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Companies seeking to cut costs by using free, open-source alternatives to OpenAI's AI technology are finding that it can be more expensive. An example is Cypher, whose use of an open-source model led to a $1,200 bill, while using OpenAI's GPT-3.5 Turbo cost only $5 per month for the same workload.

Microsoft's use of automation and artificial intelligence (AI) to curate news on its homepage has resulted in the amplification of false and bizarre stories. The company's reliance on AI has raised concerns about the responsible use of the technology and its impact on the journalism industry.

Microsoft's use of automation and artificial intelligence (AI) to curate news on its homepage has resulted in the amplification of false and bizarre stories. The company's reliance on AI has raised concerns about the responsible use of the technology and its impact on the journalism industry.

Microsoft has added a multimodal capability to its small language model, Phi 1.5, allowing it to interpret images. This breakthrough shows that less expensive AI technology can have similar features to larger models like OpenAI's GPT-4. The smaller models are more cost-effective and can help democratize access to AI technology.

The Biden-Harris administration has issued an executive order on artificial intelligence, addressing AI benefits and risks. It covers licensing, liability, registration, reporting, defending attack surfaces, transparency, antitrust enforcement, and incentives for AI development. The EO is seen as good news for openness in AI, but its impact will depend on implementation.

OpenAI's recent update to its AI chatbot, ChatGPT, allowing subscribers to upload PDFs for summarization, has raised concerns among startups that have built products using OpenAI's system to process PDFs. This move has the potential to disrupt and potentially wipe out these businesses, highlighting the power dynamics in the AI industry.

The Biden administration released an executive order outlining safety and security requirements for the use of AI technology. The order could impact AI-focused startups, including the need for red-team testing, standards for biological synthesis screening, labeling AI-generated content, support for AI-enabled educational tools, and streamlining visa criteria for skilled immigrants.

Yann LeCun, chief AI scientist at Meta, criticizes AI leaders Sam Altman, Demis Hassabis, and Dario Amodei for attempting to control the AI industry through regulatory capture. LeCun warns that if these efforts succeed, a small number of companies will control AI, posing a threat to democracy and cultural diversity.

The article discusses the concept of computational thinking and the development of computational language. It explores the potential of AI and automation, the challenges of predicting complex systems, and the importance of human input in defining goals and directions in the computational realm.

President Joe Biden is set to issue an executive order that will involve federal agencies in monitoring the risks and uses of artificial intelligence (AI). The order aims to expand the use of AI in various sectors while also implementing checks to ensure data privacy, cybersecurity, and fairness. It will also address issues related to competition, privacy, immigration, microchip manufacturing, telecoms, education, housing, copyright, and labor. The order grants federal agencies influence in the US market through their buying power and enforcement tools.

Tech companies are engaging in unrestrained AI development, risking humanity's future, according to Max Tegmark, an AI researcher. He called for a pause in building powerful systems and the implementation of AI safety standards. The paper by 23 AI experts argues for licensing and halting development of exceptionally powerful AI models.

The article discusses the limitations of large language and language-and-vision models in comparison to human capabilities in tasks such as tool innovation and causal inference. While the models can imitate and recognize patterns, they struggle with abstract reasoning and innovation. Understanding these differences can provide insights into natural intelligence and AI.

Microsoft plans to spend $3.2 billion in Australia over two years to expand its AI and cloud computing capabilities. The investment includes increasing computing capacity, supporting skills training, and enhancing cyber threat information-sharing. The move comes as Australia considers AI regulation.

Microsoft's AI growth outperformed Google in the September-quarter results, with Azure's cloud unit experiencing accelerated growth due to increased consumption of AI-related services. In contrast, Google Cloud's growth slowed, possibly due to customers reducing spending. Microsoft's partnership with OpenAI has given them an edge in the AI market. For more details, see the article here [https://www.theinformation.com/articles/the-briefing].

The article discusses the impact of AI on CEOs and their businesses. It highlights the need for CEOs to set realistic expectations, manage resources effectively, and align their AI strategy with their current capabilities. It also emphasizes the importance of understanding the new economic landscape, reassessing risks, and making strategic investments for long-term success.

The document discusses various metrics for evaluating machine unlearning techniques, including change in accuracy, time cost, degree of removal, other effects on the model, and data privacy-related metrics. It also highlights the need for better metrics in interpretability and model control.

Business schools are incorporating AI education into their curriculum to prepare future leaders. A survey found that 74% of business schools teach AI subject matter. However, teaching AI poses challenges due to its evolving nature. The article highlights specific AI-related programs at Wharton School of Business and Kellogg School of Management. The use of AI in various industries is discussed, along with the potential impact on future work activities. The article also mentions the need to approach AI ethically and consider its limitations. Overall, business schools have the potential to shape the future trajectory of AI.

OpenAI's text-to-image model, DALL-E, has gained significant attention and popularity. It has been followed by other similar models, and the technology has sparked creativity and controversy. While the models have limitations, they are seen as a step towards artificial general intelligence and have the potential to revolutionize creative industries.

A peer-reviewed analysis estimates that by 2027, AI servers could consume between 85 to 134 terawatt hours of electricity annually, which could contribute to carbon emissions. California has passed climate disclosure laws requiring companies to disclose their carbon emissions and climate-related financial risks.

Southeast Asian countries are taking a business-friendly approach to AI regulation, in contrast to the EU's push for globally harmonized rules. The Association of Southeast Asian Nations (ASEAN) is circulating a draft "guide to AI ethics and governance" to technology companies for feedback. The guide is voluntary and emphasizes cultural differences and innovation. ASEAN's approach differs from the EU's AI Act, and individual countries will determine their own policies. The EU aims to establish a global standard for AI governance, but other Asian nations have also expressed relaxed approaches to AI regulation.

The article discusses the evolution of Moore's Law into "Moore's Precept," the role of GPUs in computing, export controls on advanced AI chips to China, and the importance of EUV lithography in semiconductor development.

Amazon is rolling out its updated Sequoia robotics system at fulfillment centers to boost delivery speed by 25%. These robots are designed to work alongside humans, not replace them. Amazon highlights its commitment to human workers despite testing robots like Digit. The new system also improves safety by relocating containers to ergonomic workstations.

OpenAI is discontinuing its Arrakis project, which aimed to create a smaller chatbot model. The reasons could include concerns about quality, training costs, or a shift in focus. This might affect OpenAI's product adoption, and recent research raised trust issues with GPT-3.5 and GPT-4 models. Despite strong revenue, OpenAI may need to consider alternative strategies.

A breakthrough called "Ring Attention" eliminates memory constraints in AI models, enabling them to process millions of words or even videos within a single context window. Traditional models were limited by memory bottlenecks in GPUs, restricting their ability to analyze data. "Ring Attention" was co-authored by a Google researcher, promising to revolutionize AI capabilities, making them more efficient in processing extensive data. This could significantly impact the AI field and expand the potential of AI models.

AI audits are essential in legal tech to ensure fairness, accountability, and compliance. They assess AI systems' transparency, accuracy, and impact on legal decisions. Audits can be conducted before and after deployment, in response to incidents, or regulatory requirements, ensuring responsible AI use in the legal sector.

Meta is emphasizing Llama, its large language model, as an open-source alternative to competitors like Microsoft's GPT and Google's Bard AI. While this approach is unconventional and challenging to value, Meta hopes to attract talent and cut capital expenditures. However, some criticize its licensing agreement and Llama's performance.

Legal tech embraces generative AI, with companies like Deloitte, EY, LexisNexis, and more integrating it into their services, from contract review to research.

Stack Overflow is laying off 28% of its staff as it struggles to achieve profitability. This decision comes after doubling its employee base to over 500 people in response to the generative AI boom in the tech industry. The layoffs are part of a reevaluation of the company's go-to-market strategy and other support teams.

The Equal Employment Opportunity Commission (EEOC) saw a 77% spike in disability discrimination lawsuits in the past fiscal year. Disability cases were the most prevalent, and with the complexity of the Americans with Disabilities Act, experts suggest that employers need to be cautious and well-informed. The EEOC's focus on disability discrimination is expected to continue, along with an emphasis on issues like racial justice and pay equity.

Legal tech embraces generative AI, with companies like Deloitte, EY, LexisNexis, and more integrating it into their services, from contract review to research.

According to a forecast by IDC, spending on GenAI solutions is expected to reach $143 billion in 2027, with a compound annual growth rate of 73.3% over the 2023-2027 period. GenAI spending will account for 28.1% of overall AI spending and become a foundational element in enterprises' digital business control platforms.

The first supernova has been detected, confirmed, classified, and shared by AI.

BTSbot, an AI tool, automates supernova detection and classification, eliminating human intervention. Developed by an international team led by Northwestern University, it accelerates the analysis of supernova candidates.

OpenAI's yearly revenue has grown from $28 million to $1.3 billion, marking a significant financial ascent for the company. Source: venturebeat.com [http://venturebeat.com/]

Hollywood actors are on strike over AI and have endorsed the 'NO FAKES ACT'. The article discusses OpenAI's financial success, with a revenue increase from $28 million to $1.3 billion annually.

Researchers found that safety measures for large language models like OpenAI's GPT-3.5 Turbo can be bypassed with fine-tuning, posing AI safety concerns and challenging the assumption that commercial chatbots are inherently safer. Improved mitigation and legal considerations are needed.

OpenAI's yearly revenue has grown from $28 million to $1.3 billion, marking a significant financial ascent for the company. Source: venturebeat.com [http://venturebeat.com/]

Microsoft is offering a $15,000 reward to anyone who can make their Bing AI system malfunction. The goal is to identify vulnerabilities and improve the system's performance.

This study compares the ethical advice given by a human expert with AI-generated advice using the GPT-4 model. The findings show no significant difference in the perceived value of the advice between the two sources, with random subjects slightly preferring the AI-generated advice.

This study compares the ethical advice given by a human expert with AI-generated advice using the GPT-4 model. The findings show no significant difference in the perceived value of the advice between the two sources, with random subjects slightly preferring the AI-generated advice.

Advanced AI models, such as ChatGPT and others, have notable flaws but already demonstrate essential features of Artificial General Intelligence (AGI). These "frontier models" can handle various tasks, languages, data modalities, and learn in-context. Reluctance to acknowledge AGI often stems from skepticism about metrics, alternative AI theories, human exceptionalism, and economic implications.

Clio's 2023 Legal Trends Report reveals clients are more optimistic about AI's impact on legal services than professionals. AI's potential to improve efficiency is recognized, with 51% of lawyers planning to use it. Jack Newton, Clio CEO, emphasizes that AI won't replace lawyers but enhance their work. The report indicates increased productivity and growth in the legal industry. Clio also introduced new AI products.

Meta's unique approach to developing AI puzzles Wall Street, while techies appreciate it.

Microsoft's AI-generated images, including Mickey Mouse involved in sensitive scenarios, raise copyright and ethical concerns. Disney has not commented on this issue, potentially leading to a significant copyright battle.

Walmart is testing generative AI features for shoppers, including a shopping assistant, AI-powered search, and an interior design tool. The shopping assistant offers personalized product suggestions, while the AI search tool understands context to generate relevant lists of items. The interior design assistant combines generative AI and AR technology to help users decorate rooms. These features are part of a broader trend in which companies are incorporating generative AI into their products and services.

The article discusses the need for new safety measures in AI systems due to the lack of effective "guardrails" to prevent harmful consequences. It emphasizes the importance of pausing and reflecting on the risks and potential solutions in AI development.

Creative industry members raise concerns about generative AI's impact, citing copyright infringement, competition with AI-generated works, and the need for legal protection, informed consent, and compensation. They seek regulatory intervention, including explicit opt-in requirements for AI developers.

Law firms at the Legal Geek conference in London discussed the need to communicate GenAI strategies to clients, as clients seek clarity on how the technology is being used. GenAI adoption is essential for law firms to stay competitive. GenAI technology has the potential to reduce reliance on the billable hour, with many firms incorporating the technology into their operations.

The article discusses the potential impact of ChatGPT on programming education. It mentions a survey conducted by Programiz and provides a URL for more information. The article also mentions that it is not in the top 10.

Phone users receive an average of 14 spam calls monthly, driven by AI. Top scams include Amazon impersonation, insurance and Medicare fraud, credit card deceptions, cryptocurrency hoaxes, appeals from fraudulent loved ones, and peer-to-peer payment app scams. The U.K. has the highest spam call rate, followed by the U.S. and Canada. The study analyzed 98 billion calls from January to June 2023 using Hiya's Voice Security Network data.

Suumit Shah, CEO of Dukaan, replaced his customer service team with an AI chatbot and is roasting the former human workers for their inefficiency and cost. Such approaches might lead to significant job loss in call centers, impacting regions like India and the Philippines. Some see this as a boost to productivity, but it also raises concerns about the future of human employment.

Phone users receive an average of 14 spam calls monthly, driven by AI. Top scams include Amazon impersonation, insurance and Medicare fraud, credit card deceptions, cryptocurrency hoaxes, appeals from fraudulent loved ones, and peer-to-peer payment app scams. The U.K. has the highest spam call rate, followed by the U.S. and Canada. The study analyzed 98 billion calls from January to June 2023 using Hiya's Voice Security Network data.

Microsoft's Copilot, an AI assistant for Windows, falls short of the high expectations set by marketing. It's more like a storytelling engine with inaccuracies and limitations, although it has creative potential. Microsoft's decision to include it on every Windows 11 PC's taskbar may raise concerns.

AI watermarking is found to be unreliable, easy to evade, and may not be an effective solution for identifying AI-generated content. Tech companies are exploring watermarking, but the study underscores significant limitations in this approach.

Canada aims to lead in AI regulations, with a voluntary code of conduct for AI companies to build trust while legislation develops. Critics voice concerns over protecting rights and call for public consultation. Minister addresses issues and emphasizes international alignment.

Legal departments face growing workloads but limited budgets. They see technology as a solution, but only 32% report increased budgets for legal tech. Advocacy for investment in legal operations is essential to achieve efficiency and cost savings. Legal leaders must recognize the value of proper resourcing for operational programs. AI can help streamline processes and reduce legal review, allowing resources to focus on high-impact strategic initiatives.

Stack Overflow has laid off more than 100 employees amid the ongoing boom in AI coding.

Google DeepMind's AI model, AlphaMissense, claims to predict 89% of missense mutations as "likely benign or likely pathogenic." The technology aims to aid clinical researchers in disease diagnosis and treatment development, but experts have varying opinions on its complexity and utility.

Amazon is unveiling an updated Alexa powered by a large language model (LLM) for more conversational and capable interactions. The rollout begins with a US preview program and might entail charges for advanced features later. Developers can also harness Alexa's cognitive functions, while dynamic and action controllers enhance interaction with third-party devices.

The article provides guidance for Chief Data Officers (CDOs) on using data to fuel generative AI. It emphasizes the importance of focusing on value, building specific capabilities in the data architecture, ensuring data quality, protecting sensitive data, developing data engineering talent, and tracking progress and metrics.

This document is a webpage with a title and a URL. It mentions a top 10 list but does not provide any further information or content.

Pras Michel claims a lawyer used an AI program to draft a closing argument in a conspiracy case. The article discusses the use of AI in the legal system and its potential impact on poor people.

In 2023, AI's rapid growth, driven by a few key players, has surprised many. Numerous narratives about the AI landscape—like the plateauing of foundation models, open-source dominance, and the belief that only incumbents will succeed—are uncertain. The AI industry remains complex and full of potential.

Cloud providers are considering nuclear power as a sustainable energy source for data centers due to the increasing energy demands of AI. This article provides more information on this topic. (27 words)

Google DeepMind's AI has the ability to identify disease-causing genetic mutations. This breakthrough could have significant implications for medical research and treatment. Source: URL [https://www.stateof.ai/?utm_source=alphasignalai.beehiiv.com&utm_medium=newsletter&utm_campaign=gpt-4-s-new-rival-baidu-reveals-ernie-4]

The article discusses the concept of the wait equation, which evaluates whether it's better to launch a project immediately or wait for advancements. It applies this concept to investment in fast-changing fields like AI, considering the difference between project completion time and the cost of waiting.

This article introduces the course "Generative AI for Everyone" instructed by Andrew Ng. It covers the basics of generative AI, its applications, and its impact on business and society. The course aims to empower learners with the knowledge and skills to use generative AI effectively in their work and daily lives.