‘Can a machine do this job?’ is the wrong question
By shifting work to the consumer, AI will usher in a self-service economy
MarktechPost·
Researchers from Meta AI and the King Abdullah University of Science and Technology (KAUST) have introduced Neural Computers (NCs) — a proposed machine form in which a neural network itself acts as the running computer, rather than as a layer sitting on top of one. The research team presents both a theoretical framework and two […] The post Meta AI and KAUST Researchers Propose Neural Computers That Fold Computation, Memory, and I/O Into One Learned Model appeared first on MarkTechPost.
Read full articleBy shifting work to the consumer, AI will usher in a self-service economy
The aggressive price target hikes reflect growing confidence in AI-driven demand, potentially reshaping investment strategies in tech sectors. The post Wells Fargo more than doubles Micron price target to $1,220, citing AI memory boom appeared first on Crypto Briefing.
The code WIRED identified is gone from the latest version of Meta AI, the companion app for the company’s smart glasses. Meta won’t say why or whether it’s coming back.
The partnership could accelerate AI advancements, reshape tech infrastructure, and influence global semiconductor supply dynamics for years. The post Nvidia deepens SK Hynix ties as AI memory crunch tightens appeared first on Crypto Briefing.
An AI-generated image of the royal family featuring two Queen Elizabeth IIs. | Image: Meta AI Facebook has long been filled with feeds of clickbait articles. Now, Meta is making its own clickbait articles with AI. The standalone Meta AI app now has a "For You" section that populates a list of clickbait-style stories for you to read. But the topics, images, and text are all AI-generated - and as questionable as you'd expect from AI-created works. The Meta AI app first launched in April 2025 with its focus on a public "Discover" feed that showed AI-generated images and conversations from other users (who frequently seemed unaware that they were being made public). That's all disappeared. The app now has a standard chatbot interface, … Read the full story at The Verge.
Agentic AI has moved from conference hype to a budget line item. This is where the conversation gets more interesting and more uncomfortable. Unlike traditional AI systems that respond to a single prompt, classify a document, recommend an action, or generate a summary, agentic AI systems are designed to pursue goals. They plan, call tools, inspect results, retry failed steps, consult memory, hand off tasks to other agents, and sometimes critique their own work before producing an answer or taking an action. That extra autonomy is the value proposition. It also introduces the cost problem. A single chatbot interaction may consume a few thousand tokens. A useful agentic workflow can consume hundreds of thousands or millions of tokens per day because it does more than answer a question. It decomposes the problem, retrieves context, reasons through options, invokes APIs, checks the output, and often runs multiple passes before reaching a result. Therefore, the economics need to be understo
Stanford researchers released OpenJarvis, an open-source framework that runs inference, agents, memory, and learning entirely on-device. It decomposes a personal AI system into five composable primitives — Intelligence, Engine, Agents, Tools & Memory, and Learning — and lands within 3.2 points of the best cloud model at roughly 800× lower marginal API cost. The post Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning appeared first on MarkTechPost.
Pricey Instagram handles were stolen and resold before Meta patched the exploit.