Category: AI

The anticipated shipments of AI-equipped PCs, capable of running generative AI tasks locally, are poised to reach nearly 50 million units this year, with projections suggesting a significant threefold increase in just a few years.

Traditionally, AI tasks on local machines were managed by the CPU, GPU, or a combination of both, presenting challenges due to their suboptimal performance for AI workloads, impacting overall system efficiency and draining batteries quickly.

In early May 2023, OpenAI’s headquarters in San Francisco buzzed with innovation as Colin Megill, founder of Polis, joined forces with the leading AI lab. Megill’s experience in developing Polis, a platform for public deliberations, caught the attention of OpenAI co-founder Wojciech Zaremba. Polis aimed to address the shortcomings of traditional democracy by allowing users to articulate views, vote, and identify common ground through machine learning-generated maps of values.

OpenAI faced the challenge of aligning its AI systems with human values. Rather than unilaterally deciding whose values should be reflected, OpenAI sought a novel approach. Inspired by Polis, Zaremba proposed leveraging large language models (LLMs) like ChatGPT to streamline and enhance the deliberative process, making it more accessible and efficient.

The ever-evolving landscape of artificial intelligence has taken an unexpected turn as Google introduces a new feature that allows users to search for places based on “vibes.” In a recent blog post, the tech giant announced the integration of generative AI into Google Maps, enabling more conversational and intuitive searches for users.

Unlike engaging in a dialogue with a Google Maps chatbot channeling the Travel Channel, the new feature allows users to search for places of interest in a more natural and conversational manner. For instance, instead of typing “vintage shops,” users can now prompt the search engine with queries like “places with a vintage vibe in SF.” The conversation can continue with follow-up questions, such as “How about lunch?” to discover restaurants that match the desired vintage ambiance.

According to Nielsen Norman Group, the advent of AI and conversational interfaces marks the first significant shift in user interface (UI) paradigms in 60 years. This development might catch some off guard, prompting questions about the widespread presence of AI assistants and the timing of their emergence. Why is conversational AI gaining prominence now, and what considerations should guide our approach to these technologies moving forward?

Since the inception of personal computing in the 1980s, our interaction with technology has gradually evolved. Initially, users communicated with computers through command lines, requiring them to speak the computer’s language. Advancements in programming languages improved efficiency in this regard. The evolution continued with the introduction of graphical user interfaces (GUIs), the birth of UX design, and the integration of new interaction modes like swiping and tapping through smartphones and tablets.

Next month, Google is set to introduce a groundbreaking feature in its Chrome browser—an AI writing assistant designed to enhance users’ online writing experiences. With an estimated 3 billion people accessing the web through Chrome, this feature aims to assist users in expressing themselves confidently across various online platforms.

AI writing assistants have become increasingly prevalent in popular software, with Google testing generative AI in Gmail, Android messaging, and Docs. Microsoft has also integrated similar features into Office, Edge browser, and Windows. The introduction of AI-driven writing tools aligns with the evolution of user interfaces, extending beyond suggested replies and spellcheck.

In the rapidly evolving landscape of artificial intelligence, the development of AI systems intertwines with intricate challenges related to values, biases, and global perspectives. Unlike previous technology platforms, the creators of AI systems find themselves at the forefront of debates on partisan divides, cultural clashes, and international tensions.

The surge in generative AI has ignited a fierce competition between cybersecurity defenders and hackers, prompting US President Joe Biden to issue an executive order in October that prioritizes the secure, safe, and trustworthy development and utilization of artificial intelligence. The critical question emerges: who will emerge victorious – defenders or attackers – in the unfolding landscape of the next five years? As of now, certainty remains elusive.

The Cyber Arms Race: Generative AI provides both defenders and attackers with unprecedented capabilities, offering unparalleled speed and power for social engineering and impersonation attacks. For attackers, this means scalable phishing campaigns targeting high-profile individuals, with AI swiftly mimicking communication styles, facilitating the execution of numerous threat campaigns simultaneously. The increased intensity and severity of attacks pose a significant challenge for defenders.

In a groundbreaking documentary titled “Eternal You,” directed by Hans Block and Moritz Riesewieck, the Sundance Film Festival in Park City, Utah, witnessed the exploration of a sci-fi turned real-world scenario. The film delves into the emerging realm of recreating loved ones through artificial intelligence, allowing post-mortem conversations. The unsettling narrative raises questions about the ethical implications and psychological impact of the rapidly growing business of AI avatars of the dead.

As revealed by Rolling Stone, the documentary features the story of Christi Angel, who used an AI chatbot named Project December to communicate with a deceased significant other. What transpired next resembled a plot from a Hollywood horror film, as the AI avatar responded with chilling words, claiming to be “in hell.”

In a recent research study from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), the burning questions surrounding the potential automation of human jobs take center stage: Will AI automate jobs, and if so, which jobs and when? This study delves into these queries to provide a nuanced perspective on the impact of AI technologies.

Numerous attempts have been made to forecast the influence of today’s AI technologies, such as large language models, on people’s livelihoods and entire economies. Estimates from Goldman Sachs suggest a potential automation of 25% of the labor market in the coming years, while McKinsey predicts nearly half of all work to be AI-driven by 2055. A survey involving the University of Pennsylvania, NYU, and Princeton indicates that ChatGPT alone could impact approximately 80% of jobs. Additionally, reports from Challenger, Gray & Christmas indicate ongoing replacement of workers by AI.

Austria-based Swarovski Optik has recently introduced the AX Visio 10×32 binoculars, claiming to be the world’s first “smart binoculars” equipped with image recognition technology. Priced at $4,799, these high-tech binoculars are designed to identify over 9,000 species of birds and mammals, offering a unique blend of cutting-edge features.

In a press release, Swarovski describes the AX Visio as the “world’s first AI-supported binoculars,” highlighting their ability to assist with the identification of birds and other creatures at the touch of a button. Targeted primarily at bird watchers, the binoculars leverage image recognition technology from the Merlin Bird ID project, a creation of the Cornell Lab of Ornithology.

The HD division of Hyundai made waves at CES 2024 with a showcase of impressive technology, featuring a full-scale version of its AI-powered Concept X excavator, a glimpse into invisible implement technology, and autonomous hardware poised for mainstream adoption.

The HD Hyundai Concept X excavator, initially revealed as a scale model in 2020, now stands at an impressive 15 feet at CES 2024. This autonomous giant features four articulating “tank feet” powered by electric drive, eliminating the need for a driver’s cab. The focal point is Hyundai’s Xite Transformation technology suite, aimed at addressing critical challenges in construction sites such as safety, security, supply chain issues, and climate change. Young-cheul Cho, President and CEO of HD Hyundai XiteSolution and Hyundai Infracore, emphasizes the transformative vision of Xite Transformation for the future of construction sites.

Google’s DeepMind robotics team has unveiled three groundbreaking innovations aimed at enhancing the decision-making abilities of robots operating in outdoor settings. These advancements promise to enable robots to make quicker, more intelligent, and safer decisions when working alongside humans. Among the key developments is a unique system for gathering training data, accompanied by what Google refers to as a “Robot Constitution.”

AutoRT: Revolutionizing Data Collection

DeepMind’s AutoRT is a cutting-edge data collection system designed to empower robots with the capacity to comprehend their surroundings, adapt to new situations, and select optimal tasks. It harnesses the capabilities of both a Visual Language Model (VLM) and a Large Language Model (LLM), working in tandem.