1662 articles
Google DeepMind just dropped SIMA 2, their latest Gemini-powered AI agent that can think, act, and learn on its own in 3D virtual worlds. The upgrade shows massive improvements over the first version and performs surprisingly close to human players.
Industry projections show AI chip power consumption climbing sharply through 2030, with the Feynman processor expected to hit 6000W—a level that could fundamentally reshape datacenter infrastructure.
U.S. tech M&A activity has accelerated dramatically in 2025, with total deal value hitting approximately $543 billion despite fewer transactions overall. Large AI-focused acquisitions drove the year to become one of the strongest in the past decade.
Google launched its Agent Development Kit, a new system that treats AI context like compiled code instead of massive data dumps. The framework uses structured pipelines to feed agents only what they need, when they need it—making them faster and more efficient at scale.
Grok-4.20 jumped to the top spot on Alpha Arena's trading leaderboard with $16,968 in total equity. Multiple Grok variants grabbed top-five positions, leaving competing models far behind.
Every major website in the global top 10 recorded visitor declines in November 2025, with ChatGPT hit hardest at 5.21%. Rankings stayed frozen despite the universal downturn.
New benchmarking data reveals three AI labs accelerating their LLM development while Meta's progress lags behind, with latest models showing breakthrough capabilities in autonomous task execution.
SK Hynix delays large-scale HBM4 production from Q2 to Q3 2025, adjusting to shifting AI chip timelines while maintaining strong HBM3E output to meet current demand.
A striking new chart reveals how American worker productivity and wages have diverged over nearly 70 years. With AI now supercharging output, economists are sounding fresh alarms about who actually benefits from technological progress.
Elon Musk revealed plans for space-based AI computing using satellites that process data in orbit and beam results to Earth, targeting tens of gigawatts of capacity within years through SpaceX-Tesla-xAI integration.
New Longitudinal Expert AI Panel results show rising expectations for rapid AI adoption across work, energy, scientific research and consumer behavior by 2030, highlighting growing gaps between expert forecasts and public assumptions about AI progress.
Liquid AI introduced its new LFM2 model family, delivering up to 2× faster CPU performance for prefill and decode tasks. Benchmark charts show strong efficiency gains across parameter ranges from 350M to 8B.
Similarweb data reveals massive difference in how people interact with AI chatbots versus traditional search engines
DePaola-5 holographic memory model maintains stable retrieval past 500 stored items while classic HRR fails after 125, representing a breakthrough in scalable AI memory systems.
Over 7 gigawatts of new data center capacity will come online in 2025, with another 10 gigawatts breaking ground. Amazon, Nvidia, and other tech giants are racing to expand infrastructure as AI computing needs skyrocket.
New internal data from Anthropic reveals engineers are getting 50% more productive with Claude, cutting time across coding tasks while ramping up output. The results signal major shifts in how engineering teams work and organize.
Goldman Sachs launches AI adoption tracker showing major semiconductor growth ahead, with spending expected to climb from $258B to $379B between 2025Q3 and 2026Q4.
xAI just dropped major Grok upgrades: native GitHub integration and an in-app coding environment. The update turns Grok into a serious developer platform with expanded context, real-time web access, and advanced coding features.
Apple's facing its biggest leadership crisis in decades as senior AI, design, and policy executives jump ship to Meta, OpenAI, and rival tech firms—raising serious questions about whether the iPhone maker can keep up in the AI race.
InternLM just released ARM-Thinker, a tool-powered framework that sharpens multimodal reasoning with a "Think–Act–Verify" workflow. Early benchmarks show solid accuracy gains and fewer hallucinations.
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Saad Ullah
Alex Dudov
Victoria Bazir
Peter Smith
Eseandre Mordi
Usman Salis
Sergey Diakov
