Robotics Revolution: Unitree G1 and Astribot S1 ,Eric Schmidt on the Future of AI, Waymo Doubles Weekly Robotaxi Trips, AI's Impact on Coding....
Dhamodharan Sankaran
Technology Leader | Conversational AI | Digital Transformation | Customer Centricity | Agile | Results-Oriented | Engineer | Architect | Shaping High Performing teams | Collaborator
The Rise of Home Robots
The robotics industry is rapidly evolving, with recent developments showcasing significant advancements in humanoid and home assistance robots. This week, Unitree and Astribot launched newer versions of their robots, showcasing the rapid evolution of the industry.
Eric Schmidt on AI's Future
Schmidt predicts a future with AI models having massive context windows, coupled with the development of AI agents and text-to-action capabilities, which will have a profound impact on the world.
Waymo's Milestone
Waymo has doubled its paid robotaxi rides to over 100,000 per week in the US, expanding its service area and claiming superior safety performance compared to human drivers.
Amazon's View on the Future of Coding
AWS CEO Matt Garman suggests a future where developers focus more on innovation and building products aligned with customer needs, as AI handles more programming tasks. AWS emphasizes the importance of upskilling developers to harness AI in their workflow.
AI Business Model Shifts
Cohere CEO Aidan Gomez highlights the challenges AI startups face as selling model access becomes a "zero margin business" due to competitive price dumping. He suggests focusing on applications and products may be a more sustainable revenue path in the short term.
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Data Center Water Consumption
The increasing demand for AI is driving up water consumption in data centers, raising environmental concerns.The AI boom is fueling the demand for data centers and, in turn, driving up water consumption. (Water is used to cool the computing equipment inside data centers.) According to FT, in Virginia — home to the world’s largest concentration of data centers — water usage jumped by almost two-thirds between 2019 and 2023, from 1.13 billion gallons to 1.85 billion gallons.
AI Business Model Shifts
Cohere CEO Aidan Gomez highlights the challenges AI startups face as selling model access becomes a "zero margin business" due to competitive price dumping. He suggests focusing on applications and products may be a more sustainable revenue path in the short term.
AI Model Advancements
OpenAI's GPT-4 Fine-Tuning
OpenAI has made fine-tuning available for GPT-4, allowing developers to enhance model performance and customize outputs for specific applications. Key points:Available for both GPT-4 and GPT-4 mini modelsHelps tailor responses, optimize tone, and meet domain-specific requirements1M free training tokens per day through September 23 - Link
Microsoft's Phi-3.5-mini Model
Microsoft introduced the Phi-3.5-mini model, a compact yet advanced AI designed for tasks requiring strong reasoning in memory-constrained environments. Features include:128K token context length for long document processingFocus on high-quality dataSuitable for various applications requiring advanced reasoning - Link
Mistral-NeMo-Minitron 8B
NVIDIA and Mistral AI's new model sets a benchmark in accuracy for its size category, achieving leading performance across nine popular benchmarks. Link
Ideogram 2.0
Ideogram has released version 2.0, enhancing its image generation capabilities with a focus on superior quality and customization, including a beta API for developers. - Link
RAG ?Implementation Challenges