1659 articles
A new "System 3" thinking layer aims to give AI agents the ability to learn from experience, build identity over time, and improve themselves—capabilities that go beyond today's perception and logic-based systems.
ByteDance and Zhejiang University launched OpenVE-3M, a massive dataset for instruction-based video editing, alongside a 5-billion-parameter model delivering state-of-the-art results. The breakthrough demonstrates AI's growing ability to handle complex natural-language editing commands.
A fresh look at advanced chip patterning shows that combining Double SADP with SALELE and fully self-aligned vias could slash the number of masks needed at cutting-edge nodes—potentially making chip production cheaper and faster.
Google's AI tool NotebookLM is getting solid feedback for its Mindmap feature, which users say makes learning and understanding complex topics much easier, including analyzing code structures.
Fresh Goldman Sachs data reveals IT budgets are staying at unusually high levels going into 2026, pointing to solid demand for tech companies and hardware makers.
Chinese scientists just dropped a bombshell optical computing chip that crushes Nvidia's top GPU by over 100x in speed and efficiency. This breakthrough is pushing AI adoption way beyond the usual suspects, fueling a 10% earnings jump in the S&P 500's Impressive-493 as competition heats up across industries.
Kuaishou Technology drops a fresh approach to AI training stability with Entropy Ratio Clipping (ERC) - a method that keeps AI behavior in check by managing overall randomness instead of just tweaking individual updates, beating out PPO-Clip across multiple tests.
Liquid AI's new LFM2-2.6B-Exp proves that size isn't everything—this 3B-class model uses pure reinforcement learning to outperform much larger competitors on instruction following, knowledge extraction, and math tasks.
Nvidia's pushing for 16-layer High Bandwidth Memory by late 2025, sparking an intense tech race between Samsung, SK Hynix, and Micron to crack the manufacturing challenges first.
MirrorMe's Black Panther II robot dog clocks a blistering 13.4 m/s top speed, proving AI and hardware can work together to create seriously impressive autonomous machines.
Tesla's evolving from carmaker to AI powerhouse, betting big on self-driving tech and robotics. Here's how the company's chasing a $3 trillion valuation through full-stack intelligent systems.
GLM-4.7 lands in the top 20% of AI models evaluated by Artificial Analysis, proving open-source alternatives can compete with tech giants' proprietary systems.
McKinsey's 2025 report reveals explosive AI growth, with $124B invested and job postings up 35%. Companies are shifting from isolated experiments to full-scale deployments across multiple departments.
Kapwing's study shows AI-generated videos now dominate YouTube recommendations, with 278 channels raking in $117M annually from 63 billion views.
Nvidia's entering a non-exclusive licensing deal with Groq, snagging its AI inference-chip technology and hiring key talent, including founder Jonathan Ross. The partnership boosts Nvidia's AI game without raising antitrust red flags.
Morgan Stanley forecasts the global robotics market will explode from $91 billion to $25 trillion by 2050, transforming industries through automation in logistics, agriculture, and healthcare.
A new "Peer Arena" benchmark puts AI models head-to-head in debates where they vote on each other's responses. Anthropic's Claude 4.5 took the top spot by rating, but OpenAI's GPT-5.2 showed the highest tendency to vote for itself among all tested systems.
Microsoft CEO Satya Nadella has personally stepped in to tackle Copilot's reliability problems, joining a 100-engineer Teams channel and running weekly fix-it sessions to address user complaints across Microsoft 365.
Grok Code just claimed the top spot on the Kilo Agentic Model Leaderboard after logging 35.6 billion tokens in real developer usage—more than quadruple its nearest competitor.
Leading AI companies are paying interns engineer-level salaries and providing dedicated compute budgets as competition for early-career AI talent intensifies.
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Eseandre Mordi
Peter Smith
Saad Ullah
Usman Salis
Sergey Diakov
Alex Dudov
Victoria Bazir
Artem Voloskovets
