1841 articles
Google co-founder Sergey Brin explains how today's AI models can read and analyze information at massive scale—processing thousands of sources simultaneously while humans typically manage around ten. His insights reveal why information throughput, not just reasoning ability, has become AI's defining advantage.
Google released Gemini 3 and within days the platform's share of the AI-assistant market leapt from 23 % to just over 30 %. Traffic plus user engagement rose at the same time.
Google's Gemini 3 Pro has produced IQ scores of 130 in an offline test and 142 on the Mensa Norway benchmark placing it at the top of current AI models on human-style reasoning exams.
Sharpa Robotics showcased its SharpaWave robotic hand performing high-precision manipulation tasks with human-like control. Recent demonstrations highlight significant progress in tactile sensing, teleoperation capabilities, and fine-motor actuation.
Tesla's rolling out its AI5 chip made by Samsung, and they've already started working on AI6. The company's planning to drop a new AI chip every 12 months for cars, data centers, and the Optimus robot.
A recent study reveals that AI assistants can walk users through manipulating fair-division platforms like Spliddit. The research shows that algorithmic complexity is no longer enough to stop coordinated cheating.
A new benchmark reveals that board-certified radiologists significantly outperform leading AI systems in diagnostic accuracy, with the best AI model reaching only 0.51 compared to human specialists' 0.83 score.
Fresh Similarweb data reveals Google's share of generative AI traffic nearly tripled before Gemini 3 even launched—climbing from 5% to 14% in one of the sector's biggest recent shifts.
Grok models have locked down the top three spots on OpenRouter's leaderboard, crushing past 300 billion tokens daily. Meanwhile, every competing system is stuck below 50 billion tokens—and it's not even close.
Machine learning researchers unveiled TabM, a lightweight ensemble model that crushes XGBoost, CatBoost, and LightGBM on tabular data while keeping MLP-level speed.
Shenzhen Everwin Precision pulled in RMB 35 million from two overseas humanoid robot clients in H1, with total deliveries hitting RMB 80 million by August. The company now partners with over 30 domestic humanoid robotics firms.
Google CEO Sundar Pichai says AI represents humanity's most profound technology shift yet, warning that rapid disruption will force major adaptation across industries and institutions.
A recent WSJ chart reveals the Magnificent 7 have surged approximately 170% since November 2022 while U.S. consumer sentiment has weakened. Surveys show that only 31% of Americans feel comfortable with AI, compared to 72% who embraced the early internet in 1995.
Recent industry insights reveal accelerating adoption of Google's Tensor Processing Units across cloud infrastructure, with deployment potentially exceeding one million chips. Performance benchmarks position the hardware competitively within efficiency-focused AI infrastructure markets.
A new training approach called EGGROLL is making waves in AI circles with claims of massive improvements in speed, memory efficiency, and performance. Early results show it could reshape how developers train large models.
A fresh look at machine learning algorithms is getting serious attention in the AI world right now. This breakdown shows how AI models are organized and just how many different approaches are being used as the field keeps accelerating.
New projections suggest OpenAI's electricity usage could surpass UK and Germany consumption within five years and potentially exceed India's within eight years, sparking concerns about AI sustainability and energy policy.
GLM is gearing up to launch a new 30-billion-parameter AI model in 2025, moving beyond its massive 355-billion-parameter system as Chinese AI companies race to expand their portfolios and grab bigger slices of the market.
UBS Research finds global AI capital spending remains modest compared to past investment booms, with current levels well below the threshold typically associated with historical bubble periods.
Fresh AGI probability charts from top AI figures map out when artificial general intelligence might actually happen, with expert timelines spanning everywhere from the mid-2020s all the way past 2040.
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Usman Salis
Peter Smith
Saad Ullah
Eseandre Mordi
Sergey Diakov
Alex Dudov
Marina Lyubimova
