The PCDN team has been using Gamma for the past year, and we absolutely love it. Gamma 3.0 recently launched with even better features, and it's transforming how we create presentations, documents, and websites. This week Gamma hit a 2 billion dollar valuation but more important is their product is amazing

Here's why we're obsessed with Gamma:

Whether you're building impact presentations, workshop materials, or campaign websites, Gamma eliminates the design bottleneck that holds back changemakers. After a full year of using it, we can confidently say this is design the way it should be - intuitive, fast, and consistently impressive.

The quality keeps improving with every release, making our content creation process smoother and our outputs more professional.

Ready to transform your design workflow?

Yes, AI alignment is a genuine problem. The research is peer-reviewed and grounded—misaligned power-seeking, difficulty scaling oversight, erosion of human control. These aren't fantasy scenarios.

But here's the thing: 546,000 people die annually from climate-driven heat. Wildfire smoke killed 154,000 in 2024 alone. Nearly 900 million poor people face multiple climate hazards simultaneously—extreme heat, flooding, drought, toxic air—with no resources to adapt.

The richest 10% capture 47% of global income. The poorest 10% get 0.91%. The richest 1% have accumulated 1,000 times more wealth than the poorest 20% over the last 35 years. Two-thirds of the world lives in countries where inequality is growing. Global wealth-income ratios have surged from 390% in 1980 to over 625% in 2025—meaning assets are growing far faster than productive income.

More than a third of humanity survives on $2.15–$6.85 per day. Climate change will push 100–122 million additional people into extreme poverty by 2050. Sub-Saharan Africa and South Asia will bear the brunt.

Meanwhile, AI bias in hiring, lending, and healthcare systems is documented and measurable—but underfunded and underregulated because the conversation is elsewhere.

Research shows that focusing on existential AI risks does pull resources from immediate harms. We debate superintelligence while poverty and climate destroy millions right now.

Neither/nor thinking is something we cannot afford.

This isn't a call to abandon AI safety. It's a call for intellectual honesty about resource allocation.

We need simultaneous action on all fronts:

The uncomfortable truth: The same political will, the same funding mechanisms, the same smart people could address multiple crises at once. Universal social protection helps with both climate shocks and AI displacement. Algorithmic fairness regulation and wealth caps both reduce inequality. But instead, we're running these as separate conversations with separate budgets.

Your impact work depends on calling this out. Your audience—changemakers, social entrepreneurs, practitioners—they're building solutions in real time. They don't have the luxury of choosing between crises. They're managing all of them simultaneously on fractional budgets.

That's the real risk. Not what AI might do someday. What we're choosing not to do right now.

The conversation shouldn't be AI risks vs. inequality and climate. It should be: Why are we underfunding solutions to all three?

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Joke of the Day
Why did the AI ethics researcher bring a ladder to the conference?

Because they heard the standards were getting higher, but the accountability kept falling through the floor! 🪜😅

📰 News

Airlines Shut Down Flight Data Program After 404 Media Investigation Reveals Warrantless Government Tracking
Airlines Reporting Corporation will terminate its Travel Intelligence Program following 404 Media's reporting that the FBI, DHS, IRS, and other agencies accessed hundreds of millions of Americans' flight records without warrants, with the data broker—co-owned by United, American, Delta, Southwest, JetBlue, Alaska, Lufthansa, Air France, and Air Canada—ending sales after bipartisan congressional pressure exposed how 50% of US flight bookings were searchable without judicial oversight.

Political Consultant Launches Mobile Voting Protocol Despite Security Expert Skepticism
Political consultant Bradley Tusk unveiled VoteSecure, an open-source mobile voting protocol, after spending $20 million of his own fortune on digital democracy initiatives, claiming cryptography can secure smartphone ballot casting—but election security specialists and cryptography experts remain deeply skeptical about putting elections on the same devices used for TikTok and texting, questioning whether the technology can withstand sophisticated attacks.

India's ChatGPT Alternative Race Heats Up as OpenAI Offers Free Year to Capture Market
While OpenAI offers ChatGPT Go free for a year in India starting November 4 to dominate its second-largest market, homegrown alternatives like Krutrim (backed by Ola's Bhavish Aggarwal), BharatGPT (from CoRover.ai), and government-supported BharatGen are racing to build AI models trained on 22 Indian languages with cultural sensibilities, as the nation pushes for AI sovereignty amid concerns about relying on Western technology for mission-critical applications.

💼 Jobs, Jobs, Jobs

Climatebase - Comprehensive job board featuring thousands of opportunities at climate tech startups, clean energy companies, sustainability-focused organizations, and impact-driven ventures working to solve the climate crisis through innovation, policy, and technology solutions.

👤 LinkedIn Profile to Follow

Gemma Turon - AI for Neglected Disease Research, Ersilia Open Source Initiative
Molecular biologist and stem cell researcher who shifted focus to global health after her PhD, now developing and deploying AI/ML methods for infectious and neglected diseases affecting developing countries, while building data science capacity in underserved communities through the Ersilia Open Source Initiative.

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🎧 Today's Podcast Pick

Mystery AI Hype Theater 3000
Hosted by linguist Emily M. Bender and sociologist Alex Hanna from the Distributed AI Research Institute, this irreverent podcast dissects AI hype with critical analysis, expert guests, and sharp humor—examining everything from large language model limitations to the political economy of AI while holding Silicon Valley accountable for overhyped claims about machine intelligence