AI guardrails help ensure that an organization’s AI tools, and their application in the business, reflect the organization’s standards, policies, and values.But just as guardrails on the highway don’t eliminate the risk of injuries or fatalities, AI guardrails don’t guarantee that AI systems will be completely safe, fair, compliant, and ethical. For the best results, companies can implement AI guardrails along with other procedural controls (for example, AI trust frameworks, monitoring and compliance software, testing and evaluation practices), as well as a proper AI operations technology stack, which scales the governance of AI across an organization.
Saturday, November 30, 2024
Readers can’t accurately distinguish between AI and human essays, researchers find - Anya Geist, Yale Daily News
In a project organized by four researchers, including three from the School of Medicine, researchers tasked readers with blindly reviewing 34 essays, 22 of which were human-written and 12 which were generated by artificial intelligence. Typically, they rated the composition and structure of the AI-generated essays higher. However, if they believed an essay was AI-generated, they were less likely to rank it as one of the overall best essays. Ultimately, the readers only accurately distinguished between AI and human essays 50 percent of the time, raising questions about the role of AI in academia and education.
Friday, November 29, 2024
The Impact of Using Artificial Intelligence Techniques in Improving The Quality of Educational Services /Case Study at The University of Baghdad (Provisionally accepted) - Namaa Fargan, et al; Frontiers in Education
The utilization of artificial intelligence techniques has garnered significant interest in recent research due to their pivotal role in enhancing the quality of educational offerings. This study investigated the impact of employing artificial intelligence techniques on improving the quality of educational services, as perceived by students enrolled in the College of Pharmacy at the University of Baghdad. The study sample comprised 379 male and female students. A descriptive-analytical approach was used, with a questionnaire as the primary tool for data collection. The findings indicated that the application of artificial intelligence methods was highly effective, and the educational services provided to students were of exceptional quality. The results also showed a strong correlation (correlation coefficient of 0.719) between the use of artificial intelligence techniques and the quality of educational services.
AI policy directions in the new Trump administration - John Villasenor and Joshua Turner, Brookings
The new administration will likely relax agency regulation, focus more on competition with China, and decrease AI-related antitrust enforcement, among other possibilities. Although predicting technological progress is difficult, the next four years will bring some unexpected developments in AI, and effectively stewarding this extraordinary technology will require a nimble and balanced set of federal policy responses.
Thursday, November 28, 2024
Scale Is All You Need? Part 4-3: The Post-AGI-World - Kim Isenberg, Forward Future
“If AGI is successfully created, this technology could help us elevate humanity by increasing abundance, turbocharging the global economy, and aiding in the discovery of new scientific knowledge that changes the limits of possibility.” -OpenAI
This could give rise to a new kind of culture, one that differs greatly from today's ideals and values, since many of our basic assumptions – such as the value of academic achievements and political decision-making – will be challenged by the capabilities and possibilities of AI. And last but not least, human hubris will erode as we realize that our own species may not be the most intelligent on Earth and that even an artificial intelligence far surpasses our own intelligence.
AI News: New FREE AI Challenges ChatGPT! -- Matt Wolfe, YouTube
OpenAI is rolling out advanced voice mode to the web for ChatGPT Plus users, and GPT-4 has been updated with improved creative writing abilities. Anthropic's Claude now allows direct document uploads from Google Drive, and Google's Gemini has added a memory feature. YouTube is introducing automatic dubbing in multiple languages for creators. DeepSeek's new model, R1 light preview, rivals OpenAI's Q* in logical reasoning, while French company Mistral offers a free chatbot, Le Chat, with features comparable to paid versions of ChatGPT and Claude. Microsoft has partnered with Harper Collins to train AI models on books and launched its "recall" feature for Co-pilot PCs. Elon Musk predicts AGI by 2026, and Google DeepMind's AlphaCubit uses AI to improve Quantum Computing accuracy. (summary generated by GenAI)
Wednesday, November 27, 2024
A.I. Chatbots Defeated Doctors at Diagnosing Illness - Gina Colata, NY Times
Dr. Adam Rodman, an expert in internal medicine at Beth Israel Deaconess Medical Center in Boston, confidently expected that chatbots built to use artificial intelligence would help doctors diagnose illnesses. He was wrong. Instead, in a study Dr. Rodman helped design, doctors who were given ChatGPT-4 along with conventional resources did only slightly better than doctors who did not have access to the bot. And, to the researchers’ surprise, ChatGPT alone outperformed the doctors. The chatbot, from the company OpenAI, scored an average of 90 percent when diagnosing a medical condition from a case report and explaining its reasoning. Doctors randomly assigned to use the chatbot got an average score of 76 percent. Those randomly assigned not to use it had an average score of 74 percent.
AI vs. Labor Unions: The Future of Work in the Age of Automation - Curt del Principe, HubSpot
Unlike knitting machines, which have a fairly niche use, there are few industries that AI can’t touch. Its ability to analyze data or create customized content at scale in mere seconds makes these tools unlike any tech revolution that’s come before. Suddenly, AI appears in everything from accounting to zookeeping. In fact, around 80% of US workers could have at least 10% of their tasks impacted by LLMs, according to a study by the University of Pennsylvania and OpenAI. (And it’s worth pointing out that LLMs are just one type of AI in the new pantheon driving the AI boom. That 80% figure isn’t even counting tasks that can be done by audio, video, or imaging tools.) The question is no longer, “Will AI impact my job?” but “How will AI impact my job?”
Tuesday, November 26, 2024
Agentic AI: 6 promising use cases for business - Grant Gross, CIO
AI agents will play a vital role in software programming and cybersecurity, but they will also change enterprise workflows and business intelligence, experts say. Agentic AI, which Forrester named a top emerging technology for 2025 in June, takes generative AI a step further by emphasizing operational decision-making rather than content generation. With AI agents popping up in so many situations and platforms, organizations interested in the technology may find it difficult to know where to start. A handful of use cases have so far risen to the top, according to AI experts.
AI is already taking jobs, research shows. Routine tasks are the first to go - Mark Sullivan, Fast Company
Researchers from Harvard Business School, the German Institute for Economic Research, and Imperial College London Business School studied 1,388,711 job posts on a major (but undisclosed) global freelance work marketplace from July 2021 to July 2023, and found that demand for such automation-prone jobs had fallen 21% just eight months after the release of ChatGPT in late 2022. Writing jobs were most affected, followed by software, app, and web development work, as well as engineering jobs. The large language models that underpin tools like ChatGPT are trained on large amounts of text to predict the most likely next word in a sequence.
Monday, November 25, 2024
The Third Wave Of AI Is Here: Why Agentic AI Will Transform The Way We Work - Bernard Marr, Forbes
The chess pieces of artificial intelligence are being dramatically rearranged. While previous iterations of AI focused on making predictions or generating content, we're now witnessing the emergence of something far more sophisticated: AI agents that can independently perform complex tasks and make decisions. This third wave of AI, known as 'agentic AI,' represents a fundamental shift in how we think about and interact with artificial intelligence in the workplace.
Social Media Fact Sheet - Pew Research Center
Many Americans use social media to connect with one another, engage with news content, share information and entertain themselves. Explore the patterns and trends shaping the social media landscape.
YouTube and Facebook are the most-widely used online platforms. Half of U.S. adults say they use Instagram, and smaller shares use sites or apps such as TikTok, LinkedIn, X (formerly Twitter) and Snapchat.
Sunday, November 24, 2024
The next massive upgrade to ChatGPT is coming in January - Andrew Tarantola, Digital Trends
OpenAI is set to launch a new AI agent in January, code-named Operator, that will enable ChatGPT to take action on the user’s behalf. You may never have to book your own flights ever again. AI agents differ significantly from traditional programs. Rather than follow a set of predefined instructions, agents can autonomously perceive their environment, process information, and make decisions to perform tasks or solve problems, such as generating complex computer code or booking travel arrangements. Anthropic recently released its Computer Control feature, which enables the model to manipulate a desktop environment in the same way human users would. Microsoft similarly unveiled its AI agent feature in late October. It’s designed to handle monotonous office work like managing employee records and drafting emails. Google is also working on AI agents of its own, code-named Jarvis, and could preview it by the end of the year.
What is retrieval-augmented generation (RAG)? - McKinsey
Retrieval-augmented generation, or RAG, is a process applied to LLMs to make their outputs more relevant in specific contexts. RAG allows LLMs to access and reference information outside the LLMs own training data, such as an organization’s specific knowledge base, before generating a response—and, crucially, with citations included. This capability enables LLMs to produce highly specific outputs without extensive fine-tuning or training, delivering some of the benefits of a custom LLM at considerably less expense.
Saturday, November 23, 2024
Sam Altman is Predicting AGI in 2025- Matt Wolfe, YouTube
Sam Altman, CEO of OpenAI, has hinted that Artificial General Intelligence (AGI) could be a reality in 2025. In a recent interview, when asked what he was most excited about for 2025, Altman simply replied "AGI," suggesting that he believes AGI will be achieved by then. However, the video host points out that there's no universally accepted definition of AGI, which could lead to disagreements on when it's actually achieved, even if OpenAI declares it has reached that milestone. (summary provided in part by GenAI)
OpenAI Introduces The "Operator Agent" - Andrew Black, AI Grid
OpenAI is reportedly developing a new AI agent codenamed "Operator" that can interact with computers and perform tasks on behalf of users, such as writing code or booking travel. This agent is planned for a limited release in January 2025 as a research preview, primarily targeting developers and researchers. OpenAI is also working on several other agent-related projects, including a general-purpose tool that operates within a web browser, co-pilot agents that autonomously monitor events and execute tasks, and potentially voice agents based on internal demos. (summary provided in part by GenAI)
https://www.youtube.com/watch?v=ExyUcMVztrA
Friday, November 22, 2024
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Fali Wang, et Al; ARXIV
Large language models (LLM) have demonstrated emergent abilities in text generation, question answering, and reasoning, facilitating various tasks and domains. Despite their proficiency in various tasks, LLMs like LaPM 540B and Llama-3.1 405B face limitations due to large parameter sizes and computational demands, often requiring cloud API use which raises privacy concerns, limits real-time applications on edge devices, and increases fine-tuning costs. Additionally, LLMs often underperform in specialized domains such as healthcare and law due to insufficient domain-specific knowledge, necessitating specialized models. Therefore, Small Language Models (SLMs) are increasingly favored for their low inference latency, cost-effectiveness, efficient development, and easy customization and adaptability. , Collaboration with LLMs, and Trustworthiness.
AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably - Brian Porter & Edouard Machery, Nature Scientific Reports
As AI-generated text continues to evolve, distinguishing it from human-authored content has become increasingly difficult. This study examined whether non-expert readers could reliably differentiate between AI-generated poems and those written by well-known human poets. We conducted two experiments with non-expert poetry readers and found that participants performed below chance levels in identifying AI-generated poems (46.6% accuracy, χ2(1, N = 16,340) = 75.13, p < 0.0001). Notably, participants were more likely to judge AI-generated poems as human-authored than actual human-authored poems (χ2(2, N = 16,340) = 247.04, p < 0.0001). We found that AI-generated poems were rated more favorably in qualities such as rhythm and beauty, and that this contributed to their mistaken identification as human-authored.
Thursday, November 21, 2024
Winds of Change in Higher Ed to Become a Hurricane in 2025 - Ray Schroeder, Inside Higher Ed
A number of factors are converging to create a huge storm. Generative AI advances, massive federal policy shifts, broad societal and economic changes, and the demographic cliff combine to create uncertainty today and change tomorrow. The confluence of all of these disruptions in 2025 predict a challenging year ahead for higher education. Has your institution prepared for the fallout from these developments? Who is coordinating the response to these disparate trends? Are you following the trends and considering the implications for your career as well as for your department, college and university?
OpenAI’s secret AI agent revealed! - Martin Crowley, AI Tool Report
OpenAI reportedly told staff that they will release an AI agent—codenamed Operator—which can take over a computer and perform tasks, autonomously, to developers via the developer API, as early as January. This comes after OpenAI denied reports that it would be launching its newest AI model, Orion, in December, suggesting they’re pivoting away from chatbots that just process text and images, towards agents that can engage with computers autonomously. Something which CEO, Sam Altman, appeared to confirm during a recent AMA on Reddit, where he said “I think the thing that will feel like the next giant breakthrough will be agents.” This also comes after Chief Product Officer, Kevin Weil confirmed, at OpenAI’s dev day last month, that “2025 is going to be the year that agentic systems finally hit the mainstream.”
Wednesday, November 20, 2024
Google’s AI ‘learning companion’ takes chatbot answers a step further - Umar Shakir, the Verge
We tested Learn About and Google Gemini with a simple prompt: “How big is the universe?” Both answered that “the observable universe” is “about 93 billion light-years in diameter.” However, while Gemini opted to show a Wikipedia-provided diagram of the universe and a two-paragraph summary with links to sources, Learn About emphasized an image from the educational site Physics Forums and added related content that was similarly focused more on learning than simply offering facts and definitions.
OpenAI CPO Reveals: ChatGPT Turns $8,000 Legal Work into $3 (The Future is HERE!) - Julia McCoy, YouTube
OpenAI's Chief Product Officer, Kevin Wheel, recently made a significant statement at the Ray Summit 2024, revealing that their AI model, ChatGPT, can complete legal work that previously cost $8,000 for a mere $3 in API tokens. This highlights the potential of AI to drastically reduce costs and increase efficiency in various professional fields. Wheel emphasized OpenAI's commitment to making AI more accessible and affordable, driving innovation and problem-solving on a larger scale. This advancement raises important questions about the future of work and the need for adaptation in the face of rapidly evolving AI capabilities. The video emphasizes that while AI like ChatGPT is not yet ready for fully autonomous deployment, it is rapidly advancing. (summary assisted with Gemini AI)
Tuesday, November 19, 2024
$1M Robot-Painted Portrait Sparks a New Era in AI Art - Douglas, the AI Newsroom
In a groundbreaking moment for both AI and art, Ai-Da, the world’s first ultra-realistic robot artist, just made history. Ai-Da’s portrait of Alan Turing sold for an astounding $1.08 million at Sotheby’s, exceeding all pre-sale estimates and marking the first-ever sale of a humanoid robot’s artwork at a major auction. This sale not only celebrates a new level of AI creativity but also raises big questions about art, ethics, and technology. Let’s dive into what this historic sale means and where the journey of AI-powered art may take us next.
Can AI Agents Rescue Higher Ed From Financial Collapse? - Vinay Bhaskara, Forbes
Higher education is facing an existential crisis. With one small college closing every week and tuition costs having risen 141% at public institutions over the last two decades, American universities may be heading toward a bleak future. But a new wave of artificial intelligence technology may offer a path forward. AI agents — sophisticated software that can handle complex interactions and workflows — are emerging as a potential solution to higher education's operational challenges. Unlike generic chatbots or simple automation tools, these purpose-built AI agents can manage intricate processes, engage in natural conversations, and seamlessly integrate with existing university systems.
Monday, November 18, 2024
AI That Can Invent AI Is Coming. Buckle Up. - Forbes
Leopold Aschenbrenner’s “Situational Awareness” manifesto made waves when it was published this summer. In this provocative essay, Aschenbrenner—a 22-year-old wunderkind and former OpenAI researcher—argues that artificial general intelligence will be here by 2027, that artificial intelligence will consume 20% of all U.S. electricity by 2029, and that AI will unleash untold powers of destruction that within years will reshape the world geopolitical order. Aschenbrenner’s startling thesis about exponentially accelerating AI progress rests on one core premise: that AI will soon become powerful enough to carry out AI research itself, leading to recursive self-improvement and runaway superintelligence.
https://www.forbes.com/sites/robtoews/2024/11/03/ai-that-can-invent-ai-is-coming-buckle-up/
How To Build The Future: Sam Altman Predicts AGI in 2025 - Y Combinator
Altman just predicted that artificial general intelligence will be achieved in 2025, coming alongside conflicting reports of slowing progress in LLM development and scaling across the industry. It’s fair to say that few people in tech are positioned to have a bigger impact on the future than Sam Altman. As the CEO of OpenAI, Altman and his team have overseen monumental leaps forward in machine learning, generative AI and most recently LLMs that can reason at PhD levels. And this is just the beginning. In his latest essay Altman predicted that ASI (Artificial Super Intelligence) is just a few thousand days away. So how did we get to this point? In this episode of our rebooted series "How To Build The Future," YC President and CEO Garry Tan sits down with Altman to talk about the origins of OpenAI, what’s next for the company, and what advice he has for founders navigating this massive platform shift.
Sunday, November 17, 2024
Microsoft joins multi-AI agent fray with Magentic-One - Anirban Ghoshal, CIO
Magentic-One is a rival to multi-agent frameworks such as Salesforce’s Agentforce or IBM’s Bee Agent Framework for enterprises wanting to let AI complete complex tasks that are currently handled by humans. Microsoft wants enterprises to believe that its Magentic-One multi-AI agent system will enable them to automate complex tasks that previously required human intervention. One of a number of Agentic AI offerings to arrive on the market in recent months, Magentic-One is built on Microsoft’s previously released AutoGen open-source agent development framework.
Your Next Job Interview Might Be With an AI Recruiter - Martina Bretous, HubSpot
You’re tweaking your resume a hundred times. You’ve told people “a little about yourself” more times than you’d like to. And you’ve probably gotten a few “We’ve decided to move forward to another candidate” emails. It’s the name of the game. But here’s another curveball you probably weren’t expecting: Going through an interview process with an AI-generated recruiter on the other end. Tools like Apriora and Micro1 are making it happen, with the promise of better candidates and a streamlined recruiting process.
Saturday, November 16, 2024
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks - Adam Fourney, et al; Microsoft
The future of AI is agentic. AI systems are evolving from having conversations to getting things done—this is where we expect much of AI’s value to shine. It’s the difference between generative AI recommending dinner options to agentic assistants that can autonomously place your order and arrange delivery. It’s the shift from summarizing research papers to actively searching for and organizing relevant studies in a comprehensive literature review. Modern AI agents, capable of perceiving, reasoning, and acting on our behalf, are demonstrating remarkable performance in areas such as software engineering, data analysis, scientific research, and web navigation.
5 Bold Predictions for AI in 2025 and how we think AI will continue to transform industries - Cypher Learning
The pace of innovation is rapidly accelerating, and AI is poised to redefine how we work, learn, and connect with technology in surprising ways. From empowering new roles and fostering inclusivity, AI is on the brink of reshaping entire industries. Last year, we shared our predictions for AI in 2024 and saw them come to fruition. As the year comes to a close, we wanted to turn the page and once again share our predictions for how AI will continue to evolve in 2025. Among the predictions is #5. Personalized workplace development displaces old-school training.
Friday, November 15, 2024
The economic potential of generative AI: The next productivity frontier - McKinsey
AI has permeated our lives incrementally, through everything from the tech powering our smartphones to autonomous-driving features on cars to the tools retailers use to surprise and delight consumers. The latest generative AI applications can perform a range of routine tasks, such as the reorganization and classification of data. But it is their ability to write text, compose music, and create digital art that has garnered headlines and persuaded consumers and households to experiment on their own. As a result, a broader set of stakeholders are grappling with generative AI’s impact on business and society but without much context to help them make sense of it.
Navigating the challenges of AI in education - Higher Education Press
The advent of advanced AI models like ChatGPT has precipitated a transformative shift in knowledge acquisition and exploration, posing significant challenges to traditional educational concepts and methodologies. An article in Frontiers of Digital Education explores the multifaceted impact of AI on education and proposes strategies to navigate these challenges effectively. The work is titled "Educational Concepts and Methodologies in the AI Era: Challenges and Responses." The traditional emphasis on exam scores and knowledge dissemination is increasingly at odds with the demands of the AI era. The ability of AI to automate routine tasks and generate vast amounts of information necessitates a shift in focus towards the cultivation of skills that are uniquely human, such as critical thinking, creativity, and problem-solving. Failure to adapt to this changing landscape risks rendering our educational systems obsolete, failing to equip students with the tools they need to thrive in a rapidly evolving world.
Thursday, November 14, 2024
Why AI could eat quantum computing’s lunch - Ed Gent, MIT Technology Review
Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all. Tech companies have been funneling billions of dollars into quantum computers for years. The hope is that they’ll be a game changer for fields as diverse as finance, drug discovery, and logistics. But while the field struggles with the realities of tricky quantum hardware, another challenger is making headway in some of these most promising use cases. AI is now being applied to fundamental physics, chemistry, and materials science in a way that suggests quantum computing’s purported home turf might not be so safe after all.
#BuildwithAI Hackathon 2024 - GenAI.works
BuildwithAI 2024 invites innovators, developers, and AI enthusiasts from all backgrounds to unleash their creativity using cutting-edge technologies! Don't miss this opportunity to turn your ideas into reality and make your mark in the rapidly evolving world of artificial intelligence. Whether you're a seasoned pro or just starting your AI journey, this is your chance to showcase your skills, collaborate with like-minded individuals, and build the future of AI. Register now and let's build the future together!
Wednesday, November 13, 2024
Claude 3.5 Sonnet now supports PDF input and understands both text and visual content within documents - Anthropic
Claude works with any standard PDF. You can ask Claude about any text, pictures, charts, and tables in the PDFs you provide. Some sample use cases:
Analyzing financial reports and understanding charts/tables
Extracting key information from legal documents
Translation assistance for documents
Converting document information into structured formats
First pro vice-chancellor for artificial intelligence appointed - Juliet Roswell, Times Higher Ed
The UK’s first senior university leader dedicated solely to artificial intelligence is looking at embedding the technology into the curriculum and exploring options that could see students assessed on their capabilities in this area. As part of efforts to create “AI literate graduates”, Shushma Patel, pro vice-chancellor for artificial intelligence at De Montfort University, said one of her key priorities for the role – thought to be the first of its kind in the sector – was to “consider how we could embed a learning objective or a learning outcome within the curriculum where we recommend students use AI technologies”. The computer scientist said universities needed to encourage students to use AI in their studies, or risk graduates falling behind, adding that she was interested in looking at introducing assessments that would test students’ AI capabilities.
Tuesday, November 12, 2024
Quantum Computer Launched for Generative AI - Bernice Baker, AI Business
Orca Computing has released its latest photonic quantum computer, PT-2, designed to tackle practical applications such as pharmaceutical development and biological imaging by integrating with generative AI models. PT-2 uses Nvidia’s CUDA-Q open-source platform for integrating and programming quantum processing units (QPUs), GPUs and CPUs in one system, offering quantum-enhanced machine learning capabilities. This means organizations could effectively embed quantum computing into generative AI and optimization workflows offering a potential route toward industrial-scale quantum AI.
AI Tops List of Most Important Technologies of 2025 - Heidi Vella, AI Business
The study by IEEE, the world’s largest technical professional organization, surveyed 355 technology leaders, including CIOs, CTOs, and IT directors, in Brazil, China, India, the U.K. and U.S. When asked to select the top three areas of technology that will be most important in 2025 from more than a dozen areas, respondents overwhelmingly ranked AI first (58%) marking the second consecutive year they have done so. Cloud computing (26%) and robotics (24%) ranked second and third, respectively.
Monday, November 11, 2024
Study finds LLMs can identify their own mistakes - Ben Dickson, Venture Beat
A well-known problem of large language models (LLMs) is their tendency to generate incorrect or nonsensical outputs, often called “hallucinations.” While much research has focused on analyzing these errors from a user’s perspective, a new study by researchers at Technion, Google Research and Apple investigates the inner workings of LLMs, revealing that these models possess a much deeper understanding of truthfulness than previously thought. This finding suggests that current evaluation methods, which solely rely on the final output of LLMs, may not accurately reflect their true capabilities. It raises the possibility that by better understanding and leveraging the internal knowledge of LLMs, we might be able to unlock hidden potential and significantly reduce errors.
Educause ’24: University of Michigan's Journey With Generative AI - Abby Sourwine, GovTech
One major AI integration came in the form of U-M GPT, a chatbot that provides free access to the latest versions of large language models like GPT 4.0 and DALL-E 3. It has all the capabilities of these chatbots with a few customizations to best serve UM users. Pendse said the team also created a more focused AI tool, U-M Maizey, with which users can upload their own data sets to serve a customized GPT experience. In an academic setting, Maizey can be integrated with Canvas, the learning management system from the education software company Instructure, and used for things like generating practice exam questions and offering personalized tutoring. Pendse said the Canvas integration was designed to be simple — instructors can integrate in six minutes even without any coding experience.
Sunday, November 10, 2024
What Can AI Chatbots Teach Us About How Humans Learn? - Jeffrey R. Young, EdSurge
Do new AI tools like ChatGPT actually understand language the same way that humans do? It turns out that even the inventors of these new large language models are debating that very question — and the answer will have huge implications for education and for all aspects of society if this technology can get to a point where it achieves what is known as Artificial General Intelligence, or AGI.A new book by one of those AI pioneers digs into the origins of ChatGPT and the intersection of research on how the brain works and building new large language models for AI. It’s called “ChatGPT and the Future of AI,” and the author is Terrence Sejnowski, a professor of biology at the University of California, San Diego, where he co-directs the Institute for Neural Computation and the NSF Temporal Dynamics of Learning Center. He is also the Francis Crick Chair at the Salk Institute for Biological Studies.
ChatGPT 5: What We Know About OpenAI's Upcoming Model Orion - Shubham Arora, Times Now News
OpenAI is rumoured to be developing its next large language model (LLM), internally dubbed Orion or simply GPT-5. Following the largely successful run of earlier models like GPT-4, expectations of what Orion might offer are phenomenal. There were whispers of a potential December 2024 release, but information disclosed more recently from OpenAI indicates that this timeframe may not prevail anymore, especially following the exit of some key executive figures, including Mira Murati, the former CTO. Though the OpenAI Orion launch is a little far away, let's take a peek at what we expect from this new AI model.
Saturday, November 09, 2024
Satya Nadella on the Future of AI - Douglas, AI Newsroom
In Nadella’s view, AI is transforming how we learn and work, with implications for every industry. He envisions a world where AI tutors are accessible to everyone, enabling a deeper, more personalized learning experience. “The big novelty is that every student can now have access to a personalized AI tutor throughout their life.” This unprecedented access to knowledge, combined with the flexibility of tools like GitHub Copilot, opens doors for students, professionals, and lifelong learners. On the future of work, Nadella emphasizes that AI’s purpose isn’t to eliminate jobs but to improve the quality of work. By automating tedious tasks, AI allows professionals to focus on higher-value activities.
AI is going to eliminate way more jobs than anyone realizes - Business Insider
The rise of artificial intelligence has captured our imagination for decades, in whimsical movies and sober academic texts. A March Goldman Sachs report found over 300 million jobs around the world could be disrupted by AI, and the global consulting firm McKinsey estimated at least 12 million Americans would change to another field of work by 2030. A "gale of creative destruction," as economist Joseph Schumpeter once described it, will blow away countless firms and breathe life into new industries. It won't be all bleak: Over the coming decades, nongenerative and generative AI are estimated to add between $17 trillion and $26 trillion to the global economy. And crucially, many of the jobs that will be lost will be replaced by new ones.
Friday, November 08, 2024
Leveraging AI Agents to Transform the University Exam Experience - Talview
Artificial Intelligence has been transforming various sectors, and education is no exception. AI agents are revolutionizing how universities operate, offering new efficiencies and enhanced learning experiences. This blog explores the role of AI agents in universities, their current applications, benefits, challenges, and future trends. The adoption of AI agents in universities brings numerous benefits. They enhance efficiency and productivity by automating repetitive tasks, allowing staff to focus on more critical activities. AI agents provide personalized and adaptive learning experiences, improving student outcomes. They also support better resource management by optimizing schedules and facilities usage. In research, AI agents facilitate advanced data analysis and predictive modeling, driving innovation. Moreover, they offer support to faculty and staff, reducing administrative burdens.
How AI Is Reshaping Higher Education - AACSB
Because artificial intelligence will likely become the primary way humans access information, professors must prepare students to use the technology effectively in their lives and careers. Students will especially need to learn skills related to effective prompt engineering, which refers to the ability to craft questions that elicit the most useful answers from AI platforms. The more comfortable that faculty become with using AI, the better they will be at teaching students how to use this skill ethically and effectively in the years to come.
Thursday, November 07, 2024
AI as a Service (AIaaS): What Higher Education Needs to Know - Tom Mangan, EdTech
Artificial intelligence in the cloud could be a helpful part of your IT tech stack, but just because something says AI doesn’t mean it’s necessary. AI as a Service lets colleges and universities consume advanced learning automation applications in bite-sized servings without having to develop AI solutions on their own. Because AIaaS is hosted in the cloud, services can scale up or down as needed. These benefits give higher education leaders vast opportunities to improve student services and optimize campus operations. At the same time, campus IT teams must wade through a muddle of AIaaS uncertainties related to data, security and the responsible use of AI. Read on to find out how to navigate this new environment and learn best practices for AIaaS success in higher education.
https://edtechmagazine.com/higher/ai-as-a-service-aiaas-perfcon
EDUCAUSE 2024: The Risks and Rewards of Artificial Intelligence in Higher Education - EdTech
The world took notice when OpenAI released the high-powered large language model ChatGPT in November 2022. Nearly two years later, at EDUCAUSE 2024 in San Antonio, artificial intelligence was still a hot topic of conversation among higher education’s leading technologists. They mostly agree that AI is a tool that could be beneficial to colleges and universities in a number of ways, but acknowledge that just because an AI solution exists, that doesn’t mean it’s the right solution. Working backward from a problem to identify if AI is the best path forward is a good way to avoid making AI mistakes, and ensuring good data governance before implementing AI is vital to producing accurate outcomes.
Wednesday, November 06, 2024
Amazon-backed Anthropic debuts AI agents that can do complex tasks, racing against OpenAI, Microsoft and Google - Hayden Field, CNBC
Anthropic, the Amazon-backed AI startup founded by former OpenAI research executives, announced artificial intelligence agents that can use a computer to complete complex tasks like a human would.
AI agents are built for productivity and to complete multistep, complex tasks on a user’s behalf. Anthropic’s new Computer Use capability, part of its two newest AI models, allows its tech to interpret what’s on a computer screen, select buttons, enter text, navigate websites and execute tasks through any software and real-time internet browsing. The tool can “use computers in basically the same way that we do,” Jared Kaplan, Anthropic’s chief science officer, told CNBC in an interview, adding it can do tasks with “tens or even hundreds of steps.”
Education for all: An interview with Dr. Sven Schütt - McKinsey
Dr. Sven Schütt, CEO of the European university group IU Group (IUG), believes in lifelong learning and universally accessible education. IUG offers courses and degree programs in a variety of formats so that high school graduates and working adults can learn at their own pace and convenience. Founded in 2000, IUG, which currently has about 140,000 students enrolled worldwide, provides training, upskilling, and job certification across more than 250 degree programs and offers over 600 additional training programs.1 Schütt recently sat down with McKinsey partner Axel Domeyer to discuss how AI is transforming education—and his organization.
Tuesday, November 05, 2024
Leveraging AI to Improve Learner Outcomes and Learner Records - UPCEA
The implementation of AI-driven tools in higher education is still in its early phases. It's clear that institutional staff either are still learning how to incorporate the tools into the learning process or are encountering obstacles in optimizing their use. This study revealed that interest in the potential of these technologies is far outpacing adoption. Most respondents are heavily involved in developing learner experiences and tracking outcomes, though nearly half report their institutions have yet to adopt AI-driven tools for these purposes. The research also found that only three percent of institutions have implemented Comprehensive Learner Records (CLRs), which provide a complete overview of an individual’s lifelong learning experiences. Download your copy of UPCEA and Instructure's latest research study today.
Here Come the AI Agents! - Ray Schroeder, Inside Higher Ed
Anthropic offers the new function that enables its Sonnet version to control your computer: “Claude 3.5 Sonnet is the first frontier AI model to offer computer use in public beta.” This is just the beginning of the next phase of generative AI. Over the coming weeks and months, we will see many platforms offer this capability to users. So, what’s the big deal? It is the equivalent of moving from an automobile to a self-driving autonomous vehicle. We have primarily worked with chat bot versions of generative AI in which we enter a prompt, the program does some research and responds via text, image, video or audio. That has been effective for single-instance transactional engagement. Yet, we have not been able to automatically create and complete a complex list of tasks on the computer that are dependent upon reasoning and prior actions.
Monday, November 04, 2024
OpenAI reportedly plans to release its Orion AI model by December - Maxwell Zeff, Tech Crunch
OpenAI is reportedly planning to release its next frontier AI model, codenamed Orion inside the company, by December of this year, The Verge reported on Thursday. Unlike previous releases, the company reportedly plans to release the model gradually to trusted partners before a broader rollout through ChatGPT. The Verge writes that Microsoft engineers expect to receive access to Orion as early as November, although it’s unclear what OpenAI will ultimately call the model. The o1 series of models was codenamed “strawberry” inside OpenAI for months before it was released.
https://techcrunch.com/2024/
The AI Paradox: Why Automation Will Fuel a Creative Revolution - Alina Okun, Future Skill
AI isn't replacing human workers. It's opening up a new frontier for them. As routine tasks get automated, we have more freedom to focus on the uniquely human skills that machines can’t replicate: Creativity, Critical thinking, and Innovation. This is what I call the AI Paradox: the more tasks AI takes over, the more space we have to lean into the things that machines simply can’t do. Let’s explore how this shift is evolving and why creativity is quickly becoming the most valuable skill in the workplace.
https://www.futureskillpro.com/p/the-ai-paradox-why-automation-will
Sunday, November 03, 2024
Memorandum on Advancing the United States’ Leadership in Artificial Intelligence; Harnessing Artificial Intelligence to Fulfill National Security Objectives; and Fostering the Safety, Security, and Trustworthiness of Artificial Intelligence - the White House
This memorandum fulfills the directive set forth in subsection 4.8 of Executive Order 14110 of October 30, 2023 (Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence). This memorandum provides further direction on appropriately harnessing artificial intelligence (AI) models and AI-enabled technologies in the United States Government, especially in the context of national security systems (NSS), while protecting human rights, civil rights, civil liberties, privacy, and safety in AI-enabled national security activities. A classified annex to this memorandum addresses additional sensitive national security issues, including countering adversary use of AI that poses risks to United States national security.
Anthropic’s agentic Computer Use is giving people ‘superpowers’ - Taryn Plumb, Venture Beat
Still in beta, Computer Use allows Claude to work autonomously and use a computer essentially as a human does. The groundbreaking capability has broad implications for the future of work, as it can work essentially on its own, perform repetitive tasks and quickly gather up data from numerous disparate sources. “Anthropic just released the most amazing AI technology I’ve ever used. I’m not kidding,” startup founder Alex Finn posted to X (formerly Twitter). “It’s legit changing day to day.”AI agents are here and you can now build your own personal army of AI's that will do work for you. Here is your demo and complete beginner's guide:
Saturday, November 02, 2024
SynthID: Identifying AI-generated content with SynthID - Google Deep Mind
Being able to identify AI-generated content is critical to promoting trust in information. While not a silver bullet for addressing problems such as misinformation or misattribution, SynthID is a suite of promising technical solutions to this pressing AI safety issue. This toolkit is currently launched in beta and continues to evolve. It’s now being integrated into a growing range of products, helping empower people and organizations to responsibly work with AI-generated content. SynthID uses a variety of deep learning models and algorithms for watermarking and identifying AI-generated content.
Intelligent Agents in AI Really Can Work Alone. Here’s How. - Tom Coshow, Gartner
Today’s AI models perform tasks such as generating text, but these are “prompted” — the AI isn’t acting by itself. That is about to change with agentic AI, or AI with agency. By 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. Intelligent agents in AI are goal-driven software entities that use AI techniques to complete tasks and achieve goals. They don’t require explicit inputs and don’t produce predetermined outputs. Instead, they can receive instructions, create a plan and use tooling to complete tasks, and produce dynamic outputs. Examples include AI agents, machine customers and multiagent systems.
Friday, November 01, 2024
Can Anthropic’s Claude control your PC? - Martin Crowley, AI Tool Report
Anthropic unveiled an updated Claude 3.5 Sonnet (which is available in public beta) with a new feature, called ‘Computer Use,’ which completes tasks on a computer like a human does. ‘Computer Use’ can understand and interact with any PC desktop app, and can control a PC—by moving the cursor, clicking buttons, and typing text—based on human prompts. For example, when Claude was asked to plan an outing with two friends, to see the Golden Gate Bridge, it opened Chrome, searched for the ideal viewing spot and times, and then used the calendar app to create and send invites out. All by itself. Claude can now see what’s on the PC screen (something it couldn't do, previously) and break the prompt down into a list of computer commands, like move the cursor, click here, or type this, to complete the task.
Ellucian's AI Survey of Higher Education Professionals Reveals Surge in AI Adoption Despite Concerns Around Privacy and Bias - Ellucian
Ellucian, the leading higher education technology solutions provider, released its second annual AI survey report. This report shows that AI adoption by higher education professionals for work and personal use has more than doubled over the past year. In a survey of 445 faculty and administrators from more than 330 institutions across the U.S. and Canada, 93% expect to expand their AI use for work purposes over the next two years. While the use of AI is growing, the survey also shows increasing concerns. The percentage of respondents worried about bias in AI models rose from 36% in 2023 to 49% in 2024. Similarly, data privacy and security concerns increased from 50% in 2023 to 59% in 2024. These findings reflect a complex mix of enthusiasm and caution across the industry.
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