tensions: [frictions]
- Feedback snippets if any: [feedback]
- Team context: [team]
- Leadership role: [role]
Instructions:
1. Identify likely blind spots that emerge from the pattern of behavior, not isolated mistakes.
2. Distinguish between temporary overload and deeper leadership tendencies.
3. Explain how these blind spots could affect the team or organization.
4. Offer a few direct ways to test whether the diagnosis is true.
5. Keep the feedback candid but grounded.EXTRAS

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Until next time — Zain, Theodore, & the Superhuman AI team.





