VERSES Genius™ Outperforms OpenAI Model in Code-Breaking Challenge, “Mastermind”
VERSES AI (OTCQB:VRSSF) has announced that its Genius™ AI system has outperformed OpenAI's o1 Preview model in the code-breaking game Mastermind. In a 100-game test, Genius achieved a 100% success rate compared to o1's 71%, completing tasks 140 times faster and 5,260 times more cost-effectively.
Key performance metrics show Genius completed all games in just over 5 minutes at an estimated cost of $0.05 USD, while OpenAI's model took 12.5 hours and cost $263 USD. Genius operated on a standard laptop, while o1 required GPU-based cloud computing. The company positions these results as evidence of Genius's superior logical reasoning capabilities and potential applications in cybersecurity, fraud detection, and financial forecasting.
VERSES AI (OTCQB:VRSSF) ha annunciato che il suo sistema AI Genius™ ha superato il modello o1 Preview di OpenAI nel gioco di codice Mastermind. In un test di 100 partite, Genius ha raggiunto un tasso di successo del 100% rispetto al 71% di o1, completando i compiti 140 volte più velocemente e 5.260 volte più economicamente.
I principali indicatori di prestazione mostrano che Genius ha completato tutte le partite in poco più di 5 minuti a un costo stimato di $0,05 USD, mentre il modello di OpenAI ha impiegato 12,5 ore e costato $263 USD. Genius ha funzionato su un laptop standard, mentre o1 richiedeva l'uso del cloud computing basato su GPU. L'azienda presenta questi risultati come prova delle superiori capacità di ragionamento logico di Genius e delle sue potenziali applicazioni nella cybersecurity, nella rilevazione delle frodi e nella previsione finanziaria.
VERSES AI (OTCQB:VRSSF) ha anunciado que su sistema de IA Genius™ ha superado al modelo o1 Preview de OpenAI en el juego de resolver códigos Mastermind. En una prueba de 100 juegos, Genius logró una tasa de éxito del 100% en comparación con el 71% de o1, completando tareas 140 veces más rápido y 5,260 veces más económico.
Los principales métricos de rendimiento muestran que Genius completó todos los juegos en poco más de 5 minutos a un costo estimado de $0.05 USD, mientras que el modelo de OpenAI tomó 12.5 horas y costó $263 USD. Genius funcionó en una laptop estándar, mientras que o1 requería computación en la nube basada en GPU. La compañía presenta estos resultados como evidencia de las superiores capacidades de razonamiento lógico de Genius y sus aplicaciones potenciales en ciberseguridad, detección de fraudes y previsión financiera.
VERSES AI (OTCQB:VRSSF)는 자사의 AI 시스템 Genius™가 코드 브레이킹 게임 마스터마인드에서 OpenAI의 o1 Preview 모델을 능가했다고 발표했습니다. 100게임 테스트에서 Genius는 100% 성공률을 기록했으며, o1의 71%에 비해 140배 더 빠르게 작업을 완료하고 5,260배 더 경제적이었습니다.
주요 성과 지표에 따르면 Genius는 모든 게임을 5분 이상 걸리지 않고 완료했으며, 예상 비용은 $0.05 USD였습니다. 반면 OpenAI의 모델은 12.5시간이 소요되었고 비용은 $263 USD였습니다. Genius는 표준 노트북에서 작동했지만, o1은 GPU 기반의 클라우드 컴퓨팅을 필요로 했습니다. 회사는 이러한 결과를 Genius의 우수한 논리적 추론 능력과 사이버 보안, 사기 탐지, 재무 예측 등에서의 잠재적 응용의 증거로 사용하고 있습니다.
VERSES AI (OTCQB:VRSSF) a annoncé que son système IA Genius™ a surpassé le modèle o1 Preview d'OpenAI dans le jeu de déchiffrage de codes Mastermind. Lors d'un test de 100 parties, Genius a atteint un taux de succès de 100%, contre 71% pour o1, en accomplissant les tâches 140 fois plus rapidement et 5.260 fois plus économiquement.
Les principaux indicateurs de performance montrent que Genius a complété tous les jeux en un peu plus de 5 minutes avec un coût estimé à 0,05 USD, tandis que le modèle d'OpenAI a nécessité 12,5 heures et a coûté 263 USD. Genius a fonctionné sur un ordinateur portable standard, tandis que o1 nécessitait un calcul cloud basé sur GPU. L'entreprise présente ces résultats comme une preuve des capacités supérieures de raisonnement logique de Genius et de ses applications potentielles en cybersécurité, détection de fraudes, et prévisions financières.
VERSES AI (OTCQB:VRSSF) hat bekannt gegeben, dass sein AI-System Genius™ das o1 Preview-Modell von OpenAI im Code-Breaking-Spiel Mastermind übertroffen hat. In einem Test von 100 Spielen erzielte Genius eine Erfolgsquote von 100%, im Vergleich zu 71% von o1, und erledigte Aufgaben 140-mal schneller und 5.260-mal kostengünstiger.
Die wichtigsten Leistungskennzahlen zeigen, dass Genius alle Spiele in etwas mehr als 5 Minuten abschloss, bei geschätzten Kosten von $0,05 USD, während das Modell von OpenAI 12,5 Stunden benötigte und $263 USD kostete. Genius lief auf einem Standard-Laptop, während o1 GPU-basierte Cloud-Computing erforderte. Das Unternehmen sieht in diesen Ergebnissen den Beweis für die überlegenen logischen Denkfähigkeiten von Genius und dessen potenzielle Anwendungen in der Cybersicherheit, der Betrugserkennung und der finanziellen Vorhersage.
- 100% success rate in code-breaking challenge vs. competitor's 71%
- 140x faster performance than OpenAI's o1 Preview model
- Significant cost efficiency: $0.05 vs. $263 for 100 games
- Operates on standard laptop hardware vs. GPU-cloud requirements
- Consistent performance with solve times between 1.1-4.5 seconds
- None.
High-Performance Agent Surpasses Leading AI Model in Accuracy, Speed, and Cost Efficiency
VANCOUVER, British Columbia, Dec. 17, 2024 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”), a cognitive computing company, today revealed performance highlights of its flagship product Genius winning the code-breaking game Mastermind in a side by side comparison with a leading generative AI model, OpenAI’s o1 Preview, which is positioned as an industry-leading reasoning model. Over one hundred test runs, Genius consistently outperformed OpenAI’s o1-preview model one hundred and forty (140) times faster and more than five thousand times (5,000) cheaper.
“Today we’re showcasing Genius’ advanced reasoning performance against state-of-the-art deep learning-based methods that LLMs are based on,” said Hari Thiruvengada, VERSES Chief Technology Officer. “Mastermind was the perfect choice for this test because it requires reasoning through each step logically, predicting the cause-and-effect outcomes of its decisions, and dynamically adapting to crack the code. This exercise demonstrates how Genius outperforms tasks requiring logical and cause-effect reasoning, while exposing the inherent limitations of correlational language-based approaches in today’s leading reasoning models.
“This is just a preview of what’s to come. We’re excited to show how additional reasoning capabilities, available in Genius today and demonstrated with Mastermind, will be further showcased in our upcoming Atari 10k benchmark results,” Thiruvengada continued.
The comparison involved 100 games of Mastermind, a reasoning task requiring the models to deduce a hidden code through logical guesses informed by feedback hints. Key metrics included success rate, computation time, number of guesses, and total cost.
In the exercise, VERSES compared OpenAI advanced reasoning model o1-preview to Genius. Each model attempted to crack the Mastermind code on 100 games with up to ten guesses to crack the code. Each model is given a hint for each guess and must reason about the missing part of the correct answer, requiring all six code colors to be correct to crack the code. For perspective, you can play the game at mastermindgame.org.
A highlight of the results is below. You can find a more detailed description and results of the tests on our blog at verses.ai.
The exercise: VERSES’ team conducted 100 games for each AI model, using the same secret code parameters: 4 positions and 6 possible colors. Results were measured by success rate, computation time, number of guesses, and total cost. The comparison is summarized below:
| Metric | Genius™ | o1-preview | |
| Success Rate | |||
| Total Compute Time | 5 minutes, 18 seconds (Avg 3.1s per game) | 12.5 hours (Avg 345s per game) | |
| Total Cost for 100 Games | |||
| Hardware Requirements | Standard laptop (M1) | GPU-based Cloud | |
Performance Highlights:
- Accuracy and Reliability. Genius solved the code every time in a consistent number of steps.
- Speed. Genius consistently solved games in 1.1–4.5 seconds, while ChatGPT’s solve times ranged from 7.9 to 889 seconds (approximately 15 mins)
- Efficiency. Genius’ total compute time for 100 games was just over 5 minutes, compared to ChatGPT’s 12.5 hours.
- Cost. Genius’ compute cost was estimated at
$0.05 USD for all 100 games, compared to ChatGPT’s o1 model at$263 USD.
In summary, Genius solved Mastermind
“These impressive results highlight a critical gap in today’s AI landscape: the limitations of language-based models like OpenAI’s o1 to handle logical reasoning tasks precisely and reliably,” said Gabriel René, founder and CEO of VERSES. “Mastermind code-breaking is an indicative test that showcases the class of logical reasoning and understanding of cause and effect needed for real-world applications like cybersecurity, fraud detection, and financial forecasting—domains where causality, accuracy, and efficiency are non-negotiable. Genius not only excels at these tasks but does so faster, cheaper, and with unparalleled consistency, making it ideal for addressing complex business challenges. Genius not only excels at these tasks but does so faster, cheaper, and with unparalleled consistency, making it ideal for addressing complex business challenges.”
Mastermind™ is a registered trademark of Pressman Inc.
About VERSES
VERSES is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius, is a suite of tools for machine learning practitioners to model complex dynamic systems and generate autonomous intelligent agents that continuously reason, plan, and learn. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at verses.ai, LinkedIn, and X.
On behalf of the Company
Gabriel René, Founder & CEO, VERSES AI Inc.
Press Inquiries: press@verses.ai
Investor Relations Inquiries
U.S., Matthew Selinger, Partner, Integrous Communications, mselinger@integcom.us 415-572-8152
Canada, Leo Karabelas, President, Focus Communications, info@fcir.ca 416-543-3120
Cautionary Note Regarding Forward-Looking Statements
When used in this press release, the words "estimate", "project", "belief", "anticipate", "intend", "expect", "plan", "predict", "may" or "should" and the negative of these words or such variations thereon or comparable terminology are intended to identify forward-looking statements and information. Although VERSES believes, in light of the experience of their respective officers and directors, current conditions and expected future developments and other factors that have been considered appropriate, that the expectations reflected in the forward-looking statements and information in this press release are reasonable, undue reliance should not be placed on them because the parties can give no assurance that such statements will prove to be correct. The forward-looking statements and information in this press release include, among other things, statements regarding the Company’s goals and plans for future testing of Genius, including the Atari 10K benchmark.
There are risks and uncertainties that may cause actual results to differ materially from those contemplated in those forward-looking statements and information. In making the forward-looking statements in this news release, the Company has applied various material assumptions. By their nature, forward-looking statements involve known and unknown risks, uncertainties and other factors which may cause our actual results, performance or achievements, or other future events, to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. There are a number of important factors that could cause VERSUS' actual results to differ materially from those indicated or implied by forward-looking statements and information. Such factors may include, among other things, the ability of the Company to complete further testing of Genius as anticipated, or at all, and that such further testing will achieve the intended results. The Company undertakes no obligation to comment on analyses, expectations or statements made by third parties in respect of its securities or its financial or operating results (as applicable).
Additionally, forward-looking statements involve a variety of known and unknown risks, uncertainties and other factors which may cause the actual plans, intentions, activities, results, performance or achievements of the Company to be materially different from any future plans, intentions, activities, results, performance or achievements expressed or implied by such forward-looking statements. Such risks include, without limitation: the risk that the Company will be unable to complete further testing of Genius as anticipated, or at all; and risks that the Company will not achieve the intended results in such further testing. VERSES cautions that the foregoing list of material factors is not exhaustive. When relying on VERSES’ forward-looking statements and information to make decisions, investors and others should carefully consider the foregoing factors and other uncertainties and potential events. VERSES has assumed that the material factors referred to in the previous paragraph will not cause such forward-looking statements and information to differ materially from actual results or events. However, the list of these factors is not exhaustive and is subject to change and there can be no assurance that such assumptions will reflect the actual outcome of such items or factors. The forward-looking information contained in this press release represents the expectations of VERSES as of the date of this press release and, accordingly, are subject to change after such date. VERSES does not undertake to update this information at any particular time except as required in accordance with applicable laws.
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