Some OpenAI clients are seeking alternatives since the drama unfolded with the ousting of CEO Sam Altman.
Category: robotics/AI – Page 607
As the dust still settles on OpenAI’s latest drama, a letter has surfaced from several staff researchers citing concerns about an AI superintelligence model under development that could potentially pose a threat to humanity, according to those close to the source. The previously undisclosed letter is understood to be the real reason behind why Sam Altman was fired from the company.
The model, known internally as Project Q*, could represent a major breakthrough in the company’s pursuit of artificial general intelligence (AGI) – a highly autonomous branch of AI superintelligence capable of cumulative learning and outperforming humans in most tasks. And you were worried about ChatGPT taking all our jobs?
With Sam Altman now firmly back at the company and a new OpenAI board in place, here are all of the details of Project Q*, as well as the potential implications of AGI in the bigger picture.
On Tuesday, Stability AI released Stable Video Diffusion. The first implementation for private users is now available.
The makers of the Stable Diffusion tool “ComfyUI” have added support for Stable AI’s Stable Video Diffusion models in a new update. ComfyUI is a graphical user interface for Stable Diffusion, using a graph/node interface that allows users to build complex workflows. It is an alternative to other interfaces such as AUTOMATIC1111.
According to the developers, the update can be used to create videos at 1,024 × 576 resolution with a length of 25 frames on the 7-year-old Nvidia GTX 1,080 with 8 gigabytes of VRAM. AMD users can also use the generative video AI with ComfyUI on an AMD 6,800 XT running ROCm on Linux. It takes about 3 minutes to create a video.
The Australian Space Agency has revealed its shortlist of names for the country’s first lunar rover — and you can help choose the winner by casting your vote.
In partnership with NASA, the agency’s Australian-made, semi-autonomous rover is slated to launch to the moon as part of a future Artemis mission by as early as 2026. The rover will have the ability to pick up lunar rocks and dust, then bring the specimens back to a moon lander operated by NASA.
Why it matters: While AI algorithms are seemingly everywhere, processing on the most popular platforms require powerful server GPUs to provide customers with their generative services. Arm is introducing a new dedicated chip design, set to provide AI acceleration even in the most affordable IoT devices starting next year.
The Arm Cortex-M52 is the smallest and most cost-efficient processor designed for AI acceleration applications, according to the company. This latest design from the UK-based fabless firm promises to deliver “enhanced” AI capabilities to Internet of Things (IoT) devices, as Arm states, without the need for a separate computing unit.
Paul Williamson, Arm’s SVP and general manager for the company’s IoT business, emphasized the need to bring machine learning optimized processing to “even the smallest and lowest-power” endpoint devices to fully realize the potential of AI in IoT. Despite AI’s ubiquity, Williamson noted, harnessing the “intelligence” from the vast amounts of data flowing through digital devices requires IoT appliances that are smarter and more capable.
Exclusive: OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say https://www.reuters.com/technology/sam-altmans-ouster-openai…11-22/ OpenAI Made an AI Breakthrough Before Altman Firing, Stoking Excitement and Concern https://www.theinformation.com/articles/openai-made-an-ai-br…nd-concern The Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html Get on my daily AI newsletter 🔥 https://natural20.beehiiv.com/subscribe [News, Research and Tutorials on AI] See more at: https://natural20.com/ My AI Playlist: https://www.youtube.com/playlist?list=PLb1th0f6y4XROkUAwkYhcHb7OY9yoGGZH
ETH Zurich researchers deployed an autonomous excavator, called HEAP, to build a 6-meter-high and 65-meter-long dry-stone wall. The wall is embedded in a digitally planned and autonomously excavated landscape and park.
The team of researchers included Gramazio Kohler Research, the Robotics Systems Lab, Vision for Robotics Lab, and the Chair of Landscape Architecture. They developed this innovative design application as part of the National Center of Competence in Research for Digital Fabrication (NCCR dfab). Their work has been described in Science Robotics.
Using sensors, the excavator can autonomously draw a 3D map of the construction site and localize existing building blocks and stones for the wall’s construction. Specifically designed tools and machine vision approaches enable the excavator to scan and grab large stones in its immediate environment. It can also register their approximate weight as well as their center of gravity.