Anthropic has released its first progress report on Project Glasswing, the ambitious cybersecurity initiative launched in April aimed at turning advanced AI into a powerful defensive weapon against AI-powered cyberattacks.

Powered by the unreleased Claude Mythos Preview model, the project has already produced impressive outcomes in its first month, uncovering more than 10,000 vulnerabilities across partner organizations.

The initiative represents a sophisticated acknowledgment of a growing reality in cybersecurity: as AI systems become more capable, the most effective defense may lie in deploying similarly advanced AI to hunt for weaknesses before malicious actors can exploit them.

Strong Results from Key Partners

The report highlights how Mythos Preview is outperforming traditional security methods in both speed and thoroughness. Most participating organizations have each identified hundreds of critical or high-severity vulnerabilities in their software using the model.

Notable examples include:

• Cloudflare discovered 2,000 bugs, with 400 classified as high or critical severity.
• Mozilla identified and fixed 271 vulnerabilities in Firefox — a tenfold increase compared to previous scans using an earlier Claude model.
• Microsoft has linked larger-than-usual patch releases to vulnerabilities uncovered through Mythos Preview.

Anthropic also conducted its own scans of 1,000 open-source projects, identifying 6,202 high- and critical-severity vulnerabilities out of a total of 23,019. One independent security research firm reportedly used the model to successfully breach macOS, chaining exploits in a system long considered among the most secure.

These results suggest Mythos Preview is operating at a level where it can systematically map and prioritize vulnerabilities far more efficiently than human-led teams, potentially shifting the balance in the cybersecurity arms race.

Despite the promising defensive applications, Anthropic has chosen not to release Mythos Preview to the general public. The company stated that no organization, including itself, has yet developed adequate safeguards to prevent such a powerful model from being misused for offensive purposes.

This measured approach aligns with Anthropic’s founding emphasis on responsible AI development and constitutional principles. The company plans to release “Mythos-class models” in the future once robust safeguards are in place. In the meantime, it is expanding Project Glasswing through partnerships with the U.S. government and other nations, signaling a strategic effort to strengthen ties with policymakers and position itself as a trusted partner in national security.

Current collaborators already include a formidable lineup: Amazon Web Services, Apple, CrowdStrike, Google, JPMorgan Chase, NVIDIA, and Palo Alto Networks, among others. This ecosystem of leading technology and security firms creates a powerful collaborative network for advancing AI-assisted defense capabilities.

Financial Strength Fuels Ambitious Safety Agenda

The progress on Project Glasswing arrives as Anthropic approaches its first profitable quarter since its founding in 2021. According to a recent Wall Street Journal report, the company is on track to generate $10.9 billion in revenue and an operating profit of $559 million for the quarter ending in June. However, Anthropic does not anticipate sustained profitability in subsequent quarters, as it plans to significantly ramp up investments in computing infrastructure, talent acquisition, and safety research.

This financial momentum provides Anthropic with greater flexibility to pursue long-term, high-impact initiatives like Glasswing without immediate commercial pressures, allowing the company to prioritize safety and societal benefit alongside technological advancement.

Project Glasswing is seen as an indication of a maturing understanding within the AI community that powerful models must be harnessed for defense as aggressively as they are developed for capability. The traditional asymmetry in cybersecurity, where attackers need only find one vulnerability while defenders must secure everything, is being challenged by AI systems that can comprehensively scan, prioritize, and even suggest fixes at scale.

Yet the dual-use nature of these tools remains the central tension. The same capabilities that empower defenders can, in the wrong hands, dramatically lower the barrier for sophisticated attacks. Anthropic’s decision to limit access while building trusted partnerships reflects a responsible path forward, but it also highlights the growing importance of governance frameworks for frontier AI in sensitive domains like cybersecurity.

Elon Musk’s companies are showing signs of divergent priorities in their energy strategy. While Tesla has long championed an electrified, solar-powered future, a new SpaceX IPO filing highlights how Musk’s xAI is leaning heavily on fossil fuels to power its rapidly expanding AI infrastructure — raising questions about whether the original Tesla Master Plans are being quietly deprioritized in favor of immediate AI demands.

The SpaceX prospectus, released this week, offers a rare window into Musk’s sprawling empire and reveals that xAI is using dozens of unregulated natural gas turbines to fuel its data centers, with plans to purchase an additional $2.8 billion worth of such equipment, according to TechCrunch.

This marks a notable departure from the clean energy ethos that has defined much of Musk’s public persona and Tesla’s long-term roadmap.

Tesla’s Master Plans, four iterations released over the years, have consistently centered on accelerating the transition away from hydrocarbons. In the very first Master Plan, Musk articulated the company’s core purpose.

“The overarching purpose of Tesla Motors…is to help expedite the move from a mine-and-burn hydrocarbon economy towards a solar electric economy,” he said.

Master Plan Part 3, released just three years ago, laid out a detailed vision for eliminating fossil fuels through massive scaling of solar, batteries, and electric vehicles. The plan positioned Tesla as a key player in decarbonizing not just transportation but the entire global energy system.

Yet the SpaceX filing paints a different picture for Musk’s newest venture. xAI’s data centers are currently running on natural gas, and there is little mention of significant solar procurement from Tesla to power them. While xAI has purchased $697 million worth of Tesla Megapacks (grid-scale battery storage) over the last two years to manage peak loads, and SpaceX has bought 1,279 Cybertrucks for $131 million, the absence of material solar adoption stands out.

Space-Based Solar as the Long-Term Bet

Instead of terrestrial solar, the filing emphasizes space-based solar power as the future solution for energy-intensive data centers. SpaceX argues that orbital solar arrays could generate more than five times the energy of ground-based systems due to continuous sunlight without atmospheric interference or weather disruptions.

This reflects Musk’s well-known enthusiasm for space-based energy concepts. He and other Silicon Valley leaders have increasingly discussed lofting massive server racks into orbit to bypass earthly constraints like NIMBY opposition, grid limitations, and land use issues.

However, the economics remain daunting: launching and maintaining data centers in space would face enormous challenges, including far higher power costs than terrestrial operations, radiation protection for chips, and the technical difficulty of distributing AI training workloads across satellites.

The filing acknowledges that AI compute demand could reach “terawatt-scale annual growth,” far outstripping current global data center consumption of around 40 gigawatts. Musk’s “first principles” approach is evident here; he starts from the projected need and works backward, concluding that space may ultimately be the only scalable solution.

Critics see a clear contradiction. While Tesla continues to promote solar roofs, Megapacks, and vehicle electrification, Musk’s AI ambitions appear to be accelerating fossil fuel use in the short term. xAI’s natural gas turbines are described as stopgaps until space-based solutions mature, but that timeline remains speculative. Musk has a track record of optimistic projections, and many of his grand visions (full self-driving, Mars colonization) have taken longer than initially promised.

The reliance on natural gas also highlights the immense energy appetite of modern AI. Training and running frontier models requires enormous, always-on power, often in locations where renewable infrastructure is not yet sufficient. This creates a tension between the clean energy ideals Musk has championed for nearly two decades and the raw computational demands of the AI race he is now deeply embedded in.

However, there is growing concern, especially from energy analysts, that this divergence could have several consequences, highlighted as follows:

For Tesla: If xAI continues prioritizing natural gas over Tesla solar and storage solutions, it may represent a missed opportunity for internal synergy and send mixed signals to investors and customers who bought into the clean energy narrative.

For the Energy Transition: Musk’s influence is enormous. A visible pivot toward fossil fuels for AI infrastructure could slow momentum on terrestrial renewables, even as he continues to advocate for them publicly.

For Investors: SpaceX’s IPO filing provides rare insight into Musk’s thinking. The emphasis on space-based power suggests he views orbital infrastructure as a long-term hedge against earthly limitations, but the near-term reliance on natural gas underscores the practical challenges of scaling AI sustainably.

But Musk has never been one to follow a linear path. His companies often pursue multiple seemingly contradictory strategies simultaneously, betting that breakthroughs in one area will eventually reinforce the others.