Id say ASI by 2029 or sooner, but we re now in uncharted waters.
Amodei: “I think progress really is as fast as people think it is.”
Id say ASI by 2029 or sooner, but we re now in uncharted waters.
Amodei: “I think progress really is as fast as people think it is.”
A Minnesota-based glazing firm is using a robotic system to install high-rise glass panel bracket. Harmon is installing the latest technology with the help of Raise Robotics and Universal Robots. For high rise fastener installation, the robotic system has improved worker safety, as well as consistency and precision.
The companies revealed that construction workers need extensive safety rigging to install glass panel brackets up to 1,000 ft. into the air.
As artificial intelligence models become increasingly advanced, electronics engineers have been trying to develop new hardware that is better suited for running these models, while also limiting power-consumption and boosting the speed at which they process data. Some of the most promising solutions designed to meet the needs of machine learning algorithms are platforms based on memristors.
Memristors, or memory resistors, are electrical components that can retain their resistance even in the absence of electrical power, adjusting their resistance based on the electrical charge passing through them. This means that they can simultaneously support both the storage and processing of information, which could be advantageous for running machine learning algorithms.
Memristor-based devices could be used to develop more compact and energy-efficient hardware for running AI models, including emerging distributed computing solutions referred to as edge computing systems. Despite their advantages, many existing memristor-based platforms have been found to have notable limitations, adversely impacting their reliability and endurance.
Unlike traditional RLHFs, which only provide feedback after an assessment has been completed, pBCIs capture implicit, real-time information about the user’s cognitive and emotional state throughout the interaction. This allows the AI to access more comprehensive, multidimensional feedback, including intermediate decisions, judgments and thought processes. By observing brain activity when assessing situations, pBCIs provide a more comprehensive understanding of user needs and enable the AI to adapt more effectively and proactively.
By combining RLHF with pBCIs, we can elevate AI alignment to a new level—capturing richer, more meaningful information that enhances AI’s responsiveness, adaptability and effectiveness. This combination, called neuroadaptive RLHF, retains the standard RLHF approach but adds more detailed feedback through pBCIs in an implicit and unobtrusive way. Neuroadaptive RLHF allows us to create AI models that better understand and support the user, saving time and resources while providing a seamless experience.
The integration of RLHF with pBCIs presents both opportunities and challenges. Among the most pressing concerns are privacy and ethics, as pBCIs capture sensitive neural data. Ensuring proper consent, secure storage and ethical use of this data is critical to avoid misuse or breaches of trust.
Nvidia, Microsoft, and Arm are among the technology partners.
In today’s AI news, a new $500 billion, private sector investment to build artificial intelligence infrastructure in the US, with Oracle, ChatGPT creator OpenAI, and Japanese conglomerate SoftBank among those committing to the project. The joint venture, called Stargate, is expected to begin with a data center project in Texas.
In other advancements, Perplexity has launched an aggressive bid to capture the enterprise AI search market, unveiling Sonar, an API service that outperforms offerings from Google, OpenAI and Anthropic on key benchmarks while also undercutting their prices. Perplexity — now valued at $9 billion — directly challenges larger competitors.
And, Santee Cooper, the big power provider in South Carolina, has tapped financial advisers to look for buyers that can restart construction on a pair of nuclear reactors that were mothballed years ago. The state-owned utility is betting interest will be strong, with tech giants such as Amazon and Microsoft in need of clean energy to fuel AI.
Then, Google is making a fresh investment of more than $1 billion into AI startup Anthropic, the Financial Times reported on Wednesday. This comes after Reuters and other media reported earlier in January that Anthropic was nearing a $2 billion fundraise in a round, led by Lightspeed Venture Partners, valuing the firm at about $60 billion.
In videos, Indeed CEO Chris Hyams, and Stanford Digital Economy Lab Director Erik Brynjolfsson, join Bloomberg’s Work for a discussion on the key trends impacting employees and employers in 2025 and beyond.
Google DeepMind is building a groundbreaking AI system capable of simulating the entire physical world to advance toward Artificial General Intelligence (AGI). By combining multimodal data like video, audio, and robotics, this world simulation AI aims to replicate real-world physics for applications in robotics, gaming, and scientific research. This ambitious project highlights Google’s focus on scaling AI models to achieve unprecedented levels of intelligence and realism.
Key Topics:
Google’s groundbreaking AI initiative to simulate the physical world for AGI development.
The integration of multimodal data like video, audio, and robotics in world simulation.
Real-world applications of AI-driven simulations in robotics, gaming, and scientific research.
What You’ll Learn:
How Google’s AI is paving the way to Artificial General Intelligence through world modeling.
The transformative potential of AI simulations in training robots and creating realistic environments.
Why these advancements represent a critical leap in technology and intelligence.
Why It Matters:
When I saw the introduction of this game, the word “edutainment” popped up in my mind. It definitely turns coding into a more fun, satisfying activity.
“Use real Python code to automate machines, robots, drones and more: Program self-driving vehicles; crack passwords; apply machine learning; automate logistics; use image processing to guide missiles,” the description of JOY OF PROGRAMMING — Software Engineering Simulator reads.
There are various levels that are ready in the game, whose goals, mandatory or optional ones, can be solved with different valid solutions. When finishing the levels, you’ll gain stars, which are used to unlock new programming features.
The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefit for the entire world. This project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies.
The initial equity funders in Stargate are SoftBank, OpenAI, Oracle, and MGX. SoftBank and OpenAI are the lead partners for Stargate, with SoftBank having financial responsibility and OpenAI having operational responsibility. Masayoshi Son will be the chairman.
Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners. The buildout is currently underway, starting in Texas, and we are evaluating potential sites across the country for more campuses as we finalize definitive agreements.
Trump—flanked by larry ellison, sam altman, & masayoshi son—announces project stargate.
Trump announces Project Stargate, a $500 billion initiative backed by major tech leaders, aimed at revolutionizing U.S. AI infrastructure, creating jobs, and enhancing healthcare through advanced technologies. AI Infrastructure and Economic Impact.
🏗️Project Stargate, a $500+ billion AI infrastructure initiative, aims to construct colossal data centers and physical campuses across the US, potentially creating over 100,000 American jobs.
🌐The project will build physical and virtual infrastructure to power next-generation AI advancements, with Oracle, SoftBank, and Microsoft as key partners, establishing a new US-centered industry. ## Healthcare Applications.