A 31-year-old physician who uses AI multiple times a day at work told us about a personal prompting template he had built for DoximityGPT, the HIPAA-compliant AI tool his organization had approved.
One of the world’s leading artificial intelligence companies has implored the industry to pause development on AI, because the latest models could be reaching a tipping point where they become capable ...
The companies at the frontier of artificial intelligence should be ready to slow down, one of the fastest-moving among them says. Anthropic, the maker of the Claude chatbot, has claimed AI systems may ...
RSI is also defined as an “AI system capable of fully autonomously designing and developing its own successor,” per Anthropic’s blog post. “We are not there yet, and recursive self-improvement is not ...
In April, GitHub announced that it was moving subscribers from request-based billing to a usage-based model for its AI-powered Copilot service. As that new pricing model goes into effect today, many ...
At I/O 2026 last week, the Gemini app switched to compute-based usage limits. In response to “feedback about hitting limits too quickly,” Google today announced some changes. The new “compute-used” ...
Google’s new compute-based Gemini limits are frustrating users who say they are hitting usage caps far too quickly. One Google AI Pro subscriber shared video proof showing that a single failed ...
As a part of a massive slate of new AI announcements, Google this week also announced new compute-based usage limits for Gemini – existing users don’t seem too happy about it. Limits haven’t really ...
I've been writing about Android since 2011, with a focus on device reviews, Samsung and Google Pixel hardware, and the latest happenings in the ecosystem. In my entire writing career, I've reviewed ...
PCWorld reports Google is switching Gemini from daily request limits to a compute-based system that considers prompt complexity, features used, and chat length. This change addresses increasing ...
Recursive Superintelligence has raised $650 million at a $4.65 billion valuation in a funding round led by GV and Greycroft, according to the company. The round also included participation from AMD ...
One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult ...
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