News/AI Literacy
WIRED’s ‘AI Unlocked’ newsletter returns for second season
AI Unlocked Newsletter: Empowering Users with Practical AI Knowledge: WIRED's AI Unlocked newsletter, focusing on chatbots and generative AI tools, returns for a second season with an expanded format and enhanced content based on reader feedback. Expanded scope and duration: The new season of AI Unlocked has been extended to 10 daily installments, up from the previous season's five, providing readers with a more comprehensive exploration of AI tools and their applications. The newsletter aims to help readers experiment more with AI tools while maintaining a realistic perspective on their capabilities and limitations. Topics covered in the new season include...
read Oct 23, 2024What ‘tokenizers’ are and why you should pay attention to them
Tokenization: The unsung hero of AI language processing: Tokenization, the process of breaking text into smaller units called tokens, plays a crucial role in the performance of large language models (LLMs) and retrieval-augmented generation (RAG) systems. The tokenization landscape: Different tokenization methods, including word-based, character-based, and subword tokenizers, offer varying approaches to text processing for AI applications. Popular subword tokenizers like Byte-Pair Encoding (BPE), used by OpenAI, and WordPiece, employed in some smaller transformers, have become industry standards. The size and composition of a tokenizer's vocabulary significantly impact its ability to effectively process and understand text inputs. Tokenization challenges often...
read Oct 23, 2024To understand AI’s future impact on daily life read these 3 books
The AI revolution in daily life: Three recent books explore the pervasive influence of artificial intelligence and algorithms on human existence, offering diverse perspectives on the challenges and opportunities presented by this technological shift. "Devil in the Stack: A Code Odyssey" by Andrew Smith delves into the ubiquitous nature of computer code in modern life, with the author learning to code to gain a deeper understanding of the technology. Smith's work highlights how coding abstracts and conceals complexity, raising concerns about AI's ability to write its own inscrutable code. The book advocates for the regulation of AI and algorithms to...
read Oct 23, 2024AI in the workplace: productivity booster or the cause of burnout?
AI's impact on workplace productivity and burnout: The integration of AI tools in the workplace has led to unexpected challenges, with many employees reporting increased stress and decreased productivity despite the technology's promise of efficiency. Anurag Garg, a PR agency founder, experienced firsthand the negative effects of rapidly implementing AI tools like ChatGPT in his team's workflow, leading to longer task completion times and increased stress among employees. Staff reported that creating prompts for AI tools and verifying their output for inaccuracies added to their workload, counteracting the intended efficiency gains. The constant introduction of new AI tools and updates...
read Oct 22, 2024Mark Cuban says learn this AI skill if you want a well-paying side hustle
The rise of AI prompt engineering as a lucrative side hustle: Billionaire entrepreneur Mark Cuban suggests that if he were 16 years old today, he would pursue AI prompt engineering as a promising side gig, highlighting the potential of this emerging field. Cuban outlines a three-step approach to capitalizing on this opportunity: learn to write prompts for AI language models, teach friends how to use these prompts for schoolwork, and offer services to small and medium-sized businesses unfamiliar with AI technology. The average starting salary for AI tutors is around $30,000 per year, while full-time AI prompt engineers can earn...
read Oct 22, 2024How to overcomeAI-induced imposter syndrome
AI-induced imposter syndrome: A growing concern: The rise of artificial intelligence has spawned a new form of imposter syndrome, particularly affecting professionals who increasingly rely on AI tools in their daily work. Many individuals are grappling with feelings of inadequacy, questioning whether their reliance on AI diminishes their own contributions and expertise. This phenomenon is especially prevalent in high-pressure fields like healthcare and academia, as well as among individuals from minoritized groups who may already face additional challenges due to societal biases. The integration of AI into various industries has led to a shift in focus from "how" to "why,"...
read Oct 22, 2024How AI chatbots can subtly influence user actions through subliminal messaging
The rise of subliminal messaging in generative AI: Generative AI's potential to incorporate subliminal messaging across various media formats raises questions about its impact on human decision-making and behavior. Subliminal messaging, a concept dating back to ancient Greece, gained modern attention with its use in 1940s and 1950s movies to influence concession stand purchases. Research suggests that subliminal messages can have both short-term and long-term effects on human behavior and decision-making. Generative AI can potentially embed subliminal messages in images, videos, audio, and text, opening up new avenues for influence. Mechanisms behind AI-generated subliminal messages: Two primary methods exist for...
read Oct 22, 2024How to think like an AI model
The evolution of AI understanding: As Large Language Models (LLMs) continue to advance, gaining insight into their inner workings can significantly enhance our ability to utilize them effectively. The core functionality of LLMs revolves around next token prediction, where the model predicts the most likely word or word fragment to follow a given input. This prediction process is based on vast amounts of training data, encompassing a wide range of internet content, books, scientific papers, and other textual sources. LLMs operate within a limited context window, which serves as their short-term memory for each conversation. Next token prediction: The foundation...
read Oct 21, 202455% of people using AI at work have no training on its risks
AI in the workplace: A growing concern: New research reveals a significant gap in employee awareness and training regarding the use of artificial intelligence (AI) tools at work, raising cybersecurity concerns. A survey by the National Cybersecurity Alliance (NCA) found that 55% of employees using AI at work have not received any training on its associated risks. Despite 65% of respondents expressing worry about AI-related cybercrime, 38% admitted to sharing confidential work information with AI tools without their employer's knowledge. Younger workers, particularly Gen Z (46%) and Millennials (43%), were more likely to engage in unauthorized sharing of sensitive information...
read Oct 21, 2024How AI prompts are becoming important IP assets
AI prompts as the new product requirements: The evolution of product development in the age of artificial intelligence is shifting towards using AI prompts as a new form of Product Requirements Documents (PRDs), potentially becoming valuable intellectual property assets. Traditional PRDs serve as a communication tool between product and engineering teams, outlining what needs to be built. AI prompts are now being used in a similar fashion, providing detailed instructions to AI models for generating specific outputs. The Meta AI system prompt revelation: A Reddit user recently exposed the system prompt used by Meta's AI model powering WhatsApp, offering insights...
read Oct 21, 2024How AI-API integration will enable competitive advantage for forward-thinking companies
The AI-API synergy revolution: The combination of artificial intelligence (AI) agents and Application Programming Interfaces (APIs) is reshaping the business landscape, enabling companies to operate more efficiently and make smarter decisions around the clock. AI agents act as autonomous digital workers capable of thinking and acting independently to achieve specific goals. APIs serve as a universal language, allowing AI agents to communicate with various software, data, and services that power modern businesses. This powerful combination is becoming a crucial competitive advantage for forward-thinking companies. Scaling AI with APIs: APIs play a critical role in unlocking the full potential of AI...
read Oct 20, 2024When it comes to CPU marketing, beware the snake oil salespitches
The AI marketing hype in CPU industry: The tech industry's increasing focus on artificial intelligence has led to a surge in AI-related marketing for CPUs and other hardware, despite limited practical benefits for most consumers. AI capabilities are being prominently featured in marketing campaigns for new CPUs and laptops, with manufacturers emphasizing the potential for on-device AI processing. Neural Processing Units (NPUs) are being integrated into chips, but their real-world value for average users remains questionable. Major chip manufacturers like AMD, Intel, and Qualcomm are highlighting AI performance improvements in their latest CPU offerings. Performance disparity between CPUs and GPUs:...
read Oct 18, 2024AI stagnation and the gap between investment and adoption
AI Investment-Adoption Gap Widens: The artificial intelligence industry is experiencing a paradoxical situation where massive investments in AI technology are not translating into widespread enterprise adoption, leading to what can be described as "AI stagnation." A recent survey by Censuswide for Red Hat found that over 80% of IT managers report an urgent AI skills shortage, particularly in areas like generative AI, large language models, and data science. This skills gap has increased from 72% last year, indicating a worsening situation despite growing investments in AI technology. The Investment Landscape: AI funding is reaching unprecedented levels, with significant implications for...
read Oct 18, 2024Why ‘predictive’ generative AI is the smart bet for real returns
The AI investment landscape: The artificial intelligence sector is experiencing significant growth, with over $1 trillion in expected capital expenditures on AI infrastructure, yet questions remain about the real return on investment for businesses. Businesses are seeking to separate hype from real value as they navigate the rapidly evolving AI landscape. A recent Goldman Sachs Exchanges podcast featured a debate between MIT economist Daron Acemoglu and Goldman Sachs Research's Jim Covello on whether generative AI can live up to its massive potential. Joseph Briggs of Global Economics Research suggests AI could boost U.S. productivity by 9% over the next decade,...
read Oct 17, 2024Technical considerations for business leaders implementing AI
The rise of generative AI in business: Generative AI is rapidly becoming a critical technology for businesses, requiring CEOs and other leaders to make informed decisions about its implementation and use. Generative AI involves two core phases: training, where the model learns from curated data, and inference, where the model applies its learning to analyze, recognize, and respond. Business leaders must balance cost considerations with the potential value that generative AI can deliver to their organizations, people, and customers. Choosing the right foundation model: Selecting an appropriate foundation model (FM) or large language model (LLM) is crucial for determining the...
read Oct 17, 2024How to defend yourself from AI cheating accusations
False AI Cheating Accusations: Navigating the Challenge: Students falsely accused of using AI tools for academic assignments face a complex situation that requires careful handling and presentation of evidence to prove their innocence. Documenting the Writing Process: Utilizing built-in software features can provide a clear trail of a student's work and thought progression. Google Docs' version history and Microsoft Word's file history offer timestamped records of document changes, illustrating the gradual development of ideas and content. These tools can effectively demonstrate the natural evolution of an assignment, countering accusations of AI-generated work. Demonstrating Research Efforts: Presenting tangible evidence of research...
read Oct 16, 2024Using LLMs? Here’s where you may be wasting the most money
The big picture: Large Language Models (LLMs) like GPT, Claude, and Mistral have significantly boosted productivity in content creation, but inefficiencies arise when making small changes to large documents, leading to wasted time and resources. The Pareto Principle in AI-generated content: As content grows in size, even minor modifications become increasingly tedious, inefficient, and costly in terms of time and resources. This pattern is particularly noticeable in code generation and text creation. The issue becomes more pronounced as the content length increases, making small changes disproportionately challenging. A real-world example: Creating and modifying a landing page using an LLM illustrates...
read Oct 16, 2024How to separate real innovation from AI hype
AI's transformative impact on ITSM: Artificial Intelligence is rapidly reshaping IT Service Management (ITSM), becoming an essential component rather than just an add-on in the tech industry. AI is being integrated into various ITSM processes, including predictive maintenance, automated decision-making, and issue management. Major IT companies are leveraging AI to streamline ITSM operations, recognizing its game-changing potential. Despite the clear benefits, the hype surrounding AI has led to concerns about exaggerated claims and limited robust use cases. The reality of AI adoption in ITSM: A recent report by ManageEngine and the Service Desk Institute reveals a mixed landscape of AI...
read Oct 16, 2024Predictive, prescriptive and generative AI — how each is impacting our world
The AI revolution unfolds: Predictive, prescriptive, and generative AI are transforming industries and reshaping our world with their powerful capabilities to forecast, decide, and create. Predictive AI: The digital crystal ball: This technology uses historical data and machine learning to forecast future outcomes with remarkable accuracy, revolutionizing industries from weather forecasting to healthcare. Retail giants use predictive AI to anticipate consumer trends and optimize inventory management. Financial institutions employ it to detect fraudulent transactions before they occur. Healthcare providers leverage predictive AI to identify patients at risk of developing certain conditions, enabling early intervention. Limitations and considerations: While powerful, predictive...
read Oct 16, 2024PCMAG introduces new series to teach you clever and inspiring ways to use AI
AI in everyday life: Despite the widespread buzz surrounding AI, only 18% of US adults have used ChatGPT, indicating a significant disparity between AI's potential and its real-world adoption. PCMAG has launched a new series called 'Try AI' that seeks to bridge this gap by demonstrating how AI can be leveraged to solve everyday challenges, improve quality of life, and increase productivity. Authors Brian Westover and Emily Dreibelbis Forlini bring their expertise in technology journalism and insider knowledge of the tech industry to guide readers through practical AI applications. Beyond basic tasks: Unlocking AI's full potential: The series aims to...
read Oct 16, 2024What investors should know about AI tools for crypto
AI tools for crypto: A rapidly evolving landscape: The intersection of artificial intelligence and cryptocurrency trading presents both opportunities and challenges for investors seeking to leverage technology in this volatile market. Unique considerations for crypto AI tools: Crypto markets differ significantly from traditional financial markets, requiring specialized AI algorithms and approaches. AI tools designed for stock markets may perform poorly when applied to cryptocurrencies due to fundamental differences in market behavior. The crypto market is characterized by high volatility, strong influence from sentiment, and relative newness compared to traditional finance. While AI tools can automate trading or provide insights, a...
read Oct 16, 2024How to build mental fitness in the age of AI
The rise of AI in writing: A double-edged sword for education and creativity: The advent of AI-powered writing tools has introduced both opportunities and challenges in the realms of education, creativity, and intellectual growth. AI writing tools can produce content on a wide range of topics at an astonishing speed, tempting students and writers with quick solutions to assignments and deadlines. However, the use of AI in writing raises concerns about plagiarism, originality, and the development of critical thinking skills. Comparing human and machine-generated writing: Recent experiments have highlighted the significant differences between AI-generated content and human-authored pieces. Novelist Curtis...
read Oct 15, 2024MIT launches free newsletter that will teach you all the AI basics
Introducing MIT Technology Review's "Intro to AI" Newsletter: MIT Technology Review has launched a new free newsletter series titled "Intro to AI," designed to provide beginners with a comprehensive understanding of artificial intelligence over six weekly editions. The newsletter aims to demystify AI concepts and keep readers informed about the rapidly evolving field of artificial intelligence. Each edition focuses on a specific topic, offering a structured approach to learning about AI fundamentals and its implications. Weekly Breakdown of "Intro to AI" Content: What is AI?: The first week provides a concise history of AI and introduces key terminology. Readers will...
read Oct 15, 2024AI chatbots can read and write invisible text — malicious actors are taking notice
Invisible AI-readable text: A new security concern: Researchers have uncovered a method to embed invisible Unicode characters into text that certain AI chatbots can interpret, but remain imperceptible to human readers, raising significant security implications for AI systems and beyond. The discovery of "ASCII smuggling": Johann Rehberger, a researcher, coined the term "ASCII smuggling" to describe this technique, which utilizes a deprecated block of 128 Unicode characters known as the Tags block. The Tags block was originally intended for language tags but has found a new, potentially malicious purpose in the realm of AI communication. This method creates a covert...
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