robinandthe7hoods
3 days ago
People have to remember that Verses AI isn't even out of beta yet.
Meanwhile,Open AI and every other LLM is on version 3-4-5.
LLMs are also made for the average joe because they are search engines.
Genius is an operating system that will mainly be used by companies,engineers and developers.
February and March are going to be busy months as they ramp up for public release, signed contracts and a big financing.
LLMs have their own particular use,as does Genius.
Genius will be Google,Microsoft,and Apple,while LLMs will be Yahoo,Google Search,and Bing.
They will be used in tandem.
The interesting question is will Genius be available for all current devices owned by Apple, Google and Microsoft or will Genius sign with only one of them?
They seem to announce their Atari tests are done on MacBooks,but have Microsoft around them all the time.
Or,might they team up with an LLM and put out their own devices?
The most interesting news coming,imo,is which devices are going to be used and announced,because they have said they wanted to be an APP Store for developers,so can you do that on someone else's devices?
But,they are not a search engine,they are basically a robotics o/s,so what will the setup be with devices and which ones?
Lots to come in a short period of time,but not before they are out of beta.
robinandthe7hoods
1 week ago
Interesting to see the different sectors that are trying out Genius to see how it works in environments that have no answer for their particular problems.
Telecoms can't find a solution to the fraud they deal with every year.Even the 3-letter agencies can't solve them.It's like tracing a phone call,but multiplied by 100.
And trying to figure out which sectors or stocks to invest in with a program is a fool's game.
Both of these beta partnerships are experiments,to see if it's possible.
Verses can come out of the Beta Phase,and go commercial,and still run Betas for new potential customers.This will always be the case.No one knows for sure if it can work for their particular problem.
This is how all software works,or the pulp industry,chemicals etc,which test their products with potential customers to see if the mix between the two can work into something better.
It is clear these beta customers are testing the predictability and learning claims of Genius after seeing the Atari results in person and talking to the company at Davos.
The Atari results were stunning.
Imo,these two new sectors are next to impossible to break down.If they show any promise,they have done something never done before.
Bandicoot_Inv
2 weeks ago
VERSES® Partners with Top Australian Telecom for Genius™ Beta
VANCOUVER, British Columbia, Jan. 27, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”), a cognitive computing company specializing in next generation intelligent systems, announces that a leading Australian telecommunications company has joined the Genius beta program to focus on one of the largest issues plaguing their industry globally: fraudulent or illegal use of telecommunications services.
According to credit reporting agency, TransUnion, in 2023 $38.95 Billion was lost to telecom fraud and a report by The Global Leaders’ Forum (GLF), a network of leaders from the world’s largest international carriers, found that 64% of carriers state that fraudulent traffic is a top priority. One of the most common issues telecom operators face today is the prevalence of fraudulent access or hijacked accounts. Although there have been many advances in multi-factor authentication, there are just as many workarounds and hacks to circumvent them.
The telecom provider is eager to implement Genius Agents given their unique ability to model complex dynamic systems, quantify uncertainty, and continuously learn how to make increasingly more accurate predictions.
“VERSES is attracting more large-scale opportunities at an enterprise level where the organization is excited about the capabilities and prospects that Genius provides,” said Michael Wadden, VERSES Chief Commercial Officer. “Genius’ unique ability to continuously reason, predict and act addresses a category of real-world problems that the latest LLMs like OpenAI’s o1 or Deepseek’s R1 still struggle to reliably solve. In this scenario potentially mitigating fraud at scale would create exceptional value for the provider.”
https://www.globenewswire.com/news-release/2025/01/27/3015574/0/en/VERSES-Partners-with-Top-Australian-Telecom-for-Genius-Beta.html
Bandicoot_Inv
2 weeks ago
VERSES Genius™ Agent Outperforms Leading AI Algorithms at Major Industry Benchmark
Demonstrating High Performance in “Atari Challenge” with 90% Less Data, 96% Faster Training, 96% Smaller Model Size; Applicable to Real-World Challenges
https://www.globenewswire.com/news-release/2025/01/22/3013198/0/en/VERSES-Genius-Agent-Outperforms-Leading-AI-Algorithms-at-Major-Industry-Benchmark.html
VANCOUVER, British Columbia, Jan. 22, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQB:VRSSF) ("VERSES'' or the "Company”), a cognitive computing company specializing in next-generation intelligent systems, has shared preliminary results on its variant of the “Atari 100K Challenge” a leading AI industry benchmark, where software agents must learn gameplay proficiency, on their own, using a limited amount of training data.
The results, which can be found in a blog post on the Company’s website titled “Mastering Atari Games with Natural Intelligence,” showcase how agents powered by GeniusTM, a toolkit for developing intelligent agents, were able to match or exceed the performance of state-of-the-art Deep Reinforcement Learning (DRL) and Transformer algorithms using 90% less data. DRL is the algorithm that underpins work such as Google Deepmind’s AlphaZero, AlphaGo, and AlphaFold, while Transformers are the foundation of Generative AI and LLMs like OpenAI’s GPT, and other popular models like Anthropic’s Claude, Google’s Gemini, Meta’s Llama, X.AI’s Grok and others.
“The Atari Challenge represents more than just machines playing games. Video games are a proxy for the complex dynamic systems all around us,” said Gabriel René, founder and CEO of VERSES. “We need AI to help us to better navigate the complexity and uncertainty of the real-world; yet state-of-the-art AI algorithms remain too unreliable, inefficient and unexplainable. While there is more work to be done to productize this research into Genius, we believe these early results and the research behind them signal a historical shift towards developing smarter, safer and more scalable AI.”
The Atari 100k benchmark has been used to test an agent's ability to excel in three critical areas: interactivity, generalization, and efficiency. VERSES’ variant, known as “Atari 10k,” tests for these same capabilities, using only 1/10th of the sample data. This increase in efficiency reduces the need to rely on large datasets and compute architectures, and indicates applicability to real-world problems where data can be sparse, incomplete, noisy, and where learning may need to occur in real time. Genius agents have demonstrated these capabilities across multiple Atari games by efficiently learning about the objects and physical mechanics of the game environments through interaction, on their own, without the need for human supervision. By learning the hidden cause-effect dynamics in the games, the agents were able to better predict outcomes and select optimal actions to outperform the state-of-the-art models even across multiple games with different objects, dynamics and goals. In contrast, DRL and Transformer architectures must rely on substantial training data and compute as well as bespoke tuning to ‘fit’ with the gameplay mechanics.
“By aligning with how intelligence has evolved in nature and how energy efficient biological systems must act to preserve their existence, we believe that the architecture and methods that underwrite Genius offer a sustainable and scalable means to building ecosystems of authentic, autonomous and agentic intelligence,“ said Karl Friston, VERSES Chief Scientist.
“By Applying the Free Energy Principle, the Active Inference framework, and Bayesian Machine Learning, we are working on developing an efficient and generalized architecture that allows intelligent agents to learn and develop expertise across any domain,“ said Hari Thiruvengada, VERSES Chief Technology Officer. “The reasoning, planning, and online learning capabilities that allow a Genius Agent to engage in dynamic gameplay is extremely relevant to applications such as classification, recommendations, prediction, and decision-making across a variety of industries, including financial, medical, risk analysis, autonomous driving, robotics and more.”
For a more detailed description and videos of gameplay visit our blog at verses.ai.