1841 articles
Elon Musk says Tesla aims to build 1 million Optimus humanoid robots per year in Fremont and 10 million units in Giga Texas. If achieved, it would mark the first industrial-scale humanoid robot production in history.
Grok 4 has claimed the top position on the GPQA Diamond leaderboard, beating other leading AI models on one of the industry's toughest scientific benchmarks.
AI researchers are highlighting growing differences between U.S. and Chinese AGI development. OpenAI's GPT-5 Pro is matching top benchmark results while analysts map out potential AGI timelines around 2032.
Semantic search delivers measurable accuracy improvements across leading AI models in coding tasks, with gains ranging from 6.5% to 23.5% according to new benchmark data from Cursor.
OpenAI is asking the U.S. government to guarantee its loans for over $1 trillion in AI infrastructure spending. Some see this as a smart long-term move, while others think it's a red flag for an AI bubble.
China has mandated that all new state-funded data centers use only domestic AI chips and remove foreign hardware from early-stage projects. This deals a significant blow to Nvidia, AMD, and Intel while creating a massive protected market for Chinese chipmakers.
Tech voices Clem and Victor M are praising major upgrades to llama.cpp's new interface, highlighting its speed, privacy, and fully offline capabilities as local AI gains momentum.
Volkswagen is designing and building its own AI chips in China—a strategic pivot that reflects where the future of intelligent vehicles is actually being built.
A viral chart from reveals the stunning divergence between Nvidia and Intel's data-center revenue since ChatGPT's launch. In just three years, Nvidia's revenue has exploded to $41.1 billion while Intel's stagnated at $3.9 billion—a visual testament to how AI has completely rewired the chip industry.
Sam Altman claims GPT-5 is showing the first hints of generating genuinely new scientific ideas, while GPT-6 could deliver a breakthrough comparable to the leap from GPT-3 to GPT-4. If true, AI may be shifting from a research tool to an active participant in scientific discovery.
Google's Gemini Deep Think models achieve breakthrough performance in mathematical proof generation, significantly outpacing competitors like GPT-5 and Claude on IMO-level reasoning tasks.
Cursor 2.0 launches with faster performance and better reliability, catching the eye of crypto developers who depend on efficient coding tools for complex blockchain projects.
How tech giants like Meta are financing AI infrastructure through off-balance-sheet debt structures, raising questions about financial stability.
DeepSeek introduces an efficient OCR model that compresses document layouts into compact vision tokens, reducing processing costs by up to 10× while maintaining high accuracy.
New analysis reveals that memory bandwidth—not raw computing power—has become the main bottleneck for generative AI development, sparking concerns about rising costs, industry consolidation, and the need for updated tax polici
New projections from OpenAI and Anthropic show revenue growth accelerating faster than any major tech company in history, raising urgent tax and regulatory questions as the AI sector expands at unprecedented speed.
Researchers from Tencent and Tsinghua University have introduced CALM, a revolutionary AI framework that ditches traditional token-by-token prediction for continuous vector reasoning. Early results show 44% less training compute and 4× faster generation, potentially reshaping how language models work.
Two 23-year-old Indian researchers built Maya1, an open-source AI voice model that ranks #20 globally—beating Google's best. Created entirely on free compute credits, it puts India on the map in speech AI.
A patient used Claude AI to reduce a $195,000 medical bill to $33,000—no lawyer needed—showing how AI is exposing billing errors and changing healthcare economics.
Google has announced Project Suncatcher, an ambitious plan to build solar-powered AI data centers in orbit. The mission, launching in 2027, could revolutionize how machine learning systems are powered and cooled.
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Peter Smith
Eseandre Mordi
Marina Lyubimova
Saad Ullah
Usman Salis
