AI with AI explores the latest breakthroughs in artificial intelligence and autonomy, and discusses the technological and military implications. Join Andy Ilachinski and David Broyles as they explain the latest developments in this rapidly evolving field.
The views expressed here are those of the commentators and do not necessarily reflect the views of CNA or any of its sponsors.
The AI Who Loved Me
Andy and Dave once again welcome Sam Bendett, research analyst with CNA’s Russia Studies Program, to the podcast to discuss the latest unmanned and autonomous news from the Ukraine and Russian conflict. The group discusses the use and role of commercial quadcopters, the recent Black Sea incident involving unmanned systems, and the supply of Iranian systems to Russia. They also discuss the Wagner Group’s Research and Development center, and its potential role in the Ukraine-Russian conflict.
Will Ukraine deploy lethal autonomous drones against Russia?
PMC Wagner Center:
Coordinated drone attack at Sevastopol:
Iranian supply of drones to Russia:
Russia's "brain drain" problem:
Drawing Outside the Box
Andy and Dave discuss the latest in AI-related news and research, including a bill from the EU that will make it easier for people to sue AI companies for harm or damages caused by AI-related technologies. The US Office of S&T Policy releases a Blueprint for an AI Bill of Rights, which further lays the groundwork for potential legislation. The US signs the AI Training for the Acquisition Workforce Act into law, requiring federal acquisition officials to receive training on AI, and it requires OMB to work with GSA to develop the curriculum. Various top robot companies pledge not to add weapons to their technologies and to work actively at not allowing their robots to be used for such purposes. Telsa reveals its Optimus robot at its AI Day. DARPA will hold a proposal session on 14 November for its AI Reinforcements effort. OpenAI makes DALL-E available for everybody, and Playground offers access to both DALL-E and Stable Diffusion. OpenAI also makes available the results of an NLP Community Meta survey in conjunction with NY University, providing AI researchers’ views on a variety of AI-related efforts and trends. And Nathan Benaich and Ian Hogarth release the State of AI Report 2022, which covers a summary of everything from research, politics, safety, as well as some specific predictions for 2023. In research, DeepMind uses AlphaZero to explore matrix multiplication and discovers a slightly faster algorithm implementation for 4x4 matrices. Two research efforts look at turning text into video. Meta discusses its Make-A-Video for turning text prompts into video, leveraging text-to-image generators like DALL-E. And Google Brain discusses its Imagen Video (along with Phenaki, which produces long videos from a sequence of text prompts). The Foundation of Robotics is the open-access book of the week from Damith Herath and David St-Onge. And the video of the week addresses AI and the Application of AI in Force Structure, with LtGen (ret) Groen, Dr. Sam Tangredi, and Mr. Brett Vaughan joining in on the discussion for a symposium at the US Naval Institute.
Rebroadcast: AI-chemy 2: This Time It's Personal (Part 2)
Dr. Anya Fink from CNA’s Russia Studies program joins the podcast to discuss the impacts of global sanctions on Russia’s technology and AI sector.
Keep Watching the AIs!
Andy and Dave discuss the latest in AI news and research, starting with a publication from the UK’s National Cyber Security Centre, providing a set of security principles for developers implementing machine learning models. Gartner publishes the 2022 update to its “AI Hype Cycle,” which qualitatively plots the position of various AI efforts along the “hype cycle.” PromptBase opens its doors, promising to provide users with better “prompts” for text-to-image generators (such as DALL-E) to generate “optimal images.” Researchers explore the properties of vanadium dioxide (VO2), which demonstrates volatile memory-like behavior under certain conditions. MetaAI announces a nascent ability to decode speech from a person’s brain activity, without surgery (using EEG and MEG). Unitree Robotics, a Chinese tech company, is producing its Aliengo robotic dog, which can carry up to 11 pounds and perform other actions. Researchers at the University of Geneva demonstrate that transformers can build world models with fewer samples, for example, able to generate “pixel perfect” predictions of Pong after 120 games of training. DeepMind AI demonstrates the ability to teach a team of agents to play soccer by controlling at the level of joint torques and combine it with longer-term goal-directed behavior, where the agents demonstrate jostling for the ball and other behaviors. Researchers at Urbana-Champaign and MIT demonstrate a Composable Diffusion model to tweak and improve the output of text-to-image transformers. Google Research publishes results on AudioLM, which generates “natural and coherent continuations” given short prompts. And Michael Cohen, Marcus Hutter, and Michael Osborne published a paper in AI Magazine, arguing that dire predictions about the threat of advanced AI may not have gone far enough in their warnings, offering a series of assumptions on which their arguments depend.
Andy and Dave discuss the latest in AI news and research, starting with DARPA moving into Phase 2 of its No Manning Required Ship (NOMARS) program, having selected Serco Inc for its Defiant ship design. The UK releases a roadmap on automated vehicles, Connected & Automated Mobility 2025, and describes new legislation that will place liability for the actions of self-driving vehicles onto manufacturers, and not the occupants. The DOD’s Chief Digital and AI Office is preparing to roll out Tradewinds, an open solutions marketplace geared toward identifying new technologies and capabilities. The US bans NVIDIA and AMD from selling or exporting certain types of GPUs (mostly for high-end servers) to China and Russia. A report in Nature examines the “reproducibility crisis” involving machine learning in scientific articles, identifying eight types of “data leaks” in research that raise cause for concern. Google introduces a new AI image noise reduction tool that greatly advances the state of the art for low lighting and resolution images, using RawNeRF, which makes use of the previous neural radiance fields approach, but on raw image data. Hakwan Lau and Oxford University Press make available for free In Consciousness We Trust: the Cognitive Neuroscience of Subjective Experience. And Sam Bendett joins Andy and Dave to discuss the latest from Russia’s Army 2022 Expo and other recent developments around the globe.
Andy and Dave discuss the latest in AI and autonomy news and research, including an announcement that the Federal Trade Commission is exploring rules for cracking down on harmful commercial surveillance and lax data security, with the public having an opportunity to share input during a virtual public form on 8 September 2022. The Electronic Privacy Information Center (EPIC), with help from Caroline Kraczon, releases The State of State AI Policy, a catalog of AI-related bills that states and local governments have passed, introduced or failed during the 2021-2022 legislative season. In robotics, Xiaomi introduces CyberOne, a 5-foot 9-inch robot that can identify “85 types of environmental sounds and 45 classifications of human emotions.” Meanwhile at a recent Russian arms fair, Army-2022, a developer showed off a robot dog with a rocket-propelled grenade strapped to its back. NIST updates its AI Risk Management Framework to the second draft, making it available for review and comment. DARPA launches the SocialCyber project, a hybrid-AI project aimed at helping to protect the integrity of open-source code. BigScience launches BLOOM (BigScience Large Open-science Open-access Multilingual Language Model), a “bigger than GPT-3” multilanguage (46) model that a group of over 1,000 AI researchers has created, that anyone can download and tinker with it for free. Researchers at MIT develop artificial synapses that shuttle protons, resulting in synapses 10,000 times faster than biological ones. China’s Comprehensive National Science Center claims that it has developed “mind-reading AI” capable of measuring loyalty to the Chinese Communist Party. Researchers at the University of Sydney demonstrate that human brains are better at identifying deepfakes than people, by examining results directly from neural activity. Researchers at the University of Glasgow combine AI with human vision to see around corners, reconstructing 16x16-pixel images of simple objects that the observer could not directly see. GoogleAI publishes research on Minerva, using language models to solve quantitative reasoning problems, and dramatically increasing the SotA. Researchers from MIT, Columbia, Harvard, and Waterloo publish work on a neural network that solves, explains, and generates university math problems “at a human level.” CSET makes available the Country Activity Tracker for AI, an interactive tool on tech competitiveness and collaboration. And a group of researchers at Merced’s Cognitive and Information Sciences Program make available Neural Networks in Cognitive Science.
Informative, stimulating and well researched
Interesting interviews (Xenobots!) with analysts and AI researchers, and extremely useful resources for the practitioner, enthusiast or policy-maker (AI links and other resources, book reviews, and gimlet-eyed analysis and clear explanations of the latest AI research and potential societal and military implications).
Definitely worth “the price of admission”.
One of my favorites
Whether you’re a practitioner or just curious, this is a really fantastic podcast with tons of great resources. Thanks Andy!
As a actual practitioner I like this because it covers actual papers and stays away from the enthusiast / crazy speculation. Just regular discussion of developments in the field.