Do we need a "Project Glasswing" equivalent for knowledge work?

Everyone's talking about Anthropic's Mythos and cybersecurity, but what does it mean for knowledge work?

Anthropic built a new general-purpose reasoning model (Mythos) so capable it found thousands cybersec vulnerabilities. Anthropic has paused wide scale release and launch Project Glasswing to give us a headstart in cybersec defense.

For me, what's more interesting is that Mythos hit 94.5% on graduate-level scientific reasoning, 93.9% on real-world software engineering, 97.6% on competition mathematics. The recent Accenture × The Wharton School "Age of Co-Intelligence" report cites other frontier models outperforming human baselines.

For knowledge work, this make the Human x AI "Co-intelligence" question urgent. 

Multiple frontier models are now matching or exceeding expert human performance across reasoning, code, analysis, and synthesis. The question that remains is organizational, and that's where I see a gap widening fast on two fronts.

One person, through genuine co-intelligence with AI, can now deliver the research, synthesis, and execution output of a small "pre-AI" team. BUT this is still a small cohort of knowledge workers fluent with frontier tools and the ability to apply the right governance and judgement. 

What does it take to scale this?

Accenture's research backs what I've said before, value only materializes through deliberate redesign of how work gets done. Productivity gains from AI show up as freed capacity. And freed capacity does not automatically convert to growth. Leaders must intentionally redeploy it, OR it simply evaporates.

And this is exactly where Co-intelligence matters. 

Eathan Mollick was one of the earliest proponents of the idea that AI represents a co-intelligence. 

His research showed that those who achieved outsized outcomes did a few things well: problem framing, prioritization, delegation, and evaluation. The primary driver of performance was human judgment orchestrating machine intelligence into a coherent system of work. At the org level this translates to structure, policy, and how leaders choose to approach AI.

We already have superintelligent individuals. But superintelligent organizations requires a different kind of change entirely: redesigning operating models around a Human x AI workforce.

Every capability jump like Mythos widens this gap. Organizations that have already redesigned their operating models can absorb new capability immediately. Those still debating pilot scope cannot.

The bigger question is do we need the Project Glasswing equivalent for knowledge work? Until next time,

Ram

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Ram Srinivasan

MIT Alum | Author, The Conscious Machine | Global Future of Work and AI Adoption Leader published in Business Insider, Fortune, Harvard Business Review, MIT Executive Viewpoints and more.

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Disclaimer:

Ram Srinivasan currently serves as an Innovation Strategist and Transformation Leader, authoring groundbreaking works including "The Conscious Machine" and the upcoming "The Exponential Human."

All views expressed on "Substrate" and across all digital channels and social media platforms are strictly personal opinions and do not represent the official positions of any organizations or entities I am affiliated with, past or present. The content shared is for informational and inspirational purposes only. These perspectives are my own and should not be construed as professional, legal, financial, technical, or strategic advice. Any decisions made based on this information are solely the responsibility of the reader.

While I strive to ensure accuracy and timeliness in all communications, the rapid pace of technological change means that some information may become outdated. I encourage readers to conduct their own due diligence and seek appropriate professional advice for their specific circumstances.

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Accenture × Wharton, "The Age of Co-Intelligence" → https://lnkd.in/dMqBnaPd

Anthropic, Claude Mythos Preview System Card → https://lnkd.in/dUJgv2a3

Anthropic, Project Glasswing → https://lnkd.in/desctgxG