Author: Advanced AI Bot

“We’ve been really pushing on ‘thinking,’” says Jack Rae, a principal research scientist at DeepMind. Such models, which are built to work through problems logically and spend more time arriving at an answer, rose to prominence earlier this year with the launch of the DeepSeek R1 model. They’re attractive to AI companies because they can make an existing model better by training it to approach a problem pragmatically. That way, the companies can avoid having to build a new model from scratch.  When the AI model dedicates more time (and energy) to a query, it costs more to run. Leaderboards…

Google Versus OpenAI: The AI Fight For StudentsNurPhoto via Getty Images As finals season intensifies across campuses nationwide, students are receiving a timely boost from two tech giants, OpenAI and Google. Both have unveiled generous AI offerings to students for free. These initiatives aren’t just providing tools. They’re potentially fueling a redefined landscape in higher education. Positioning artificial intelligence as an essential part of student life. Immediate Impact Versus Long-Term Partnership? Two weeks ago, OpenAI stepped forward with a powerful short-term offer, granting U.S. and Canadian college students free access to ChatGPT Plus through the end of May 2025. This…

arXiv:2504.11671v1 Announce Type: new Abstract: Large language models (LLMs) increasingly serve as human-like decision-making agents in social science and applied settings. These LLM-agents are typically assigned human-like characters and placed in real-life contexts. However, how these characters and contexts shape an LLM’s behavior remains underexplored. This study proposes and tests methods for probing, quantifying, and modifying an LLM’s internal representations in a Dictator Game — a classic behavioral experiment on fairness and prosocial behavior. We extract “vectors of variable variations” (e.g., “male” to “female”) from the LLM’s internal state. Manipulating these vectors during the model’s inference can substantially alter how…

Researchers from Stanford University early today published the latest edition of their annual AI Index Report, detailing the growing influence of artificial intelligence technologies on our society and the global economy. The Stanford Institute for Human-Centered Artificial Intelligence, known as Stanford HAI, has been publishing its annual reports on the state of the AI industry since 2017. This year’s edition, the eighth, is the “most comprehensive” report to date, spanning more than 430 pages. The authors say it’s arriving at a critical juncture as the influence of AI across society rapidly accelerates with the emergence of increasingly capable and sophisticated…

Unpacking Q4 Earnings: IBM (NYSE:IBM) In The Context Of Other IT Services & Consulting Stocks The end of an earnings season can be a great time to discover new stocks and assess how companies are handling the current business environment. Let’s take a look at how IBM (NYSE:IBM) and the rest of the it services & consulting stocks fared in Q4. IT Services & Consulting companies stand to benefit from increasing enterprise demand for digital transformation, AI-driven automation, and cybersecurity resilience. Many enterprises can’t attack these topics alone and need IT services and consulting on everything from technical advice to…

An MIT student has sued the federal government over its abrupt termination of her international student record in a federal database managed by the Department of Homeland Security.The student, an MIT senior set to graduate in May, learned her record in the Student and Exchange Visitor Information System, or SEVIS, was abruptly deleted in early April, putting her at risk of detainment by immigration enforcement agents.Several dozen international students in Massachusetts, and over a thousand nationwide, had their visas revoked and SEVIS records expunged by the federal government in recent days. The reason behind the moves remain unclear, and federal…

AsianFin — The global venture capital (VC) transaction volumes plunged in the first quarter of 2025, according to global research institutions Crunchbase and PitchBook-NVCA.Despite a decline in overall deal volume, artificial intelligence (AI) investments have experienced the most robust quarter in the first quarter of 2025 since mid-2022.Global VC transactions in Q1 2025 reached 7,551 deals, a 32% year-over-year decline, as per PitchBook. However, the total transaction value surged to $126.3 billion, representing a 53.46% increase compared to the same period in 2024.AI and machine learning led the charge, with 2,101 transactions worth $73.1 billion, making up 57.87% of the…

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 1Fort announced today a $7.5 million seed funding round to improve how small businesses obtain commercial insurance through its AI-powered platform. The New York-based startup, which has experienced 200% month-over-month revenue growth in 2024, aims to automate the outdated, manual processes that have left millions of small businesses underinsured. Bonfire Ventures led the oversubscribed round, with participation from Draper Associates, Ramp founder Karim Atiyeh, and existing investors Village Global, Operator Partners, 8-Bit Capital, Character VC, and Company Ventures. This latest investment…

In a bid to more aggressively compete with rival AI companies like Google, OpenAI is launching Flex processing, an API option that provides lower AI model usage prices in exchange for slower response times and “occasional resource unavailability.” Flex processing, which is available in beta for OpenAI’s recently released o3 and o4-mini reasoning models, is aimed at lower-priority and “non-production” tasks such as model evaluations, data enrichment, and asynchronous workloads, OpenAI says. It reduces API costs by exactly half. For o3, Flex processing is $5/M input tokens (~750,000 words) and $20/M output tokens versus the standard $10/M input tokens and…

#ai #interview #research Jacob Steinhardt believes that future AI systems will be qualitatively different than the ones we know currently. We talk about how emergence happens when scaling up, what implications that has on AI Safety, and why thought experiments like the Paperclip Maximizer might be more useful than most people think. OUTLINE: 0:00 Introduction 1:10 Start of Interview 2:10 Blog posts series 3:56 More Is Different for AI (Blog Post) 7:40 Do you think this emergence is mainly a property from the interaction of things? 9:17 How does phase transition or scaling-up play into AI and Machine Learning? 12:10…