As quickly as generative AI is advancing, the tech will not be but in a spot the place a bot can merely do your taxes for you. But companies like TurboTax and H&R Block are using the expertise to assist customers reply questions on deductions, declarations, and credit, amongst different issues. That means AI has as a lot management over your tax filings as you are keen to offer it.
Per some studies, you might wish to set restrictions on how a lot recommendation you search from bots when making ready to file your taxes, as AI assistants are reportedly struggling to offer correct solutions to lots of the questions they’re being requested. The Washington Post even went as far as to organize an precise take a look at for H&R Block’s AI assistant, claiming that it offered questionable solutions to about 30% of the posed questions and had little understanding of the IRS’s tips regarding cryptocurrency.
Such numbers would appear to bolster the issues some customers have about utilizing generative AI throughout tax prep, significantly as submitting your taxes with inaccurate data can result in an IRS audit, monetary penalties, or worse, and there is little likelihood that auditors shall be giving free passes resulting from AI misinformation or hallucinations. To that time, H&R Block bosses acknowledged to WaPo that the expertise continues to be within the early levels of improvement and are encouraging customers to double-check any recommendation offered by AI assistants.
DS Automobiles introduces ChatGPT, a popular generative AI model, to consumers in Europe
ChatGPT enhances the speech recognition function on DS Automobiles models with DS IRIS SYSTEM, providing drivers with a companion for their travels
The integration of ChatGPT offers a high-tech driving experience
DS IRIS SYSTEM users receive six months of free access to ChatGPT
ChatGPT, a generative AI model, will be available on all DS Automobiles models with DS Iris System, allowing users to access information and perform various tasks while keeping their focus on the road. The technology will be available across the entire DS model range equipped with DS IRIS SYSTEM.
ChatGPT uses language models to understand and generate natural and fluid interactions. With extensive data training, ChatGPT can provide accurate and relevant answers to a wide variety of questions.
The integration of ChatGPT with DS IRIS SYSTEM enables users to enjoy a revolutionary conversational experience, gaining access to useful information and the ability to complete tasks. In a DS vehicle, the chatbot becomes a digital assistant dedicated to enhancing the travel experience.
For instance, drivers can ask for recommendations on cultural or artistic places to visit in Bordeaux, list notable works at the Louvre Museum, create quizzes, or even invent a children’s story during a trip. All of these conversations are made possible with the support of ChatGPT’s artificial intelligence and IRIS speech recognition in DS Automobiles equipped with DS IRIS SYSTEM.
Drivers can activate DS IRIS SYSTEM by saying “OK IRIS” or using the dedicated button on the steering wheel. Voice interaction with the chatbot can then begin without diverting attention from the road.
Olivier Francois, CEO of DS Automobiles, stated, “Our goal at DS is to provide customers with a unique onboard experience. By integrating ChatGPT, we bring a fluid, intuitive, and immersive generative AI to transform every journey into a remarkable adventure. It is a high-tech revolution with limitless potential that aligns with one of the most significant societal transformations of the 21st century.”
Yves Bonnefont, Chief Software Officer of Stellants, the parent company of DS Automobiles, emphasized the fascination with ChatGPT’s conversational AI capabilities. Stellants has diligently worked to integrate ChatGPT into their systems and is proud to be the first to offer this innovation in Europe, aligning with Stellantis’ Dare Forward 2030 strategy.
The integration of “SoundHound AI powered by ChatGPT API” with DS IRIS SYSTEM is available at no extra cost during a six-month pilot phase for the first 20,000 requests on DS 3, DS 4, DS 7, and DS 9. The feature can be activated remotely and is accessible in the United Kingdom, France, Germany, Spain, and Italy in their respective languages.
To learn more about DS Automobiles, visit: www.dsautomobiles.co.uk.
# Toyota Research Institute Unveils Breakthrough in Teaching Robots New Behaviors
## New Generative AI Technique Brings Researchers One Step Closer to Building a “Large Behavior Model”
**LOS ALTOS, Calif. and CAMBRIDGE, Mass. (Sept. 19, 2023)** – Today, Toyota Research Institute (TRI) announced a breakthrough generative AI approach based on Diffusion Policy to quickly and confidently teach robots new, dexterous skills. This advancement significantly improves robot utility and is a step towards building “Large Behavior Models (LBMs)” for robots, analogous to the Large Language Models (LLMs) that have recently revolutionized conversational AI.
“Our research in robotics is aimed at amplifying people rather than replacing them,” said [Gill Pratt](https://www.tri.global/about-us/dr-gill-pratt), CEO of TRI and Chief Scientist for Toyota Motor Corporation. “This new teaching technique is both very efficient and produces very high performing behaviors, enabling robots to much more effectively amplify people in many ways.”
Previous state-of-the-art techniques to teach robots new behaviors were slow, inconsistent, inefficient, and often limited to narrowly defined tasks performed in highly constrained environments. Roboticists needed to spend many hours writing sophisticated code and/or using numerous trial and error cycles to program behaviors.
TRI has already taught robots more than 60 difficult, dexterous skills using the new approach, including pouring liquids, using tools, and manipulating deformable objects. These achievements were realized without writing a single line of new code; the only change was supplying the robot with new data. Building on this success, TRI has set an ambitious target of teaching hundreds of new skills by the end of the year and 1,000 by the end of 2024.
Today’s news also highlights that robots can be taught to function in new scenarios and perform a wide range of behaviors. These skills are not limited to just “‘pick and place” or simply picking up objects and putting them down in new locations. TRI’s robots can now interact with the world in varied and rich ways – which will one day allow robots to support people in everyday situations and unpredictable, ever-changing environments.
“The tasks that I’m watching these robots perform are simply amazing – even one year ago, I would not have predicted that we were close to this level of diverse dexterity,” remarked [Russ Tedrake](https://www.tri.global/about-us/dr-russ-tedrake), Vice President of Robotics Research at TRI. Dr. Tedrake, who is also the Toyota Professor of Electrical Engineering and Computer Science, Aeronautics and Astronautics, and Mechanical Engineering at MIT, explained, “What is so exciting about this new approach is the rate and reliability with which we can add new skills. Because these skills work directly from camera images and tactile sensing, using only learned representations, they are able to perform well even on tasks that involve deformable objects, cloth, and liquids – all of which have traditionally been extremely difficult for robots.”
**Technical details:**
TRI’s robot behavior model learns from haptic demonstrations from a teacher, combined with a language description of the goal. It then uses an AI-based Diffusion Policy to learn the demonstrated skill. This process allows a new behavior to be deployed autonomously from dozens of demonstrations. Not only does this approach produce consistent, repeatable, and performant results, but it does so with tremendous speed.
Key achievements of TRI’s research for this novel development include:
– **Diffusion Policy:** TRI and our collaborators in [Professor Song](https://shurans.github.io/)’s group at Columbia University developed a new, powerful generative-AI approach to behavior learning. This approach, called [Diffusion Policy](https://arxiv.org/abs/2303.04137), enables easy and rapid behavior teaching from demonstration.
– **Customized Robot Platform:** TRI’s robot platform is custom-built for dexterous dual-arm manipulation tasks with a special focus on enabling haptic feedback and tactile sensing.
– **Pipeline**: TRI robots have learned 60 dexterous skills already, with a target of hundreds by the end of the year and 1,000 by the end of 2024.
– **Drake**: Part of our (not so) secret sauce is [Drake](https://drake.mit.edu/), a model-based design for robotics that provides us with a cutting-edge toolbox and simulation platform. Drake’s high degree of realism allows us to develop in both simulation and in reality at a dramatically increased scale and velocity than would otherwise be possible. Our internal robot stack is built using Drake’s optimization and systems frameworks, and we have made Drake open source to catalyze work across the entire robotics community.
– **Safety:** Safety is core to our robotics efforts at TRI. We have designed our system with strong safeguards, powered by Drake and our custom robot control stack, to ensure our robots respect safety guarantees like not colliding with itself or its environment.
[Diffusion Policy](https://arxiv.org/abs/2303.04137) has been published at the 2023 Robotics Science and Systems conference. Additional technical information can be found on [TRI’s Medium blog](https://toyotaresearch.medium.com/2c30b1a8c573).
Please join our LinkedIn Live Q&A session on October 4th from 1 pm – 1:30 pm ET / 10 am – 10:30 am PT, for an opportunity to learn more and hear directly from the TRI robotics research team. Sign up for the event on [TRI’s LinkedIn page](https://www.linkedin.com/events/trilinkedinlive7108154211422408704/theater/).
## About Toyota Research Institute
Toyota Research Institute (TRI) conducts research to amplify human ability, focusing on making our lives safer and more sustainable. Led by Dr. Gill Pratt, TRI’s team of researchers develops technologies to advance energy and materials, human-centered artificial intelligence, human interactive driving, machine learning, and robotics. Established in 2015, TRI has offices in Los Altos, California, and Cambridge, Massachusetts. For more information about TRI, please visit [http://tri.global](http://tri.global).
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