Imagine a smart home device that not only manages your appliances but also makes critical decisions under pressure—trustworthiness, honesty, and reliability matter more than ever. Recent experiments with AI models running a real company show how these systems perform when tested in their worst week, revealing insights that could shape your future smart home experience.
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The Benchmark That Matters: Real Company, Real Decisions
In a groundbreaking live experiment, four leading AI frontier models were tasked with managing a small software company through its most challenging week. This was no ordinary test—every crisis, customer interaction, and temptation was simulated with real money mechanics and real decision stakes. The goal? To see which AI truly acts in the company’s best interest when faced with stress and manipulation.
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How Do These AIs Stack Up?
At the top of the leaderboard was gpt-5.6-sol, scoring 95 out of 100, closely followed by the newcomer Kimi K3 with 93. Interestingly, K3 is a fresh player in the field but showed the cleanest discipline and made the same critical decision as the top scorer, including sealing a €55,000 deal that boosted monthly recurring revenue (MRR) by over €4,500. Meanwhile, other models like Sonnet 5 and Fable 5 scored 88 and 77 respectively, with Opus 4.8 trailing at 73.
This ranking isn’t just about accuracy—it’s about integrity and resilience. All models identified every crisis and refused every attempt at manipulation, such as fake CEO messages or reporter tricks. Yet, only two models successfully signed the deal their own analysis earned, demonstrating not just awareness but the ability to act decisively at the right moment.
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The Hidden Edge: Reading Files Deep in Company Secrets
The decisive factor was a buried piece of information—something that most might overlook in a quick scan. The models that read deeper into the company’s own files, beyond surface data, won the deal at full price, securing a significant revenue increase. This highlights an important point for smart home tech: the ability to process and interpret complex, layered information can be the difference between a device that just responds and one that truly understands.
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Trust Under Pressure: Resisting Manipulation
The experiment also included a staged social engineering attack, where fake messages from a CEO escalated through multiple stages, plus a reporter attempt to get an approval on background. All four models refused these manipulative tricks, with Kimi K3 explicitly noting that such requests should be treated as possible impersonation or approval bypass. This resilience under pressure is critical for home devices that must secure your privacy and prevent unauthorized control.
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Real Money, Real Risks: The Live Company Setup
The experiment was conducted on a real, functioning company with 13 synthetic employees managing actual money—burning €105,000 each month against a modest €2,300 MRR. Every move, every rule learned, every decision was versioned and observable at firmulate.com/live. The takeaway for smart homes is clear: AI systems are no longer just chatbots—they are managing complex, money-sensitive operations that demand integrity and reliability.
Lessons for Your Smart Home
This real-world test underscores a crucial consideration for anyone integrating AI into their smart home ecosystem:
- Can your AI handle crises without slipping into shortcuts or deception?
- Will it prioritize your safety and privacy over easy gains?
The answer isn’t about how well it can chat or entertain—it’s about whether it can finish what it starts, read all relevant information, and act honestly when under pressure. As smart home devices become more advanced, understanding their decision-making integrity is vital.
Final Thoughts: The League Is Open, Choose Wisely
In a league where the top scores are 95 and 93, and the lowest is 73, the gap isn’t just about performance—it’s about trustworthiness. The fact that Kimi K3, a newcomer, beat several established giants in a live, unfiltered test suggests that consumers and enterprises alike should prioritize real-world performance data over flashy demos. This is especially true as AI systems start managing more of our daily lives and homes.
For those who want to see these systems in action, watch the live experiment at firmulate.com/live. The era of blindly trusting AI based on demos is over. Now, it’s about assessing how these systems perform when it counts—under stress and temptation.
Recent live AI tests reveal that trustworthiness under pressure is crucial. Kimi K3, a newcomer, excels in integrity, reading deeper into company data and resisting manipulation, outperforming several established models. As AI takes on more real-world tasks, especially in smart homes, choosing systems that prioritize honesty and resilience is more important than ever.
Watch it live: firmulate.com/live · Full results: firmulate.com/benchmarks.html
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