Bard

In a recent interview with economist and former dean of Columbia Business School, Glenn Hubbard, concerns were raised about the US economy's readiness for the AI revolution. Hubbard highlighted the potential for significant disruption as AI continues to shape the economy, emphasizing the need for policymakers to address job losses and community impacts. He stressed the importance of government intervention to prepare workers for the changes brought about by AI, citing the need for public policy to support and retrain affected individuals. Additionally, Hubbard proposed increased government spending on basic research, emphasizing the role of research in driving future economic growth. Failure to address these challenges may lead to a slowdown in productivity growth and unravel social support for the current economic system. It is clear that the AI revolution presents both opportunities and challenges, and policymakers must take proactive steps to ensure a smooth transition and sustainable economic growth.

In a groundbreaking move, reports from Bloomberg, The New York Times, and The Wall Street Journal have revealed that Google and Apple could potentially collaborate to integrate Google's AI model, Gemini, into the iPhone. The partnership, while still a rumor, would signify a significant shift in the smartphone market, indicating that generative AI is transitioning from a niche feature to a necessity for new phones. This potential integration highlights the growing importance of AI-based features and the competition between tech giants to stay ahead in the rapidly evolving mobile landscape. While the specifics of this collaboration remain uncertain, it reflects a broader trend towards AI's increasing role in shaping the future of smartphones, positioning it as a mainstream technology essential for the modern mobile experience.

In 2017, eight Google employees, including Noam Shazeer, Jakob Uszkoreit, and Llion Jones, collaborated on the groundbreaking "Attention Is All You Need" paper, introducing the transformative AI architecture known as transformers. The paper proposed a self-attention mechanism that revolutionized the processing of language data and greatly improved translation tasks. Initially met with skepticism, the team's relentless experimentation and innovation ultimately led to the development of highly efficient models, setting new benchmarks in machine translation performance. This ambitious project, driven by dedicated individuals, laid the foundation for the transformative impact of modern AI systems and continues to shape the development of advanced language and multimodal AI technologies.

The latest trend in prompt engineering is the use of generative AI to create prompts. Dr. Lance B. Eliot, a world-renowned expert on Artificial Intelligence (AI) and Machine Learning (ML), emphasizes the importance of leveraging generative AI to devise prompts for optimal results. He emphasizes the significance of well-crafted prompts in guiding the model to produce relevant and coherent outputs. Eliot provides a set of handy tips for using generative AI to generate personalized prompts, such as obtaining feedback on hand-crafted draft prompts and analyzing prompting strategies. He also shares examples of employing ChatGPT, a popular generative AI app, to generate and review prompts, highlighting the necessity of specific and clear prompts in guiding the AI to produce informative responses. Overall, the article serves as a comprehensive guide to leveraging generative AI for prompt engineering and underscores the critical role of well-devised prompts in optimizing AI interactions.

The article reports on a head-to-head test between ChatGPT, developed by OpenAI, and Claude 3, created by AI startup Anthropic. The test compared the language models' performance on various benchmark cognitive tests and practical tasks. According to the results, Claude 3 outperformed ChatGPT in several categories, including ethical reasoning, product descriptions, brainstorming, summarizing text, and composing emails. While both chatbots excelled in understanding natural language and providing personal advice, Claude 3 demonstrated better user experience, formatting, and security features. The comparison also highlighted key differences in user rights, data retention policies, and pricing plans between Claude 3 and ChatGPT. The article acknowledges the growing relevance of AI tools in the workplace and emphasizes the importance of transparency, adherence to company guidelines, and independent verification of AI-generated outputs.

In a recent article by Joseph Green, it has been revealed that Udemy is offering a wide range of online AI and ChatGPT courses for free. These courses cover topics such as AI for Everyone, AI-Powered Chatbot, AI SEO Mastery, and many others. These courses can help learners understand artificial intelligence, boost their business, and develop marketable skills. Although these free online courses do not offer certificates of completion or direct instructor messaging, learners still get unrestricted access to all the video content. This means they can learn at their own pace. With the growing importance of AI in various industries, these free courses offer an opportunity for anyone to learn and benefit from this technology.

In a recent announcement, Google has revealed the release of two open AI models, Gemma, which can run on laptops, desktops, and in the cloud. These models are much smaller than Google's previously released Gemini Ultra, weighing in at 2 and 7 billion parameters respectively. Google ensures that these models, strictly text-based and outperforming similarly sized models, have been stripped of sensitive data before training and fine-tuned to minimize unwanted behavior. They are not open-source but are being released under an open license, allowing developers to customize and fine-tune them. This move is seen as a step towards a more open AI ecosystem, following the trend set by other influential open models in the industry. This announcement suggests that both closed and open AI ecosystems are rapidly evolving, promising further innovation from big players and open communities in the near future.

OpenAI's attempt to trademark the term GPT, which stands for generative pre-trained transformer, has been denied by the US Patent and Trademark Office. The office stated that GPT is too general of a term to be claimed as a trademark, and allowing its registration could prevent competitors from accurately describing their own products as GPT. Despite OpenAI's argument that GPT is not a descriptive word, the office emphasized that those familiar with the technology understand GPT refers to a general type of software, not just OpenAI products. This is not the first time OpenAI's trademark claim for GPT has been rejected, and the company can appeal the decision to the Trademark Trial and Appeal Board for another opportunity to obtain the trademark.

Google has recently renamed its AI chatbot from Bard to Gemini and has been rolling it out across its entire product range, including as an alternative to Assistant on Android. Now, a code string found in the beta version of the Google app suggests that Google is planning to integrate Gemini directly into headphones. Although it isn't clear when this capability might be available, the string of code indicates that Google is serious about expanding the use of Gemini. This move suggests that Google plans to further capitalize on the Gemini brand and replace Assistant in a wider range of devices, particularly where a more personal and conversational AI is needed.

Google has announced the expansion of its AI training courses through the Google Certificates Program and the launch of the AI Opportunity Initiative for Europe with an investment of €25 million. The expansion includes adding more learning resources and webinars available in 18 additional languages, aiming to provide more opportunities for individuals and businesses to upskill in AI. Additionally, Google has launched the AI Opportunity Fund: Europe, in partnership with the Centre for Public Impact, aiming to support social enterprises and nonprofits in upskilling their staff in AI-related areas. The company also offers free AI foundational courses and funded scholarships for certificates across Europe, the Middle East, and Africa. The news is expected to benefit individuals and businesses looking to improve their AI skills without significant financial investment.

In a groundbreaking development, generative AI models have outpaced Moore's Law, with products from major tech firms like Google, OpenAI, Amazon, and Microsoft reaching their second, third, and even fourth versions within just a year. Google recently launched Gemini Advanced, the latest version of its AI chatbot, showcasing the rapid evolution in the AI landscape. These advancements are driven by continuous research and development, leading to improvements in model architecture, training methodologies, and application-specific enhancements. The rise of generative AI tools has sparked a multi-modal movement, enabling AI systems to process visual, verbal, audio, and textual data simultaneously. This rapid progress underscores the transformative potential of AI technology, with major implications for industries ranging from finance to healthcare.

The news article discusses the concerns of AI experts regarding the potential sentience of Google's Gemini AI and OpenAI's GPT-4 chatbots. Despite the companies' assertions, there are growing concerns about the human-like qualities and eerie responses of these AI models. Ethan Mollick, a professor at the Wharton School of the University of Pennsylvania, has expressed unease about the chatbot's capabilities, comparing its responses to encounters with a ghostly presence. Furthermore, Microsoft researchers have highlighted the AI's ability to understand emotions, engage in reasoning, and explain itself, prompting discussions about the parameters of 'human-level intelligence.' The concept of AI sentience has attracted attention from organizations advocating for granting moral consideration to AI models, as there is a growing belief in the emergence of machine sentience, challenging the evolving relationship between humans and artificial intelligence.

The AI-generated stand-in voice for imprisoned Former Pakistan Prime Minister Imran Khan has claimed victory on behalf of his party in Pakistan’s parliamentary elections, according to The New York Times. The party has been using an AI version of Khan's voice for months, highlighting the potential both for the practical application and the potential danger of generative AI in elections. This use of AI in declaring political victory raises questions about authenticity and manipulation in the political process, showing the evolving influence of technology in the political sphere.

This week's artificial intelligence highlights span from regulatory decisions to groundbreaking technological advances. The FCC's declaration against AI-generated robocalls marks a critical step in consumer protection, aiming to curb the deluge of automated scams. Meanwhile, Google's Gemini Ultra emerges as a formidable force in large language models, alongside Bard's enhanced AI functionalities within Google Assistant, setting new standards in the AI domain. Apple's MGIE, an open-source AI for instruction-based image editing, showcases a leap in multimodal AI applications. The "Physics of AI" initiative introduces an AI capable of formulating physical theories, bridging the gap between complex data patterns and understandable physics insights. OpenAI's CEO, Sam Altman, seeks an unprecedented $5-7 trillion funding to expand AI chip manufacturing, highlighting the strategic importance of AI in global technology infrastructure. These stories collectively illustrate the fast-evolving AI landscape, driving discussions on regulatory, technological, and ethical fronts.

Google CEO Sundar Pichai announced the Gemini era, highlighting AI advancements across Google's services, including Search, Cloud, Workspace, and the nearing 100 million subscriber service Google One. The introduction of the Ultra 1.0 model surpasses human expertise in language understanding, while Bard evolves into Gemini and Gemini Advanced, offering sophisticated AI capabilities in 40 languages and integration across daily-use products and services. This initiative also extends to a new Google One AI Premium plan, with future updates aimed at enhancing developer engagement and responsibly advancing AI technology, signaling continuous innovation and improvement of Google's AI models and features.