What is Ilya Sutskever building at Safe Superintelligence — and why could it matter to business?

In this episode of The Macro AI Podcast, Gary Sloper and Scott Bryan take a closer look at SSI, the highly secretive AI company founded by former OpenAI chief scientist Ilya Sutskever.

We explore SSI’s unusual “straight-shot” approach to developing safe superintelligence, the billions of dollars behind the company, its relationships with Google and NVIDIA, and why Sutskever believes the next major breakthrough in AI may come from better learning rather than simply bigger models.

The conversation also looks at what concepts like stronger generalization and continual learning could mean for enterprises. If future AI systems can learn from experience, adapt to unfamiliar situations, and become better at a job after deployment, the implications could extend far beyond today’s copilots and agents.

We also examine the other side of that future: governance, auditability, trust, and the challenge of controlling AI systems that continue to evolve.

SSI has not yet released a public model, but the signals around the company suggest it is worth watching closely. This episode offers business leaders a practical preview of what the next generation of AI may look like — and why it could move us closer to true digital labor.

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About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/

Gary's Free AI Readiness Assessment:

https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness

Scott's Content & Blog

https://www.macronomics.ai/blog

Grok is no longer just Elon Musk’s AI chatbot. It is becoming part of a much larger vertically integrated AI strategy inside SpaceX.

In this episode of The Macro AI Podcast, Gary Sloper and Scott Bryan break down the rapidly evolving Grok ecosystem, including SpaceXAI, the massive Colossus compute infrastructure, the acquisition of Cursor, access to real-time data through X, and the arrival of Grok 4.6.

They examine how Grok compares with leading models from OpenAI and Anthropic, where its price-performance and agentic capabilities stand out, and why enterprises should increasingly consider Grok as part of their model evaluation strategy.

They also look ahead to Grok 5, SpaceX engineering data, and one of the most ambitious ideas in AI infrastructure: putting large-scale compute into orbit.

For business and technology leaders, the bigger story may not be whether Grok becomes the single best AI model—it may be the uniquely integrated business being built around it.

Send a Text to the AI Guides on the show!

About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/

Gary's Free AI Readiness Assessment:

https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness

Scott's Content & Blog

https://www.macronomics.ai/blog

In this episode of The Macro AI Podcast, Gary Sloper and Scott Bryan examine a remarkable Connecticut court case in which a litigant embedded hidden white-on-white instructions in legal filings in an apparent attempt to manipulate any AI system that might review them. The court discovered the prompt injection, sanctioned the litigant, and used the case to highlight the growing risks of generative AI in professional workflows.

Gary and Scott use the case as a jumping-off point to explain why prompt injection could become a major enterprise AI security and governance issue. As AI evolves from chatbots and copilots into agents that read documents, evaluate vendors, process invoices, analyze résumés, review contracts, and take actions, untrusted content can potentially contain instructions designed to influence those systems.

They also discuss why simply keeping a “human in the loop” may not be enough if the AI’s analysis has already been manipulated—and why businesses need stronger controls around AI agents, trusted inputs, decision integrity, independent verification, and AI governance.

Topics include: prompt injection, AI agents, agentic AI security, AI governance, human oversight, enterprise AI risk, and the growing challenge of separating data from instructions.

Send a Text to the AI Guides on the show!

About your AI Guides

Gary Sloper

https://www.linkedin.com/in/gsloper/

Scott Bryan

https://www.linkedin.com/in/scottjbryan/

Macro AI Website:

https://www.macroaipodcast.com/

Macro AI LinkedIn Page:

https://www.linkedin.com/company/macro-ai-podcast/

Gary's Free AI Readiness Assessment:

https://macronetservices.com/events/the-comprehensive-guide-to-ai-readiness

Scott's Content & Blog

https://www.macronomics.ai/blog