Daily AI Newsletter: Data scientist uses AI and ChatGPT to create cancer vaccine for his dying dog

In today’s email:

👀 What 81,000 people want from AI
🌊 Google is using old news reports and AI to predict flash floods
🔥 The wild six weeks for NanoClaw’s creator that led to a deal with Docker
🧰 17 new AI-powered tools and resources. Make sure to check the online version for the full list of tools.

Data scientist uses AI and ChatGPT to create cancer vaccine for his dying dog

Key Takeaway: A Sydney tech entrepreneur used AI, genomic analysis, and leading university scientists to create a personalized mRNA cancer vaccine for his dying dog, producing early results that could influence future cancer treatment in both pets and humans.

More Insights:

Rosie, a rescue dog with advanced mast cell cancer, had run out of standard treatment options after chemo and surgery failed.
Her owner, Paul Conyngham, used ChatGPT and AI tools to analyze her tumor DNA and identify possible treatment targets.
Scientists at UNSW helped turn that analysis into a custom mRNA vaccine, believed to be a first for a dog.
After receiving injections, one of Rosie’s major tumors reportedly shrank by about half, improving her comfort and energy.
The case has impressed cancer researchers because it shows how AI, citizen science, and personalized medicine can work together in real life.

Why it matters: This story is bigger than one dog. It shows that powerful medical innovation is no longer limited to giant labs or pharmaceutical companies alone. When AI, persistence, and expert science come together, they can push treatment forward faster than traditional systems often allow — and force us to rethink who gets to participate in breakthroughs that could one day save human lives.

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Gamers’ Worst Nightmares About AI Are Coming True

Key Takeaway: AI is hurting the gaming industry on multiple fronts—driving up hardware costs through RAM shortages, accelerating layoffs, and pushing studios toward automation that many developers and gamers actively reject.

More Insights:

AI data centers are consuming huge amounts of RAM, contributing to a global memory shortage and raising console and PC hardware costs.
Rising hardware costs are delaying releases, shrinking access to gaming, and making PC building far less affordable for everyday players.
Game studios are increasingly using AI to cut costs and speed up production, but many developers say the tools are limited and damage creative quality.
Gamers are strongly pushing back against even small uses of generative AI, causing reputational harm to studios that adopt it.
Layoffs are mounting across the industry, especially for junior workers, while senior staff are left doing more work with fewer opportunities for newcomers.

Why it matters: Gaming is more than a business—it is a creative ecosystem built by developers and sustained by passionate communities. If AI continues to make games more expensive, less human, and harder to build a career in, the industry risks losing the very people who make gaming worth caring about in the first place.

The web's next customer isn't human

Key Takeaway: AI agents are rapidly shifting from being simple assistants to becoming major internet users, forcing startups, platforms, and publishers to rebuild the web for machines that can discover, decide, and transact without humans in the loop.

More Insights:

AI bot traffic is growing fast while human web traffic is declining, signaling a major shift in who the internet is being built for.
New infrastructure is emerging for the agentic web, including agent-friendly content formats, protocols, payment rails, and trust systems.
Traditional ad-driven web models are under pressure because AI agents do not see ads, click banners, or respond to visual persuasion.
Startups are racing to build the picks-and-shovels layer for this new era: browsing tools, structured data extraction, monetization, security, and agent operating systems.
Big challenges remain around security, compliance, identity, and control, especially as agents gain the power to act and transact independently.

Why it matters: The article is really a warning as much as a prediction: when machines become the main “customers” of the internet, the winners won’t be the companies with the prettiest interfaces, but the ones with the most trusted, structured, machine-readable systems. That changes not just product design, but the economics of attention, discovery, and power online.

Other stuff

What 81,000 people want from AI
Google is using old news reports and AI to predict flash floods
The Gemini-powered features in Google Workspace that are worth using
Founders are increasingly leasing multimillion-dollar mansions in San Francisco's wealthy neighborhoods as corporate HQs and hacker houses, amid the AI boom
Why I may ‘hire’ AI instead of a graduate student
AI agent 'lobster fever' grips China despite risks
What’s stopping people from using AI improvements to research new AI paradigms?
The wild six weeks for NanoClaw’s creator that led to a deal with Docker

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