In partnership with
MASTER AI FOR FREE
285 Free Prompts to Save Time
Your inbox isn't the problem. Neither are your meetings. It's the hours you spend on work AI could do in minutes.
285 copy-paste prompts: built for email, meetings, admin, and delegation. Each one has a clear role, a specific task, and a defined output.
No setup. No prompt engineering. Just copy, paste, and get your time back. Free when you subscribe to Mindstream.
Welcome back to BrainBuzz
Today’s Recipes:
🚨 Claude is Very Close to Self-Building AI...
🛰️ Google’s AI Is Now Working From Orbit
🧩 DeepSeek Harness Adds Creator Mode
New York Times Takes Brave to Court
Anthropic Prepares Claude Mythos 5.5
Apple Watch Can Now Recap Your Conversations
AI Tutorial of the Day
And More….
LATEST DEVELOPMENTS
In its updated IPO filing, Anthropic warned it may soon hit its own threshold for AI that dramatically speeds up its own development, a step toward recursive self-improvement (RSI).
Details
What RSI is: Recursive self-improvement is when AI gets so good at improving itself that capabilities accelerate dramatically. Optimists see a huge productivity and science boom. Doomers fear AI that grows beyond human control.
The warning: In new risk factors in its revised S-1 filing, Anthropic said its internal estimates for future models suggest it may soon meet its Responsible Scaling Policy’s definition of “dramatically accelerated progress attributable to AI.”
A surprising admission: Anthropic said it has, in the past, failed to spot a significant jump in its development speed until after it happened, and may miss one again. Using AI to build AI could outpace its ability to put safety measures in place.
No threshold crossed yet: Anthropic says none of its current models have passed this line. It doesn’t expect to safely let Claude fully design future models without meaningful human oversight, and it’s considering updating its safety policy to keep humans in control.
The skeptics: Critics note that an IPO filing is part disclosure, part marketing, and claims of near self-building AI could serve both purposes.
Takeaway: Self-improving AI is moving from science fiction into legal disclosures. Whether it’s a real warning or IPO hype, it puts pressure on regulators and labs to decide how much AI should help build the next AI.
Google’s Project Suncatcher satellite ran its Gemma 4 model on a data-center-class TPU in orbit and sent back a haiku about space, an early step toward solar-powered AI data centers in space.
Details
The milestone: Google says its Project Suncatcher prototype sent back “the first-ever AI response from a data center class TPU in orbit.” The onboard chip ran Google’s Gemma 4 open model and wrote a short space-themed haiku.
The satellite: Built with Planet and launched October 1 on a SpaceX Falcon 9, it carries four of Google’s Trillium TPUs. After about three weeks of setup, the first prompt was answered as the satellite passed over Svalbard, Norway.
The limits: Solar power is so limited that only one chip can run at a time, for about 20 minutes. This is a survival test, not a working data center.
What’s being tested: Over about a year, Google will study how the chips handle extreme heat and cold and radiation, which can silently corrupt data, without Earth-style cooling.
The big goal: Space-based solar panels can be up to 8x more productive than on Earth. If the test works, Google plans two more satellites in 2027 with more power and laser links, eventually aiming for constellations of satellites working as one data center.
Takeaway: AI’s biggest bottleneck is now electricity, not chips. Google’s haiku from space is small, but it’s a real first step toward moving AI computing off Earth to tap nearly endless solar power.
DeepSeek added Creator Mode to its open-source DeepSeek Harness agent app, letting users build working plugins, from 3D visualizers to video editors, just by describing them in plain English.
Details
What’s new: DeepSeek launched Creator Mode on November 2 for DeepSeek Harness, its open-source AI agent platform. Users describe what they want in plain English, and the agent builds an installable plugin.
What you can build: DeepSeek showed off a design workspace, a sandbox game, a 3D AI model visualizer, 3D model rendering and a video editing workbench. In one demo, it built and installed a floating Pomodoro timer in about 5.5 minutes from a one-line request.
How it works: Harness is built so that “everything is a plugin,” including tools, skills and parts of the interface. Creator Mode lets the agent write, test and install those plugins itself.
Safety warning: Plugins are real code, and Harness is still an experimental developer preview. DeepSeek recommends running it in a disposable virtual machine, keeping backups and reviewing plugins before they run.
The bigger race: It comes just days after DeepSeek released its Super-Agent coding prototype. Its Harness team was formed this year to compete with AI coding tools from US rivals like Anthropic.
Takeaway: The agent race is shifting from AI that uses tools to AI that builds tools for you. DeepSeek is betting that letting users invent their own features will help its open-source platform catch up with US rivals.
Together With
Meet your team’s new overachiever.
Laptops built for workday breakthroughs.
Stay productive, grow your business. With built-in intelligence on the Dell Pro laptop powered by Intel® Core™ Ultra with Intel vPro®.
NEWLY LAUNCHED AI TOOLS
Teamily AI Your personal agent, agent teams & people in one messenger
Videco Turn every video into a content campaign with AI
MachineMail Real inboxes for AI agents, with trust built in
LifeVal OpenAI's benchmark for everyday life tasks with AI
NEXUPIRA AI teammates that hand back finished work
MORE AI & TECH UPDATES
The New York Times has sued Brave Software, the maker of the privacy-focused Brave browser, accusing it of scraping paywalled journalism and selling access to it to AI companies…
Anthropic may be getting ready to release Claude Mythos 5.5, according to AI leak tracker TestingCatalog. Anthropic hasn’t confirmed anything…
Apple’s “Audio Intelligence” features for the Apple Watch are now in developer beta with iOS 27.3. Apple first announced them at its September hardware event…
Goldman Sachs has cut off most of its employees from advanced AI coding tools, including Anthropic’s Claude Code and Microsoft’s GitHub Copilot. According to Bloomberg, which cited internal guidelines from October, only engineers can still use them…
POLL OF THE DAY
HOW TO AI
This course, "AI for Business: Generation and Prediction," dives into the foundations and practical applications of Generative AI in a business context. You'll explore the history of AI, learn how to leverage Generative AI for content creation and financial forecasting, and understand the ethical implications of AI in the business world.
Key Benefits of This Course:
Promote Critical Thinking: Analyze the historical evolution of AI and Generative AI.
Identify Advantages: Differentiate between various generative AI models and pinpoint their strengths across different frameworks.
Implement Strategies: Construct effective strategies for integrating generative AI applications into your business environment.
Illustrate Advantages: Understand the practical advantages and benefits of implementing generative AI in real-world business scenarios.
THAT’S A WRAP
Thank you for Reading my Newsletter.
If you want to promote your AI Tool, courses, or product in my newsletter,
Please email me at: [email protected]
