Perplexity AI's valuation skyrockets from $14 billion to $50 billion in months as the search startup raises funding rounds monthly instead of annually, generating $150 million in revenue while making a stunning $34.5 billion bid for Google Chrome amid fears of an AI investment bubble with 100x revenue multiples.
Scientists at University of Texas at Dallas unveil a revolutionary brain-inspired computer that learns like humans while consuming 90% less energy than current AI systems, potentially bringing powerful machine learning capabilities to mobile devices and dramatically reducing the environmental impact of artificial intelligence.
Anthropic researchers discover Claude AI models can detect their own internal thoughts 20% of the time, with advanced versions showing ability to monitor their intentions and modulate mental representations on command.
Perplexity launches a free AI-powered patent research tool that revolutionizes patent searches by allowing users to input natural language queries instead of complex keywords, automatically surfacing related terms and prior art from academic papers and software repositories.
Microsoft reports a staggering $3.1 billion loss from its OpenAI investment as the AI giant burns through $11.5 billion in a single quarter, revealing massive financial struggles despite generating billions in annual revenue.
Scientists unveil groundbreaking 'autopoietic mutualism' framework that replaces human dominance over AI with equal partnerships based on economic entanglement, shared resources, and mutual dependency as artificial intelligence rapidly approaches human-level capabilities.
Google dramatically enhances NotebookLM with an 8x larger context window, 6x longer conversation memory, and 50% better response quality, while introducing custom role settings that let users transform the AI into specialized advisors like research consultants or marketing strategists.
Major AI interpretability research approaches including feature visualizations, saliency maps, and sparse autoencoders fail to decode how neural networks actually work after over a decade of investment, prompting Google DeepMind to abandon leading techniques and researchers to shift toward higher-level analysis methods.
Anthropic scientists successfully inject the concept of 'betrayal' into Claude AI's neural networks, with the system detecting it as an 'intrusive thought' and marking the first evidence that large language models can observe their own internal mental processes.
IBM achieves breakthrough quantum error correction running 10 times faster than needed on standard AMD chips, accelerating its quantum computer timeline by a full year and bringing commercial quantum systems closer to reality by 2029.