- AI PlanetX
- Posts
- AI Helped Design a Cancer Treatment
AI Helped Design a Cancer Treatment
Replit Partners With OpenAI

Welcome to another edition of AI PlanetX.
AI personalizes cancer treatment with positive Phase 3 results; Replit partners with OpenAI; GEN-1.5 learns physical tasks from 3-second demos.
Inside This Edition: 💎
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Uncover Winning Ad Angles
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: Prompts for More Accurate Answers
Featured Video
Course of the Day: Agentic AI Crash Course
Hottest AI News
AI in Healthcare
AI Helped Personalize a Cancer Treatment With Positive Phase 3 Results

AI is part of a cancer therapy that has passed a major Phase 3 test. Merck and Moderna’s personalized mRNA treatment became the first individualized neoantigen therapy to deliver a positive Phase 3 readout.
Details:
Intismeran autogene starts with sequencing a patient’s tumor and blood. Moderna says AI algorithms review the mutations and choose up to 34 neoantigens most likely to spark an immune response
Those selected targets are encoded into a made-to-order mRNA treatment for that patient, designed to train T cells to recognize the tumor, then combined with Merck’s KEYTRUDA immunotherapy
In 1,137 people with surgically removed stage IIB–IV melanoma, the combo significantly improved recurrence-free and distant-metastasis-free survival versus KEYTRUDA alone
Overall survival is still being followed, so this is not the final word. But it is a major proof point for AI-guided, personalized mRNA cancer treatment.
Build. Break. Fix. Learn.
KodeKloud gives you 1,280+ hands-on labs where you provision Kubernetes clusters, write Terraform configs, build CI/CD pipelines, configure Linux systems, containerize apps with Docker, automate with Ansible, and manage Git workflows.
78+ playgrounds let you experiment freely in sandbox AWS environments, Kubernetes clusters, and CI/CD systems without risk.
190+ courses across DevOps, Cloud, and AI pair theory with hands-on labs at every step.
KodeKloud Engineer and 100 Day Challenges provide real-world job scenarios with automated grading that confirms your solutions work.
Stuck? The 55,000+ member Discord community connects you with peers and instructors ready to help.
Every lab runs in a live environment. You deploy, you troubleshoot, you learn. No videos without context. No simulations. The kind of practice that actually builds confidence because you've done real work, not watched someone else do it.
Replit
Replit Adds Free Mode to Help Paid Users Stretch Their Monthly Credits

Replit just changed the economics of AI coding. Its F-r-e-e Mode lets Core and Pro subscribers handle everyday chats and lighter agent work without draining credits, powered by OpenAI’s GPT-5.6 Luna.
Details:
The mode is default-on for Replit’s $20 Core and $100 Pro plans. Replit says Core users can create up to 30x more and get up to 30 hours of chat each month without credits
Luna handles routine chats, planning and lighter tasks, while bigger builds still use credits. When a step gets harder, Replit can route it to GPT-5.6 Sol, then return to Luna
OpenAI cut Luna’s API price by 80% on July 30. Replit’s Michele Catasta called the setup “radical” and the first of more OpenAI launches; Sam Altman predicts an entrepreneurial boom
The real shift is cost. When capable AI gets dramatically cheaper, products can offer much more intelligence without making users count every token.
Top AI & SaaS Tools
CustomJS (Life-time Deal): All-in-one toolkit for building headless forms, automating workflows, running JavaScript, and generating pixel-perfect PDFs or screenshots through a single API
NobodyWho: Open-source, on-device AI inference engine supporting multiple platforms, models, multimodal inputs, speech, GPU acceleration, and schema-valid tool calling without APIs [F-R-E-E]
MiniMax Design: Desktop app that uses agent teams to turn a video concept into a finished production on one canvas [F-R-E-E to Try]
HyNote for Mac: Private on-device transcription tool that works seamlessly with Zoom, Google Meet, and Microsoft Teams without using meeting bots [F-R-E-E to Try]
Gemini Student Hub: Eligible students can claim the student AI plan at no cost and use quizzes, flashcards, Guided Learning, and personalized Study Notebooks
Your employees are connecting AI to everything. Now what?
ChatGPT and Claude aren't just answering questions. Employees are connecting them directly to Notion, Linear, Jira, and the rest of your stack — with no security visibility into what data moves or what actions they take.
Harmonic Security gives your team the visibility to control it.
AI Tutorial
How to Discover Winning Ad Angles With Claude

Your Meta ad data already contains clues about what messaging works. Claude can analyze those patterns alongside your live ads to help you find fresh creative angles to test.
Export Meta Data
Export your Meta campaign or ad-level performance data as a CSV, including the key metrics you use to evaluate creative performance.
Create Claude Project
In Claude, create a project called
meta-angle-reviewand upload your exported CSV.Add Ad Library
Copy your brand's active Meta Ad Library link and add it to the same Claude project.
Analyze Ad Angles
Ask Claude to compare your performance data with your live Meta ads. It should:
Match campaign rows with relevant ads where possible
Flag rows it cannot confidently match
Identify the creative angles behind your best-performing ads
Review Findings
Ask Claude to explain its conclusions using performance data and ad examples. Have it flag caveats such as small sample sizes or incomplete matches.
Create Visual Report
Ask Claude to turn the findings into a visual report with supporting evidence and three specific creative tests based on the strongest opportunities.
Compare Placements
Repeat the analysis using separate Instagram and Facebook exports to identify which angles perform best on each placement.
Note: Compare ads against the right baseline. An angle with a high CTR but poor conversion rate may be effective at generating clicks without producing customers.
Top AI & Tech News
Generalist’s GEN-1.5 learns and generalizes physical tasks from just a 3-second demonstration, including task chaining, error recovery, and sim-to-real transfer
Stripe announced its acquisition of OpenRouter and reportedly told investors the “singularity” began Jan. 1, 2026
U.S. AI chipmaker Cerebras unveiled CS-4, its fourth-generation AI computer, claiming up to 30× the performance of GPU rivals on large models
OpenAI introduced Private Safety Processing to spot misuse across chats while protecting user data, unlike Anthropic, which allows limited data storage and human review for some models
AI Art Spotlight

Create Your Own Photo Like This Using the Prompt Below:
Premium high-fashion editorial poster for [BRAND NAME], full-body fashion model centered, oversized luxury streetwear outfit, clean symmetrical pose, realistic fashion photography, soft studio lighting, minimalist futuristic aesthetic, Korean high-fashion poster style, Vogue-inspired campaign.
Massive bold typography "[MAIN FASHION WORD]" behind the model, strong centered composition, luxury magazine layout, minimal monochromatic background, spacious negative space, tiny editorial text details, subtle brand symbols, modern runway atmosphere.
Soft monochromatic color palette, cream and pastel tones, premium skin rendering, luxury shadows, smooth reflections, high-end commercial styling, ultra-realistic, ultra-detailed, Behance-quality fashion campaign, magazine cover design, 8K.Model: ChatGPT Images 2.0
Prompt of the Day
Prompts That Made ChatGPT Prioritise Accuracy Over Assumptions

These prompts are designed to make ChatGPT prioritise accuracy over speed, assumptions, and the pressure to always produce an answer. They instruct it to take a more inquisitive approach, use fresh and authoritative sources for information that can be checked, verify important claims before responding, and clearly separate confirmed facts from inference or uncertainty.
Featured Video
ChatGPT Just Released Ads: Here’s How to Make Money with Them Before Anyone Else Does
AI Course of the Day
Agentic AI Crash Course using LangChain

This hands-on crash course introduces generative AI, retrieval-augmented generation (RAG), and AI agents using Python and LangChain. It focuses primarily on coding rather than the theory behind generative or agentic AI.


