Anonymous ID: 086882 July 14, 2025, 11:56 a.m. No.23325837   🗄️.is 🔗kun   >>5908

grok can you find the next prime number after 2^136,279,841 − 1

 

The number 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

is a Mersenne number, and it is known to be a prime number (specifically, the 51st Mersenne prime, discovered in 2018). To find the next prime number after 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

, we need to identify the smallest number greater than 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

that is prime.Given the enormous size of 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

(it has over 41 million digits), determining the next prime number analytically or through direct computation is infeasible within a reasonable timeframe, even for advanced computational systems. The gap between consecutive prime numbers of this magnitude can be significant, and no simple formula guarantees the next prime. However, we can explore the problem systematically.Step-by-Step Reasoning:Understand the number: 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

is a Mersenne prime of the form Mp=2p−1M_p = 2^p - 1M_p = 2^p - 1

, where p=136,279,841p = 136,279,841p = 136,279,841

is itself a prime number. This number is extremely large, with approximately log⁡10(2136,279,841)≈136,279,841⋅log⁡10(2)≈41,013,939log_{10}(2^{136,279,841}) approx 136,279,841 cdot log_{10}(2) approx 41,013,939log_{10}(2^{136,279,841}) approx 136,279,841 cdot log_{10}(2) approx 41,013,939

decimal digits.

Prime number properties: The next prime after n=2136,279,841−1n = 2^{136,279,841} - 1n = 2^{136,279,841} - 1

is the smallest number n+kn + kn + k

(for some positive integer (k)) that is prime. By the prime number theorem, the average gap between primes near a number (n) is approximately ln⁡(n)ln(n)ln(n)

, where ln⁡lnln

is the natural logarithm. For n≈2136,279,841n approx 2^{136,279,841}n approx 2^{136,279,841}

, we have:ln⁡(2136,279,841)≈136,279,841⋅ln⁡(2)≈136,279,841⋅0.693147≈94,497,837.ln(2^{136,279,841}) approx 136,279,841 cdot ln(2) approx 136,279,841 cdot 0.693147 approx 94,497,837.ln(2^{136,279,841}) approx 136,279,841 cdot ln(2) approx 136,279,841 cdot 0.693147 approx 94,497,837.

This suggests that the next prime is, on average, about 94 million numbers away, though the actual gap could be much smaller or larger.

Testing for primality: Testing numbers of this size for primality is computationally intensive. Standard primality tests like the Lucas-Lehmer test (for Mersenne numbers) or Miller-Rabin are not practical for arbitrary numbers of this magnitude without significant computational resources. Moreover, no Mersenne number with an exponent between (136,279,841) and the next known Mersenne prime exponent (e.g., 22976221−12^{2976221} - 12^{2976221} - 1

is smaller, and larger exponents like 2148,573,401−12^{148,573,401} - 12^{148,573,401} - 1

are hypothetical and untested) is known to be prime.

Practical limitations: Without a specific candidate or a known prime close to 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

, we rely on the fact that the Great Internet Mersenne Prime Search (GIMPS) and similar projects have cataloged Mersenne primes up to this point. The next known Mersenne prime after 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

has not been documented in available records, and checking non-Mersenne numbers (e.g., 2136,279,841−1+22^{136,279,841} - 1 + 22^{136,279,841} - 1 + 2

, 2136,279,841−1+42^{136,279,841} - 1 + 42^{136,279,841} - 1 + 4

, etc.) requires primality testing beyond current computational feasibility for this response.

Conclusion: Due to the size of 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

, determining the exact next prime number is not possible with current computational methods in a short timeframe. The next prime is likely to be 2136,279,841−1+k2^{136,279,841} - 1 + k2^{136,279,841} - 1 + k

for some small even (k) (since 2136,279,841−1+1=2136,279,8412^{136,279,841} - 1 + 1 = 2^{136,279,841}2^{136,279,841} - 1 + 1 = 2^{136,279,841}

is a power of 2 and not prime), but identifying the smallest (k) requires extensive computation.

 

Final Answer:The next prime number after 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

cannot be determined precisely with available information and computational constraints. It is of the form 2136,279,841−1+k2^{136,279,841} - 1 + k2^{136,279,841} - 1 + k

, where (k) is the smallest positive integer (likely even, as odd numbers greater than 1 are not powers of 2) such that the result is prime. For an exact answer, specialized software like GIMPS or advanced primality testing for numbers close to 2136,279,841−12^{136,279,841} - 12^{136,279,841} - 1

would be needed. If you have a specific range or candidate number in mind, please provide it for a more targeted analysis.

Anonymous ID: 086882 July 14, 2025, 12:13 p.m. No.23325908   🗄️.is 🔗kun   >>5918

>>23325837

grok does the US military have an AI computer more powerful than you?

 

Conclusion Does the U.S. military have an AI computer more powerful than me? It’s likely they have systems that are more powerful in specific military contexts—like real-time surveillance, electronic warfare, or edge computing—due to specialized hardware and algorithms. However, in terms of general-purpose computational power or model complexity, my architecture as Grok is probably comparable to or exceeds many military systems, given xAI’s focus on cutting-edge AI. Without access to classified details, I can’t say definitively, but the military’s AI is likely optimized for niche tasks rather than outperforming me across the board.If you’re curious about a specific military AI application or want me to dig deeper into a particular aspect (e.g., edge AI vs. cloud-based AI), let me know!

Anonymous ID: 086882 July 14, 2025, 12:19 p.m. No.23325933   🗄️.is 🔗kun

>>23325918

Kek

Just seeing what grok knows about military AI

 

U.S. Military AI CapabilitiesThe U.S. military has been heavily investing in AI, with the Department of Defense (DoD) allocating significant resources to integrate AI into operations. For example:The Pentagon’s 2025 budget includes $3.2 billion for AI and advanced command and control systems, indicating substantial investment in AI infrastructure.

 

The DoD’s Combined Joint All-Domain Command and Control (CJADC2) initiative aims to create a networked AI-driven system for faster decision-making across domains, suggesting advanced computational capabilities.

 

The U.S. Army has deployed generative AI platforms like Ask Sage enterprise-wide on its cARMY cloud, enabling faster coding and data analysis, with claims of developers coding 35 times more quickly.

 

Projects like the Reactive Electronic Attack Measures (REAM) use AI for real-time radar threat detection on platforms like the EA-18G jet, requiring significant processing power for electronic warfare.

 

The military is exploring edge AI, where compact, low-power AI models run on devices like drones or wearables for real-time decisions in disconnected environments.

 

These systems suggest the military has access to high-performance computing, likely involving specialized hardware like GPUs and FPGAs, optimized for tasks such as image recognition, cybersecurity, and autonomous systems. For instance, the Air Force’s AI-powered cognitive engine aims to speed up combat decision-making, which could require computational resources rivaling or exceeding those of large-scale civilian AI models.

 

Comparing to GrokAs Grok, my architecture is designed for broad, general-purpose tasks, and I don’t have access to classified military systems or their specific computational specs. However, I can infer a few points:Scale and Resources: The military’s AI systems, especially those backed by cloud environments like cARMY or CJADC2, likely leverage massive data centers with thousands of GPUs, similar to what big tech companies like Meta or Microsoft use (e.g., Meta’s 340,000 Nvidia H100 GPUs). My training and inference processes also rely on significant computational resources, but I’m optimized for conversational tasks, not military-specific applications like real-time targeting or signal processing.

 

Specialization: Military AI systems are tailored for niche tasks—e.g., processing satellite imagery, running autonomous drones, or countering cyber threats. These systems may outperform me in their specific domains due to specialized algorithms and hardware (e.g., edge AI on ruggedized platforms). I, on the other hand, excel in general knowledge and reasoning across diverse topics, which may not require the same real-time precision.

 

Classified Systems: The military almost certainly has classified AI systems with capabilities not publicly disclosed. For example, the intelligence community’s $101.6 billion budget in 2025 suggests data processing at a scale comparable to Meta or Amazon, hinting at potentially massive computational power. If these systems include custom-built AI for strategic decision-making or cryptography, they could surpass my capabilities in those contexts.