Articles for category: AI News

March 14, 2025

ikayaniaamirshahzad@gmail.com

Microsoft’s Muse AI can Design Entire Video Game Worlds

Image Credit: Midjourney Games have played a monumental role in the evolution of AI. From creating training environments to simulating real world conditions, games represent incredible catalyzers on AI learning. A new field known as world action models is rapidly emerging as a field to combine games and AI. Microsoft just dropped an ecising research in this area with a model that can create games after watching human players. Sounds crazy? Let’s discuss. Muse, a generative AI model, marks a pivotal advancement in the convergence of artificial intelligence and video games. This model, developed by the Microsoft Research Game Intelligence

March 14, 2025

ikayaniaamirshahzad@gmail.com

OpenAI’s regulatory power play

PLUS: Gemini gets a major personalization upgrade Good morning, AI enthusiasts. OpenAI just revealed its vision for AI governance — seeking copyright exemptions for themselves while pushing to restrict Chinese open-source rivals like DeepSeek. As the $500B Stargate architect flexes its growing influence in Washington, has OpenAI’s political strategy become as calculated as its AGI roadmap? OpenAI pushes for federal shield in AI Action Plan Cohere’s new efficient enterprise AI model Turn your health data into personalized insights Gemini taps into Google history with personalization 4 new AI tools & 4 job opportunities OPENAI Image source: Getty Images The Rundown:

March 14, 2025

ikayaniaamirshahzad@gmail.com

If AI Is So Great, Someone Should Tell GDP

This post is part 2 of a seven-part series on The State of AI, 2025. (Part 1) This second part naturally follows the first part, both in numbering and theme: if the optimal scale-efficiency trade-off is suddenly unclear, then the question of “How much should I invest in GPUs and infrastructure to build new AI models vs. talent that knows how to optimize what I already have?” becomes fundamental. More so when your trusted hyperscaler got the news: “Hey, those DeepSeek guys, how are they doing this so cost-efficiently?” Try answering that with a folder that says “Project Stargate—expected CapEx:

March 14, 2025

ikayaniaamirshahzad@gmail.com

LWiAI Podcast #200 – ChatGPT Roadmap, Musk OpenAI Bid, Model Tampering

Our 200th episode with a summary and discussion of last week’s big AI news!Recorded on 02/14/2025 Join our brand new Discord here! https://discord.gg/nTyezGSKwP Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai. In this episode: OpenAI announces plans to unify their model offerings, moving away from multiple separate models (GPT-4, Claude, etc.) toward a single unified intelligence system, with free users getting “standard intelligence” and Plus subscribers accessing “higher intelligence” levels. Adobe launches their Sora-rivaling AI video generator with 1080p output and 5-second clips, emphasizing production-ready content for films

March 14, 2025

ikayaniaamirshahzad@gmail.com

Novelty In The Game Of Go Provides Bright Insights For AI And Autonomous Vehicles 

By Lance Eliot, the AI Trends Insider   We already expect that humans to exhibit flashes of brilliance. It might not happen all the time, but the act itself is welcomed and not altogether disturbing when it occurs.    What about when Artificial Intelligence (AI) seems to display an act of novelty? Any such instance is bound to get our attention; questions arise right away.    How did the AI come up with the apparent out-of-the-blue insight or novel indication? Was it a mistake, or did it fit within the parameters of what the AI was expected to produce? There is also the immediate consideration of whether

March 14, 2025

ikayaniaamirshahzad@gmail.com

Most AI researchers are skeptical about language models achieving AGI

Summary A new study indicates that AI researchers largely doubt current artificial intelligence approaches will lead to artificial general intelligence (AGI), even as the technology continues advancing. According to the AAAI study on the future of AI research, more than three-quarters of researchers believe scaling existing AI systems is unlikely to produce AGI. The study found that 76 percent of respondents rated this possibility as “unlikely” or “very unlikely.” The research highlights a strong consensus about the role of symbolic intelligence – over 60 percent of researchers believe any system approaching human-like reasoning would need to be at least 50

March 14, 2025

ikayaniaamirshahzad@gmail.com

From Token to Conceptual: Meta introduces Large Concept Models in Multilingual AI

Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at a time. However, human cognition works on multiple levels of abstraction, enabling deeper analysis and creative reasoning. Addressing this gap, in a new paper Large Concept Models: Language Modeling in a Sentence Representation Space, a research team at Meta introduces the Large Concept Model (LCM), a novel architecture that processes input at a higher semantic level. This shift allows the LCM to achieve remarkable zero-shot generalization across languages, outperforming existing LLMs

March 14, 2025

ikayaniaamirshahzad@gmail.com

With AI and linguistics, this professor is decoding how animals and humans communicate

Credit: Pixabay/CC0 Public Domain When Gašper Beguš began studying linguistics, he spent his time deciphering ancient, largely dead languages. “Nobody cared about linguistics,” he says in this episode of 101 in 101, a series from UC Berkeley that challenges professors and other experts to distill the basics of their field of study into only 101 seconds. But today, linguistics sits at the crossroads of numerous disciplines, including biology, law and computer science. Colleagues from across academia are suddenly interested in leveraging what linguisticians have learned. “The machine learning people really want to know how we do things,” says Beguš, an

March 14, 2025

ikayaniaamirshahzad@gmail.com

Visualizing research in the age of AI

An original photograph taken by Felice Frankel (left) and an AI-generated image of the same content. Credit: Felice Frankel. Image on right was generated with DALL-E By Melanie M Kaufman For over 30 years, science photographer Felice Frankel has helped MIT professors, researchers, and students communicate their work visually. Throughout that time, she has seen the development of various tools to support the creation of compelling images: some helpful, and some antithetical to the effort of producing a trustworthy and complete representation of the research. In a recent opinion piece published in Nature magazine, Frankel discusses the burgeoning use of

March 14, 2025

ikayaniaamirshahzad@gmail.com

Guardrails in OpenAI Agent SDK

With the release of OpenAI’s Agent SDK, developers now have a powerful tool to build intelligent systems. One crucial feature that stands out is Guardrails, which help maintain system integrity by filtering unwanted requests. This functionality is especially valuable in educational settings, where distinguishing between genuine learning support and attempts to bypass academic ethics can be challenging. In this article, I’ll demonstrate a practical and impactful use case of Guardrails in an Educational Support Assistant. By leveraging Guardrails, I successfully blocked inappropriate homework assistance requests while ensuring genuine conceptual learning questions were handled effectively. Learning Objectives Understand the role of