Artificial intelligence

Boston Globe reporters Aaron Pressman and Jon Chesto spotlight Liquid AI, a new startup founded by MIT researchers that is developing an AI system that relies on neural-network models that are “much simpler and require significantly less computer power to train and operate” than generative AI systems. “You need a fraction of the cost of developing generative AI, and the carbon footprint is much lower,” explains Liquid AI CEO Ramin Hasani, a research affiliate at CSAIL. “You get the same capabilities with a much smaller representation.”

Prof. Daron Acemoglu speaks with CNBC about the potential impact of AI in the workplace. “I think the incentive in the industry… especially with the idea that you have to dominate the market by becoming the largest players, I think those are not helping because those are making us rush down the easiest road, the lowest resistance path, which is often automation,” says Acemoglu. “I don’t think that is going to get us the kind of aspirations that are articulated where we can make blue collar workers, electricians, nurses, teachers much more capable because we have given them tools to be better workers and to make much higher quality services.”

Prof. Daniela Rus, director of CSAIL, and research affiliates Ramin Hasani, Mathias Lechner, and Alexander Amini have co-founded Liquid AI, a startup building a general-purpose AI system powered by a liquid neural network, reports Kyle Wiggers for TechCrunch. “Accountability and safety of large AI models is of paramount importance,” says Hasani. “Liquid AI offers more capital efficient, reliable, explainable and capable machine learning models for both domain-specific and generative AI applications." 

Researchers from MIT and elsewhere have developed a new AI technique for teaching robots to pack items into a limited space while adhering to a range of constraints, reports Nick Hilden for Scientific American. “We want to have a learning-based method to solve constraints quickly because learning-based [AI] will solve faster, compared to traditional methods,” says graduate student Zhutian “Skye” Yang.

Postdoctoral associate Wen Shuhao and postdoctoral fellows Ma Jian and Lai Lipeng co-founded Xtalpi, a biotech startup that uses “artificial intelligence to find chemical compounds that could be developed into new drugs,” reports Zinnia Lee for Forbes. “By combining AI, quantum physics, cloud computing and robotic automation, Xtalpi said it helps increase the efficiency and success rate of identifying novel drug compounds,” writes Lee. “The company has recently expanded into discovering new chemical compounds for agricultural technology, cosmetics and other applications.”

Writing for Politico, MIT Prof. Armando Solar-Lezama and University of Texas at Austin Prof. Swarat Chaudhuri examine the recent executive order on AI. “Especially as new ways to train models with limited resources emerge, and as the price of computing goes down,” they write, “such regulations could start hurting the outsiders — the researchers, small companies, and other independent organizations whose work will be necessary to keep a fast-moving technology in check.”

Prof. Daniela Rus, director of CSAIL, speaks with The Boston Globe’s Hiawatha Bray the future of AI. “Everyone is recognizing that AI can have an impact on their business, and they’re just wondering exactly how,” says Rus. She adds that she foresees, “a future where generative AI is not just a technological marvel, but a force for hope and a force for good.”

Writing for the Los Angeles Times, Professors Daron Acemoglu and Simon Johnson examine what the recent issues at OpenAI mean for the future of artificial intelligence. “Sam Altman’s dismissal and rapid reinstatement as CEO of OpenAI, the creator of ChatGPT, confirms that the future of AI is firmly in the hands of people focused on speed and profits, at the expense of all else,” they write. “This elite will now impose their vision for technology on the rest of humanity. Most of us will not enjoy the consequences.”

Joy Buolamwini PhD '22 joins Tonya Mosley on NPR’s Fresh Air podcast to discuss her new book, Unmasking AI: My Mission to Protect What Is Human in a World of Machines. "With the adoption of AI systems, at first I thought we were looking at a mirror, but now I believe we're looking into a kaleidoscope of distortion," Buolamwini says. "Because the technologies we believe to be bringing us into the future are actually taking us back from the progress already made."

Four faculty members from across MIT - Professors Song Han, Simon Johnson, Yoon Kim and Rosalind Picard - speak with Curiosity Stream about the opportunities and risks posed by the rapid advancements in the field of AI. “We do want to think about which human capabilities we treasure,” says Picard. She adds that during the Covid-19 pandemic, “we saw a lot of loss of people's ability to communicate with one another face-to-face when their world moved online. I think we need to be thoughtful and intentional about what we're building with the technology and whether it's diminishing who we are or enhancing it.”

Financial Times reporter Andrew Hill highlights “The Geek Way,” a new book by Principal Research Scientist Andrew McAfee that explores the success behind “geek” culture in companies. Hill notes that McAfee has, “pinpointed some important norms sustaining the world’s most admired, and fastest growing, organizations.”

Principal Research Scientist Andrew McAfee speaks with Bloomberg hosts Carol Massar and Tim Steinbeck about his new book “The Geek Way” and the future of artificial intelligence. “I personally am not worried about the existential, the alignment risks of AI,” says McAfee. “All very powerful tools bring risks and harm with them, and they demand vigilance. We have got to be careful about it. I don’t think AI is any big exception to that trend or requires us to do radically different things, we just have to be vigilant and stop the bad uses.”

Prof. Russ Tedrake and Max Bajracharya '21 MEng '21 speak with TechCrunch reporter Brian Heater about the impact of generative AI on the future of robotics. “Generative AI has the potential to bring revolutionary new capabilities to robotics,” says Tedrake. “Not only are we able to communicate with robots in natural language, but connecting to internet-scale language and image data is giving robots a much more robust understanding and reasoning about the world.”

Researchers from MIT and elsewhere have developed a new 3D printing process that “allows users to create more elastic materials along with rigid ones using slow-curing polymers,” reports Tony Ho Tran for the Daily Beast. The researchers used the system to create a, “3D printed hand complete with bones, ligaments, and tendons. The new process also utilizes a laser sensor array developed by researchers at MIT that allows the printer to actually ‘see’ what it’s creating as it creates it.”

Principal Research Scientist Andrew McAfee speaks with CNBC about the contributing factors to a successful start-up company. “Incumbent industries and companies are so fond of really elaborate planning cycles and the geeks just build things, get feedback and do again on a fast cadence,” says McAfee.