COLOR ME BLIND: LOTS OF BIG PROMISES But NO REAL PRODUCT- it is BOTH ENERGY & DATA EFFICIENT {GREAT !}
- it is FOOTPRINT & INFRASTRUCTURE LIGHT {AWESOME !} Preliminary results demonstrate that Verses's active-inference-based Bayesian models can achieve comparable or better performance than state-of-the-art reinforcement learning models, such as the No. 1-ranked BBF (Bigger, Better, Faster) from Google's Deepmind, and other deep learning transformer-based models that power OpenAI, Anthropic and Meta's to LLMs (large language models), and all generative AI (artificial intelligence) models across multiple games, using 90 per cent less data and 96 per cent less compute and resulting in models that are up to 97 per cent smaller in size, which is key to operating on low-power devices. In addition, the performance of Verses's model was conducted on the equivalent of a CPU (central processing unit) versus the GPU (graphics processing unit) architecture required for the other algorithms. A more comprehensive update on Atari results is forthcoming.
The Atari benchmarks come on the heels of Verses sharing results demonstrating how an agent, powered by Genius, outperformed OpenAI's o1-Preview, considered the industry-leading reasoning model on the code-breaking test Mastermind. Genius consistently outperformed o1-Preview by reliably solving the code 100 per cent of the time versus o1-Preview's 71-per-cent accuracy rate while performing 140 times faster and costing 5,260 times less.
- the REAL WORLD is NOT an ATARI SIMULATION
- however, WHAT can it REALLY DO in the REAL WORLD ? Commercial projects
The initial smart-city project in partnership with Analog for simulating taxi fleet management in Abu Dhabi is progressing well, and the discovery phase is on schedule.
MyTake:
- it 'appears' that the VERS share price is RUNNING AWAY from the FUNDAMENTALS
- remember, the CURRENT AI PROCESSING is NOT INTELLIGENT AT ALL but rather a POOR and ENERGY-INTENSIVE IMITATION
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