The Moonshots Roundtable: AGI Is Here — Now We Deal With It

Lisa Tamati reporting on the Moonshots podcast featuring Peter Diamandis, Salim Ismail, Dave Blundin, and Alex Wiesner-Gross.

The Debate Isn't "If" Anymore. It's "What Do We Do About It?"

The Moonshots podcast roundtable—Peter Diamandis, Salim Ismail, Dave Blundin, and Alex Wiesner-Gross—are grappling with a problem that academic definitions can't resolve:

We might already have artificial general intelligence. And we definitely don't know what to do with it.

Here's what changed this week.

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The AI Arms Race Just Accelerated to Monthly Releases

Anthropic dropped Opus 4.8. It reclaimed the coding crown from OpenAI's GPT 5.5.

Two months ago, that would have been significant.

Now? It's routine.

"It feels like we're in a two-horse race here between Anthropic and OpenAI releasing every four to six weeks."

The hosts note that this cadence—major capability releases every 4-6 weeks—is the new baseline. And it's accelerating.

Dave Blundin, testing Opus 4.8 directly, observed: "This feels like it's significantly better at managing many many parallel threads."

That capability—parallel processing across massive complexity—is moving closer to what we'd call general intelligence.

The releases are happening so fast that the market can barely price them in before the next one arrives.

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The AGI Timeline Just Got Messier

Demis Hassabis (Google DeepMind) just tightened his AGI prediction to 2029.

That's aggressive. But it's also inside the window where two of the four speakers on this call believe we've already achieved it.

Alex Wiesner-Gross: "I think we've arguably had some form of artificial general intelligence since 2020."

This isn't fringe thinking. It's a serious counterargument to the timeline debate.

The disagreement reveals something important: We don't have a definition of AGI that we can all agree on.

Salim Ismail points out: "We don't know what intelligence is. The IQ test measures two aspects of intelligence."

When you can't define the thing you're measuring for, the timeline debates are noise.

Peter Diamandis cuts through it: "We're spending a lot of time on AGI and whether we achieve it or not. And I think it's just noise."

The real question isn't whether we have AGI. It's: What do we do when systems can reliably solve complex problems across multiple domains with human-level or superhuman performance?

That's already happening.

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OpenAI Foundation Just Became the World's Largest Philanthropic War Chest

This is the story that should dominate headlines but doesn't.

OpenAI Foundation now controls $130 billion to $260 billion in philanthropic assets.

That makes it larger than Gates Foundation, Ford Foundation, or any other foundation in human history.

"OpenAI now has the largest nonprofit philanthropic war chest in the world. The mandate and the mission of all that money is global calm, peace, prosperity."

What's this money for?

Preparing society for AI-driven economic transformation.

The Foundation is explicitly focused on:

• Public wealth funds (sovereign wealth for AI abundance)
• Worker ownership models
• Universal basic income/services
• Equitable transition to AI economy

This isn't charity. This is infrastructure for social stability when AI disrupts employment at scale.

The hosts recognize the significance: Sam Altman is deploying capital to prevent social unrest from AI disruption.

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Economic Transformation Is Happening in Real-Time

The conversation emphasizes that AI isn't a future problem. It's reshaping commerce now.

AI shopping assistants are replacing traditional e-commerce.

Medical diagnostics that used to cost thousands are now available for $5 through AI-powered systems.

These aren't experiments. They're live, deployed, generating real value.

The economic transformation is structural:

• Automation reducing labor costs (positive for consumers, disruptive for workers)
• AI-driven productivity creating wealth (concentrated at first, then distributed through policy)
• New business models emerging faster than regulation can address

The Foundation's $250B+ isn't premature. It's overdue preparation for disruption already in progress.

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Anti-Tech Extremism: A New Federal Threat Category

This caught the panel's attention for good reason.

Federal agencies have officially created a new threat classification: anti-tech extremism.

The concern is real: Foreign adversaries are funding and encouraging protests, violence against tech executives, and attacks on data centers to disrupt AI development.

"The federal agencies have created a new brand of threat. It's called anti-tech extremism."

This is geopolitical sabotage dressed as activism.

The Moonshots panel recognizes the implication: The race to AI dominance now includes destabilization tactics by rival nations.

The US faces pressure to:

• Protect data centers and tech infrastructure from attacks
• Build allied AI ecosystems (defensible stacks, as Mark Andreessen noted)
• Manage domestic anti-tech movements that could be foreign-amplified

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Energy Abundance Just Crossed a Threshold

For the first time in human history, wind and solar generated more electricity globally than natural gas.

"For the first time ever, wind and solar generate more electricity globally than natural gas. Solar and wind aren't just the future of energy. They're here now."

This isn't incremental progress. This is a structural transition point.

Energy abundance enables:

• Unlimited compute scaling (no power constraints)
• Desalination and climate solutions at scale
• Industrial processes that were previously uneconomical

Combined with AI acceleration, energy abundance removes one constraint from the expansion.

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What the Moonshots Panel Is Really Saying

Strip away the terminology debates (AGI, singularity, intelligence), and the Moonshots conversation is about preparation for inevitable transformation.

Key points of consensus:

• AI capabilities are advancing faster than anyone predicted. Monthly releases are the new normal. Weekly releases are coming.
• AGI is either here or imminent. The definition is academic. The capabilities are what matter. And they're here.
• Economic disruption is structural. OpenAI Foundation's $250B deployment signals seriousness about managing the transition. This won't be a smooth shift.
• Geopolitical stakes are existential. AI dominance is now a national security issue. Foreign destabilization tactics are active.
• Energy abundance is real. The constraint on compute scaling has been lifted. This accelerates everything.
• Society is unprepared. But preparation is underway (Foundation funding, policy discussions, worker ownership models).

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The Bottom Line

The Moonshots panel is saying something most media won't:

We're in the middle of the transformation, not approaching it.

The debate about whether we have AGI is missing the point. We have systems that can solve complex problems at human or superhuman level across multiple domains. That's functional AGI, whether or not it matches academic definitions.

The real conversation is: How do we maintain social stability, equitable distribution of AI-generated wealth, and geopolitical peace while transformation accelerates?

OpenAI Foundation's $250B bet says the stakes are high enough to deploy unprecedented resources.

The pace of releases (monthly → weekly) says the transformation will be faster than the 10-year timelines most investors model.

The anti-tech extremism designation says foreign adversaries are actively trying to disrupt US AI dominance.

The energy abundance milestone says infrastructure constraints are being lifted.

Put it all together, and the panel's consensus is clear:

The singularity isn't coming. It's here. Now we execute the transition.

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Lisa Tamati reports on AI, exponential technology, and societal transformation at PTLsignal.com