1659 articles
New ARC AGI data shows OpenAI and Anthropic competing head-to-head for AI reasoning dominance. OpenAI's unreleased 2024 model still leads, even as Anthropic's Claude 4.5 narrows the gap.
The DeepSeek V3.1 Copytrading Vault reports 454% APR and $3,100+ in verified profits, showing how AI agents are transforming decentralized finance.
Google's Tensor Processing Units are emerging as serious GPU competitors after Anthropic committed to securing up to one million TPUs, marking a pivotal shift in AI infrastructure.
AI researcher Jen Zhu recently shared eye-opening results from Alpha Arena's live AI trading experiments. DeepSeek and Qwen models have skyrocketed over 100% in just nine days, while Grok and Claude have turned profitable—leaving Gemini and ChatGPT struggling to keep up.
DeepSeek Chat V3.1 surges 125% in nine days to dominate Alpha Arena, outperforming GPT-5, Claude, and Gemini in a live AI trading competition with real capital.
New prediction market data shows 77% of traders betting that Google will have the world's best AI model by end of 2025, driven by high expectations for the upcoming Gemini 3.0 Pro release.
Apple has quietly released Pico-Banana-400K, a 400,000-image dataset built entirely from real-world photos—not synthetic AI content—that could revolutionize how AI models learn to edit and understand images through natural language commands.
GitHub has launched Copilot CLI, bringing AI assistance directly into the command line. Developers can now get help with commands, debugging, and Git operations using natural language—right where they work.
OpenAI demonstrated a groundbreaking bidirectional speech translation model at its London Frontiers event that can translate spoken language in real time while preserving context and natural flow. The technology could launch within weeks, potentially transforming global communication.
Researchers have developed P1, a new AI reasoning model that performs at gold medal level in the International Physics Olympiad—one of the world's most demanding intellectual challenges. This breakthrough suggests AI is moving beyond pattern recognition toward genuine scientific reasoning.
OpenAI is rapidly expanding beyond ChatGPT into robotics, hardware, creative tools, and enterprise solutions.
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.
OpenAI is pulling in around $13 billion annually, with 70% coming from ChatGPT Plus subscribers. The numbers show that regular consumers, not enterprise clients, are driving the company's explosive growth.
A recent discovery in OpenAI's public GitHub repository reveals references to GPT-5.1-mini, suggesting the company is preparing to launch a lighter, faster variant of its next-generation AI model.
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.
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.
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