1662 articles
The AI training data debate heats up as legal experts draw parallels to the Google Books case, suggesting current lawsuits against AI companies might reach similar conclusions about copyright and transformative use.
A mystery competitor in Alpha Arena's autonomous trading competition has been revealed as Grok 4.20 after taking first place. Each AI model traded independently with $10,000 in real markets over two weeks.
Anthropic launched an AI interviewer to explore how professionals use AI at work. Data from 1,250 participants shows significant time savings alongside trust issues and a growing shift toward AI supervision roles.
Emancro Robotics launched EASO, an autonomous humanoid robot that automates medication management in hospitals, marking another advancement in practical healthcare robotics.
Former Google CEO Eric Schmidt says AI systems need to enhance human freedom, not restrict it. Public acceptance hinges on whether AI can handle emergencies responsibly while protecting civil liberties.
HSBC analysts predict OpenAI could rack up close to half a trillion dollars in operating losses by decade's end, raising serious questions about the sustainability of large-scale AI development backed by Microsoft (MSFT).
Fresh market analysis reveals Micron will supply only a fraction of Google's high-bandwidth memory needs through 2026, with Samsung and SK Hynix maintaining their stronghold on the market despite expectations of broader diversification.
OpenAI is testing four new AI models ahead of a potential release next week that could rival Google's Gemini 3.0, according to recent reports.
Anthropic introduces Claude for Nonprofits, offering up to 75% discounts and platform integrations to help nonprofit organizations boost productivity and streamline operations.
Qualcomm's new multimodal in-car AI model, AutoNeural-VL-1.5B, is now running locally in real vehicles with 100-millisecond response times, optimized for the SA8295P NPU.
Four new OpenAI models have surfaced on DesignArena, with Emperor leading the pack in reasoning power and three lighter versions designed for different use cases.
New Bernstein projections reveal Huawei's path to dominating China's AI accelerator market next year, while domestic chip production is on track to surpass national demand by 2028.
ChatGPT saw 5.844 billion website visits in November, its second monthly decline this year. The dip happened even though the platform hit a record daily peak of 233 million visits.
Grok 4.1 debuts with an industry-leading 2-million-token context window, outpacing all major AI competitors and enabling entire codebases and lengthy documents to process in one session.
A researcher reports that GPT-5 proposed the central idea developed in a new Quantum Field Theory paper published in Physics Letters B. Screenshots show GPT-5 outlining a key conceptual step using the Tomonaga–Schwinger formalism.
Alibaba introduced Qwen3-VL, a multimodal vision-language model with a 256K native context window, enhanced text comprehension, and improved reasoning capabilities across visual tasks, showing top performance in multiple AI benchmarks.
Bank of America reports a sharp jump in debt issuance by major tech companies funding AI datacenter expansion, with 2025 borrowing at $121 billion—four times the five-year average. Hyperscalers are leaning heavily on loans and bonds as capital needs climb.
Fresh measurements from Google show Gemini now uses far less water, electricity, and CO₂ than earlier reports suggested. The updated data reveals a 33-fold jump in energy efficiency compared to widely circulated 2023 figures.
Anthropic CEO Dario Amodei shared an optimistic outlook on AI's future, describing exponential capability growth and massive commercial potential. His comments reveal how advanced models are already transforming internal development workflows at the company.
Tencent AI Lab introduced R-Few, a self-evolving training framework that lets large language models improve themselves with minimal human input. The system uses a Challenger–Solver architecture to tackle key stability challenges in iterative LLM training.
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Eseandre Mordi
Alex Dudov
Usman Salis
Peter Smith
Saad Ullah
Artem Voloskovets
Sergey Diakov
Victoria Bazir
