OpenAI is preparing to launch "Operator," an AI agent designed to automate computer tasks such as coding and travel booking. Set for a research preview release in January through OpenAI's API, Operator marks the company's foray into autonomous AI agents.

Event Begins: Thursday, November 14, 2024 1:00pm
Location:
Organized By: University Career Center

Are you an accounting major looking to learn more about theopportunities at KPMG? Are you unsure where you fall in KPMG’s recruiting timeline? If so, please join us for Accounting Chats with KPMG Recruiters!We at KPMG want to get to know you better and hear about your professional goals. During this virtual event, you will have the opportunity to meet with members of the KPMG recruiting team. We can review the KPMG recruiting process, discuss the various KPMG career paths for accounting students, and of course, answer any questions you might have.You are not required to attend the entire 2-hour event – stop by as your schedule allows!If you have any questions about the event, please don't hesitate to reach out. We hope you can join us!

You may have seen a Reddit post about how ChatGPT saved a person's life, but it turns out the original poster just asked ChatGPT to make something up.

* https://news.ycombinator.com/item?id=42129064 * https://www.raspberrypi.org/blog/using-generative-ai-to-teach-computing-insights-from-research/

The decision against Narinder Dosanjh, obtained by The Canadian Press, includes the running commentary on the woman's testimony — apparently written by someone inside the courtroom — that calls her a "bad drunk" and says there was "no way" her case would be proved.

India wicketkeeper batter KL Rahul has opened up on the animated chat between Lucknow Super Giants' owner Sanjiv Goenka during the 2024 IPL when LSG were hammered by Sunrisers Hyderabad (SRH).

Zendaya revealed that the Challengers cast still stays in touch with a “group chat”.In a conversation besides the star-studded lineup for the cover of Vanity Fair’s 31st Annual Hollywood Issue, the actress revealed what role she plays amongst the members of the...

Following a crushing 10-wicket defeat against Sunrisers Hyderabad, LSG owner Sanjiv Goenka expressed his displeasure and engaged in a heated discussion with the captain on the field.

As marketers and CX leaders seem reluctant to totally dive into generative AI, usage skyrockets.

Möchtest du 5−10k/Monat als Chatter verdienen? Wir suchen aufgrund der Übernahme großer deutscher Creators und eines Exklusivdeals mit einer Platform nach mehreren Chattern, die zu flexiblen Arbeitszeiten Vollgas geben wollen. Was werden deine Aufgaben sein: -->Direkte Kommunikation mit Kunden, langfristige Beziehungen aufbauen und Einwände behandeln auf großen Accounts, die potenziell sofort mehrfach 6-Stellig monatlich umsetzen können -->Sales-Prozesse anwenden und optimieren mit unserer… | Fleur Agency – Hamburg

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Chatbots are all the business buzz – and for good reason.

They give customers of any-size business critical answers to pressing questions quickly.

They can:

Boost your average order value.
Accelerate the buyers’ journey.
Reduce your customer service costs.

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Nearly 50 years after his directorial debut, Academy Award-winning filmmaker William Friedkin is still at it. Director of such classics as The French Connection, The Exorcist, and Sorcerer, he teamed up with playwright Tracy Letts in 2006 for Bug, an...

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Those wanting a firmer grip on chatbots, then, may have to explore more underhand techniques, such as the one discovered by two computer-science researchers at Harvard University. They’ve demonstrated how chatbots can be tactically controlled by deploying something as simple as a carefully written string of text. This “strategic text sequence” looks like a nonsensical … Continue reading ""The Chatbot Optimisation Game: Can We Trust AI Web Searches?""

Make anywhere from $48 to $995 per day by pasting one line of code on your website to deploy an A.I. chatbot that sucks in free traffic and converts leads into sales… Without writing a single line of code, or needing any techie skills whatsoever! Say goodbye to: • Hiring an expensive programmer to code […]

Marketing technology has evolved so fast that before you know it, chatbots have also gone through a radical make-over in their algorithm and appearance. You may recall that for chatbots of old, you need to ‘preset’ it with a list of predefined questions and the expected corresponding responses/answers, which takes time as well as work […]

ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. (via Wikipedia).

Basically, it’s all the rage lately and I’ve done extensive testing on it to determine (1) its usefulness and (2) its pitfalls. And no, I didn’t use it to come up with the text of this post. This is really just a very quick, very broad overview and introduction to what this is and how it’s being used.

First, I’ll [...]

The post What’s all this about ChatGPT? appeared first on Create + Design + Market.

Many claim that search results from ChatGPT are better than traditional searches, and now there's an easy way to test it out.

As the AI chatbot's advanced conversational capabilities continue to generate buzz, here are detailed answers to your most-asked questions.

Are you ready to immerse yourself in everything ChatGPT Search has to offer? This quick trick may be for you.

oday, I'm talking with friend and author Angela Doll Carlson about living the liturgical year. From logistics and practicalities to marriage and community, there's a little something for everyone in this episode (yes, even men!).

In this episode, Fr. Anthony talks with priest, professor, and canonist, Fr. Harry Linsinbigler, about his new books (“In Every Church” and “Orthodox Ecclesiology”) and why it’s important to get ecclesiology right. This is the audio of a YouTube livestream interview. The followup interviews on ecclesiology and the coronavirus and ecclesiology and Ukrainian autocephaly are available on YouTube and at OrthoAnalytika.

The guys are back to kick off season 5 by discussing Dave Chapelle’s new comedy special, Sticks and Stones. They discuss whether Chapelle’s humor is puerile or prophetic, the need to speak truth fearlessly, and the complicated nature of the modern moral order. They close with their Top Next 5 Comedy Specials.

Aim/Purpose: The purpose of this article is to provide an overview and analysis of the emerging research landscape surrounding the integration of ChatGPT into education. The main problem appears to be that this is a new, rapidly developing research area for which there is no comprehensive synthesis of the current literature. The aim of the article is to fill this gap by conducting a timely bibliometric study to map publication trends, influential works, themes, and opportunities, thus representing the growth and structure of ChatGPT educational research. Background: This article addresses the issue of the lack of a comprehensive synthesis of the new research on ChatGPT in education by conducting a bibliometric analysis. Specifically, the authors use statistical and network analysis techniques to examine the patterns of publication, citation, and keywords and map the growth, contributions, themes, structure, and opportunities in this evolving field. The bibliometric approach provides a comprehensive, evidence-based overview of the current state of the literature to uncover trends and gaps and help researchers improve their understanding of appropriate and effective applications of ChatGPT in educational contexts. Methodology: The authors used bibliometric analysis as the primary method to summarize the new research on ChatGPT in education. We searched the database of the Web of Science Core Collection to find 51 relevant documents from 2023 that included ChatGPT in the title and were classified as ‘educational research.’ The sample consisted of these 51 documents, including articles, early access articles, editorials, reviews, and letters. Statistical techniques examined publication, citation, and keyword patterns. Network analysis visualized citation and co-occurrence networks to reveal intellectual structure. The multifaceted bibliometric approach allowed a comprehensive study of the sample from a productive, conceptual, and intellectual perspective. Contribution: This article conducts comprehensive bibliometric analysis of this emerging research area and synthesizes publication, citation, and keyword data to map the growth and structure of the literature. The results reveal important trends, such as the rapid growth of publications since the release of ChatGPT, initial authorship patterns, the focus on higher education applications, and distinct research clusters around pedagogical, ethical, and assessment issues. Visualizing citation networks identifies seminal studies while mapping co-occurrence clarifies conceptual relationships between topics. The comparative analysis highlights the differences between document types, topics, and time periods. Knowledge mapping highlights gaps in the literature, such as lack of focus on K-12 contexts, and highlights opportunities for further research. Findings: Key findings from this bibliometric analysis of the emerging research land-scape surrounding ChatGPT integration in education include the following: • Since ChatGPT was released in late 2022, the number of releases has increased significantly, indicating rapid growth in this emerging space. • The most cited authors initially came primarily from Anthropic, but over time, the citations spread throughout the research community. • The topics focused primarily on higher education applications, with a clear focus on pedagogical strategies, ethical risks, and implications for assessment. • Citation networks visualized seminal studies, while the co-occurrence of keywords clarified conceptual connections. • Gaps such as applications in the K-12 context were uncovered, and opportunities for further research were highlighted. • The literature is rapidly evolving and requires ongoing monitoring of the development of this field. In general, the analysis presents the productivity, contributors, themes, struc-ture, and opportunities in this emerging area around the integration of ChatGPT in education based on current scientific evidence. The key findings focus on the growing early interest, gaps and developments that can provide insight for researchers and educators. Recommendations for Practitioners: Practitioners should carefully integrate ChatGPT into education based on new evidence, carefully assess contextual applicability, and proactively develop guidelines for ethical and equitable implementation. Ongoing advice, impact monitoring, and research partnerships are crucial to informing best practices. Educators must be vigilant for risks such as privacy, student well-being, and competence impairment while staying abreast of advances in knowledge to dynamically adapt integration strategies. The introduction should empower diverse learners through measured, integrative approaches based on continuous contextual analysis and ethical principles. Recommendation for Researchers: This article recommends that researchers conduct more studies in under-researched contexts, use multiple methods to capture nuanced impacts, increase focus on responsible integration strategies, develop tailored assessments, conduct interdisciplinary collaborations, monitor long-term adoption, mix with interactive explain and publish open access technologies, help guide adoption pathways through actionable studies, and synthesize the exponentially growing literature through updated systematic reviews. Impact on Society: The rapid publication growth and prevailing optimism suggest that the integration of ChatGPT into education will accelerate, increasing the need for rigorous research that guides ethical, responsible innovations that avoid risks and improve outcomes in all educational contexts. The findings have broader implications for guiding adoption trajectories through ongoing evidence synthesis and expanded investigations in under-researched areas to address knowledge gaps. Ultimately, continued monitoring and updated guidance are critical to ensure that ChatGPT’s educational penetration progresses carefully by maximizing benefits and minimizing harms in rapidly evolving AI-powered learning ecosystems. Future Research: Based on the basic mapping provided by this paper, recommended research directions include longitudinal impact studies, research tailored to under-researched contexts such as K-12, qualitative research to capture stakeholder perspectives, development and testing of AI-calibrated assessments as well as explorations that combine conversational and interactive learning technologies, updated systematic reviews, and co-designed implementation research that explain pedagogical strategies that ethically unlock learning potential while mitigating risks in diverse educational environments. Such multilayered tracking can provide critical insights to guide context-specific, responsible ChatGPT integration and monitor impact within rapidly evolving AI-powered education ecosystems.

Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians’ intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on academicians’ adoption behavior is limited. This study proposes an integrated model incorporating TTF factors and social network characteristics like density, homophily, and connectedness to understand academics’ continuance intentions. Methodology: A qualitative study involving 31 interviews of academics from India examined attitudes and the potential role of social network characteristics like density, homophily, and connectedness in adoption. Results showed positive sentiment towards chatbots and themes on how peer groups accelerate diffusion. In the second phase, a survey of 448 faculty members from prominent Indian universities was conducted to test the proposed research model. Contribution: The study proposes and validates an integrated model of TTF and social network factors that influence academics’ continued usage intentions toward AI chatbots. It highlights the nuanced role of peer networks in shaping adoption. Findings: Task and technology characteristics positively affected academics’ intentions to continue AI chatbot usage. Among network factors, density showed the strongest effect on TTF and perceived usefulness, while homophily and connectedness had partial effects. The study provides insights into designing appropriate AI tools for the academic context. Recommendations for Practitioners: AI chatbot designers should focus on aligning features to academics’ task needs and preferences. Compatibility with academic work culture is critical. Given peer network influences, training and demonstrations to user groups can enhance adoption. Platforms should have capabilities for collaborative use. Targeted messaging customized to disciplines can resonate better with academic subgroups. Multidisciplinary influencers should be engaged. Concerns like plagiarism risks, privacy, and job impacts should be transparently addressed. Recommendation for Researchers: More studies are needed across academic subfields to understand nuanced requirements and barriers. Further studies are recommended to investigate differences across disciplines and demographics, relative effects of specific network factors like size, proximity, and frequency of interaction, the role of academic leadership and institutional policies in enabling chatbot adoption, and how AI training biases impact usefulness perceptions and ethical issues. Impact on Society: Increased productivity in academia through the appropriate and ethical use of AI can enhance quality, access, and equity in education. AI can assist in mundane tasks, freeing academics’ time for higher-order objectives like critical thinking development. Responsible AI design and policies considering socio-cultural aspects will benefit sustainable growth. With careful implementation, it can make positive impacts on student engagement, learning support, and research efficiency. Future Research: Conduct longitudinal studies to examine the long-term impacts of AI chatbot usage in academia. Track usage behaviors over time as familiarity develops. Investigate differences across academic disciplines and roles. Requirements may vary for humanities versus STEM faculty or undergraduate versus graduate students. Assess user trust in AI and how it evolves with repeated usage, and examine trust-building strategies. Develop frameworks to assess pedagogical effectiveness and ethical risks of conversational agents in academic contexts.

Aim/Purpose: One of the most fascinating developments in computer user interfaces in recent years is the rise of “chatbots”. Yet extent information system (IS) curriculum lacks teaching resources on chatbots programming.. Background: To better prepare students for this new technological development and to enhance the IS curriculum, we introduce a project that teaches students how to program simple chatbots, including a transactional chatbot and a conversational chatbot. Methodology: We demonstrated a project that teaches students how to program two types of simple chatbots: a transactional chatbot and a conversational chatbot. We also conducted a survey to examine students’ perceptions on their learning experience. Findings: Our survey on students’ perception of the project finds that learning chatbots is deemed very useful because chatbot programming projects have enabled the students to understand the subject better. We also found that social influence has positively motivated the students to learn chatbot programming. Though most of the students have no prior experiences programming chatbots, their self-efficacy towards chatbot programming remained high after working through the programming project. Despite the difficult tasks, over 71% of respondents agree to various degrees that chatbot programming is fun. Though most students agree that chatbot programming is not easy to learn, more than 70% of respondents indicated that they will use or learn chatbots in the near future. The overwhelmingly positive responses are impressive given that this is the first time for the students to program and learn chatbots. Recommendations for Practitioners: In this article, we introduced a step by step project on teaching chatbot programming in an information systems class. Following the project instructions, students can get their first intelligent chatbots up and running in a few hours using Slack. This article describes the project in detail as well as students’ perceptions. Recommendations for Researchers: We used UTAUT model to measure students’ perception of the projects. This study could be of value to researchers studying students’ technology learning and adoption behaviors. Impact on Society: To our best knowledge, pedagogical resources that teach IS students how to program chatbots, especially the introductory level materials, are limited. We hope this teaching case could be of value for IS educators when introducing IS students to the wonderful field of chatbot programming. Future Research: For future work, we plan to expand the teaching resources to cover more advanced chatbot programming projects, such as on how to make chatbot more human-like.

Aim/Purpose: This research investigated the determinant factors influencing the adoption intentions of Chatsicum, a Knowledge-Based Chatbot (KBC) aimed at enhancing the species literacy of biodiversity students. Background: This research was conducted to bridge the gap between technology, education, and biodiversity conservation. Innovative solutions are needed to empower individuals with knowledge, particularly species knowledge, in preserving the natural world. Methodology: The study employed a quantitative approach using the Partial Least Square Structural Equation Modeling (PLS-SEM) and sampled 145 university students as respondents. The research model combined the Task-Technology Fit (TTF) framework with elements from the Diffusion of Innovation (DOI), including relative advantage, compatibility, complexity, and observability. Also, the model introduced perceived trust as an independent variable. The primary dependent variable under examination was the intention to use the KBC. Contribution: The findings of this research contribute to a deeper understanding of the critical factors affecting the adoption of the KBC in biodiversity education and outreach, as studies in this context are limited. This study provides valuable insights for developers, educators, and policymakers interested in promoting species literacy and leveraging innovative technologies by analyzing the interplay of TTF and DOI constructs alongside perceived trust. Ultimately, this research aims to foster more effective and accessible biodiversity education strategies. Findings: TTF influenced all DOI variables, such as relative advantage, compatibility, observability, and trust positively and complexity negatively. In conclusion, TTF strongly affected usage intention indirectly. However, relative advantage, complexity, and observability insignificantly influenced the intention to use. Meanwhile, compatibility and trust strongly affected the use intention. Recommendations for Practitioners: Developers should prioritize building and maintaining chatbots that are aligned with the tasks, needs, and goals of the target users, as well as establishing trust through the assurance of information accuracy. Educators could develop tailored educational interventions that resonate with the values and preferences of diverse learners and are aligned closely with students’ learning needs, preferences, and curriculum while ensuring seamless integration with the existing educational context. Conservation organizations and policymakers could also utilize the findings of this study to enhance their outreach strategies, as the KBC is intended for students and biodiversity laypeople. Recommendation for Researchers: Researchers should explore the nuances of relationships between TTF and DOI, as well as trust, and consider the potential influence of mediating and moderating variables to advance the field of technology adoption in educational contexts. Researchers could also explore why relative advantage, complexity, and observability did not significantly impact the usage intention and whether specific user segments or contextual factors influence these relationships. Impact on Society: This research has significant societal impacts by improving species literacy, advancing technology in education, and promoting conservation efforts. Species knowledge could raise awareness regarding biodiversity and the importance of conservation, thereby leading to more informed and responsible citizens. Future Research: Future works should address the challenges and opportunities presented by KBCs in the context of species literacy enhancement, for example, interventions or experiments to influence the non-significant factors. Furthermore, longitudinal studies should investigate whether user behavior evolves. Ultimately, examining the correlation between species literacy, specifically when augmented by chatbots, and tangible conservation practices is an imperative domain in the future. It may entail evaluating the extent to which enhanced knowledge leads to concrete measures promoting biodiversity preservation.

[Meg O’Neill] 00:08 Hello and welcome to the Berkeley Technology Law Journal podcast. My name is Meg O’Neill and I am one of the editors of the podcast. Today we are excited to share with you a conversation between Berkeley Law LLM student Franco Dellafiori, and Professor Bertrall Ross. Professor ...

The post Berkeley Technology Law Journal Podcast: Will ChatGPT Tell Me How to Vote? Democracy & AI with Professor Bertrall Ross appeared first on Berkeley Technology Law Journal.

Random Photo: Thank You, ChatGPT!

Around 40 mobile chatbot robots offering support in 25 different languages are being prepared for the IDEAS exhibition

A representational image shows an illustration of the WhatsApp logo. — Unsplash

WhatsApp is set to revamp its feature for muting notifications from group chats in an upcoming update, making it simpler for users to better understand how this feature works.

The Marketing Madmen discuss the best and worst use cases for ChatGPT and AI.

Washington – OSHA’s current rule on silica is based on obsolete analytical data, and exposure at the current permissible exposure limit results in “significant risks of death” from cancer and other diseases, the agency said during a Jan. 14 webchat that discussed proposed updates to the rule.

Each Zeal drink mix includes more than 56 whole food nutrients containing over 120 vitamins, minerals, and antioxidants - a natural source of clean energy that provides consistent, stable, long-lasting energy. 

Duchateau adds two colors, Aether and Solstice, to its Atelier engineered hardwood collection.

It has recently emerged that consumer habits amongst Gen Z are changing, with many now turning to social media for retail therapy. Weighing in on this growing phenomenon of social media shopping, Nick Drewe, founder of the online discount platform Wethrift, offers his insights:

The eruption of the Shiveluch volcano in Kamchatka has intensified. In the village of Ust-Kamchatsk, kindergartens and a school have been closed, sports and music classes have been cancelled. According to Oleg Bondarenko, the head of the Ust-Kamchatsk District, the amount of volcanic ash that fell in the village on the night of November 8 is insignificant as most of the ash cloud is moving towards the sea. However, it was decided to suspend the work of two kindergartens and three schools. Transport services in the settlement operate as usual. Click here to see more pictures and videos of the eruption.

[International] :
Microsoft-backed OpenAI's popular chatbot ChatGPT was restored after a brief connection failure that affected thousands of users worldwide on Friday. In a statement on its website, OpenAI said that issues with ChapGPT have now been resolved. It said most users regained access by 4:34 p.m. Pacific ...

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A friend is investigating the use of generative AI in his classes. I asked two different popular chatbots to write MATLAB programs for a mathematically nontrivial problem. Both chatbots understood my query and both wrote plausible MATLAB programs, but one of the programs was not correct. My recommendation for coursework: carefully read and test programs produced by generative AI and repair any incorrect ones.... read more >>