robinandthe7hoods
4 hours 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
3 days 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 "Companyโ), 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 Leadersโ Forum (GLF), a network of leaders from the worldโs 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.
โVERSES is attracting more large-scale opportunities at an enterprise level where the organization is excited about the capabilities and prospects that Genius provides,โ said Michael Wadden, VERSES Chief Commercial Officer. โGeniusโ unique ability to continuously reason, predict and act addresses a category of real-world problems that the latest LLMs like OpenAIโs o1 or Deepseekโs R1 still struggle to reliably solve. In this scenario potentially mitigating fraud at scale would create exceptional value for the provider.โ
https://www.globenewswire.com/news-release/2025/01/27/3015574/0/en/VERSES-Partners-with-Top-Australian-Telecom-for-Genius-Beta.html
Bandicoot_Inv
1 week ago
VERSES Genius™ Agent Outperforms Leading AI Algorithms at Major Industry Benchmark
Demonstrating High Performance in โAtari Challengeโ 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 "Companyโ), a cognitive computing company specializing in next-generation intelligent systems, has shared preliminary results on its variant of the โAtari 100K Challengeโ 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 Companyโs website titled โMastering Atari Games with Natural Intelligence,โ 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 Deepmindโs AlphaZero, AlphaGo, and AlphaFold, while Transformers are the foundation of Generative AI and LLMs like OpenAIโs GPT, and other popular models like Anthropicโs Claude, Googleโs Gemini, Metaโs Llama, X.AIโs Grok and others.
โThe Atari Challenge represents more than just machines playing games. Video games are a proxy for the complex dynamic systems all around us,โ said Gabriel René, founder and CEO of VERSES. โWe 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.โ
The Atari 100k benchmark has been used to test an agent's ability to excel in three critical areas: interactivity, generalization, and efficiency. VERSESโ variant, known as โAtari 10k,โ 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 โfitโ with the gameplay mechanics.
โBy 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,โ said Karl Friston, VERSES Chief Scientist.
โBy 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,โ said Hari Thiruvengada, VERSES Chief Technology Officer. โThe 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.โ
For a more detailed description and videos of gameplay visit our blog at verses.ai.
Bandicoot_Inv
2 weeks ago
VANCOUVER, British Columbia , Jan. 13, 2025 (GLOBE NEWSWIRE) -- VERSES AI Inc a cognitive computing company specializing in next generation intelligent systems, today announces that Chief Scientist Karl Friston and members of their senior leadership team will be returning to The World Economic Forum Annual Meeting 2025, taking place on January 20-24th in Davos, Switzerland , where they will participate in a number of meetings, panels and interviews.
During this event VERSES plans to release an update on the previously announced Atari 10K Challenge. Preliminary results have demonstrated that VERSES Active Inference-based models can achieve comparable or better performance than current state-of-the-art reinforcement learning models using just 90% less data (10k frames) and a fraction of the compute. The update will contain results and video demonstrations of VERSES meeting or exceeding human-level performance on multiple Atari games.
robinandthe7hoods
4 weeks ago
If you do a lot of reading,even industry experts admit they have no idea what they'll be able to do with LLMs and how to make them profitable.
Even at this stage,they are an interesting toy.If they raise the price to play around with them,who would be willing to pay for it?
Businesses are still tinkering with them,knowing they aren't trustworthy enough to be left on their own,for the most part.
But everybody wants to build even more AI data centres for LLMs.Even Keven O'Leary is proposing a $70 billion centre in Alberta.
Current AI is a 2D configuration,meanwhile everyone knows the next generation must go to 3D and 4D.
It is also admitted by industry insiders that current AI can't reach AGI as is.
But,along comes Verses AI,which is 3D and 4D based AI,and which operates at a much lower cost base than LLMs,AND CAN ACTUALLY THINK!
It appears that true AGI is within reach now,by applying the power of the LLMs with the reasoning and cost savings of Verses.
It may also appear like the LLM operators are ignoring Verses at the moment.
Imo,by the end of this year,they will all be coming on board to add Verses 'Genius' to their own models,so they can finally finish building their product ahead of time, but also have it be profitable earlier,while entering the 3D and 4D format.
Genius is adaptable over different product lines and formats,while LLMs on their own are not.
This year will be interesting,while we wait for them to come to us,which WILL happen.
Either the LLMs partner with Verses,or Verses has to go into building their own computer/phone lines and LLM data centers to get the entire potential out of this product
These are the only two options.
Partnerships/buyouts with/for LLMs are coming.
These are the only two options for both sides.
Which LLMs are going to survive,and which are going to die?