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Welcome to another edition of AI PlanetX.
ChatGPT 5.5 hits PhD-level math research; Nvidia races into $40B in AI deals as OpenAI’s chip ambitions face an $18B Microsoft decision.
Inside This Edition: 💎
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Automate Coding Tasks with Jules
Top AI & Tech News
AI Art Spotlight
Resource of the Day: GitHub Repos That Package Genius
Featured AI Video
Weekly Creator Playbooks to Grow on Social
Hottest AI News
OpenAI
ChatGPT 5.5 Pro Just Delivered PhD Level Math Research
ChatGPT 5.5 Pro may have just crossed a major line in AI research. Fields Medalist Timothy Gowers says it produced PhD-level math work in under two hours, with almost no human guidance.
Details:
It worked on open number theory problems and improved existing mathematical bounds. In one case, it found a stronger construction in just over 17 minutes
The AI then turned the solution into a LaTeX-style research preprint. Gowers checked the work and said his own mathematical contribution was basically zero
A young researcher involved called one key idea original and impressive. But the bigger lesson is not hype. AI is getting better at real research, but humans still need to verify, guide, and judge the work
This does not mean AI replaces mathematicians tomorrow. It means the future of research may become human plus AI, where the real skill is knowing what to ask, check, and build next.
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Nvidia
Nvidia Has Already Committed $40B To AI Deals This Year
Nvidia is not just selling AI chips anymore. It is also becoming one of the biggest investors in the AI economy, with over $40B already committed to equity AI deals this year.
Details:
A huge part of that comes from Nvidia’s $30B investment in OpenAI. But the company has also announced multi-billion dollar deals with public companies like Corning and IREN
Nvidia has already joined around two dozen private startup funding rounds this year. Last year, it was part of 67 venture deals, showing how aggressively it is expanding across the AI ecosystem
The big concern is circular deals. Critics say Nvidia is investing in companies that also buy its chips. But analysts say these deals could also help Nvidia build a stronger long-term moat
Nvidia is trying to shape the full AI stack, from data centers to startups to model companies. The AI boom is becoming an investment game too.
Top AI & SaaS Tools
WriteVoice (Life-time Deal): Converts recorded voice notes into polished, app-ready text so you can dictate emails, posts, and memos and send them directly from any app
ML Intern: Autonomous ML agent that reads papers, finds datasets, trains models, and iterates until performance improves [F-R-E-E]
P9 AI Fluency Index: Delivers a quick (~12-minute), explainable assessment of an organization’s AI maturity and gives recommendations to reach the next level [F-R-E-E]
MolmoAct 2: An open Action Reasoning Model for robotics that performs 3D reasoning before producing action directives
nocal 4: Calendar-workspace that unifies notes, tasks, and calendars into a Markdown-ready weekly board with built-in AI/MCP so agents can read and write your context [F-R-E-E]
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AI Tutorial
How to Automate Coding Tasks with Jules
Shipping code does not have to mean babysitting every commit. In this guide you will use Google’s async development agent Jules to queue up tasks, let it work in the background, and publish clean branches when it is done.
Go to Jules and sign in with Google account
This ensures you can securely connect to the async agent and its integration features.
Connect GitHub account
Authorize Jules to have permissions to your repositories so it can create branches, commit changes, and submit updates automatically.
From dashboard, choose specific repository you want to work on
Use the dropdown menu to also select the correct branch (for example, dev or feature-x) so changes are applied in the right place.
Enter chat interface inside Jules
This is where you describe what you want the async agent to do.
Type your request clearly.
For example:
Generate unit tests for the payment module
Update the API documentation
Resolve the issue where file uploads fail for large files
Review draft plan generated by Jules
It will outline the steps it intends to take, such as editing specific files, creating fresh ones, or running checks.
If needed, refine your instructions.
You can clarify details like:
Just update the frontend code
Use Python 3.11 syntax
Once the plan looks correct, press Approve. Jules will run the changes asynchronously—meaning you don’t have to wait in real time.
Monitor progress in activity log
You’ll see which files are being modified and whether tests are being run in the background.
When Jules completes work, preview the changes
Check the diff or run the updated code locally if you want to verify results.
Tap Publish Branch to push finished work into rep
From there, you can merge it into your main branch through a pull request like normal.
Note: Break tasks into smaller steps for higher accuracy, and don’t approve until the plan looks right. After publishing, review the diff so nothing slips through unnoticed.
Top AI & Tech News
Oracle laid off ~20,000–30,000 workers by email, offered standard severance without accelerated RSU vesting, and refused employees' requests to improve terms
Meta employees report misery from looming 10% layoffs, AI monitoring of their work, and an overwhelming push to build and manage countless AI agents
Anthropic has reportedly signed a $1.8 billion long-term computing deal with Akamai to meet rising demand for its AI models, according to Bloomberg
Broadcom says Microsoft must agree to buy about 40% of OpenAI’s first chips (costing ~$18B) to make production happen, but Microsoft hasn’t signed on yet
AI Art Spotlight
Create Your Own Photo Like This Using the Prompt Below:
Reimagine the full image as a whimsical handcrafted folk-art illustration filled with playful doodle aesthetics. Replace the original colors with a fresh, vibrant palette featuring bold contrasting tones and cheerful accents. Convert every object and detail into simplified flat forms with soft irregular outlines, textured brush-like fills, and an intentionally imperfect handmade appearance, as if sketched and colored on clean white paper with markers and paint pens. The final artwork should feel charming, naïve, and storybook-inspired, combining decorative folk patterns, quirky shapes, and lighthearted visual energy in a cute, imaginative style.Model: ChatGPT Images 2.0
Resource of the Day
10 GitHub Repos That Turn Genius Into Software
A curated list of 10 GitHub repos showing how top engineers and teams think, build, and solve problems — and make that thinking runnable on your own laptop. From Andrej Karpathy’s AI workflows to Microsoft research platforms, from production‑ready agent systems to open coding playbooks, these projects expose process, not just results.
Featured AI Video
OpenAI Codex Explained for Normal People (“Claude Cowork Killer”)
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