Wondering if AI advancements are slowing down in 2025?
Wondering if AI advancements are slowing down in 2025?
Yesterday at CES 2025, CEO Jensen Huang's, announced an AI ready mini-supercomputer that will fit in the palm of your hand!
As I start 2025, it is AI that keeps me excited about technology and concerned about the future and its impact on us mere humans.
Technology and industrial advances have changed communities and impacted everyday people for generations.
Advancements in AI, are at a pace that we have not seen in previous technology eras.
These are some of advancements in 2024, this summary is courtesy of ChatGPT and GPT40. The table coded in HTML is courtedy of ChatGPT 40 as well.
Company | Model/Technology | Advancements/Improvements |
---|---|---|
Gemini Ultra | Multimodal integration across Google products. Enhanced user experience with more advanced AI capabilities. | |
Gemma | Smaller, more efficient model with 7 billion parameters trained on 6 trillion tokens. Improved efficiency for various tasks. | |
IBM | Granite Code Models | Introduced code generation and debugging capabilities. Open-source, Apache 2.0 license for greater accessibility. |
Meta | Llama 3.1 | Released the largest-ever open-source AI model with 405 billion parameters. Claimed to outperform GPT-4o and Anthropic’s Claude 3.5 Sonnet on several benchmarks. |
Llama 3.2 | Introduced multimodal capabilities, allowing processing of text, images, and audio. Suitable for applications in robotics, virtual reality, and AI agents. | |
Llama 3.3 | Enhanced efficiency, delivering performance comparable to Llama 3.1 405B at a lower cost. Text-only model with 70 billion parameters. | |
Movie Gen | AI tool can generate videos up to 16 seconds based on text prompts. Outperforms similar models from competitors in human evaluations. | |
Motivo AI Model | Designed to control the movement of human-like digital agents in the Metaverse. Enhances immersive experiences by improving interaction within virtual environments. | |
NVIDIA | NVLM 1.0 | A family of frontier-class multimodal large language models (LLMs) that achieve state-of-the-art results on vision-language tasks |
Nemotron-4 340B | Introduced the Nemotron-4 340B model family, including Base, Instruct, and Reward models. Open access under the NVIDIA Open Model License Agreement, allowing distribution, modification, and use of the models and their outputs. | |
Project GR00T | Unveiled Project GR00T, a general-purpose multimodal generative AI model designed specifically for training humanoid robots. | |
Blackwell Architecture | Announced the Blackwell architecture with B100 and B200 data center accelerators. Emphasized as a processor for the generative AI era, combining accelerators with NVIDIA's ARM-based Grace CPU. | |
Cosmos AI Model | Launched Cosmos, a family of AI models that can generate images and 3D models to train humanoid robots, industrial robots, and self-driving cars. Trained on extensive footage of human activities to help robots understand the physical world better. | |
Fugatto AI Audio Generator | Introduced Fugatto, an AI audio generator capable of creating unprecedented sounds, such as a trumpet that meows. It can generate music, unique sound effects, and speech alterations based on text and audio inputs it wasn't specifically trained on. | |
OpenAI | GPT-4o | Multimodal capabilities (text, image, audio). Faster performance with reduced costs compared to GPT-4 Turbo. |
GPT-4o Mini | Compact version of GPT-4o. Cost-effective, aimed at startups and businesses needing efficient integration. | |
o1 Model | Reasoning capabilities for more human-like thinking. Focused on moving beyond traditional prediction-based AI models. | |
o3 Model | Successor to the o1 model, with enhanced reasoning capabilities. Designed to deliberate over questions, improving performance on complex tasks such as coding, mathematics, and science. Introduces a "private chain of thought" for step-by-step logical reasoning. Available in two versions: o3 and o3-mini, with o3-mini offering adjustable reasoning time settings. |
Jensen Huang's, made more announcements at the CES2025 kick off from new processors, supercomputers, models and blueprints for Agentic AI, Warehouse Automation, Robots, and Automated Vehicles.
Discussing Agentic AI digital workers, he mentioned blueprints for onboarding digital workers which will turn IT into digital HR for the onboarding AI Agents/Digital workers to teach them how the organization works, standards, and even guard rails to ensure the agents don’t overstep their bounds and only complete the work they are hired for.
AI is already changing our world, but it is rapidly moving from assisting us to be better workers to replacing human work.
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