Browsing: AI News & Trends

Something strange is happening in Washington. And no, it is not a new scandal. Government officials are in a frantic rush to deal with the unknown and unpredictable, not the economy, but artificially intelligent computer programs that might be getting a little too good.If you skim through today’s news, like the report on White House efforts to curb dangerous advanced AI, you’ll get a sense of what is going on. The government, bankers, and AI leaders are all in urgent talks over something.Why are they meeting with such urgency? Several current state-of-the-art AI models are not just able to write…

What makes work valuable? Michal Masny, the NC Ethics of Technology Postdoctoral Fellow in the MIT Department of Philosophy, investigates the role work plays in our lives and its impact on our well-being. Masny sees numerous benefits to work, beyond a paycheck. It’s a space for people to develop excellence at something, make a social contribution, gain social recognition, and create and sustain community. “Consider a future in which we shorten the work week, or one in which we eliminate work altogether,” Masny says. “I don’t believe either of these scenarios would be unambiguously good for everyone.”“Work is both necessary and positively valuable,”…

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires training a massive one first and then trimming it down, or training a small one from scratch and accepting weaker performance. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Max Planck Institute for Intelligent Systems, European Laboratory for Learning and Intelligent Systems, ETH, and Liquid AI have now developed a new method that sidesteps this trade-off entirely, compressing models during training, rather than after.The technique, called CompreSSM, targets a family of AI architectures known…

It sounds like a late-night conversation with friends, what if artificial intelligence becomes so capable that we simply start working less. and what if we tax machines instead of people?It turns out you don’t need to dream big to make this conversation a reality. It’s now on the agenda of OpenAI.OpenAI released a proposal suggesting AI doesn’t merely increase productivity. It also offers a way of restructuring the economy. Shorter working weeks. New forms of public wealth. Taxes on work done by AI.And this might be what is truly disturbing and compelling about this report: If the robots are doing…

MIT.nano has announced that 16 startups became active participants in its START.nano program in 2025, more than doubling the number of new companies from the previous year. Aimed at speeding the transition of hard-tech innovation to market, START.nano supports new ventures through the discounted use of MIT.nano shared facilities and a guided access to the MIT innovation ecosystem. The newly engaged startups are developing solutions for some of the world’s greatest challenges in health, climate, energy, semiconductors, novel materials, and quantum computing.“The unique resources of MIT.nano enable not just the foundational research of academia, but the translation of that research…

To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share them. But even with pooling, significant device capacity remains underutilized due to performance variability across the devices.MIT researchers have now developed a system that boosts the performance of storage devices by handling three major sources of variability simultaneously. Their approach delivers significant speed improvements over traditional methods that tackle only one source of variability at a time.The system uses a two-tier architecture, with a central controller that makes big-picture decisions about which tasks each storage device performs, and local controllers…

More than 50,000 tech employees have lost their jobs so far this year. Asked why, most will say the same thing: artificial intelligence.Not because AI rose up and destroyed their workplaces, but because it assumed many of their responsibilities. And AI doesn’t draw a salary.So far this year, more than 50,000 tech workers have lost their jobs, and employers say AI tools are making it easier to cut staff.While layoffs began last year, companies have accelerated the process in 2026 by relying on AI to replace workers in roles such as software testing and customer service, according to employers.The trend…

Today, there are 94 nuclear reactors operating in the United States, more than in any other country in the world, and these units collectively provide nearly 20 percent of the nation’s electricity. That is a major accomplishment, according to Dean Price, but he believes that our country needs much more out of nuclear energy, especially at a moment when alternatives to fossil fuel-based power plants are desperately being sought. He became a nuclear engineer for this very reason — to make sure that nuclear technology is up to the task of delivering in this time of considerable need.“Nuclear energy has…

Enterprise AI adoption has moved beyond experimentation and is now embedded in core business workflows. Early adoption cycles focused on speed, efficiency, and automation at scale. That focus is shifting. As AI systems begin to influence high-impact decisions, organizations are being evaluated on a different dimension: trust. The ability to ensure that AI-driven outcomes are reliable, accountable, and aligned with business and regulatory expectations is becoming a defining factor. Speed without oversight introduces risk at scale. Organizations that are leading in AI are not those that automate the most. They are the ones that design systems where human oversight is…

Imagine never having to click through a software application again. Ever. The days of finding yourself staring blankly at the first screen of a new tool and wondering “What do I do now?” are disappearing.AI is quietly changing the way software is built and it’s a massive deal. Instead of software applications that users must learn to navigate, we are witnessing the birth of applications that users can talk to.Once you notice it, it’s impossible to ignore.  Software applications are moving from dashboards and processes to conversational interfaces. In essence, users don’t want tools, they want results, and AI is…