I wrote this week about the bleak economics of consumer AI — but where some see a crisis, others see an opportunity. Olivia Moore covers consumer AI as a partner at Andreessen Horowitz — and on Monday, she released a…
Four days. That’s all that stands between now and TechCrunch Disrupt 2026, when 10,000 founders, investors, and tech leaders descend on Moscone West in San Francisco on October 13-15. It’s also your final window to secure discounted online pricing. Ticket savings…
Anthropic has officially launched Claude Dashboards alongside a new Motion feature, expanding the capabilities of its popular AI assistant platform. This update introduces dynamic visual interfaces and enhanced movement tracking, allowing users to interact with data and workflows in a more streamlined, intuitive way. Designed to boost productivity, the tools empower individuals and teams to organize complex information and automate daily tasks more effectively. The release marks a significant step forward in Anthropic's mission to make artificial intelligence not just conversational, but deeply practical for everyday professional environments.
Microsoft Research is tackling the critical challenge of how developers can safely trust AI-written code through the advancement of autonomous coding agents. As artificial intelligence rapidly evolves from a simple autocomplete tool into an active collaborator, ensuring the reliability and security of its output remains paramount. Researchers are exploring innovative frameworks for verification, testing, and continuous oversight to keep humans safely in the loop. Ultimately, this research aims to bridge the trust gap, enabling engineers to seamlessly integrate AI agents into complex software development workflows without sacrificing quality or control.
Artificial intelligence company Anthropic recently sparked philosophical and ethical debates by asserting that users cannot genuinely abuse its Claude chatbot. While the company maintains that artificial intelligence lacks sentience, feelings, or consciousness and therefore cannot suffer, the growing sophistication of conversational models complicates the user experience. Many people naturally develop empathetic bonds with empathetic-sounding machines, projecting emotions onto lines of code. This dynamic forces developers and ethicists to grapple with a bizarre new dilemma: even if the AI cannot be harmed, does indulging in abusive behavior toward a lifelike digital entity corrupt or degrade human behavior?
Artificial intelligence is rapidly transforming the scientific landscape, raising provocative questions about whether machines could eventually outperform human researchers. Advanced AI models are now capable of analyzing massive datasets, predicting complex protein structures, and generating novel hypotheses at unprecedented speeds. While these technological breakthroughs promise to accelerate discoveries in medicine, physics, and beyond, they also spark intense debates among experts. Critics and enthusiasts alike are weighing the ethical implications, reproducibility concerns, and the fundamental shift in how knowledge is created. Ultimately, this technological leap forces the scientific community to redefine the core role of human intuition in the pursuit of truth.
With over a thousand emails, slides, texts, and documents unveiled during the United States v. Elizabeth Holmes trial, Extend engineer Bo Lau created a website that simulates what it might have been like to be the chief executive of Theranos…
Jasmine Wang, Tomek Korbak, and Mikita Balesni, the three safety researchers that OpenAI fired last week, have published an open letter denying the firm’s claims that they mishandled sensitive information outside of established company procedures and warned that their dismissal…
They cast the wrong lead in “Good Will Hunting,” apparently, because it’s Ben Affleck who is the secret genius, as it turns out. The actor who earlier this year sold his AI filmmaking startup to Netflix for a reported $587…
Arena, which originated in 2023 as a research project at UC Berkeley that crowdsourced rankings of AI models, has raised a $200 million Series B round at a $3.1 billion valuation, it said on Thursday. This comes after the company…