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OpenAI is set to unveil its latest artificial intelligence model, Strawberry, in the coming two weeks, according to reports from Seeking Alpha and The Information, cited by PYMNTS. The new model is designed to demonstrate advanced reasoning capabilities and improve its ability to comprehend and process complex information. OpenAI's efforts to push the boundaries of AI capabilities aim to revolutionize various sectors, including supply chain management, market forecasting, and customer experience personalization. With more than 1 million paying business users utilizing OpenAI's products, the company is reportedly seeking to raise "several billion dollars" in funding to maintain its position at the forefront of AI innovation.

AMD CEO Dr. Lisa Su announced at the Goldman Sachs Communacopia & Technology Conference that her company is embarking on an AI "supercycle," introducing a series of high-powered AI chips. AMD will launch the MI325 AI chip later this year, followed by the MI350 in 2025 and the MI400 in 2026, challenging rival Nvidia's dominance in the AI chip market. These new chips come after the successful release of the MI300x last year, and Su expects AMD to generate $4.5 billion in sales from this chip alone in 2024. This marks a significant growth from the $100 million in AI-related chip revenue the company earned last year. With the AI market proving to be a lucrative one, AMD is making substantial investments for the next five years.

Google has recently introduced a new feature for its Gemini AI chatbot called Gems, which allows users to create custom chatbots for specific purposes. With Gems, users can have individual chatbots tailored to different tasks, such as learning a language, seeking travel advice, or getting career guidance. However, users need to have an Advanced, Business, or Enterprise plan to access and use Gems. To create and customize their own Gems, users can use the Gemini interface on the web. The process involves giving the new Gem a name and specific instructions, as well as testing its responses to ensure it meets their needs. While Gems offer a more focused approach to using AI for tasks, they are currently only available to certain Gemini users.

MIT researchers have introduced GenSQL, a generative AI system for databases that simplifies the analysis of complex tabular data. This new tool enables users to perform statistical analyses, prediction, anomaly detection, and data generation with just a few keystrokes, without the need to understand the underlying mechanisms. GenSQL integrates a tabular dataset with a generative probabilistic AI model to account for uncertainty and adapt decision-making based on new data. Compared to popular AI-based approaches for data analysis, GenSQL is not only faster but also produces more accurate results. The system's goal is to enable a large set of users to query their data and models without needing intricate technical knowledge. The research was recently presented at the ACM Conference on Programming Language Design and Implementation and is funded by organizations like DARPA and Google. The researchers plan to further develop GenSQL to conduct large-scale modeling of human populations and eventually enable natural language queries.

Artificial intelligence web crawlers are causing a stir as they disregard internet protocol and continue to scrape data despite hidden stop signs intended for bots. Since the mid-'90s, websites have utilized a hidden robots.txt file to specify what parts of their content should not be scanned, forming a social contract respected by tech giants. Recently, AI companies have disregarded these guidelines, prompting concern about the erosion of the open-web order and the potential for the internet to become more restricted and less accessible. This has raised questions about who benefits from the rich data harvested by AI tools and is fueling growing discontent among creators and website publishers. As the AI industry pushes norms in pursuit of more data, it is becoming richer while content providers receive little in return, leading to increased difficulty in accessing certain areas of the internet for everyone.

In a surprising turn of events, Google researchers have published a paper warning about the detrimental impact of generative AI on the internet. This revelation is especially ironic as Google itself has been a major advocate for advancing this technology. The study reveals that the majority of generative AI users are leveraging the technology to disseminate fake or manipulated content, blurring the lines between truth and deceit. This misuse has far-reaching consequences, leading to public deception, fraudulent activities, and a distortion of socio-political reality. The researchers also express concerns about the increasing sophistication and accessibility of generative AI systems, exacerbating the proliferation of fake content. As companies like Google continue to integrate AI into their products, this issue is likely to persist and intensify, raising serious questions about the authenticity and reliability of digital information.

China has emerged as the leader in generative AI patents, surpassing other countries by a significant margin, according to the World Intellectual Property Organization. The U.S. is a distant second in this regard. In the past decade, China has accounted for over 38,200 generative AI inventions, six times more than the nearly 6,300 from the United States. The explosive growth of generative AI is evident as more than a quarter of these inventions emerged in the last year. While this technology has the potential to enhance efficiency and drive scientific discoveries, concerns about its impact on jobs and fair compensation for content creators have been raised. The report also highlights the evolving landscape of AI technologies, and while China leads in generative AI patents, the U.S. is at the forefront in developing cutting-edge AI systems and models.

The software engineering landscape is experiencing a transformation as large language models (LLMs) evolve into AI agents that can design, implement, and correct entire software modules, thereby enhancing the productivity of software engineers. LLMs are being integrated as coding assistants through chatbot interfaces like ChatGPT and Claude, and as plugins in integrated development environments (IDE) such as GitHub Copilot and Amazon’s coding assistant Q. Moreover, AI agents are being harnessed in agentic frameworks to complete software development projects end-to-end, although concerns linger about the safety and efficacy of AI-generated code. While AI is unlikely to replace software developers entirely, the value of LLMs in software development is clear, driving increased demand for software developers as AI tools mature.

The dream of having artificial intelligence and robots take care of household chores still seems out of reach, despite the popular sentiment and frustration expressed on social media. While AI and robotics have shown remarkable advancements in language processing and image synthesis, the integration of this technology into household chores remains a formidable challenge due to technical, philosophical, and ethical considerations. The distinction between AI and robotics is crucial, as robotics requires physical hardware to interact with the environment, making it more complex to develop. Although there have been attempts to create household robots capable of chores such as laundry and dishwashing, they have faced significant limitations and have struggled to become practical for everyday use. Despite ongoing research and development efforts by various companies and institutions, the widespread use of robots to perform household chores is still a distant goal.

Nvidia's dominance in the AI chip market, controlling 80% of the market, has raised questions about potential competitors. While some analysts suggest that there is no apparent threat to Nvidia at the moment, others see opportunities for smaller AI chip startups to target specific segments of the market, particularly in the area of specialized needs for AI companies. Despite competition from companies like AMD and Intel, Nvidia's established user base and software ecosystem make it difficult for rivals to displace its position. Nvidia's impending release of the Blackwell system and its strong software platform further indicate its determination to maintain its lead in the industry. However, potential challenges such as antitrust investigations and the need to address power consumption concerns could provide openings for competitors to gain traction. The article emphasizes the potential for a healthy ecosystem of chipmakers and software creators to thrive in the expanding AI market, pointing to a space for many players to coexist alongside Nvidia.

MIT robotics pioneer Rodney Brooks believes that people are overestimating generative AI capabilities. He warns that the current hype surrounding generative AI, particularly large language models (LLMs), is leading to an over-optimistic view of their competence. Rodney Brooks, the Panasonic Professor of Robotics Emeritus at MIT and the co-founder of companies like Rethink Robotics and iRobot, argues that while generative AI technology is impressive, it cannot perform tasks in the same way humans can. He suggests that people tend to assign human-like capabilities to generative AI, leading to unrealistic expectations. Brooks also emphasizes the importance of applying AI technology in environments where robots and humans can work together seamlessly. He highlights the need to integrate robots into practical applications, such as warehouse operations, rather than building human-like robots. Brooks also cautions against assuming exponential growth in AI technology, citing the example of the iPod's storage size growth trajectory. He also mentions the potential role of LLMs in assisting with specific tasks in domestic robotics, especially in eldercare scenarios. Overall, Brooks believes in making AI technology accessible and purpose-built, and he stresses the significance of identifying practical use cases for AI to achieve a tangible return on investment.

Solos has unveiled the world's first smart glasses equipped with GPT-4o, featuring generative artificial intelligence capable of analyzing visual input. The AirGo Vision smart glasses utilize AI to provide real-time information based on what the wearer sees, offering services such as recognizing people, objects, and landmarks, providing directions, and checking prices. Wearers can also capture hands-free photos to request information. The glasses feature swappable frames, with options for a front camera or no camera, and a built-in LED notification light for discreet alerts. The AirGo Vision will be available later this year, with LED-only frames set for release in July at a price of $249.99.

Amazon has made a significant move in the AI sector by hiring key staff from the AI startup Adept. Adept, known for its AI-powered "agents" designed to carry out various software-based tasks, has entered into a licensing agreement with Amazon, with the startup's co-founders and a portion of its team joining the tech giant. Adept's co-founder and CEO, David Luan, along with other co-founders and employees, will be working with Amazon to bolster its generative AI ambitions. This acquisition provides a new direction for Adept as it hands over its AI technology, including its agentic data and web interaction software, to Amazon, while also appointing a new CEO to refocus efforts on "solutions that enable agentic AI". This move comes at a crucial time for Adept, as the startup has faced challenges in bringing its products to market despite significant funding. The deal not only breathes new life into Adept but also strengthens Amazon's position in the AI market as it seeks to build digital agents that can automate software workflows.

OpenAI's chief technology officer, Mira Murati, has raised alarm about the potential for artificial intelligence to displace jobs in the creative industry. Murati suggests that some creative jobs "maybe will go away," questioning whether they "shouldn't have been there in the first place." The use of AI programs like ChatGPT and DALL-E in graphic design and Hollywood has already led to job loss and worker strikes. Murati acknowledges the technology's potential to enhance creativity but predicts job displacement, without specifying the extent. Other executives, including OpenAI CEO Sam Altman and online learning platform Coursera's CEO Jeff Maggioncalda, have also warned of the impact of AI on the job market, emphasizing the necessity for reskilling and adaptation.

Emergence, a new generative AI venture, has emerged from stealth with $97.2 million in funding and credit lines totaling over $100 million. Co-founded by Satya Nitta, Emergence aims to build an "agent-based" system that can handle tasks typically managed by knowledge workers. The company plans to use first- and third-party generative AI models to automate tasks such as filling out forms, searching for products, and navigating streaming services. Emergence has introduced an open-sourced orchestrator agent, which functions as an automatic model switcher for workflow automations. The company also intends to monetize the orchestrator with a premium version in the near future. Moreover, Emergence has formed strategic partnerships with Samsung and touch display company Newline Interactive to integrate its technology into future products. Despite the buzz surrounding AI agents, the differentiation of Emergence remains unclear, but the company is confident in its ability to solve fundamental AI infrastructure problems and deliver a clear and immediate ROI for enterprises. However, skepticism surrounds the ability of Emergence to outperform other players in the generative AI space.

The Economist has reported on concerns that artificial intelligence may be making big tech companies too big. The emergence of OpenAI's ChatGPT caught the attention of the business world, but now big tech companies like Nvidia and Microsoft are vying to become the world's most valuable company by investing in AI. This has raised concerns among regulatory authorities, with both firms facing increased scrutiny by antitrust agencies. The speed at which these agencies are operating is notable, given the historically labyrinthine nature of such investigations. This development raises questions about the power and reach of big tech companies in the realm of artificial intelligence and technology.

AI automation in the workplace is on the verge of a significant turning point, as revealed by a survey of CFOs conducted by Duke University’s Fuqua School of Business and the Federal Reserve Banks of Richmond and Atlanta. The survey indicates a sharp increase in plans to implement AI over the next year. While companies have been automating tasks for decades, the survey showed that 60% of companies intend to use AI tools to automate tasks performed by employees in the next 12 months. This figure represents a noticeable shift from the prior year, with a significant surge in the adoption of AI across companies of all sizes. Large corporations, in particular, are spearheading this transition, with 76% of them planning to incorporate AI for automation in the coming year. Despite concerns about AI replacing human jobs in the long run, LinkedIn cofounder Reid Hoffman foresees a future where humans work alongside AI as "agent copilots." Venture capitalist Kai-Fu Lee predicts that AI will substitute 50% of human jobs in the next decade. These developments signal a growing need for AI skills in the workplace and a transformation of traditional job roles.

Apple has announced that it will be delaying the launch of three new artificial intelligence features in Europe due to European Union competition rules. The features, which include Phone Mirroring, SharePlay Screen Sharing enhancements, and Apple Intelligence, will not be available to EU users until 2025, despite being released in the US this fall. Apple cited concerns about the interoperability requirements of the EU's Digital Markets Act, stating that it could compromise the integrity of its products and risk user privacy and data security. The company emphasized its commitment to collaborating with the European Commission to find a solution that would enable the features to be delivered to EU customers without compromising their safety.

Apple is facing a new hurdle in China as its latest AI feature, ChatGPT, has been banned in the country. The technology was intended to be integrated into Siri and its potential unavailability in China could pose a significant setback in the Chinese market, where Apple has been striving to boost iPhone sales. The ban is part of China's efforts to regulate generative AI technology, and as a result, Apple is now urgently seeking a Chinese AI partner in order to proceed with its planned September iPhone launch. Additionally, the company is also encountering regulatory challenges in the European Union, further complicating the global rollout of its AI features. If these issues are not resolved, Apple may face declining sales and intensified competition from local smartphone brands.

In a recent development, Amazon is considering a monthly fee of around $5 to $10 for its Alexa service, which has been unprofitable since its inception a decade ago, as reported by Reuters. The company plans major revamping, internally known as "Banyan," featuring a conversational generative AI with two tiers of service. This marks the first significant overhaul of the voice assistant since its launch in 2014. The new version, dubbed "Remarkable Alexa," aims to catch up with competitors in generative AI. With CEO Andy Jassy expressing personal interest in the project, the company aims to reinvigorate Alexa by August, making 2024 a "must win" year for the service. The revamped version is expected to offer more intricate tasks and personalized responses, but the success of the proposed pricing and revamped service remains uncertain.