Advancing President Biden’s push for responsible development of artificial intelligence, top AI firms including Anthropic, Google, Microsoft and OpenAI have launched the Frontier Model Forum, an industry forum that will work collaboratively with outside researchers and policymakers to implement best practices. The new group will focus on AI safety, research into its risks, and disseminating information to the public, governments and civil society. Other companies involved in building bleeding-edge AI models will also be invited to join and participate in technical evaluations and benchmarks. Continue reading Major Tech Players Launch Frontier Model Forum for Safe AI

This week, Meta Platforms released Llama 2, the next generation of its open-source large language model that is free for research and commercial use. Llama 2’s pretrained and fine-tuned language models are available in sizes ranging from 7 to 70 billion parameters. Meta also named Microsoft Azure its “preferred partner for Llama 2,” offering it through the Azure AI model catalog for use with cloud-native tools that leverage content filtering and safety features. Meta says Llama 2 is “also optimized to run locally on Windows,” providing developers a seamless workflow across enterprise and consumer platforms. Continue reading Meta Unveils Llama 2 LLM with Microsoft as Preferred Partner

Threads released an iOS update this week that automates the ability to translate posts into foreign languages. The Instagram spinoff also added a follows tab to the activities feed, where replies and mentions are displayed. Also new to iOS is the ability to access a list of any user’s Instagram followers, to subscribe to “unfollowed” users, and tappable repost labels. While Threads has prompted shock and awe by hitting 100 million downloads within five days of its July 5 launch, and is now at about 150 million, there are reports of dips in user activity. Meanwhile, the new platform has followed Twitter in introducing tighter rate limits. Continue reading Meta’s Threads Adds Updates, Aims to Suppress Bot Attacks

IATSE, the International Alliance of Theatrical Stage Employees, has adopted what it is calling “Core Principles for Applications of Artificial Intelligence and Machine Learning Technology” in the entertainment industry. Unveiled last week, the document follows the May creation of the group’s Commission on Artificial Intelligence. The activity is meant to convey a proactive approach to the challenges and opportunities ahead. “With AI, the stakes for IATSE members in all crafts is high,” said IATSE International President Matthew Loeb. “There is much work to do, but I am pleased to report the union’s efforts are already well underway.” Continue reading IATSE Unveils Its Core Principles for AI and Machine Learning

The research team at Microsoft has taken the wraps off a new type of analog optical computer that uses photons and electrons to process continuous value data instead of traditional transistors that crunch through binary ones and zeroes. Called the Analog Iterative Machine, or AIM, it “has the potential to surpass state-of-the-art digital technology and transform computing in years to come,” Microsoft suggests. AIM is made to solve difficult optimization problems bedeviling industries such as finance, logistics, transportation, energy, healthcare and manufacturing. Continue reading Microsoft’s Light-Based Computer Could Usher in a New Era

Meta Platforms continues to make progress on a mission to develop artificial intelligence that can teach itself to learn how the world works. Chief AI Scientist Yann LeCun has taken a special interest in developing the new model, called Image Joint Embedding Predictive Architecture, or I-JEPA, which learns by building an internal representation of the outside world and analyzing image abstracts instead of comparing pixels. The approach allows AI techto learn more like humans do, with their ability to figure out complex tasks and adapt to new situations. Continue reading Meta Develops Computer Vision AI That Learns Like Humans

Santa Clara, California-based Applied Materials, which makes equipment used to produce semiconductors, has announced plans to invest up to $4 billion in a research facility in Silicon Valley. The Equipment and Process Innovation and Commercialization (EPIC) Center, which will be built over seven years, aims to bring chipmakers and universities together to collaborate on innovations that will result in more powerful chips. “For the first time, chipmakers can have dedicated space within an equipment company’s R&D fab, providing early access to next-generation processes and equipment to accelerate product roadmaps,” according to Applied Materials. Continue reading Applied Materials Plans Chip Research Center in Silicon Valley

About 60 percent of Americans who have used Twitter in the past year report taking a break from the platform during that time, with 25 percent of them predicting they are unlikely to be using the service a year from now, according to a study by the Pew Research Center. The survey of adult Twitter users was conducted March 13-19, approximately five months after billionaire Elon Musk purchased the site in October. The findings come amidst media debates as to whether Twitter is “dying,” according to Pew, which notes some high-level celebrity defections since Musk took over the social site. Continue reading Twitter Usage Decline Could Indicate a Trend Moving Forward

A March research paper by Microsoft has reopened discussion as to whether artificial intelligence is inching toward human reasoning, as the industry grapples with how an AI system can assimilate training data in a way that allows it to generate answers and promulgate ideas that weren’t programmed into it. Asked for a stable way to stack a book, nine eggs, a laptop, a bottle and a nail, the Microsoft AI generated a response researchers say hinted at artificial general intelligence, or AGI, a term used to connote an as yet theoretical type of machine learning that can duplicate human reasoning. Continue reading Microsoft Study: GPT-4 Nearing Artificial General Intelligence

Meta Platforms has built and is open-sourcing ImageBind, an artificial intelligence that combines six modalities: audio, visual, text, thermal, movement and depth data. Currently a research project, it suggests a future in which AI models generate multisensory content. “ImageBind equips machines with a holistic understanding that connects objects in a photo with how they will sound, their 3D shape, how warm or cold they are, and how they move,” Meta says. In other words, ImageBind’s approach more closely approximates human thinking by training on the relationship between things rather than ingesting massive datasets so as absorb every possibility. Continue reading Meta’s Open-Source ImageBind Works Across Six Modalities

After three straight quarters of declining revenue, Meta Platforms posted a 3 percent year-over-year gain in Q1, for a total of $28.6 billion. Earnings fell by 24 percent, to $5.7 billion, due in part to restructuring charges. But the bad news was offset by strong user growth, including 37 million daily active users for Facebook, up 4 percent from Q1 2022. The results beat Wall Street expectations and exceeded Meta’s own guidance. Meta CEO Mark Zuckerberg called it “a good quarter,” adding that “our AI work is driving good results across our apps and business.” Continue reading Meta Back on Growth Curve Following Three Tough Quarters

Generative AI has become a buzzword in the business community, resulting in 65 percent of executives in a recent KPMG survey saying they believe the technology will have a high or extremely high impact on their organization in the next three to five years. Yet most say they are unprepared for immediate adoption, with 60 percent estimating they are 12 to 24 months from implementing their first generative AI solution. Fewer than half of respondents say they have the right technology, talent, and governance in place to successfully implement generative AI. Continue reading Enterprise Anticipates AI Impact but Few Execs Are Prepared

Stability AI has released StableLM, an open source language model that will compete with OpenAI’s GPT-4 to create apps like ChatGPT. The Alpha version of StableLM is available in 3 billion and 7 billion parameters, and the company promises 15 billion to 65 billion parameter models to come. “With the launch of the StableLM suite of models, Stability AI is continuing to make foundational AI technology accessible to all,” the London-based company said. The StableLM models can generate text and code to power various downstream applications with appropriate training. Continue reading Stability AI Debuts Open Source StableLM Foundation Model

Tech billionaire Elon Musk has formed a new artificial intelligence company called X.AI Corp., which was reportedly incorporated in Nevada on March 9. Analysts are suggesting that Musk will use the new company to help launch the “everything app” called X that he’s referred to numerous times. Most media reports have also focused on the startup as a potential rival to OpenAI, a company Musk helped found. For now, X.AI has a handful of staff and 10,000 Nvidia GPUs, but the joint chief of Tesla and Twitter is said to be busy assembling investors and recruiting AI researchers and engineers. Continue reading Elon Musk Announces New Artificial Intelligence Venture X.AI

Meta Platforms has published a new AI technology, the Segment Anything Model (SAM) that the company claims can identify objects it hasn’t seen before. Acting on a text prompt, SAM will highlight items in a photo or video, picking out all the cats, for instance, or flowers. It can also execute other functions, such as generating a 3D construct using a single 2D image or extrapolating from things viewed in a mixed reality headset. Segment Anything can work in concert with other models, potentially minimizing the need for voluminous data sets for training. Continue reading New Meta AI Can Detect Objects It Has Not Been Trained On