Teenagers chatting with ChatGPT will soon see a very different version of the tool—one built with stricter ways to keep them safe online, OpenAI announced.Teenagers chatting with ChatGPT will soon see a very different version of the tool—one built with stricter ways to keep them safe online, OpenAI announced.Security[#item_full_content]
A research team led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) has built and successfully demonstrated an automated experimentation platform to optimize the fabrication of advanced materials. The platform, called AutoBot, uses machine learning algorithms to direct robotic devices to rapidly synthesize and characterize materials. The algorithms automatically refine the experiments based on analysis of the characterization results.A research team led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) has built and successfully demonstrated an automated experimentation platform to optimize the fabrication of advanced materials. The platform, called AutoBot, uses machine learning algorithms to direct robotic devices to rapidly synthesize and characterize materials. The algorithms automatically refine the experiments based on analysis of the characterization results.Energy & Green Tech[#item_full_content]
Numeral raises $35M to automate sales tax with AI
The two-year-old sales tax startup Numeral is now valued at $350 million.The two-year-old sales tax startup Numeral is now valued at $350 million.[#item_full_content]
Train delays can cascade into stalled commutes, economic losses, and vacation snags. Scheduling trains is computationally complex, though: It can take hours or days to solve large transportation networks on traditional computers, when disruptions like train breakdowns or traffic accidents demand much quicker solutions.Train delays can cascade into stalled commutes, economic losses, and vacation snags. Scheduling trains is computationally complex, though: It can take hours or days to solve large transportation networks on traditional computers, when disruptions like train breakdowns or traffic accidents demand much quicker solutions.[#item_full_content]
Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.[#item_full_content]
Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been teaching advanced AI models to reason, which means solving problems step by step. But in a new paper published in the journal Nature, the team from DeepSeek AI, a Chinese artificial intelligence company, reports that they were able to teach their R1 model to reason on its own without human input.Computer Sciences[#item_full_content]
From scrappy challenger to IPO: Chris Britt brings Chime’s playbook to TechCrunch Disrupt 2025
Chris Britt brings Chime’s playbook to TechCrunch Disrupt 2025 in October. Whether you’re building in fintech or another fast-moving sector, this is a rare opportunity to hear firsthand how to scale with resilience, discipline, and purpose. Register now before Regular Bird rates go up in a week.Chris Britt brings Chime’s playbook to TechCrunch Disrupt 2025 in October. Whether you’re building in fintech or another fast-moving sector, this is a rare opportunity to hear firsthand how to scale with resilience, discipline, and purpose. Register now before Regular Bird rates go up in a week.[#item_full_content]
Warning: This article contains discussion of suicide and self-harm. If you or someone you know is struggling with mental health or suicidal thoughts, call or text 988 (the Suicide and Crisis Lifeline) in the U.S. For those outside the U.S., the International Association for Suicide Prevention can provide access to contact information to more than 1,300 crisis centers around the world.Warning: This article contains discussion of suicide and self-harm. If you or someone you know is struggling with mental health or suicidal thoughts, call or text 988 (the Suicide and Crisis Lifeline) in the U.S. For those outside the U.S., the International Association for Suicide Prevention can provide access to contact information to more than 1,300 crisis centers around the world.Business[#item_full_content]
Building the future of Open AI with Thomas Wolf at TechCrunch Disrupt 2025
Hugging Face co-founder Thomas Wolf joins Disrupt 2025 to share how open science and moonshot projects are shaping the future of AI. October 27–29, Moscone West, San Francisco.Hugging Face co-founder Thomas Wolf joins Disrupt 2025 to share how open science and moonshot projects are shaping the future of AI. October 27–29, Moscone West, San Francisco.[#item_full_content]
Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile robots in a shared space—and helping them work with each other and with human partners—is an extremely complicated task.Developments in autonomous robotics have the potential to revolutionize manufacturing processes, making them more flexible, customizable, and efficient. But coordinating fleets of autonomous, mobile robots in a shared space—and helping them work with each other and with human partners—is an extremely complicated task.[#item_full_content]
