Reinforcement Learning

Latest news headlines about artificial intelligence

Microsoft's AI chatbot Copilot can now compose songs from text prompts via integration with generative music app Suno

Dec. 21, 2023, 11:38 a.m. • Music Business Worldwide • (4 Minute Read)

Microsoft's AI chatbot Copilot has joined forces with Suno, a generative AI music app, to allow users to compose songs with simple text prompts. Users can input prompts like "Create a pop song about adventures with your family," and Suno, through a plug-in, transforms these ideas into complete songs, including lyrics, instrumentals, and singing voices. To access the Suno integration, Copilot users can visit Copilot.Microsoft.com, log in with their Microsoft account, and enable the Suno plug-in or click on the Suno logo labeled “Make music with Suno.” This partnership reflects the growing trend for tech companies to invest in AI-driven music creation technology, yet ethical and legal challenges persist, considering the use of AI algorithms learning from existing music without proper consent and compensation.

Open-source AI robot absolutely crushes marble-maze skill game

Dec. 20, 2023, 3:45 a.m. • New Atlas • (3 Minute Read)

In an astonishing display of AI mastery, an open-source robot has dominated the marble maze puzzle, demonstrating the remarkable learning capabilities of artificial intelligence. Developed by ETH Zurich researchers, the CyberRunner robot swiftly progressed from a novice to a highly skilled player, even discovering shortcuts to improve its performance. With just over 6 hours of training, it surpassed the fastest time recorded by a human player, showcasing its smooth and confident execution. The researchers plan to open-source the project, making it accessible for anyone to build and train at home, marking a significant advancement in real-world machine learning and AI research. The convergence of AI and robotics is driving unprecedented progress, signaling a transformative technological revolution with far-reaching implications.

What is Claude AI and how does it differ from ChatGPT?

Dec. 18, 2023, 12:37 p.m. • Android Authority • (3 Minute Read)

The article explores the emergence of Claude, a chatbot developed by San Francisco-based Anthropic, in response to the growing market for AI chatbots like ChatGPT and Google's Bard. Claude sets itself apart with its focus on AI safety, aiming to produce helpful, harmless, and honest responses. Unlike its competitors, Claude follows a unique AI safety-driven philosophy and is trained to output safer text based on human-written principles through Anthropic's "constitutional AI" framework. The chatbot offers a free plan with optional paid subscriptions, and its capabilities include handling complex queries such as summarization, coding, and pattern recognition, while prioritizing user privacy and ethical principles by not permitting internet access. Anthropic has received significant investments, with Google and Amazon being major investors. Although similar to ChatGPT, Claude's training method, response style, internet access, and message limits distinguish it from its competitors. Users can access and use Claude through the claude.ai website and iOS app, but it does not have an Android app. While Claude cannot generate images and is not open source, its commitment to safety and privacy sets it apart in the AI chatbot landscape.

OpenAI Tackles the Supervision of Future Superhuman AI Systems

Dec. 17, 2023, 6 p.m. • AiDebrief.com • (1 Minute Read)

OpenAI's latest research, "weak-to-strong generalization," explores using less capable AI models to supervise more advanced ones, addressing the challenge of aligning superhuman AI with human values. This innovative approach, tested using a GPT-2 model to supervise GPT-4, has shown promising results in enhancing generalization abilities, achieving near GPT-3.5 performance. OpenAI aims to bridge the gap in human-AI supervision and has released open-source code and a $10 million grants program to encourage broader research in superhuman AI alignment, marking a significant step in ensuring future AI systems' safety and alignment with human interests.

OpenAI has a crazy plan to prevent AI from going rogue

Dec. 15, 2023, 6:50 p.m. • BGR • (5 Minute Read)

OpenAI's ambitious plan to prevent superintelligent AI from going rogue is making headlines. OpenAI's co-founder Ilya Sutskever and Jan Leike have been leading the superalignment efforts for several months, with a commitment to use 20% of OpenAI's compute capacity over four years to achieve this goal. The concept of superalignment aims to prevent AI, specifically the post-AGI superintelligent AI, from going rogue and posing potentially catastrophic risks to humanity. The plan involves utilizing "dumber AI" to train and contain the smarter AI, a process for which promising initial results have been reported. Sutskever's pivotal work on the superalignment team is seen as vital to the safe development of advanced AI, amid ongoing concerns about the potential risks posed by superintelligent AI. Despite the uncertainty surrounding Sutskever's future at OpenAI, his continued involvement in this groundbreaking project holds significant implications for the future of AI. OpenAI's invitation to other AI researchers to contribute to its superalignment efforts, backed by a $10 million funding and grants program, underscores the far-reaching impact of this initiative and its potential to shape the future of AI.

Meta AI Announces Purple Llama to Assist the Community in Building Ethically with Open and Generative AI Models

Dec. 12, 2023, 9:30 a.m. • MarkTechPost • (6 Minute Read)

Meta AI has recently introduced Purple Llama, a project aimed at assisting the community in ethically building with open and generative AI models. This initiative comes as a response to the increased capabilities and potential dangers posed by conversational AI agents using large language models (LLMs). Purple Llama offers the Llama Guard, a model for input-output safeguarding based on logistic regression, which categorizes potential dangers in conversational AI agent prompts and responses. Additionally, Meta AI has launched cybersecurity safety assessments for LLMs, aiming to mitigate potential risks such as insecure code proposals and cyberattacks. The project also provides guidelines for labeling LLM output and human requests, aiming to capture the semantic difference between user and agent responsibilities. With Purple Llama, Meta AI seeks to compile resources and assessments to aid the ethical development of open, generative AI models, addressing cybersecurity and input/output safeguard tools, with more tools set for future releases. This initiative underscores Meta AI's commitment to responsible and ethical AI development.

6 free courses to master Generative AI from Microsoft, Google, Harvard, and more

Dec. 9, 2023, 1:14 p.m. • The Indian Express • (6 Minute Read)

Six free courses to master Generative AI from top institutions like Microsoft, Google, and Harvard have been made available to the public, offering a valuable opportunity for individuals to learn and upskill in the field of Artificial Intelligence. These self-paced courses cover a wide range of topics including an introduction to generative AI, responsible AI, and the practical applications of AI in daily life. The courses are being offered by leading experts and institutions, providing participants with insightful content and the potential to earn certificates to showcase their newly acquired skills. This initiative comes at a crucial time when the rapid development of AI is reshaping various industries, offering individuals the chance to stay ahead in this technologically advanced landscape.

Generative AI in IoT: Moving Towards Transformative Applications

Dec. 7, 2023, 6:19 a.m. • Open Source For You • (8 Minute Read)

Generative AI's revolutionary impact on the Internet of Things (IoT) is a hot topic. Given its potential to transform this domain, generative AI can enhance IoT network security and affordability. ChatGPT 3.5's release in November 2022 has sparked widespread interest in generative AI, an AI type that generates new content based on existing data. Its IoT applications include creating synthetic data for machine learning, delivering personalized experiences, improving anomaly detection, enabling on-device machine learning, and automating network management. The rapidly developing generative AI field also offers potential future applications such as creating new types of IoT devices and making them more secure, affordable, and user-friendly. Open source solutions like OpenAI Gym are contributing to the development and training of generative AI models for IoT applications, making the technology more accessible. As generative AI continues to evolve, its potential for innovative and transformative applications in IoT and beyond is undeniable.

This DeepMind AI Rapidly Learns New Skills Just by Watching Humans

Dec. 1, 2023, 7 p.m. • Singularity Hub • (3 Minute Read)

In a recent discovery by Google DeepMind, a new AI has demonstrated the ability to rapidly learn new skills by observing and imitating human actions in real time. Traditionally, AI algorithms required hundreds or thousands of examples to learn from, but this new AI can learn from human demonstrators on the fly, echoing the efficiency of human social learning. The AI was trained in a virtual world using a specially designed simulator called GoalCycle3D, where it successfully imitated expert human and hard-coded agents to navigate obstacles. This breakthrough in rapid social learning in AI marks a significant step toward more intuitive and efficient ways to share human experience and expertise with machines, paving the way for advancements in various practical domains.

Writing Accurate AI Prompts For Best Results In An AI Chatbot

Dec. 1, 2023, 3 p.m. • Forbes • (3 Minute Read)

The news story discusses the importance of crafting effective prompts for AI chatbots to improve the accuracy and relevance of the results generated. The concept of prompt engineering is highlighted as a critical skill, involving the crafting of clear, concise, and unambiguous prompts for large language models (LLMs) to generate desired outputs. Key skills for prompt engineering, such as natural language processing (NLP) and machine learning (ML), are emphasized, along with recommended resources for learning these skills. Additionally, the importance of practice, feedback, and patience in becoming proficient in prompt engineering is highlighted. The article also recommends a primer book, "ChatGPT for Dummies" by Pam Baker, for gaining a better understanding of AI chat engines and writing effective prompts. The author emphasizes that while AI will help augment human intelligence, individuals need to learn to write their prompts or questions in ways that chat engines can understand to obtain the best results.

These Clues Hint at the True Nature of OpenAI's Shadowy Q* Project

Nov. 30, 2023, 10:13 p.m. • WIRED • (5 Minute Read)

The reports of an enigmatic project called Q* at OpenAI have sparked speculations among AI experts. It is believed to be a conventional effort to enhance the capabilities of ChatGPT rather than a groundbreaking development. The project, reportedly led by Ilya Sutskever, focuses on improving large language models (LLMs) through a technique called "process supervision." This involves training the AI model to break down steps needed to solve a problem, enhancing its ability to tackle simple math problems more effectively. The project's name, Q*, may allude to reinforcement learning and the A* search algorithm, while also suggesting the use of synthetic training data. While the true nature of Q* remains shrouded in mystery, it seems to be an attempt to enhance AI reasoning rather than a cause for alarm. The full story on Q* is eagerly awaited while OpenAI remains tight-lipped about the project.

Generative AI: Precursor to Autonomous Analytics

Nov. 25, 2023, 1:34 p.m. • Data Science Central • (6 Minute Read)

In a time of unprecedented change and innovation, Generative AI (GenAI) has opened exciting possibilities for creating novel content. However, the real transformative revolution lies in the advent of autonomous analytics - an emerging type of analytics capable of learning, adapting, and making decisions with minimal human intervention. Autonomous analytics is set to bring about significant benefits across all aspects of society, including healthcare, environmental challenges, transportation safety, manufacturing, entertainment, social and economic equity, and more. This technology can automatically discover optimal methods, update and adjust its rules and models dynamically, and adapt to constantly changing operational situations, marking a substantial leap forward in the quest for Artificial General Intelligence (AGI). With a feedback loop enabling constant learning and adaptation, autonomous analytics is poised to handle complex and dynamic operational challenges, providing faster, more accurate outcomes, and creating new opportunities for value creation. Industry use cases illustrate its potential in various sectors such as healthcare, retail, transportation, agriculture, energy, tourism, security, smart cities, smart hospitals, and smart manufacturing. Autonomous analytics represents the ultimate goal of digital transformation, leveraging AI-human interactions and insights to create new value and opportunities across different domains.

7 Highest-Paying Jobs in Generative AI

Nov. 17, 2023, 11:12 a.m. • India Today

In the latest report titled "7 Highest-Paying Jobs in Generative AI" by Roshni Chakrabarty, the focus is on the growing demand for specialized roles in generative AI which not only offer intellectual fulfillment but also substantial financial rewards. The backbone of generative AI includes Machine Learning Engineers, Natural Language Processing (NLP) Specialists, Computer Vision Engineers, Reinforcement Learning Researchers, AI Research Scientists, Data Scientists, and AI Product Managers. These roles are crucial in driving the field of generative AI forward, with professionals engaging in cutting-edge research, developing algorithms for intelligent systems, and bridging technology and business objectives. These jobs are not only intellectually stimulating but also offer high financial rewards, making them attractive career options in the ever-evolving landscape of technology.

Artificial Intelligence, the SEC, and What the Future May Hold

Nov. 13, 2023, 8:26 p.m. • The National Law Review • (11 Minute Read)

In a recent publication by Foley & Lardner LLP, experts discussed the increasing use of artificial intelligence (AI) in financial markets and the resulting impact on compliance with federal securities laws. The integration of AI, particularly generative AI systems, presents both opportunities and challenges for market participants and regulators. With the rising regulatory interest in AI, broker-dealers and investment advisers are encouraged to evaluate whether their existing compliance programs effectively address AI-related risks. The article also provides an in-depth explanation of AI, its various forms, and its applications in financial markets. Additionally, it outlines the potential risks associated with AI, such as conflicts of interest, market manipulation, deception, fraud, data privacy concerns, and discrimination. The U.S. Securities and Exchange Commission (SEC) has proposed new rules to address these risks and emphasize the importance of evaluating the use of AI in investor interactions. The publication advises firms to proactively assess their use of AI, implement appropriate policies and procedures, and safeguard customer data to ensure compliance with regulatory expectations and mitigate potential risks. As the use of AI in financial markets continues to grow, it is essential for broker-dealers and investment advisers to stay vigilant and take necessary precautions to protect their customers and comply with regulatory requirements.

I spent a weekend with Amazon's free AI courses, and highly recommend you do too

Nov. 13, 2023, 3:58 p.m. • ZDNet • (7 Minute Read)

In a recent article on Amazon's free AI courses, the writer dives into the extensive offerings and provides a highly recommended review. The article, written by David Gewirtz, explores the various free AI training courses offered by AWS, catering to both technical and non-technical audiences. Gewirtz shares his personal experience and highlights specific course options, including an in-depth dive into Generative AI Foundations and hands-on learning opportunities such as AWS DeepRacer and Amazon's Machine Learning University. The article emphasizes the accessibility and quality of these resources, ultimately urging readers to take advantage of these free learning opportunities from Amazon.

Amazon is building a LLM to rival OpenAI and Google

Nov. 8, 2023, 2:53 p.m. • AI News • (5 Minute Read)

Amazon is in the process of developing a large language model (LLM), called Olympus, with an estimated two trillion parameters, to rival existing models from OpenAI and Google. This strategic move positions Amazon in direct competition with major players in the artificial intelligence space. Led by Rohit Prasad, the former head of Alexa, Amazon has consolidated its AI efforts to focus on this ambitious project. The development of homegrown LLMs aligns Amazon with the growing demand for advanced AI technologies, particularly on Amazon Web Services (AWS). The company's substantial investment in LLMs reflects its commitment to innovation and leadership in AI research and development. This significant initiative underscores a new chapter in the race for AI supremacy among tech giants.

How to create music with artificial intelligence

Oct. 30, 2023, 7:30 a.m. • Telefónica • (5 Minute Read)

This story discusses the use of artificial intelligence (AI) in music creation. It highlights several platforms that utilize AI algorithms to generate music based on user requests, such as Stable Audio, AIVA, and Soundful. The article explains the technical process behind AI music composition, involving reinforcement learning algorithms and genetic algorithms. It also explores the question of whether it is possible to distinguish between music composed by AI and music composed by humans, drawing parallels with examples from other fields where AI has outperformed humans, such as chess and poker. The article also raises the issue of copyright in the creative industry when AI is involved in the creation process. Overall, the news story presents an overview of the potential of AI in music creation and the debates surrounding its use.

Artificial intelligence poses risks in public policymaking

Oct. 28, 2023, 3:07 p.m. • Iowa Capital Dispatch • (7 Minute Read)

Artificial intelligence (AI) poses risks in public policymaking, according to a recent article. One concern is that AI can introduce bias into decisions on issues such as parole and judicial sentencing. AI systems, like ChatGPT, have been found to make errors and produce biased results, known as "AI hallucinations." There are different types of AI learning, from supervised to unsupervised, and they are used to perform tasks in policymaking, such as pattern detection, policy forecasting, and policy evaluation. However, the integrity of fact-based data is crucial, and there are concerns about the lack of regulation in areas like healthcare, where AI may automate and worsen racial biases. Additionally, automation bias in machines can lead to confirmation bias in individuals, potentially undermining the consideration of alternative viewpoints or treatments. While there are many benefits to AI, such as saving lives and improving efficiency, there is a need for transparency, regulation, and ethics in AI systems used in public policy. The article emphasizes the importance of educating the public about the risks of AI in public policy and the need for organizations to prioritize ethics and the common good in the absence of comprehensive laws covering AI use and development.

What Is Claude AI and Anthropic? ChatGPT's Rival Explained

Oct. 27, 2023, 11:44 a.m. • Tech.co • (6 Minute Read)

The article introduces readers to Claude, an AI chatbot developed by startup company Anthropic. Claude, powered by the language model Claude 2, has garnered significant attention and over 350,000 sign-ups for its waitlist. Anthropic, based in San Francisco, focuses on creating reliable and interpretable AI systems and was founded in 2021 by Dario and Daniela Amodei. Anthropic has received funding from Google and Amazon, with investments totaling in the hundreds of millions. The article explains the key differences between Claude and ChatGPT, including their language models, data retention, response moderation, context window size, and revenue. Overall, Claude is highlighted as a capable and well-engineered AI chatbot that offers an alternative to ChatGPT.

Artificial intelligence and financial stability

Oct. 26, 2023, 11:04 p.m. • CEPR • (7 Minute Read)

The use of artificial intelligence (AI) in the financial sector is growing rapidly, and financial authorities must keep up in order to remain effective. While AI offers many benefits, such as more efficient financial services at a lower cost, it also presents new challenges and has the potential to destabilize the financial system. There are several criteria that need to be evaluated when using AI for regulatory purposes, including data availability, immutable rules, clear objectives, decision-making capabilities, accountability for mistakes, and the impact of mistakes. However, there are conceptual challenges that impede the use of AI in financial stability, such as the inconsistency and limited sharing of financial data, the occurrence of unknown unknown events, the complex interaction between authorities and the private sector, and the reliance on fixed objectives. Distributed decision-making processes involving all stakeholders are crucial for resolving financial crises, and AI lacks the ability to understand implicit information and lacks democratic legitimacy. The rapid expansion of AI in the private sector also poses risks, such as the facilitation of criminal or terrorist activities. The financial authorities need to respond to the growing use of AI, as it will likely provide essential advice to senior policymakers. However, there is a need for accountability and oversight of AI systems, as well as a clear understanding of their limitations. Overall, while AI brings benefits, it also requires careful consideration and regulation to ensure financial stability.