1841 articles
xAI is moving faster than any AI company out there right now. Before 2025 wraps up, we're expecting several major releases—including Grok 4.2, Grokipedia, and the Grok X algorithm—with Grok 5 following in early 2026.
Alphabet's record $116 billion net income demonstrates its ability to fund massive AI infrastructure investments from operating profits alone.
The software industry faces a structural shift as AI automation drives a 70% collapse in job postings since 2022, while boosting developer productivity and creating a polarized workforce between elite engineers and AI-powered entrepreneurs.
Google is testing Interactive Mode in its Stitch design tool, enabling AI to predict and generate interface transitions in real-time, potentially transforming how digital products are built.
A fresh forecast from Bain & Company, highlighted by analyst, shows global data center capacity is about to explode—with AI workloads pushing growth between 13% and 20% annually through 2030.
Mondelez International, the company behind Oreos and Cadbury, has invested $40 million in developing its own AI video model to create TV ads—slashing production costs by up to 50% and signaling a major shift in how commercials are made.
Google has launched Google Skills, a free platform offering AI training that typically costs $50,000+ at universities. With 3,000+ courses, hands-on labs, and $500 in cloud credits, it's opening world-class tech education to anyone with internet access.
JPMorgan just extended a $38 billion loan to Oracle—weeks after warning that the company's debt levels were dangerously high. The contradiction reveals how Wall Street is betting big on AI infrastructure, even as the risks mount.
New research from Anthropic and Thinking Machines reveals that AI models may be developing distinct "personalities" based on their internal guidelines. The study suggests these behavioral patterns aren't accidental—they're designed.
Amazon Web Services is losing ground in the AI race after betting on its own chips instead of NVIDIA's. The move that was supposed to save money is now costing them customers.
OpenAI is looking into ad-based revenue for ChatGPT, driven by a wave of former Meta executives now steering the ship. It's a clear shift from pure AI research toward engagement metrics and advertising dollars.
Fresh benchmark results from the ARC-AGI-3 challenge at MIT show humans still have the edge over top AI systems when it comes to adaptive reasoning—though that gap is getting smaller as AI learns to learn continuously.
Microsoft just dropped a game-changing Edge update that lets Copilot take the wheel of your browser—literally. We're talking about AI that can actually do things on its own, not just suggest them.
A link to Grokipedia has surfaced on Grok's web platform, hinting that xAI's AI-powered encyclopedia may be launching soon. The project could fundamentally change how AI systems organize and deliver knowledge.
Google Cloud and Anthropic have locked in a massive partnership that gives Anthropic access to one million TPUs and over one gigawatt of computing power by 2026 — a deal that could completely reshape how AI infrastructure economics work.
Wharton professor Ethan Mollick says AI-generated music has become indistinguishable from human compositions—a milestone that signals artificial creativity is advancing faster than expected.
Growth strategist Greg Kamradt spotted something rare in a retention chart—users coming back after they'd left. His viral analysis reveals what happens when product improvements actually work.
MIT researchers have developed InvThink, a breakthrough approach that teaches AI to predict and prevent harm before responding—eliminating the traditional trade-off between safety and performance.
Stanford researchers have developed AgentDebug, a framework that helps AI agents pinpoint their mistakes and fix them on the fly. Instead of restarting from scratch, agents can now diagnose where they went wrong and correct just that part—a breakthrough in making AI more reliable and efficient.
While flashy OCR models grab headlines, olmOCR has quietly become the go-to choice for accuracy and cost. At just $178 per million pages, it outperforms competitors like DeepSeek-OCR without the hype.
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