The Massachusetts Institute of Technology has come up what it thinks is a better way to teach robots general purpose skills. Derived from LLM techniques, the method provides robot intelligence access to an enormous amount of data at once, rather than exposing it to individual programs for specific tasks. Faster and more cost efficient, the approach has been referred to as a “brute force” approach to problem-solving, and machine learners have taken to it in lieu of individualized, task-specific “imitation learning.” Early tests show it outperforming traditional training by more than 20 percent under simulation and real-world conditions. Continue reading MIT Intros LLM-Inspired Teacher for General Purpose Robots

In its first week of public beta, Anthropic’s “Computer Use” feature is gaining immediate traction, helping people do research and complete coding tasks. Claude works autonomously in Computer Use mode, suggesting broad implications for future productivity and workforce goals. Coming on the heels of OpenAI’s Swarm framework, these early forays into independent AI assistants seem to indicate that implementing such systems will be an area of focus for businesses in 2025. Claude can “see” what’s onscreen and use its “judgment” to adapt to different tasks, segueing across workflows and software. Continue reading Anthropic’s AI Agents for Claude Sonnet Increase Productivity

OpenAI is taking a new approach to generating media that it says is 50 times faster than the models commonly used today. Called sCM, the approach is a “consistency model,” a variation on the diffusion method used by many leading systems. OpenAI claims its new model is ideal for training for large scale datasets and generating video, audio and images that are of “comparable sample quality to leading diffusion models.” Such models often require hundreds of steps, creating challenges when it comes to real-time applications. OpenAI aims to change this with a faster system that requires less power. Continue reading OpenAI: sCM Generates Media 50x Faster Than Other Models

A new study by Roku and National Research Group found that streaming may be a more effective marketing tool for theatrical exhibition than social media or television. According to the research, 44 percent of what the survey categorizes as “moviegoing streamers” claim a trailer on a streaming service would increase their interest in seeing a film in a theater while 43 percent indicate the same of trailers on social media. These numbers slightly edged out the 41 percent who say ads on broadcast or cable TV would encourage them to visit a theater. However, it’s worth noting that the survey also suggests 72 percent pay more attention to TV commercials than ads on social platforms. Continue reading Roku and NRG Study Finds Streaming Benefits Theater-Going

VFusion3D is the latest AI model unveiled by Meta Platforms, which developed it in conjunction with the University of Oxford. The powerful model, which uses single-perspective images or text prompts to generate high-quality 3D objects, is being hailed as a breakthrough in scalable 3D AI that can potentially transform sectors including VR, gaming and digital design. The platform tackles the challenge of scarce 3D training data in a world teeming with 2D images and text descriptions. The VFusion3D approach leverages what the developers call “a novel method for building scalable 3D generative models utilizing pre-trained video diffusion models.” Continue reading Meta, Oxford Advance 3D Object Generation with VFusion3D

OpenAI has partnered with the Los Alamos National Laboratory to study the ways artificial intelligence frontier models can assist with scientific research in an active lab environment. Established in 1943, the New Mexico facility is best known as home to the Manhattan Project and the development of the world’s first atomic bomb. It currently focuses on national security challenges under the direction of the Department of Energy. As part of the new partnership, the lab will work with OpenAI to produce what it describes as a first-of-its-kind study on the impact of artificial intelligence and biosecurity. Continue reading OpenAI Teams with Los Alamos for Frontier Model Research

Ilya Sutskever — who last month exited his post as chief scientist at OpenAI after a highly publicized power struggle with CEO Sam Altman — has launched a new AI company, Safe Superintelligence Inc. Sutskever’s partners in the new venture are his former OpenAI colleague Daniel Levy and Daniel Gross, who founded the AI startup Cue, which was acquired by Apple where Gross continued in an AI leadership role. “Building safe superintelligence (SSI) is the most important technical problem of our​​ time,” the trio posted on the company’s one-page website, stating its goal is to “scale in peace.” Continue reading Sutskever Targets Safe Superintelligence with New Company

More U.S. youth are relying on TikTok for news, according to a study by the Pew Research Center, which says young adults increasingly believe the short-form social video platform exposes them to information they don’t see elsewhere, even though they don’t primarily associate it with news. Among those who use TikTok, only 15 percent cite “news” as a major incentive for using the app. The study, which examines American news consumption on social media platforms, found X to be the most popular news source across all demographics, beating Meta’s Facebook and Instagram as well as ByteDance’s TikTok. Continue reading Pew Says Youth Turn to TikTok for News, but X Tops Overall

Bundling is back. Following the cord-cutting that led to a decline in content subscriptions, consumers now indicate they want multi-service deals, with discounts and choice as to what type of content is included. A new study from Hub Entertainment Research indicates that traditional SVODs have declined overall in household usage while areas such as gaming, music, podcasts and social media have increased. “TV is no longer the center of the entertainment universe,” the study suggests, noting premium video only accounts for about 6.3 percent of consumers’ total entertainment sources. Continue reading Study Finds Many Consumers Seeking Multi-Service Bundles

The Biden Administration has opened a call for applications for $285 million in funding for a national research institute that will develop semiconductor “digital twins,” software representations of semiconductor hardware that live in the cloud, where teams can collaborate remotely to design, test and analyze the components, allowing engineers to discover and address problems before the manufacturing process begins. The CHIPS Manufacturing USA institute will be the hub for companies and organizations advancing this work, which is meant to decrease domestic reliance on foreign-sourced chips as a matter of national security. Continue reading Government Commits $285 Million for ‘Digital Twin’ Research

The trend toward small language models that can efficiently run on a single device instead of requiring cloud connectivity has emerged as a focus for Big Tech companies involved in artificial intelligence. Apple has released the OpenELM family of open-source models as its entry in that field. OpenELM uses “a layer-wise scaling strategy” to efficiently allocate parameters within each layer of the transformer model, resulting in what Apple claims is “enhanced accuracy.” The “ELM” stands for “Efficient Language Models,” and one media outlet couches it as “the future of AI on the iPhone.” Continue reading Apple Unveils OpenELM Tech Optimized for Local Applications

Microsoft and Quantinuum have improved the logical error rate in quantum computing by 800x, a breakthrough the partners say has the potential to usher in a new era of qubit processing. Using ion-trap hardware from Quantinuum and a qubit-virtualization system from Microsoft, the team ran more than 14,000 experiments with no errors — a huge feat in the notoriously fickle realm of qubits. The system has error diagnostics and corrections built in, identifying which errors need to be fixed and correcting them without destroying the underlying logical qubits, according to the companies. Continue reading Microsoft, Quantinuum Tout Advance in Quantum Computing

Researchers from the Massachusetts Institute of Technology and Adobe have unveiled a new AI acceleration tool that makes generative apps like DALL-E 3 and Stable Diffusion up to 30x faster by reducing the process to a single step. The new approach, called distribution matching distillation, or DMD, maintains or enhances image quality while greatly streamlining the process. Theoretically, the technique “marries the principles of generative adversarial networks (GANs) with those of diffusion models,” consolidating “the hundred steps of iterative refinement required by current diffusion models” into one step, MIT PhD student and project lead Tianwei Yin says. Continue reading New Tech from MIT, Adobe Advances Generative AI Imaging

Apple researchers have gone public with new multimodal methods for training large language models using both text and images. The results are said to enable AI systems that are more powerful and flexible, which could have significant ramifications for future Apple products. These new models, which Apple calls MM1, support up to 30 billion parameters. The researchers identify multimodal large language models (MLLMs) as “the next frontier in foundation models,” which exceed the performance of LLMs and “excel at tasks like image captioning, visual question answering and natural language inference.” Continue reading Apple Unveils Progress in Multimodal Large Language Models

Artificial intelligence stakeholders are calling for safe harbor legal and technical protections that will allow them access to conduct “good-faith” evaluations of various AI products and services without fear of reprisal. More than 300 researchers, academics, creatives, journalists and legal professionals had as of last week signed an open letter calling on companies including Meta Platforms, OpenAI and Google to allow access for safety testing and red teaming of systems they say are shrouded in opaque rules and secrecy despite the fact that millions of consumers are already using them. Continue reading Researchers Call for Safe Harbor for the Evaluation of AI Tools