Top 10 AI News
Latest Technology & Artificial Intelligence News
Meta Buys AI Startup Manus to Advance Its AI Efforts
By Staff Writer; Date December 29, 2025
Meta, the parent company of Facebook and Instagram, has announced the acquisition of the AI startup Manus as part of its effort to enhance AI-driven features across its platforms. The deal will bring Manus’s AI agent technology into Meta’s ecosystem to help improve virtual and augmented reality experiences. Read more.
Google’s Parent Alphabet Acquires Energy Specialist Intersect for $4.75B
By AP Business Desk; Date December 28, 2025
Alphabet Inc., Google’s parent company, said it will buy Intersect, a data center energy management specialist, for $4.75 billion. The acquisition is aimed at making Google’s vast server infrastructure more energy-efficient and sustainable, which is crucial for supporting its growing artificial intelligence operations. Read more.
The Rise of Deepfake Cyberbullying Poses a Growing Problem for Schools
By Associated Press; Date December 27, 2025
Schools are grappling with a new form of cyberbullying involving AI-generated deepfake images. In one case, students created and circulated fake nude photos of a classmate using AI tools, leading to conflicts. Officials say schools must develop policies to protect students as deepfake technology becomes more accessible. Read more.
Virtual Reality Opens Doors for Older People to Build Closer Connections
By John Doe, AP Technology Writer; Date December 26, 2025
Virtual reality (VR) platforms are being used to combat isolation among seniors by helping them socialize and explore new experiences. Programs pairing elderly users with VR headsets have shown positive results, allowing older adults to virtually join family gatherings or social events, which can improve mental health and social bonds. Read more.
Humanoid Robots Take Center Stage at Silicon Valley Summit, But Skepticism Remains
By Jane Smith, AP Tech News; Date December 24, 2025
At a recent Silicon Valley technology summit, companies showcased advanced humanoid robots intended for personal and business use. Despite impressive demonstrations of these robots walking and performing tasks, experts caution that reliable full autonomy is still some years away, as many functions rely on remote human control. The debate continues whether humanoids will soon enter everyday environments. Read more.
Guided Learning Lets “Untrainable” Neural Networks Realize Their Potential
By MIT News Staff; Date December 22, 2025
MIT researchers have developed a “guided learning” approach that enables neural networks previously thought too difficult to train to learn effectively. By leveraging the biases of a well-trained teacher network, the method helps smaller or more constrained networks improve performance. This technique could make neural network design more flexible and efficient. Read more.
A New Way to Increase the Capabilities of Large Language Models
By MIT-IBM Watson AI Lab; Date December 17, 2025
Researchers at the MIT–IBM Watson AI Lab have introduced an architecture for large language models (LLMs) that significantly improves their ability to track state and reason over long passages of text. The system enhances how LLMs understand context and maintain coherence in extended conversations or documents, potentially leading to more robust AI assistants and research tools. Read more.
A “Scientific Sandbox” Lets Researchers Explore the Evolution of Vision Systems
By MIT News Staff; Date December 17, 2025
An interdisciplinary team at MIT created an AI-powered simulation platform, described as a “scientific sandbox,” that models the evolution of visual systems. The tool lets researchers experiment with virtual organisms and environments to study how vision might adapt over time. Insights from the platform could inform better camera and sensor design for robotics and autonomous vehicles. Read more.
“Robot, Make Me a Chair”
By MIT News Writer; Date December 16, 2025
MIT engineers have developed an interactive AI-driven design system that allows anyone to verbally create and customize simple furniture. By describing a chair or other object, users can see the design rendered on screen and then produced by an automated robotic assembly process. This research could lead to more intuitive manufacturing tools and on-demand production. Read more.
3 Questions: Using Computation to Study the World’s Best Single-Celled Chemists
By MIT Profiles; Date December 15, 2025
Assistant Professor Yunha Hwang is using computational models to understand how microorganisms perform complex biochemical reactions. By treating metabolic pathways in microbes as analogs to language, her lab seeks patterns in biological processes. Hwang’s work represents MIT’s emphasis on integrating AI with genetic and biochemical research. Read more.
Enabling Small Language Models to Solve Complex Reasoning Tasks
By CSAIL Research Team; Date December 12, 2025
MIT researchers introduced DisCIPL, a framework that coordinates multiple small AI models to tackle complex tasks. Each model is given a specialized subtask (for example, one handles budgeting while another handles scheduling). By dividing complex problems into constrained parts, DisCIPL allows smaller language models to work together effectively, which could reduce costs associated with very large AI systems. Read more.
New MIT Program to Train Military Leaders for the AI Age
By MIT Press Release; Date December 12, 2025
MIT has launched a certificate program for U.S. Naval officers and senior enlisted personnel focused on applied artificial intelligence. The curriculum covers AI fundamentals, data analysis, and ethical implications, preparing military leaders to integrate AI into complex national security challenges. The initiative reflects growing emphasis on technology in defense planning. Read more.
New Method Improves the Reliability of Statistical Estimations
By MIT Research Bulletin; Date December 12, 2025
MIT statisticians have developed a technique to better predict when research results are reliable or may be due to random chance. The approach, which they call “smooth bootstrapping,” enhances traditional methods for evaluating statistical significance. It could help researchers in economics, medicine, and other fields determine whether to trust new findings. Read more.
New Materials Could Boost the Energy Efficiency of Microelectronics
By MIT Materials Science; Date December 11, 2025
Researchers at MIT have devised a chip design that stacks novel electronic components made from two-dimensional materials. The multilayered approach could dramatically reduce the energy wasted during computation. The team demonstrated a proof of concept where active transistor layers sit on top of each other, cutting the power needed for data processing and potentially extending battery life in electronic devices. Read more.
MIT Affiliates Named 2025 Schmidt Sciences AI2050 Fellows
By MIT News Service; Date December 8, 2025
Two MIT-affiliated scholars, postdoc Zongyi Li and Associate Professor Tess Smidt, have been honored as AI2050 Fellows by Schmidt Sciences. The program awards researchers $250,000 to pursue ambitious AI projects addressing long-term societal challenges. Zoey Li will study faster AI simulation methods, while Tess Smidt will explore how neural networks can better integrate human feedback. Read more.
MIT Researchers “Speak Objects into Existence” Using AI and Robotics
By MIT CSAIL; Date December 5, 2025
An MIT team has built a system where spoken descriptions are transformed into physical objects. Using advanced 3D generative AI and robotic assembly arms, a person can describe an item (like a stool or shelf), have it visualized, and then see it built by robots. This “speech-to-reality” project could pave the way for voice-controlled manufacturing and personalized fabrication. Read more.
Robots That Spare Warehouse Workers the Heavy Lifting
By MIT Startup News; Date December 5, 2025
The Pickle Robot Company, founded by MIT alumni, has introduced robots designed to handle heavy loads in warehouses. These machines can autonomously transfer large, bulky packages between trucks and loading docks, reducing strain on workers and improving efficiency. The technology is seeing early adoption in logistics centers eager to automate strenuous tasks. Read more.
AI Minted More Than 50 New Billionaires In 2025
By Alicia Park, Forbes; Date December 25, 2025
In 2025, artificial intelligence contributed to an unprecedented wealth boom: over 50 individuals became billionaires due to AI-driven companies and investments. The article highlights tech entrepreneurs, investors, and startup founders who saw their fortunes skyrocket. Industries like cloud computing, AI software, and semiconductors saw particularly high valuations. Read more.
Open Source AI Project in Talks to Raise at Least $160 Million
By Iain Martin, Forbes; Date December 22, 2025
A well-known open-source AI initiative, despite generating minimal revenue from licensing, is reportedly in discussions to secure $160 million in funding. Investors see long-term value in the project’s technology and community. The funding would support development of large language models and tools aimed at making advanced AI accessible to a broader range of users and organizations. Read more.
As OpenAI Shifts to For-Profit, Its Foundation Controls $130 Billion. Who Benefits?
By Paulo Carvão, Forbes; Date December 22, 2025
OpenAI’s recent organizational changes have put a spotlight on the non-profit arm behind ChatGPT. Reports indicate the foundation now controls roughly $130 billion in assets. This article explores the implications of such wealth, questioning how the funds will be used and who will influence AI’s future direction. The debate centers on maintaining public benefit while fueling aggressive technology growth. Read more.
AI Startup Lovable Just Minted One of Europe’s Youngest Ever Self-Made Billionaires
By Alicia Park, Forbes; Date December 19, 2025
A European AI voice-technology startup called Lovable has surged in value after signing major automotive contracts, creating a new billionaire. The company’s co-founder, who is still in his twenties, is now among Europe’s youngest self-made billionaires. The rapid success story exemplifies how AI-driven voice assistants are becoming lucrative in consumer electronics and vehicles. Read more.
The Healthcare Industry Outlook for 2026
By Amy Feldman, Forbes; Date December 17, 2025
This Forbes Healthcare contributor predicts key trends for 2026, including a continued push to integrate AI in diagnostics and patient care. As medical AI tools improve, hospitals and clinics are expected to adopt more predictive analytics for population health, personalized medicine advancements, and robust cybersecurity for health data. Industry analysts also warn of regulatory and privacy challenges as technology adoption accelerates. Read more.
Let Your Personal AI Shopping Agent Pick the Perfect Holiday Gift
By DeArbea Walker, Forbes; Date December 17, 2025
With holiday shopping in full swing, AI-driven shopping assistants are trending as gift-planning tools. Forbes highlights several AI services that curate gift ideas based on a recipient’s interests and budget. The article reviews their accuracy and usability, noting that such agents can save time but caution that they rely on the quality of available data and may miss personal touches. Read more.
Amazon’s Robotaxi Unit Launches in San Francisco Without Steering Wheels—Or Fees
By Alan Ohnsman, Forbes; Date December 15, 2025
Autonomous vehicle startup Zoox, owned by Amazon, has rolled out a public robotaxi service in San Francisco. These electric vehicles feature no steering wheel or driver controls and offer free rides to early users. Zoox executives say they are nearing regulatory approval for broader deployment. The article discusses the technology behind the pods and the competitive landscape with other autonomous taxi companies. Read more.
Microsoft Confronts Agent Sprawl With Agent 365
By Janakiram MSV, Forbes; Date December 14, 2025
Microsoft has introduced “Agent 365,” a platform aimed at organizing the growing multitude of AI agents in enterprise IT. The Forbes article explains how the new system will let businesses manage and deploy AI agents across tasks like customer service and sales, attempting to avoid fragmented deployments. The initiative reflects concerns that companies currently juggle too many uncoordinated AI tools. Read more.
Gemini 3 Approaches the Uber-Software Point: AI as the New UI
By John Koetsier, Forbes; Date December 14, 2025
Google’s latest AI model, Gemini 3, is highlighted as a step toward fully voice-driven software interaction. The Forbes story compares the AI to an “Uber of software,” enabling users to navigate apps and tasks by natural language alone. The author shows examples of how Gemini’s capabilities could replace traditional graphical interfaces, marking a shift in how people will interact with technology in the coming years. Read more.
Windows Is Becoming an Operating System for AI Agents
By Tony Bradley, Forbes; Date December 14, 2025
Forbes technology columnist Tony Bradley reports on Microsoft’s vision of Windows evolving into a platform for hosting AI agents. New updates will make AI tools a central feature of the Windows experience. The article explores how future Windows releases may integrate agents that help with writing, research, and system tasks, indicating a strategy to keep AI tightly integrated with PC workflows. Read more.
From Hype to Harm: The Stories That Shook AI in 2025
By Ron Schmelzer, Forbes; Date December 30, 2025
A year-end countdown of AI’s biggest missteps and controversies in 2025. Forbes highlights incidents ranging from inaccurate chatbots causing real-world issues to poorly vetted AI products that misfire. The writer notes that 2025 saw both wild excitement about AI’s potential and sobering reminders that technology can have unintended consequences. Themes include bias, safety failures, and public trust. Read more.
A New Moore’s Law for Artificial Intelligence: IQ
By John Werner, Forbes; Date December 30, 2025
This analysis suggests redefining progress in AI not by hardware speed but by “AI IQ.” Just as Moore’s Law tracked transistor counts, the author proposes tracking AI performance improvements (under standardized AI tasks) over time. The piece observes that AI capabilities (question-answering, vision, reasoning) have rapidly climbed, but true understanding remains elusive. The writer argues new metrics are needed to measure intelligence growth instead of raw computing power. Read more.
10 Must-Read Tech Books of 2025
By Peter High, Forbes; Date December 30, 2025
Forbes author Peter High lists the year’s top ten technology books. The selection spans AI and cybersecurity to leadership, including titles on how organizations should prepare for the AI era and narratives about tech industry challenges. Each book is briefly reviewed for its relevance and insights. The list is intended for executives and enthusiasts who want a curated reading list for the latest trends. Read more.
Meta’s Manus Buy: The New Exit Playbook for AI Startups
By Gerui Wang, Forbes; Date December 30, 2025
Following Meta’s acquisition of the AI startup Manus, Forbes analyzes why big tech companies are increasingly buying smaller AI firms as their preferred “exit.” The article explains that acquisitions often give startups faster growth and integration of technology than IPOs. It also looks at how this trend affects entrepreneurs, venture capital strategies, and competition with players like Google and OpenAI. Read more.
When Your AI Becomes Your Confidant: What Microsoft’s Copilot Report Reveals
By Sahar Hashmi, Forbes; Date December 30, 2025
Microsoft recently published a report on how users interact with its AI assistant Copilot. This article examines the findings, noting that many people quickly established personal workflows with Copilot. As AI systems become more integrated, the author argues companies should measure not just efficiency gains but also impacts on creativity and trust. The piece suggests additional metrics for understanding long-term user experience with AI advisors. Read more.
Cataclysmic Battle Expected Between AGI and AI Superintelligence
By Lance Eliot, Forbes; Date December 30, 2025
Tech columnist Lance Eliot outlines a speculative scenario in which early-stage AGI (Artificial General Intelligence) and superintelligent AI systems might compete or conflict. He discusses theories on how different levels of AI sophistication could interact and the potential consequences. While cautioning that this scenario is theoretical, the article raises questions about future regulations and AI cooperation versus competition. Read more.
The Growing AI Backlash: Is The Revolution Over Before It’s Even Begun?
By Bernard Marr, Forbes; Date December 30, 2025
Renowned tech writer Bernard Marr examines a rising wave of AI skepticism and regulatory pressure. The article reviews recent controversies, such as concerns about deepfakes, privacy, and job displacement, arguing that public enthusiasm for rapid AI deployment may be waning. Marr considers whether this “backlash” signals a necessary pause to address flaws or a premature slowdown of innovation. Read more.
China Just Reinvented Isaac Asimov’s 3 Laws of Robotics
By John Koetsier, Forbes; Date December 29, 2025
Discussing China’s new draft regulations on AI and robotics, this article notes that the country effectively issued 24 guidelines reminiscent of Asimov’s famous laws. Among them are rules about explainability, fairness, and specifying human responsibilities. The author analyzes how these rules could be enforced in practice and compares them to ethical frameworks elsewhere. It raises questions about global AI governance and cultural differences. Read more.
Nvidia Acquires Groq Talent in a Strategic Move Into AI Inference
By Sol Rashidi, Forbes; Date December 29, 2025
Graphics chipmaker Nvidia has hired key engineers from startup Groq, known for its AI accelerator chips. The move signals Nvidia’s efforts to bolster its own AI inference technology. By integrating Groq’s expertise, Nvidia aims to capture more of the growing market for running AI models efficiently. The article discusses how this talent acquisition fits into Nvidia’s competition with other chipmakers in the AI space. Read more.
A Look At The Top LLMs Of 2025
By John Werner, Forbes; Date December 29, 2025
Forbes tech columnist John Werner compares the leading large language models (LLMs) released in 2025. He summarizes performance benchmarks, unique features, and use cases of each model. The review covers offerings from major labs and companies, highlighting which excel at natural language understanding, coding, or specific tasks. The article provides guidance for businesses deciding which AI model fits their needs. Read more.
Flytek’s AiNote 2 Brings AI to the Tablet
By Charlie Fink, Forbes; Date December 29, 2025
Flytek has launched the AiNote 2, a next-generation e-ink tablet designed for note-taking and reading with AI enhancements. The Forbes review highlights the device’s AI capabilities, such as automatic transcription of handwritten notes and intelligent search within documents. With a thin, lightweight design, AiNote 2 targets students and professionals who want offline AI tools. The article praises its utility but notes limitations of e-ink refresh rates. Read more.
How Agent Swarms Will Change The Web And Everything Else
By John Werner, Forbes; Date December 29, 2025
This article explores the future impact of AI agents working in large coordinated groups, or “swarms.” The author predicts that swarms of specialized AI agents will collaborate to complete tasks like planning trips, managing finances, or negotiating deals. Such a shift could blur the line between single-agent assistants and collective intelligence, leading to new business models and transforming how we interact with online services. Read more.
Waymo Did Badly in a Big Power Outage: Where Was the Simulator?
By Brad Templeton, Forbes; Date December 29, 2025
An unexpected city-wide blackout caused havoc for Waymo’s autonomous vehicles, with many cars stranded. Tech columnist Brad Templeton argues that with proper simulation training, Waymo could have anticipated the need for backup procedures or additional human supervision. The columnist calls for AI-driving companies to rigorously test their systems under rare failure scenarios. Read more.
Why AI Hive Minds Will Be Needed To Attain AGI
By Lance Eliot, Forbes; Date December 29, 2025
Futurist Lance Eliot discusses a theory that creating artificial general intelligence (AGI) might require multiple AI agents working together in a hive-mind structure. He suggests that rather than one monolithic AI, an ecosystem of specialized AIs that train each other could reach human-level understanding. The piece explores implications of this approach for AI development and safety. Read more.
10 AI Agent Platforms Every Business Leader Needs to Know
By Bernard Marr, Forbes; Date December 29, 2025
This listicle introduces ten emerging AI agent platforms that are gaining traction in business. It includes both open-source and commercial solutions, describing how they enable automation of tasks such as customer support, email management, and data analysis. Each platform entry highlights its unique strengths and use cases, helping executives select the right tool for implementing intelligent agents in their organizations. Read more.
Overcoming Top 5 Challenges of AI Projects at a $5B Regulated Company
By Paul Baier, Forbes; Date December 28, 2025
An executive at a medical device manufacturer shares real-world lessons from implementing AI at scale in a highly regulated industry. He outlines five major challenges, including data integration, regulatory compliance, cross-department buy-in, talent acquisition, and maintaining model accuracy. The article offers strategies for each challenge, such as cross-functional teams and robust validation processes. Read more.
AI Might Finally Fix Your Broken Health Resolutions
By Ron Schmelzer, Forbes; Date December 28, 2025
As people make New Year’s resolutions, AI-based wellness tools promise to help keep them on track. This article discusses AI health apps that monitor diet, exercise, and sleep, offering personalized nudges and feedback. It also covers smart gadgets and virtual coaches that adapt plans to personal data. The author notes these tools could significantly improve success rates for common resolutions if users commit to them. Read more.
Coping With Marriage Problems via Generative AI
By Lance Eliot, Forbes; Date December 28, 2025
This piece examines how couples might use generative AI as a tool for relationship counseling. While not a substitute for professional therapy, the author suggests that AI chatbots could help spouses explore communication issues or practice conversations. The article offers scenarios where AI could provide suggestions for resolving small disputes or understanding each other’s perspectives. It also cautions about relying too heavily on AI for complex emotional matters. Read more.
In Chasing Biological Efficiency, Innovators Are Turning To ‘Analog’
By John Werner, Forbes; Date December 27, 2025
This Forbes column explores two trends: using inspiration from biological systems to improve AI hardware, and using AI to design new biological processes. It covers how startups are building analog computing devices that mimic neural processes to reduce power consumption, and how biologists use AI to engineer microbes for tasks like biofuel production. The writer argues that both approaches point to blurring lines between biology and technology. Read more.
Successfully Living Under Your Means via Generative AI
By Lance Eliot, Forbes; Date December 27, 2025
Financial expert Lance Eliot discusses how people can use AI tools to better manage household budgets and spending. The article notes that lifestyle inflation has outpaced income growth for many, making frugality crucial. It highlights AI budgeting apps that automatically categorize expenses, predict future income vs. expenses, and suggest adjustments. By creating personalized spending plans, users can achieve savings goals. The author encourages a mindset shift from merely living within one’s means to actively living below them with AI help. Read more.