Artificial intelligence (AI) has become a prominent tool in the media industry, generating content and assisting with tasks such as writing travel guides and explanatory articles. However, some tech outlets are taking a different approach, using generative AI to provide readers with quick and accurate answers to tech-related questions. On August 1st, Macworld, PCWorld, Tech Advisor, and TechHive introduced an AI chatbot called Smart Answers, aimed at helping readers find specific information within their vast archives of tech content.

Developed by media and marketing company Foundry, Smart Answers is not designed to replace human authors but to enhance the reader experience. This AI chatbot, trained exclusively on English-language articles from the four tech websites, offers responses based on the content published by expert writers. Readers can enter questions or select from an FAQ list generated by AI, with responses including relevant article links.

Bellevue-based startup Irreverent Labs, a player in the surging field of generative artificial intelligence, has successfully secured a new round of funding led by Samsung Next, with undisclosed financial details due to Samsung’s corporate policy. This latest investment will support Irreverent Labs in expanding its AI-driven video creation platform, enabling users to effortlessly produce engaging short-form videos.

Irreverent Labs, established in 2021, previously attracted $45 million in funding, primarily from Andreessen Horowitz. Initially, the company garnered attention as a blockchain-based startup with a robot cockfighting game that utilized non-fungible tokens (NFTs) called MechaFightClub. However, the company clarifies that the game served as a demonstration of its substantial machine learning model. This model will soon empower users to craft videos using diverse inputs, including images, text, and audio.

Dereck Paul, a former medical student at UC San Francisco, recognized the need for innovation in medical software to match advancements in other industries. His vision prioritized patients and doctors over hospital administrators or insurance companies. Teaming up with Graham Ramsey, an engineer at Modern Fertility, they co-founded Glass Health in 2021. Glass Health offers a unique notebook for physicians, allowing them to store, organize, and share their approaches to diagnosing and treating medical conditions throughout their careers. Ramsey describes it as a “personal knowledge management system” tailored to the medical field.

The inspiration behind Glass Health stemmed from the overwhelming challenges faced by healthcare providers during the pandemic, along with the escalating issue of provider burnout. Paul, who experienced burnout as a medical student and internal medicine resident, aimed to leverage technology to enhance medical practice.

Artificial intelligence’s impressive performance comes at the cost of significant energy consumption, with complex tasks demanding even more power. In response, researchers Víctor López-Pastor and Florian Marquardt from the Max Planck Institute for the Science of Light in Erlangen, Germany, have introduced an innovative approach to training AI that offers remarkable energy efficiency. Their method diverges from the conventional use of digital artificial neural networks and relies on physical processes instead. The results of their work are published in the journal Physical Review X.

Training models like GPT-3, the foundation of eloquent chatbots like ChatGPT, demands an astounding amount of energy. While the exact energy consumption for GPT-3 remains undisclosed by Open AI, estimates suggest it could equate to the annual consumption of 200 German households. Despite these energy expenditures, such AI models have yet to grasp the underlying meaning of phrases they analyze.

Singapore-based startup SpaceChain is launching a groundbreaking service that combines artificial intelligence with Earth observation data to provide valuable insights. The service, known as I-Sat and developed by SpaceChain’s U.S. subsidiary, SC Solutions, aims to streamline the process of extracting meaningful information from Earth imagery.

Ziheng Xiang, SpaceChain’s Director of Technology, explained that while AI has simplified the task of answering questions, most AI solutions lack real-time analysis and do not integrate seamlessly with Earth intelligence. I-Sat, akin to OpenAI’s ChatGPT, employs natural language processing technology to generate answers but goes a step further by incorporating real-time data analytics to support those answers.

In a recent report, Forrester delved into the future implications of generative artificial intelligence and how this technology is set to predominantly affect white-collar jobs.

The report defined generative AI as a collection of technologies and techniques that utilize extensive datasets, including large language models, to generate fresh content across various mediums such as text, video, images, audio, and code. This content generation can be initiated through natural language prompts or unconventional inputs.

Hiber, in collaboration with Datatonic and Google Cloud, announced a significant upgrade to its 3D world creation tools, incorporating generative AI to simplify the process of building virtual environments. This development was showcased at the recent Google Cloud Next event in San Francisco, marking a major milestone for the Swedish-based company.

Hiber’s mission is to democratize the 3D web, making it more accessible to creators and users alike. Through their existing tools, the Hiber3D Development Kit, and a consumer-friendly no-code tool, they have already facilitated the creation of over five million 3D worlds on the HiberWorld user-generated content hub.

Amazon has unveiled a new AI tool designed to assist sellers in creating product listings more efficiently. This feature utilizes a large language model (LLM) trained on extensive datasets to streamline the process of describing products. Amazon characterizes this tool as a way to simplify the often labor-intensive task of crafting titles, bullet points, and product descriptions into a single step.

Amazon’s Generative Listing Content tool requires sellers to provide a brief product description, typically just a few words or sentences. From there, the tool generates high-quality content, including a product title, description, and bullet points, which sellers can review and edit if necessary. During the testing phase, many sellers found the generated content suitable for use without further revisions.