Gemini 4 Argon: Built to solve your hardest problems
Google releases Gemini 4 Argon to introduce the capabilities and application directions of the new model in solving difficult problems.
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Models
AI safety
Google DeepMind’s New Resident Philosopher Tackles AI Ethics
How should humans relate to generative AI ? In what ways do we, or should we, treat a large language model (LLM) as if it were a person? If an AI became conscious, how could we tell? Does it make sense to think AI could someday have moral rights? These are among the cognitive and ethical questions that occupied philosopher Henry Shevlin at Cambridge University’s Leverhulme Centre for the Future of Intelligence .
AI safety
Open models have real benefits. Do they outweigh the risks?
MIT Technology Review Explains: Let our writers untangle the complex, messy world of science and technology to help you understand what’s coming next. You can read more from the series here. Late last month, Anthropic released a report arguing that the model GLM-5.3 poses a major cyberattack risk. The report’s core concern is that the…
Industry
AI labs are buying data from dead startups to train their models
When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a few years old. But he’s since turned the firm’s digital archives into real money. He’s netted roughly $25,000 for his code base and a still-pending amount (likely around…
AI safety
Meet the Anthropic Engineer Keeping Its AI Agent Trustworthy
If you’ve ever wondered how Claude and similar AI agents can answer complex questions in seconds and where they get the information, you’re not alone. Gurmeet Saran works to find that answer every day as an engineer at Anthropic in San Francisco, the AI research company behind Claude.
Robotics
Learning to Play Like a Pro: Adaptive Motion Planning and Tracking for Humanoid Robots
This White Paper provides roboticists and control engineers with a comprehensive overview of how motion planning and motion tracking can be decoupled to preserve professional athletic style in humanoid robots, and why adaptive, speed-aware control is essential for closing the gap between simulation and real-world deployment.
Industry
PC shipments fall 20.1 percent in “sharpest decline” since Q1 2023
"The current decline may be just the beginning of a new downward cycle."
Industry
Master AI Chip Principles With New IEEE Design Program
Today’s engineers face an unprecedented acceleration in AI hardware complexity, as explained in the recent research article “ Revisiting Edge AI: Opportunities and Challenges .” The article examines the rapid growth of edge AI and the challenges it creates, including resource constraints, model architecture limitations, and network demands across edge-AI deployments.
Industry
We’re putting too much faith in AI’s ability to say no
Ever since people first seriously contemplated giving machines an intelligence modeled on our own, there has never been any question that they would, like us, be able to say no. The sci-fi canon is full of stories of robotic disobedience. Most of these capers are, of course, cautionary. But recently, the idea that AI shouldn’t…